





import tempfile
import unittest

import numpy as np
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import BertConfig, is_flax_available
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_flax


if is_flax_available():
     import os

     from flax.core.frozen_dict import unfreeze
     from flax.traverse_util import flatten_dict

     from transformers import FlaxBertModel

     __A							   =							"0.12"  # assumed parallelism: 8



@require_flax
@is_staging_test
class   _SCREAMING_SNAKE_CASE		(      unittest.TestCase       ):







 '''simple docstring'''

 @classmethod
 def 				SCREAMING_SNAKE_CASE_   (cls							:  str)			->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__: Optional[int]         =TOKEN
   HfFolder.save_token(UpperCAmelCase_)

 @classmethod
 def 				SCREAMING_SNAKE_CASE_   (cls							:  Optional[Any])			->int:



   '''simple docstring'''



   try:
     delete_repo(token=cls._token			,					repo_id="test-model-flax")
   except HTTPError:
     pass

   try:
     delete_repo(token=cls._token			,					repo_id="valid_org/test-model-flax-org")
   except HTTPError:
     pass

 def 				SCREAMING_SNAKE_CASE_   (self							:  Any)			->Tuple:



   '''simple docstring'''



   lowerCamelCase__: str         =BertConfig(
       vocab_size=99			,					hidden_size=32			,					num_hidden_layers=5			,					num_attention_heads=4			,					intermediate_size=37)
   lowerCamelCase__: Dict         =FlaxBertModel(UpperCAmelCase_)
   model.push_to_hub("test-model-flax"			,					use_auth_token=self._token)

   lowerCamelCase__: Union[str, Any]         =FlaxBertModel.from_pretrained(F"""{USER}/test-model-flax""")

   lowerCamelCase__: str         =flatten_dict(unfreeze(model.params))
   lowerCamelCase__: Union[str, Any]         =flatten_dict(unfreeze(new_model.params))

   for key in base_params.keys():
     lowerCamelCase__: List[str]         =(base_params[key] - new_params[key]).sum().item()
     self.assertLessEqual(UpperCAmelCase_			,					1E-3			,					msg=F"""{key} not identical""")

   # Reset repo
   delete_repo(token=self._token			,					repo_id="test-model-flax")

   # Push to hub via save_pretrained
   with tempfile.TemporaryDirectory() as tmp_dir:
     model.save_pretrained(UpperCAmelCase_			,					repo_id="test-model-flax"			,					push_to_hub=UpperCAmelCase_			,					use_auth_token=self._token)

   lowerCamelCase__: Tuple         =FlaxBertModel.from_pretrained(F"""{USER}/test-model-flax""")

   lowerCamelCase__: Optional[int]         =flatten_dict(unfreeze(model.params))
   lowerCamelCase__: List[str]         =flatten_dict(unfreeze(new_model.params))

   for key in base_params.keys():
     lowerCamelCase__: List[Any]         =(base_params[key] - new_params[key]).sum().item()
     self.assertLessEqual(UpperCAmelCase_			,					1E-3			,					msg=F"""{key} not identical""")







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



   '''simple docstring'''



   lowerCamelCase__: Any         =BertConfig(
       vocab_size=99			,					hidden_size=32			,					num_hidden_layers=5			,					num_attention_heads=4			,					intermediate_size=37)
   lowerCamelCase__: List[str]         =FlaxBertModel(UpperCAmelCase_)
   model.push_to_hub("valid_org/test-model-flax-org"			,					use_auth_token=self._token)

   lowerCamelCase__: Optional[int]         =FlaxBertModel.from_pretrained("valid_org/test-model-flax-org")

   lowerCamelCase__: int         =flatten_dict(unfreeze(model.params))
   lowerCamelCase__: Any         =flatten_dict(unfreeze(new_model.params))

   for key in base_params.keys():
     lowerCamelCase__: List[str]         =(base_params[key] - new_params[key]).sum().item()
     self.assertLessEqual(UpperCAmelCase_			,					1E-3			,					msg=F"""{key} not identical""")

   # Reset repo
   delete_repo(token=self._token			,					repo_id="valid_org/test-model-flax-org")

   # Push to hub via save_pretrained
   with tempfile.TemporaryDirectory() as tmp_dir:
     model.save_pretrained(
         UpperCAmelCase_			,					repo_id="valid_org/test-model-flax-org"			,					push_to_hub=UpperCAmelCase_			,					use_auth_token=self._token)

   lowerCamelCase__: int         =FlaxBertModel.from_pretrained("valid_org/test-model-flax-org")

   lowerCamelCase__: Union[str, Any]         =flatten_dict(unfreeze(model.params))
   lowerCamelCase__: Union[str, Any]         =flatten_dict(unfreeze(new_model.params))

   for key in base_params.keys():
     lowerCamelCase__: Tuple         =(base_params[key] - new_params[key]).sum().item()
     self.assertLessEqual(UpperCAmelCase_			,					1E-3			,					msg=F"""{key} not identical""")





def 	lowerCAmelCase_					(			__a      ,       __a						)	->						Union[str, Any]:







  """simple docstring"""





  lowerCamelCase__: int         =True
  lowerCamelCase__: Any         =flatten_dict(modela.params						)
  lowerCamelCase__: Any         =flatten_dict(modela.params						)
  for key in flat_params_a.keys():
    if np.sum(np.abs(flat_params_a[key] - flat_params_a[key]						)						) > 1e-4:
      lowerCamelCase__: Dict         =False

  return models_are_equal






@require_flax
class   _SCREAMING_SNAKE_CASE		(      unittest.TestCase       ):







