






'''simple docstring'''


import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
					from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase_				: str    	=							get_tests_dir('''fixtures/test_sentencepiece.model''')

lowerCamelCase_				: int    	=							{'''target_lang''': '''fi''', '''source_lang''': '''en'''}
lowerCamelCase_				: int    	=							'''>>zh<<'''
lowerCamelCase_				: Tuple    	=							'''Helsinki-NLP/'''

if is_torch_available():
					lowerCamelCase_				: Optional[Any]    	=							'''pt'''
elif is_tf_available():
					lowerCamelCase_				: str    	=							'''tf'''
else:
					lowerCamelCase_				: Any    	=							'''jax'''
@require_sentencepiece
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE       ,unittest.TestCase	):


			'''simple docstring'''





			__a							:							Optional[Any]					     =					MarianTokenizer
			__a							:							Optional[int]					     =					False
			__a							:							List[Any]					     =					True






			def 				A      (   self							:						Optional[int]			)							->    int:

									'''simple docstring'''







									super().setUp()
									UpperCamelCase__         = ["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
									UpperCamelCase__         = dict(zip(lowercase ,      range(len(lowercase			)			)			)			)
									UpperCamelCase__         = Path(self.tmpdirname			)
									save_json(lowercase ,      save_dir / VOCAB_FILES_NAMES["""vocab"""]			)
									save_json(lowercase ,      save_dir / VOCAB_FILES_NAMES["""tokenizer_config_file"""]			)
									if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
															copyfile(lowercase ,      save_dir / VOCAB_FILES_NAMES["""source_spm"""]			)
															copyfile(lowercase ,      save_dir / VOCAB_FILES_NAMES["""target_spm"""]			)

									UpperCamelCase__         = MarianTokenizer.from_pretrained(self.tmpdirname			)
									tokenizer.save_pretrained(self.tmpdirname			)






			def 				A      (   self							:						str ,      **lowercase							:						List[Any]			)							->    MarianTokenizer:

									'''simple docstring'''







									return MarianTokenizer.from_pretrained(self.tmpdirname ,      **lowercase			)






			def 				A      (   self							:						Tuple ,      lowercase							:						str			)							->    Optional[int]:

									'''simple docstring'''







									return (
									    "This is a test",
									    "This is a test",
									)






			def 				A      (   self							:						Any			)							->    Tuple:

									'''simple docstring'''







									UpperCamelCase__         = """</s>"""
									UpperCamelCase__         = 0

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase			) ,      lowercase			)
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase			) ,      lowercase			)






			def 				A      (   self							:						Optional[Any]			)							->    Optional[Any]:

									'''simple docstring'''







									UpperCamelCase__         = list(self.get_tokenizer().get_vocab().keys()			)

									self.assertEqual(vocab_keys[0] ,      """</s>"""			)
									self.assertEqual(vocab_keys[1] ,      """<unk>"""			)
									self.assertEqual(vocab_keys[-1] ,      """<pad>"""			)
									self.assertEqual(len(lowercase			) ,      9			)






			def 				A      (   self							:						Any			)							->    List[Any]:

									'''simple docstring'''







									self.assertEqual(self.get_tokenizer().vocab_size ,      9			)






			def 				A      (   self							:						int			)							->    List[str]:

									'''simple docstring'''







									UpperCamelCase__         = MarianTokenizer.from_pretrained(f"{ORG_NAME}opus-mt-en-de"			)
									UpperCamelCase__         = en_de_tokenizer(["""I am a small frog"""] ,      return_tensors=lowercase			)
									self.assertIsInstance(lowercase ,      lowercase			)
									UpperCamelCase__         = [3_8, 1_2_1, 1_4, 6_9_7, 3_8_8_4_8, 0]
									self.assertListEqual(lowercase ,      batch.input_ids[0]			)

									UpperCamelCase__         = tempfile.mkdtemp()
									en_de_tokenizer.save_pretrained(lowercase			)
									UpperCamelCase__         = [x.name for x in Path(lowercase			).glob("""*"""			)]
									self.assertIn("""source.spm""" ,      lowercase			)
									MarianTokenizer.from_pretrained(lowercase			)






			def 				A      (   self							:						List[str]			)							->    Dict:

									'''simple docstring'''







									UpperCamelCase__         = self.get_tokenizer()

									UpperCamelCase__         = tok(
									    ["""I am a small frog""" * 1_0_0_0, """I am a small frog"""] ,      padding=lowercase ,      truncation=lowercase ,      return_tensors=lowercase			)
									self.assertIsInstance(lowercase ,      lowercase			)
									self.assertEqual(batch.input_ids.shape ,      (2, 5_1_2)			)






			def 				A      (   self							:						int			)							->    Optional[Any]:

									'''simple docstring'''







									UpperCamelCase__         = self.get_tokenizer()
									UpperCamelCase__         = tok(["""I am a tiny frog""", """I am a small frog"""] ,      padding=lowercase ,      return_tensors=lowercase			)
									self.assertIsInstance(lowercase ,      lowercase			)
									self.assertEqual(batch_smaller.input_ids.shape ,      (2, 1_0)			)






