'''simple docstring'''

import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
  __a:			int	       =       """pt"""
elif is_tf_available():
  __a:			Optional[Any]	       =       """tf"""
else:
  __a:			Tuple	       =       """jax"""



class       UpperCAmelCase  (						a__   ,						unittest.TestCase ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   PerceiverTokenizer
       SCREAMING_SNAKE_CASE 		=   False

       def _lowerCAmelCase(						self			)  ->  int:
        super().setUp()
        lowercase__    :   List[Any]						= PerceiverTokenizer()
        tokenizer.save_pretrained(self.tmpdirname			)

       @cached_property
       def _lowerCAmelCase(						self			)  ->  List[Any]:
        return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''			)

       def _lowerCAmelCase(						self     ,       **__lowerCAmelCase			)  ->  PerceiverTokenizer:
        return self.tokenizer_class.from_pretrained(self.tmpdirname     ,       **__lowerCAmelCase			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=20     ,       __lowerCAmelCase=5			)  ->  Tuple[str, list]:
        # XXX The default common tokenizer tests assume that every ID is decodable on its own.
        # This assumption is invalid for Perceiver because single bytes might not be
        # valid utf-8 (byte 128 for instance).
        # Here we're overriding the smallest possible method to provide
        # a clean sequence without making the same assumption.

        lowercase__    :   List[str]						= []
        for i in range(len(__lowerCAmelCase			)			):
         try:
          lowercase__    :   Optional[int]						= tokenizer.decode([i]     ,       clean_up_tokenization_spaces=__lowerCAmelCase			)
         except UnicodeDecodeError:
          pass
         toks.append((i, tok)			)

        lowercase__    :   List[Any]						= list(filter(lambda __lowerCAmelCase			: re.match(r'''^[ a-zA-Z]+$'''     ,       t[1]			)     ,       __lowerCAmelCase			)			)
        lowercase__    :   int						= list(filter(lambda __lowerCAmelCase			: [t[0]] == tokenizer.encode(t[1]     ,       add_special_tokens=__lowerCAmelCase			)     ,       __lowerCAmelCase			)			)
        if max_length is not None and len(__lowerCAmelCase			) > max_length:
         lowercase__    :   Dict						= toks[:max_length]
        if min_length is not None and len(__lowerCAmelCase			) < min_length and len(__lowerCAmelCase			) > 0:
         while len(__lowerCAmelCase			) < min_length:
          lowercase__    :   Optional[int]						= toks + toks
        # toks_str = [t[1] for t in toks]
        lowercase__    :   Optional[int]						= [t[0] for t in toks]

        # Ensure consistency
        lowercase__    :   Tuple						= tokenizer.decode(__lowerCAmelCase     ,       clean_up_tokenization_spaces=__lowerCAmelCase			)
        if " " not in output_txt and len(__lowerCAmelCase			) > 1:
         lowercase__    :   str						= (
             tokenizer.decode([toks_ids[0]]     ,       clean_up_tokenization_spaces=__lowerCAmelCase			)
             + ''' '''
             + tokenizer.decode(toks_ids[1:]     ,       clean_up_tokenization_spaces=__lowerCAmelCase			)
         )
        if with_prefix_space:
         lowercase__    :   Tuple						= ''' ''' + output_txt
        lowercase__    :   Tuple						= tokenizer.encode(__lowerCAmelCase     ,       add_special_tokens=__lowerCAmelCase			)
        return output_txt, output_ids

       def _lowerCAmelCase(						self			)  ->  str:
        lowercase__    :   Union[str, Any]						= self.perceiver_tokenizer
        lowercase__    :   Dict						= '''Unicode €.'''
        lowercase__    :   Tuple						= tokenizer(__lowerCAmelCase			)
        lowercase__    :   Union[str, Any]						= [4, 91, 116, 111, 105, 117, 106, 107, 38, 232, 136, 178, 52, 5]
        self.assertEqual(encoded['''input_ids''']     ,       __lowerCAmelCase			)

