




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

   lowercase__				:      int	   = "0.12"  # assumed parallelism: 8




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







     @classmethod
     def       lowerCAmelCase_    (     cls			)  ->   Tuple:



          '''simple docstring'''



          a     =				TOKEN
          HfFolder.save_token(lowercase_			)







     @classmethod
     def       lowerCAmelCase_    (     cls			)  ->   str:



          '''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       lowerCAmelCase_    (     self			)  ->   Any:



          '''simple docstring'''



          a     =				BertConfig(
              vocab_size=99  ,		hidden_size=32  ,		num_hidden_layers=5  ,		num_attention_heads=4  ,		intermediate_size=37			)
          a     =				FlaxBertModel(lowercase_			)
          model.push_to_hub("test-model-flax"  ,		use_auth_token=self._token			)

          a     =				FlaxBertModel.from_pretrained(F'''{USER}/test-model-flax'''			)

          a     =				flatten_dict(unfreeze(model.params			)			)
          a     =				flatten_dict(unfreeze(new_model.params			)			)

          for key in base_params.keys():
               a     =				(base_params[key] - new_params[key]).sum().item()
               self.assertLessEqual(lowercase_  ,		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(lowercase_  ,		repo_id="test-model-flax"  ,		push_to_hub=lowercase_  ,		use_auth_token=self._token			)

          a     =				FlaxBertModel.from_pretrained(F'''{USER}/test-model-flax'''			)

          a     =				flatten_dict(unfreeze(model.params			)			)
          a     =				flatten_dict(unfreeze(new_model.params			)			)

          for key in base_params.keys():
               a     =				(base_params[key] - new_params[key]).sum().item()
               self.assertLessEqual(lowercase_  ,		1e-3  ,		msg=F'''{key} not identical'''			)







     def       lowerCAmelCase_    (     self			)  ->   Tuple:



          '''simple docstring'''



          a     =				BertConfig(
              vocab_size=99  ,		hidden_size=32  ,		num_hidden_layers=5  ,		num_attention_heads=4  ,		intermediate_size=37			)
          a     =				FlaxBertModel(lowercase_			)
          model.push_to_hub("valid_org/test-model-flax-org"  ,		use_auth_token=self._token			)

          a     =				FlaxBertModel.from_pretrained("valid_org/test-model-flax-org"			)

          a     =				flatten_dict(unfreeze(model.params			)			)
          a     =				flatten_dict(unfreeze(new_model.params			)			)

          for key in base_params.keys():
               a     =				(base_params[key] - new_params[key]).sum().item()
               self.assertLessEqual(lowercase_  ,		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(
                   lowercase_  ,		repo_id="valid_org/test-model-flax-org"  ,		push_to_hub=lowercase_  ,		use_auth_token=self._token			)

          a     =				FlaxBertModel.from_pretrained("valid_org/test-model-flax-org"			)

          a     =				flatten_dict(unfreeze(model.params			)			)
          a     =				flatten_dict(unfreeze(new_model.params			)			)

          for key in base_params.keys():
               a     =				(base_params[key] - new_params[key]).sum().item()
               self.assertLessEqual(lowercase_  ,		1e-3  ,		msg=F'''{key} not identical'''			)







def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase		, __UpperCamelCase)      ->					List[Any]:
     a     =				True
     a     =				flatten_dict(modela.params)
     a     =				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:
               a     =				False

     return models_are_equal





@require_flax
class       a__	( unittest.TestCase				):







     def       lowerCAmelCase_    (     self			)  ->   str:



          '''simple docstring'''



          a     =				BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"			)
          a     =				FlaxBertModel(lowercase_			)

          a     =				"bert"
          with tempfile.TemporaryDirectory() as tmp_dir:
               model.save_pretrained(os.path.join(lowercase_  ,		lowercase_			)			)

               with self.assertRaises(lowercase_			):
                    a     =				FlaxBertModel.from_pretrained(lowercase_			)

               a     =				FlaxBertModel.from_pretrained(lowercase_  ,		subfolder=lowercase_			)

          self.assertTrue(check_models_equal(lowercase_  ,		lowercase_			)			)







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



          '''simple docstring'''



          a     =				BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"			)
          a     =				FlaxBertModel(lowercase_			)

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

               with self.assertRaises(lowercase_			):
                    a     =				FlaxBertModel.from_pretrained(lowercase_			)

               a     =				FlaxBertModel.from_pretrained(lowercase_  ,		subfolder=lowercase_			)

          self.assertTrue(check_models_equal(lowercase_  ,		lowercase_			)			)







     def       lowerCAmelCase_    (     self			)  ->   int:



          '''simple docstring'''



          a     =				"bert"
          a     =				"hf-internal-testing/tiny-random-bert-subfolder"

          with self.assertRaises(lowercase_			):
               a     =				FlaxBertModel.from_pretrained(lowercase_			)

          a     =				FlaxBertModel.from_pretrained(lowercase_  ,		subfolder=lowercase_			)

          self.assertIsNotNone(lowercase_			)







     def       lowerCAmelCase_    (     self			)  ->   List[str]:



          '''simple docstring'''



          a     =				"bert"
          a     =				"hf-internal-testing/tiny-random-bert-sharded-subfolder"
          with self.assertRaises(lowercase_			):
               a     =				FlaxBertModel.from_pretrained(lowercase_			)

          a     =				FlaxBertModel.from_pretrained(lowercase_  ,		subfolder=lowercase_			)

          self.assertIsNotNone(lowercase_			)











import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_rjieba
@require_tokenizers
class       a__	( UpperCamelCase__       , unittest.TestCase				):
     a		:      List[Any]		 =     RoFormerTokenizer
     a		:      Tuple		 =     RoFormerTokenizerFast
     a		:      Dict		 =     True
     a		:      Optional[Any]		 =     True







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



          '''simple docstring'''



          super().setUp()







     def       lowerCAmelCase_    (     self  ,		**A			)  ->   Tuple:



          '''simple docstring'''



          return self.tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"  ,		**A			)







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



          '''simple docstring'''



          return self.rust_tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"  ,		**A			)







     def       lowerCAmelCase_    (     self			)  ->   Tuple:



          '''simple docstring'''



          a     =				"永和服装饰品有限公司,今天天气非常好"
          a     =				"永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"
          return input_text, output_text







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



          '''simple docstring'''



          a     =				self.get_tokenizer()
          a  ,				a     =				self.get_chinese_input_output_texts()
          a     =				tokenizer.tokenize(A			)

          self.assertListEqual(A  ,		output_text.split()			)

          a     =				tokens + [tokenizer.unk_token]
          a     =				[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(A			)  ,		A			)







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



          '''simple docstring'''



          a     =				self.get_rust_tokenizer()
          a  ,				a     =				self.get_chinese_input_output_texts()
          a     =				tokenizer.tokenize(A			)
          self.assertListEqual(A  ,		output_text.split()			)
          a     =				tokens + [tokenizer.unk_token]
          a     =				[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(A			)  ,		A			)







     def       lowerCAmelCase_    (     self			)  ->   Any:



          '''simple docstring'''



          pass







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



          '''simple docstring'''



          pass







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



          '''simple docstring'''



          pass

