


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


A      :    Any		=					get_tests_dir("fixtures/test_sentencepiece.model")

A      :    List[str]		=					{"target_lang": "fi", "source_lang": "en"}
A      :    Dict		=					">>zh<<"
A      :    Union[str, Any]		=					"Helsinki-NLP/"

if is_torch_available():
    A      :    Optional[int]		=					"pt"
elif is_tf_available():
    A      :    str		=					"tf"
else:
    A      :    str		=					"jax"







@require_sentencepiece
class 			_lowercase (							lowercase__							,  unittest.TestCase):


       """simple docstring"""




       A__											=			MarianTokenizer
       A__											=			False
       A__											=			True





       def 						lowerCAmelCase     (   self							:			Dict       ):


             '''simple docstring'''



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

             lowerCamelCase__		:				Tuple    =  MarianTokenizer.from_pretrained(self.tmpdirname       )
             tokenizer.save_pretrained(self.tmpdirname       )





       def 						lowerCAmelCase     (   self							:			Optional[int]					,      **__lowerCamelCase							:			Tuple       ):


             '''simple docstring'''



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





       def 						lowerCAmelCase     (   self							:			Any					,      __lowerCamelCase							:			List[Any]       ):


             '''simple docstring'''



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





       def 						lowerCAmelCase     (   self							:			Dict       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  "</s>"
             lowerCamelCase__		:				Union[str, Any]    =  0

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





       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  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(__lowerCamelCase       )					,      9       )





       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



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





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  MarianTokenizer.from_pretrained(f"{ORG_NAME}opus-mt-en-de"       )
             lowerCamelCase__		:				Any    =  en_de_tokenizer(["I am a small frog"]					,      return_tensors=__lowerCamelCase       )
             self.assertIsInstance(__lowerCamelCase					,      __lowerCamelCase       )
             lowerCamelCase__		:				str    =  [38, 121, 14, 697, 38848, 0]
             self.assertListEqual(__lowerCamelCase					,      batch.input_ids[0]       )

             lowerCamelCase__		:				Optional[Any]    =  tempfile.mkdtemp()
             en_de_tokenizer.save_pretrained(__lowerCamelCase       )
             lowerCamelCase__		:				int    =  [x.name for x in Path(__lowerCamelCase       ).glob("*"       )]
             self.assertIn("source.spm"					,      __lowerCamelCase       )
             MarianTokenizer.from_pretrained(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			List[str]       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  self.get_tokenizer()

             lowerCamelCase__		:				Any    =  tok(
                 ["I am a small frog" * 1000, "I am a small frog"]					,      padding=__lowerCamelCase					,      truncation=__lowerCamelCase					,      return_tensors=__lowerCamelCase       )
             self.assertIsInstance(__lowerCamelCase					,      __lowerCamelCase       )
             self.assertEqual(batch.input_ids.shape					,      (2, 512)       )





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  self.get_tokenizer()
             lowerCamelCase__		:				Union[str, Any]    =  tok(["I am a tiny frog", "I am a small frog"]					,      padding=__lowerCamelCase					,      return_tensors=__lowerCamelCase       )
             self.assertIsInstance(__lowerCamelCase					,      __lowerCamelCase       )
             self.assertEqual(batch_smaller.input_ids.shape					,      (2, 10)       )





       @slow
       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  {"input_ids": [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], "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=__lowerCamelCase					,      model_name="Helsinki-NLP/opus-mt-en-de"					,      revision="1a8c2263da11e68e50938f97e10cd57820bd504c"					,      decode_kwargs={"use_source_tokenizer": True}					,      )





       def 						lowerCAmelCase     (   self							:			Any       ):


             '''simple docstring'''



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

             lowerCamelCase__		:				Any    =  "Tämä on testi"
             lowerCamelCase__		:				Optional[int]    =  "This is a test"

             lowerCamelCase__		:				Optional[Any]    =  [76, 7, 2047, 2]
             lowerCamelCase__		:				List[str]    =  [69, 12, 11, 940, 2]

             lowerCamelCase__		:				Optional[Any]    =  tokenizer(__lowerCamelCase       ).input_ids
             self.assertListEqual(__lowerCamelCase					,      __lowerCamelCase       )

             lowerCamelCase__		:				List[str]    =  tokenizer(text_target=__lowerCamelCase       ).input_ids
             self.assertListEqual(__lowerCamelCase					,      __lowerCamelCase       )

             lowerCamelCase__		:				Union[str, Any]    =  tokenizer.decode(__lowerCamelCase					,      skip_special_tokens=__lowerCamelCase       )
             self.assertEqual(__lowerCamelCase					,      __lowerCamelCase       )






from collections import defaultdict

def       lowercase_		(		_A			:    int						):

      """simple docstring"""




      lowerCamelCase__		:				Union[str, Any]    =  1
      lowerCamelCase__		:				Dict    =  True
      for v in tree[start]:
            if v not in visited:
                  ret += dfs(_A						)
      if ret % 2 == 0:
            cuts.append(_A						)
      return ret

def       lowercase_		(		):

      """simple docstring"""




      dfs(1						)


if __name__ == "__main__":
    A,  A      :    Tuple		=					10, 9
    A      :    int		=					defaultdict(list)
    A      :    dict[int, bool]		=					{}
    A      :    list[int]		=					[]
    A      :    List[str]		=					0
    A      :    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)