 '''simple docstring'''

 def 				SCREAMING_SNAKE_CASE_   (self							:  str)			->Any:



   '''simple docstring'''



   lowerCamelCase__: Optional[Any]         =BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only")
   lowerCamelCase__: str         =FlaxBertModel(UpperCAmelCase_)

   lowerCamelCase__: int         ="bert"
   with tempfile.TemporaryDirectory() as tmp_dir:
     model.save_pretrained(os.path.join(UpperCAmelCase_			,					UpperCAmelCase_))

     with self.assertRaises(UpperCAmelCase_):
       lowerCamelCase__: Tuple         =FlaxBertModel.from_pretrained(UpperCAmelCase_)

     lowerCamelCase__: Optional[int]         =FlaxBertModel.from_pretrained(UpperCAmelCase_			,					subfolder=UpperCAmelCase_)

   self.assertTrue(check_models_equal(UpperCAmelCase_			,					UpperCAmelCase_))

 def 				SCREAMING_SNAKE_CASE_   (self							:  Any)			->Any:



   '''simple docstring'''



   lowerCamelCase__: Union[str, Any]         =BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only")
   lowerCamelCase__: List[Any]         =FlaxBertModel(UpperCAmelCase_)

   lowerCamelCase__: int         ="bert"
   with tempfile.TemporaryDirectory() as tmp_dir:
     model.save_pretrained(os.path.join(UpperCAmelCase_			,					UpperCAmelCase_)			,					max_shard_size="10KB")

     with self.assertRaises(UpperCAmelCase_):
       lowerCamelCase__: Dict         =FlaxBertModel.from_pretrained(UpperCAmelCase_)

     lowerCamelCase__: str         =FlaxBertModel.from_pretrained(UpperCAmelCase_			,					subfolder=UpperCAmelCase_)

   self.assertTrue(check_models_equal(UpperCAmelCase_			,					UpperCAmelCase_))

 def 				SCREAMING_SNAKE_CASE_   (self							:  List[Any])			->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__: str         ="bert"
   lowerCamelCase__: Optional[Any]         ="hf-internal-testing/tiny-random-bert-subfolder"

   with self.assertRaises(UpperCAmelCase_):
     lowerCamelCase__: Union[str, Any]         =FlaxBertModel.from_pretrained(UpperCAmelCase_)

   lowerCamelCase__: Tuple         =FlaxBertModel.from_pretrained(UpperCAmelCase_			,					subfolder=UpperCAmelCase_)

   self.assertIsNotNone(UpperCAmelCase_)







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



   '''simple docstring'''



   lowerCamelCase__: List[str]         ="bert"
   lowerCamelCase__: Optional[int]         ="hf-internal-testing/tiny-random-bert-sharded-subfolder"
   with self.assertRaises(UpperCAmelCase_):
     lowerCamelCase__: Dict         =FlaxBertModel.from_pretrained(UpperCAmelCase_)

   lowerCamelCase__: Any         =FlaxBertModel.from_pretrained(UpperCAmelCase_			,					subfolder=UpperCAmelCase_)

   self.assertIsNotNone(UpperCAmelCase_)








import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


_A					:				Dict				=			get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")



class 					__snake_case	(  __SCREAMING_SNAKE_CASE			,     unittest.TestCase    ):


    '''simple docstring'''







    lowerCamelCase__    :		Any				=	BartphoTokenizer
    lowerCamelCase__    :		Tuple				=	False
    lowerCamelCase__    :		Dict				=	True



    def  lowercase_					(       self     ):





        '''simple docstring'''

        super().setUp()

        SCREAMING_SNAKE_CASE__											=			['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
        SCREAMING_SNAKE_CASE__											=			dict(zip(A_   ,				range(len(A_     )     )     )     )
        SCREAMING_SNAKE_CASE__											=			{'''unk_token''': '''<unk>'''}

        SCREAMING_SNAKE_CASE__											=			os.path.join(self.tmpdirname   ,				VOCAB_FILES_NAMES['''monolingual_vocab_file''']     )
        with open(self.monolingual_vocab_file   ,				'''w'''   ,				encoding='''utf-8'''     ) as fp:
            for token in vocab_tokens:
                fp.write(f'''{token} {vocab_tokens[token]}\n'''     )

        SCREAMING_SNAKE_CASE__											=			BartphoTokenizer(A_   ,				self.monolingual_vocab_file   ,				**self.special_tokens_map     )
        tokenizer.save_pretrained(self.tmpdirname     )



    def  lowercase_					(       self   ,				**A_     ):





        '''simple docstring'''

        kwargs.update(self.special_tokens_map     )
        return BartphoTokenizer.from_pretrained(self.tmpdirname   ,				**A_     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			'''This is a là test'''
        SCREAMING_SNAKE_CASE__											=			'''This is a<unk><unk> test'''
        return input_text, output_text




    def  lowercase_					(       self     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			BartphoTokenizer(A_   ,				self.monolingual_vocab_file   ,				**self.special_tokens_map     )
        SCREAMING_SNAKE_CASE__											=			'''This is a là test'''
        SCREAMING_SNAKE_CASE__											=			'''▁This ▁is ▁a ▁l à ▁t est'''.split()
        SCREAMING_SNAKE_CASE__											=			tokenizer.tokenize(A_     )
        self.assertListEqual(A_   ,				A_     )

        SCREAMING_SNAKE_CASE__											=			tokens + [tokenizer.unk_token]
        SCREAMING_SNAKE_CASE__											=			[4, 5, 6, 3, 3, 7, 8, 3]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(A_     )   ,				A_     )
