



"""simple docstring"""

import re

from filelock import FileLock


try:
			import nltk

			lowercase__			   =  True
except (ImportError, ModuleNotFoundError):
			lowercase__			   =  False

if NLTK_AVAILABLE:
			with FileLock(".lock") as lock:
						nltk.download("punkt", quiet=True)





def       __magic_name__    (   _lowerCamelCase				: str					):
							re.sub("""<n>"""  ,       """"""  ,       _lowerCamelCase					)  # remove pegasus newline char
							assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
							return "\n".join(nltk.sent_tokenize(_lowerCamelCase					)					)






"""simple docstring"""

from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters





def       __magic_name__    (   ):
							__a		:		Dict									=       {
							    """repo_name""": ["""test_repo1""", """test_repo2""", """test_repo3"""],
							    """path""": ["""test_1.py""", """test_2.py""", """unit_test.py"""],
							    """content""": ["""a """ * 2_0, """a """ * 3_0, """b """ * 7],
							}
							__a		:		Optional[Any]									=       Dataset.from_dict(_lowerCamelCase					)
							return dataset







class SCREAMING_SNAKE_CASE__					(		__snake_case      ):



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Optional[int]									=       get_dataset()
													__a		:		List[Any]									=       make_duplicate_clusters(_lowercase						,     0.85							)
													self.assertEqual(len(duplicate_clusters[0]							)						,     2							)





						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Tuple									=       get_dataset()
													__a							,     __a		:		Optional[Any]									=       deduplicate_dataset(_lowercase							)
													self.assertEqual(len(_lowercase							)						,     2							)
													print(_lowercase							)
													self.assertEqual(duplicate_clusters[0][0]["""copies"""]						,     2							)
													self.assertEqual(duplicate_clusters[0][0]["""is_extreme"""]						,     _lowercase							)