        # decoding
        lowercase__    :   str						= tokenizer.decode(__lowerCAmelCase			)
        self.assertEqual(__lowerCAmelCase     ,       '''[CLS]Unicode €.[SEP]'''			)

        lowercase__    :   Tuple						= tokenizer('''e è é ê ë'''			)
        lowercase__    :   Union[str, Any]						= [4, 107, 38, 201, 174, 38, 201, 175, 38, 201, 176, 38, 201, 177, 5]
        self.assertEqual(encoded['''input_ids''']     ,       __lowerCAmelCase			)
        # decoding
        lowercase__    :   Optional[int]						= tokenizer.decode(__lowerCAmelCase			)
        self.assertEqual(__lowerCAmelCase     ,       '''[CLS]e è é ê ë[SEP]'''			)

        # encode/decode, but with `encode` instead of `__call__`
        self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''			)			)     ,       '''[CLS]e è é ê ë[SEP]'''			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        lowercase__    :   List[Any]						= self.perceiver_tokenizer
        lowercase__    :   List[str]						= ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
        # fmt: off
        lowercase__    :   List[Any]						= [4, 71, 38, 114, 117, 116, 109, 38, 118, 103, 120, 103, 109, 120, 103, 118, 110, 38, 108, 117, 120, 38, 121, 123, 115, 115, 103, 120, 111, 128, 103, 122, 111, 117, 116, 52, 5, 0]
        # fmt: on
        lowercase__    :   Any						= tokenizer(__lowerCAmelCase     ,       padding=__lowerCAmelCase     ,       return_tensors=__lowerCAmelCase			)
        self.assertIsInstance(__lowerCAmelCase     ,       __lowerCAmelCase			)

        if FRAMEWORK != "jax":
         lowercase__    :   Tuple						= list(batch.input_ids.numpy()[0]			)
        else:
         lowercase__    :   Tuple						= list(batch.input_ids.tolist()[0]			)

        self.assertListEqual(__lowerCAmelCase     ,       __lowerCAmelCase			)

        self.assertEqual((2, 38)     ,       batch.input_ids.shape			)
        self.assertEqual((2, 38)     ,       batch.attention_mask.shape			)

       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   Dict						= self.perceiver_tokenizer
        lowercase__    :   Optional[Any]						= ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
        lowercase__    :   int						= tokenizer(__lowerCAmelCase     ,       padding=__lowerCAmelCase     ,       return_tensors=__lowerCAmelCase			)
        # check if input_ids are returned and no decoder_input_ids
        self.assertIn('''input_ids'''     ,       __lowerCAmelCase			)
        self.assertIn('''attention_mask'''     ,       __lowerCAmelCase			)
        self.assertNotIn('''decoder_input_ids'''     ,       __lowerCAmelCase			)
        self.assertNotIn('''decoder_attention_mask'''     ,       __lowerCAmelCase			)

       def _lowerCAmelCase(						self			)  ->  List[Any]:
        lowercase__    :   Any						= self.perceiver_tokenizer
        lowercase__    :   Union[str, Any]						= [
            '''Summary of the text.''',
            '''Another summary.''',
        ]
        lowercase__    :   List[str]						= tokenizer(
            text_target=__lowerCAmelCase     ,       max_length=32     ,       padding='''max_length'''     ,       truncation=__lowerCAmelCase     ,       return_tensors=__lowerCAmelCase			)
        self.assertEqual(32     ,       targets['''input_ids'''].shape[1]			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        # safety check on max_len default value so we are sure the test works
        lowercase__    :   Any						= self.get_tokenizers()
        for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""			):
          self.assertNotEqual(tokenizer.model_max_length     ,       42			)

