


import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 		_snake_case  (      _snake_case						,    unittest.TestCase							):
 SCREAMING_SNAKE_CASE__      =       CodeGenTokenizer
 SCREAMING_SNAKE_CASE__      =       CodeGenTokenizerFast
 SCREAMING_SNAKE_CASE__      =       True
 SCREAMING_SNAKE_CASE__      =       {'add_prefix_space': True}
 SCREAMING_SNAKE_CASE__      =       False




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       super().setUp()

       # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
       a						:Any 							=       [
           '''l''',
           '''o''',
           '''w''',
           '''e''',
           '''r''',
           '''s''',
           '''t''',
           '''i''',
           '''d''',
           '''n''',
           '''\u0120''',
           '''\u0120l''',
           '''\u0120n''',
           '''\u0120lo''',
           '''\u0120low''',
           '''er''',
           '''\u0120lowest''',
           '''\u0120newer''',
           '''\u0120wider''',
           '''<unk>''',
           '''<|endoftext|>''',
       ]
       a						:Any 							=       dict(zip(_lowerCamelCase					,  range(len(_lowerCamelCase    )    )    )    )
       a						:Union[str, Any] 							=       ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
       a						:Dict 							=       {'''unk_token''': '''<unk>'''}

       a						:List[str] 							=       os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['''vocab_file''']    )
       a						:Optional[Any] 							=       os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['''merges_file''']    )
       with open(self.vocab_file					,  '''w'''					,  encoding='''utf-8'''    ) as fp:
             fp.write(json.dumps(_lowerCamelCase    ) + '''\n'''    )
       with open(self.merges_file					,  '''w'''					,  encoding='''utf-8'''    ) as fp:
             fp.write('''\n'''.join(_lowerCamelCase    )    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  **_lowerCamelCase    ):
       kwargs.update(self.special_tokens_map    )
       return CodeGenTokenizer.from_pretrained(self.tmpdirname					,  **_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  **_lowerCamelCase    ):
       kwargs.update(self.special_tokens_map    )
       return CodeGenTokenizerFast.from_pretrained(self.tmpdirname					,  **_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       a						:Optional[Any] 							=       '''lower newer'''
       a						:Union[str, Any] 							=       '''lower newer'''
       return input_text, output_text




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Dict 							=       CodeGenTokenizer(self.vocab_file					,  self.merges_file					,  **self.special_tokens_map    )
       a						:Dict 							=       '''lower newer'''
       a						:List[Any] 							=       ['''\u0120low''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
       a						:int 							=       tokenizer.tokenize(_lowerCamelCase					,  add_prefix_space=_lowerCamelCase    )
       self.assertListEqual(_lowerCamelCase					,  _lowerCamelCase    )

       a						:Any 							=       tokens + [tokenizer.unk_token]
       a						:int 							=       [14, 15, 10, 9, 3, 2, 15, 19]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase    )					,  _lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       if not self.test_rust_tokenizer:
             return

       a						:List[Any] 							=       self.get_tokenizer()
       a						:Optional[Any] 							=       self.get_rust_tokenizer(add_prefix_space=_lowerCamelCase    )

       a						:Tuple 							=       '''lower newer'''

       # Testing tokenization
       a						:Optional[Any] 							=       tokenizer.tokenize(_lowerCamelCase					,  add_prefix_space=_lowerCamelCase    )
       a						:int 							=       rust_tokenizer.tokenize(_lowerCamelCase    )
       self.assertListEqual(_lowerCamelCase					,  _lowerCamelCase    )

       # Testing conversion to ids without special tokens
       a						:List[Any] 							=       tokenizer.encode(_lowerCamelCase					,  add_special_tokens=_lowerCamelCase					,  add_prefix_space=_lowerCamelCase    )
       a						:Any 							=       rust_tokenizer.encode(_lowerCamelCase					,  add_special_tokens=_lowerCamelCase    )
       self.assertListEqual(_lowerCamelCase					,  _lowerCamelCase    )

