
'''simple docstring'''

import math






class 				A       :





	def __init__(   self     :    Tuple ,							__magic_name__     :    List[str] ,							__magic_name__     :    Dict ,							__magic_name__     :    int							):


				"""simple docstring"""

				lowerCAmelCase__									=							x
				lowerCAmelCase__									=							y
				lowerCAmelCase__									=							z







	def __repr__(   self     :    Optional[int]							):


				"""simple docstring"""

				return f"""Point({self.x}, {self.y}, {self.z})"""







def 					A       ( UpperCamelCase_   :       Point  ,		UpperCamelCase_   :       Point )   ->    float:







			'''simple docstring'''



			return math.sqrt(abs((b.x - a.x) ** 2 + (b.y - a.y) ** 2 + (b.z - a.z) ** 2 ) )


if __name__ == "__main__":
		import doctest

		doctest.testmod()







'''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/