			@slow
			def 				A      (   self							:						Optional[Any]			)							->    List[str]:

									'''simple docstring'''







									UpperCamelCase__         = {"""input_ids""": [[4_3_4_9_5, 4_6_2, 2_0, 4_2_1_6_4, 1_3_6_9, 5_2, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 7_4_9_1, 3_8_9_9_9, 6, 8, 4_6_4, 1_3_2, 1_7_0_3, 4_9_2, 1_3, 4_6_6_9, 3_7_8_6_7, 1_3, 7_5_2_5, 2_7, 1_5_9_3, 9_8_8, 1_3, 3_3_9_7_2, 7_0_2_9, 6, 2_0, 8_2_5_1, 3_8_3, 2, 2_7_0, 5_8_6_6, 3_7_8_8, 2, 2_3_5_3, 8_2_5_1, 1_2_3_3_8, 2, 1_3_9_5_8, 3_8_7, 2, 3_6_2_9, 6_9_5_3, 1_8_8, 2_9_0_0, 2, 1_3_9_5_8, 8_0_1_1, 1_1_5_0_1, 2_3, 8_4_6_0, 4_0_7_3, 3_4_0_0_9, 2_0, 4_3_5, 1_1_4_3_9, 2_7, 8, 8_4_6_0, 4_0_7_3, 6_0_0_4, 2_0, 9_9_8_8, 3_7_5, 2_7, 3_3, 2_6_6, 1_9_4_5, 1_0_7_6, 1_3_5_0, 3_7_8_6_7, 3_2_8_8, 5, 5_7_7, 1_0_7_6, 4_3_7_4, 8, 5_0_8_2, 5, 2_6_4_5_3, 2_5_7, 5_5_6, 4_0_3, 2, 2_4_2, 1_3_2, 3_8_3, 3_1_6, 4_9_2, 8, 1_0_7_6_7, 6, 3_1_6, 3_0_4, 4_2_3_9, 3, 0], [1_4_8, 1_5_7_2_2, 1_9, 1_8_3_9, 1_2, 1_3_5_0, 1_3, 2_2_3_2_7, 5_0_8_2, 5_4_1_8, 4_7_5_6_7, 3_5_9_3_8, 5_9, 3_1_8, 1_9_5_5_2, 1_0_8, 2_1_8_3, 5_4, 1_4_9_7_6, 4_8_3_5, 3_2, 5_4_7, 1_1_1_4, 8, 3_1_5, 2_4_1_7, 5, 9_2, 1_9_0_8_8, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0], [3_6, 6_3_9_5, 1_2_5_7_0, 3_9_1_4_7, 1_1_5_9_7, 6, 2_6_6, 4, 4_5_4_0_5, 7_2_9_6, 3, 0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0, 5_8_1_0_0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=lowercase ,      model_name="""Helsinki-NLP/opus-mt-en-de""" ,      revision="""1a8c2263da11e68e50938f97e10cd57820bd504c""" ,      decode_kwargs={"""use_source_tokenizer""": True} ,      )







			def 				A      (   self							:						str			)							->    Union[str, Any]:

									'''simple docstring'''







									UpperCamelCase__         = MarianTokenizer.from_pretrained("""hf-internal-testing/test-marian-two-vocabs"""			)

									UpperCamelCase__         = """Tämä on testi"""
									UpperCamelCase__         = """This is a test"""

									UpperCamelCase__         = [7_6, 7, 2_0_4_7, 2]
									UpperCamelCase__         = [6_9, 1_2, 1_1, 9_4_0, 2]

									UpperCamelCase__         = tokenizer(lowercase			).input_ids
									self.assertListEqual(lowercase ,      lowercase			)

									UpperCamelCase__         = tokenizer(text_target=lowercase			).input_ids
									self.assertListEqual(lowercase ,      lowercase			)

									UpperCamelCase__         = tokenizer.decode(lowercase ,      skip_special_tokens=lowercase			)
									self.assertEqual(lowercase ,      lowercase			)











'''simple docstring'''


from collections import defaultdict







def 	__magic_name__( _A					):
						'''simple docstring'''





						UpperCamelCase__         = 1
						UpperCamelCase__         = True
						for v in tree[start]:
												if v not in visited:
																		ret += dfs(_A					)
						if ret % 2 == 0:
												cuts.append(_A					)
						return ret







def 	__magic_name__( ):
						'''simple docstring'''





						dfs(1					)


if __name__ == "__main__":
					lowerCamelCase_	,     lowerCamelCase_				: int    	=							10, 9
					lowerCamelCase_				: int    	=							defaultdict(list)
					lowerCamelCase_				: dict[int, bool]    	=							{}
					lowerCamelCase_				: list[int]    	=							[]
					lowerCamelCase_				: Union[str, Any]    	=							0
					lowerCamelCase_				: Tuple    	=							[(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
					for u, v in edges:
										tree[u].append(v)
										tree[v].append(u)
					even_tree()
					print(len(cuts) - 1)