       # Testing conversion to ids with special tokens
       a						:Any 							=       self.get_rust_tokenizer(add_prefix_space=_lowerCamelCase    )
       a						:str 							=       tokenizer.encode(_lowerCamelCase					,  add_prefix_space=_lowerCamelCase    )
       a						:List[str] 							=       rust_tokenizer.encode(_lowerCamelCase    )
       self.assertListEqual(_lowerCamelCase					,  _lowerCamelCase    )

       # Testing the unknown token
       a						:List[Any] 							=       tokens + [rust_tokenizer.unk_token]
       a						:List[str] 							=       [14, 15, 10, 9, 3, 2, 15, 19]
       self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(_lowerCamelCase    )					,  _lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  *_lowerCamelCase					,  **_lowerCamelCase    ):
       # It's very difficult to mix/test pretokenization with byte-level
       # And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
       pass




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase=15    ):
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
                   a						:Optional[Any] 							=       self.rust_tokenizer_class.from_pretrained(_lowerCamelCase					,  **_lowerCamelCase    )

                   # Simple input
                   a						:Optional[Any] 							=       '''This is a simple input'''
                   a						:List[str] 							=       ['''This is a simple input 1''', '''This is a simple input 2''']
                   a						:str 							=       ('''This is a simple input''', '''This is a pair''')
                   a						:Dict 							=       [
                       ('''This is a simple input 1''', '''This is a simple input 2'''),
                       ('''This is a simple pair 1''', '''This is a simple pair 2'''),
                   ]

                   # Simple input tests
                   self.assertRaises(_lowerCamelCase					,  tokenizer_r.encode					,  _lowerCamelCase					,  max_length=_lowerCamelCase					,  padding='''max_length'''    )

                   # Simple input
                   self.assertRaises(_lowerCamelCase					,  tokenizer_r.encode_plus					,  _lowerCamelCase					,  max_length=_lowerCamelCase					,  padding='''max_length'''    )

                   # Simple input
                   self.assertRaises(
                       _lowerCamelCase					,  tokenizer_r.batch_encode_plus					,  _lowerCamelCase					,  max_length=_lowerCamelCase					,  padding='''max_length'''					,  )

                   # Pair input
                   self.assertRaises(_lowerCamelCase					,  tokenizer_r.encode					,  _lowerCamelCase					,  max_length=_lowerCamelCase					,  padding='''max_length'''    )

                   # Pair input
                   self.assertRaises(_lowerCamelCase					,  tokenizer_r.encode_plus					,  _lowerCamelCase					,  max_length=_lowerCamelCase					,  padding='''max_length'''    )

                   # Pair input
                   self.assertRaises(
                       _lowerCamelCase					,  tokenizer_r.batch_encode_plus					,  _lowerCamelCase					,  max_length=_lowerCamelCase					,  padding='''max_length'''					,  )




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:List[str] 							=       CodeGenTokenizer.from_pretrained(self.tmpdirname					,  pad_token='''<pad>'''    )

       # Simple input
       a						:List[Any] 							=       '''This is a simple input'''
       a						:Optional[int] 							=       ['''This is a simple input looooooooong''', '''This is a simple input''']
       a						:Dict 							=       ('''This is a simple input''', '''This is a pair''')
       a						:int 							=       [
           ('''This is a simple input loooooong''', '''This is a simple input'''),
           ('''This is a simple pair loooooong''', '''This is a simple pair'''),
       ]

       a						:Optional[Any] 							=       tokenizer.pad_token_id

       a						:List[Any] 							=       tokenizer(_lowerCamelCase					,  padding='''max_length'''					,  max_length=30					,  return_tensors='''np'''    )
       a						:Dict 							=       tokenizer(_lowerCamelCase					,  padding=_lowerCamelCase					,  truncate=_lowerCamelCase					,  return_tensors='''np'''    )
       a						:Tuple 							=       tokenizer(*_lowerCamelCase					,  padding='''max_length'''					,  max_length=60					,  return_tensors='''np'''    )
       a						:Any 							=       tokenizer(_lowerCamelCase					,  padding=_lowerCamelCase					,  truncate=_lowerCamelCase					,  return_tensors='''np'''    )