        # Now let's start the test
        lowercase__    :   Any						= self.get_tokenizers()
        for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""			):
          # Isolate this from the other tests because we save additional tokens/etc
          lowercase__    :   Optional[int]						= tempfile.mkdtemp()

          lowercase__    :   Dict						= ''' He is very happy, UNwant\u00E9d,running'''
          lowercase__    :   Optional[int]						= tokenizer.encode(__lowerCAmelCase     ,       add_special_tokens=__lowerCAmelCase			)
          tokenizer.save_pretrained(__lowerCAmelCase			)

          lowercase__    :   int						= tokenizer.__class__.from_pretrained(__lowerCAmelCase			)
          lowercase__    :   int						= after_tokenizer.encode(__lowerCAmelCase     ,       add_special_tokens=__lowerCAmelCase			)
          self.assertListEqual(__lowerCAmelCase     ,       __lowerCAmelCase			)

          shutil.rmtree(__lowerCAmelCase			)

        lowercase__    :   List[str]						= self.get_tokenizers(model_max_length=42			)
        for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""			):
          # Isolate this from the other tests because we save additional tokens/etc
          lowercase__    :   List[str]						= tempfile.mkdtemp()

          lowercase__    :   Optional[int]						= ''' He is very happy, UNwant\u00E9d,running'''
          tokenizer.add_tokens(['''bim''', '''bambam''']			)
          lowercase__    :   List[str]						= tokenizer.additional_special_tokens
          additional_special_tokens.append('''new_additional_special_token'''			)
          tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}			)
          lowercase__    :   List[str]						= tokenizer.encode(__lowerCAmelCase     ,       add_special_tokens=__lowerCAmelCase			)
          tokenizer.save_pretrained(__lowerCAmelCase			)

          lowercase__    :   Any						= tokenizer.__class__.from_pretrained(__lowerCAmelCase			)
          lowercase__    :   List[Any]						= after_tokenizer.encode(__lowerCAmelCase     ,       add_special_tokens=__lowerCAmelCase			)
          self.assertListEqual(__lowerCAmelCase     ,       __lowerCAmelCase			)
          self.assertIn('''new_additional_special_token'''     ,       after_tokenizer.additional_special_tokens			)
          self.assertEqual(after_tokenizer.model_max_length     ,       42			)

          lowercase__    :   List[str]						= tokenizer.__class__.from_pretrained(__lowerCAmelCase     ,       model_max_length=43			)
          self.assertEqual(tokenizer.model_max_length     ,       43			)

          shutil.rmtree(__lowerCAmelCase			)

       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        lowercase__    :   List[Any]						= []
        if self.test_slow_tokenizer:
         tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())			)

        if self.test_rust_tokenizer:
         tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())			)

        for tokenizer_class, tokenizer_utils in tokenizer_list:
         with tempfile.TemporaryDirectory() as tmp_dir:
          tokenizer_utils.save_pretrained(__lowerCAmelCase			)

          with open(os.path.join(__lowerCAmelCase     ,       '''special_tokens_map.json'''			)     ,       encoding='''utf-8'''			) as json_file:
           lowercase__    :   List[Any]						= json.load(__lowerCAmelCase			)

          with open(os.path.join(__lowerCAmelCase     ,       '''tokenizer_config.json'''			)     ,       encoding='''utf-8'''			) as json_file:
           lowercase__    :   Optional[Any]						= json.load(__lowerCAmelCase			)

          lowercase__    :   str						= [F"""<extra_id_{i}>""" for i in range(125			)]

          lowercase__    :   str						= added_tokens_extra_ids + [
              '''an_additional_special_token'''
          ]
          lowercase__    :   Optional[Any]						= added_tokens_extra_ids + [
              '''an_additional_special_token'''
          ]

          with open(os.path.join(__lowerCAmelCase     ,       '''special_tokens_map.json'''			)     ,       '''w'''     ,       encoding='''utf-8'''			) as outfile:
           json.dump(__lowerCAmelCase     ,       __lowerCAmelCase			)
          with open(os.path.join(__lowerCAmelCase     ,       '''tokenizer_config.json'''			)     ,       '''w'''     ,       encoding='''utf-8'''			) as outfile:
           json.dump(__lowerCAmelCase     ,       __lowerCAmelCase			)

          # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
          # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
          # "special_tokens_map.json" files
          lowercase__    :   Any						= tokenizer_class.from_pretrained(
              __lowerCAmelCase     ,       )
          self.assertIn(
              '''an_additional_special_token'''     ,       tokenizer_without_change_in_init.additional_special_tokens			)
          self.assertEqual(
              ['''an_additional_special_token''']     ,       tokenizer_without_change_in_init.convert_ids_to_tokens(
                  tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']			)			)     ,       )

          # Now we test that we can change the value of additional_special_tokens in the from_pretrained
          lowercase__    :   Union[str, Any]						= added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''     ,       lstrip=__lowerCAmelCase			)]
          lowercase__    :   str						= tokenizer_class.from_pretrained(
              __lowerCAmelCase     ,       additional_special_tokens=__lowerCAmelCase     ,       )

          self.assertIn('''a_new_additional_special_token'''     ,       tokenizer.additional_special_tokens			)
          self.assertEqual(
              ['''a_new_additional_special_token''']     ,       tokenizer.convert_ids_to_tokens(
                  tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']			)			)     ,       )

       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   Tuple						= self.perceiver_tokenizer
        self.assertEqual(tokenizer.decode([178]			)     ,       '''�'''			)

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

       def _lowerCAmelCase(						self			)  ->  List[Any]:
        pass

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        pass

       def _lowerCAmelCase(						self			)  ->  str:
        pass


       def _lowerCAmelCase(						self			)  ->  Tuple:
        # The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
        # strings and special added tokens as tokens
        lowercase__    :   int						= self.get_tokenizers(fast=__lowerCAmelCase     ,       do_lower_case=__lowerCAmelCase			)
        for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""			):
          lowercase__    :   int						= ['''[CLS]''', '''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''s''', '''t''', '''[SEP]''']
          lowercase__    :   str						= tokenizer.convert_tokens_to_string(__lowerCAmelCase			)

          self.assertIsInstance(__lowerCAmelCase     ,       __lowerCAmelCase			)


'''simple docstring'''

class       UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self			)  ->  List[str]:
        lowercase__    :   Dict						= {}

       def _lowerCAmelCase(						self			)  ->  None:
        print(self.vertex			)
        for i in self.vertex:
         print(__lowerCAmelCase     ,       ''' -> '''     ,       ''' -> '''.join([str(__lowerCAmelCase			) for j in self.vertex[i]]			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  None:
        # check if vertex is already present,
        if from_vertex in self.vertex:
         self.vertex[from_vertex].append(__lowerCAmelCase			)
        else:
         # else make a new vertex
         lowercase__    :   Union[str, Any]						= [to_vertex]

       def _lowerCAmelCase(						self			)  ->  None:
        # visited array for storing already visited nodes
        lowercase__    :   str						= [False] * len(self.vertex			)

        # call the recursive helper function
        for i in range(len(self.vertex			)			):
         if not visited[i]:
          self.dfs_recursive(__lowerCAmelCase     ,       __lowerCAmelCase			)


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  None:
        # mark start vertex as visited
        lowercase__    :   List[str]						= True

        print(__lowerCAmelCase     ,       end=''' '''			)

        # Recur for all the vertices that are adjacent to this node
        for i in self.vertex:
         if not visited[i]:
          self.dfs_recursive(__lowerCAmelCase     ,       __lowerCAmelCase			)


if __name__ == "__main__":
  __a:			Optional[Any]	       =       Graph()
  g.add_edge(0, 1)
  g.add_edge(0, 2)
  g.add_edge(1, 2)
  g.add_edge(2, 0)
  g.add_edge(2, 3)
  g.add_edge(3, 3)

  g.print_graph()
  print("""DFS:""")
  g.dfs()

  # OUTPUT:
  # 0  ->  1 -> 2
  # 1  ->  2
  # 2  ->  0 -> 3
  # 3  ->  3
  # DFS:
  #  0 1 2 3