       # s
       # test single string max_length padding
       self.assertEqual(out_s['''input_ids'''].shape[-1]					,  30    )
       self.assertTrue(pad_token_id in out_s['''input_ids''']    )
       self.assertTrue(0 in out_s['''attention_mask''']    )

       # s2
       # test automatic padding
       self.assertEqual(out_sa['''input_ids'''].shape[-1]					,  33    )
       # long slice doesn't have padding
       self.assertFalse(pad_token_id in out_sa['''input_ids'''][0]    )
       self.assertFalse(0 in out_sa['''attention_mask'''][0]    )
       # short slice does have padding
       self.assertTrue(pad_token_id in out_sa['''input_ids'''][1]    )
       self.assertTrue(0 in out_sa['''attention_mask'''][1]    )

       # p
       # test single pair max_length padding
       self.assertEqual(out_p['''input_ids'''].shape[-1]					,  60    )
       self.assertTrue(pad_token_id in out_p['''input_ids''']    )
       self.assertTrue(0 in out_p['''attention_mask''']    )

       # p2
       # test automatic padding pair
       self.assertEqual(out_pa['''input_ids'''].shape[-1]					,  52    )
       # long slice pair doesn't have padding
       self.assertFalse(pad_token_id in out_pa['''input_ids'''][0]    )
       self.assertFalse(0 in out_pa['''attention_mask'''][0]    )
       # short slice pair does have padding
       self.assertTrue(pad_token_id in out_pa['''input_ids'''][1]    )
       self.assertTrue(0 in out_pa['''attention_mask'''][1]    )




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Optional[Any] 							=       '''$$$'''
       a						:Dict 							=       CodeGenTokenizer.from_pretrained(self.tmpdirname					,  bos_token=_lowerCamelCase					,  add_bos_token=_lowerCamelCase    )

       a						:Optional[int] 							=       '''This is a simple input'''
       a						:int 							=       ['''This is a simple input 1''', '''This is a simple input 2''']

       a						:Union[str, Any] 							=       tokenizer.bos_token_id

       a						:List[str] 							=       tokenizer(_lowerCamelCase    )
       a						:str 							=       tokenizer(_lowerCamelCase    )

       self.assertEqual(out_s.input_ids[0]					,  _lowerCamelCase    )
       self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids    )    )

       a						:str 							=       tokenizer.decode(out_s.input_ids    )
       a						:Tuple 							=       tokenizer.batch_decode(out_sa.input_ids    )

       self.assertEqual(decode_s.split()[0]					,  _lowerCamelCase    )
       self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa    )    )




 @slow
 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:List[Any] 							=       CodeGenTokenizer.from_pretrained('''Salesforce/codegen-350M-mono'''    )

       a						:Optional[int] 							=       '''\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'''
       a						:Dict 							=       '''\nif len_a > len_b:      result = a\nelse:      result = b'''

       a						:str 							=       tokenizer.encode(_lowerCamelCase    )
       a						:List[str] 							=       ['''^#''', re.escape('''<|endoftext|>'''    ), '''^\'\'\'''', '''^"""''', '''\n\n\n''']
       a						:Optional[Any] 							=       tokenizer.decode(_lowerCamelCase					,  truncate_before_pattern=_lowerCamelCase    )
       self.assertEqual(_lowerCamelCase					,  _lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       pass









from __future__ import annotations
def 				__lowerCamelCase						( UpperCAmelCase_						:		dict ,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      a							,				a						:Optional[Any] 							=       set(UpperCAmelCase_						), [start]

      while stack:
            a						:Optional[int] 							=       stack.pop()
            explored.add(UpperCAmelCase_						)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]						):
                  if adj not in explored:
                        stack.append(UpperCAmelCase_						)
      return explored


snake_case				:    Optional[int]       				=     {
    '''A''': ['''B''', '''C''', '''D'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F'''],
    '''D''': ['''B''', '''D'''],
    '''E''': ['''B''', '''F'''],
    '''F''': ['''C''', '''E''', '''G'''],
    '''G''': ['''F'''],
}

if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(depth_first_search(G, '''A'''))





