





'''simple docstring'''

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__		:     Dict			=							'0.12'  # assumed parallelism: 8
@require_flax
@is_staging_test
class 							__lowerCAmelCase	(       unittest.TestCase					):






       """simple docstring"""





       @classmethod
       def snake_case__		(				cls  :						List[Any]	)       ->	List[Any]:

            '''simple docstring'''




            _UpperCamelCase							       =			TOKEN
            HfFolder.save_token(lowerCAmelCase__	)





       @classmethod
       def snake_case__		(				cls  :						str	)       ->	List[Any]:

            '''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 snake_case__		(				self  :						Dict	)       ->	int:

            '''simple docstring'''




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

            _UpperCamelCase							       =			FlaxBertModel.from_pretrained(f"""{USER}/test-model-flax"""	)

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

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

            _UpperCamelCase							       =			FlaxBertModel.from_pretrained(f"""{USER}/test-model-flax"""	)

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

            for key in base_params.keys():
                 _UpperCamelCase							       =			(base_params[key] - new_params[key]).sum().item()
                 self.assertLessEqual(lowerCAmelCase__			,					1e-3			,					msg=f"""{key} not identical"""	)







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

            '''simple docstring'''




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

            _UpperCamelCase							       =			FlaxBertModel.from_pretrained('''valid_org/test-model-flax-org'''	)

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

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

            _UpperCamelCase							       =			FlaxBertModel.from_pretrained('''valid_org/test-model-flax-org'''	)

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

            for key in base_params.keys():
                 _UpperCamelCase							       =			(base_params[key] - new_params[key]).sum().item()
                 self.assertLessEqual(lowerCAmelCase__			,					1e-3			,					msg=f"""{key} not identical"""	)







def    a__							(							lowercase   :	Dict,   lowercase   :	Union[str, Any] )						->						List[str]:





     """simple docstring"""

     _UpperCamelCase							       =			True
     _UpperCamelCase							       =			flatten_dict(modela.params )
     _UpperCamelCase							       =			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:
               _UpperCamelCase							       =			False

     return models_are_equal




@require_flax
class 							__lowerCAmelCase	(       unittest.TestCase					):






       """simple docstring"""





       def snake_case__		(				self  :						Any	)       ->	Tuple:

            '''simple docstring'''




            _UpperCamelCase							       =			BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''	)
            _UpperCamelCase							       =			FlaxBertModel(lowerCAmelCase__	)

            _UpperCamelCase							       =			'''bert'''
            with tempfile.TemporaryDirectory() as tmp_dir:
                 model.save_pretrained(os.path.join(lowerCAmelCase__			,					lowerCAmelCase__	)	)

                 with self.assertRaises(lowerCAmelCase__	):
                      _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__	)

                 _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__			,					subfolder=lowerCAmelCase__	)

            self.assertTrue(check_models_equal(lowerCAmelCase__			,					lowerCAmelCase__	)	)





       def snake_case__		(				self  :						Any	)       ->	int:

            '''simple docstring'''




            _UpperCamelCase							       =			BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''	)
            _UpperCamelCase							       =			FlaxBertModel(lowerCAmelCase__	)

            _UpperCamelCase							       =			'''bert'''
            with tempfile.TemporaryDirectory() as tmp_dir:
                 model.save_pretrained(os.path.join(lowerCAmelCase__			,					lowerCAmelCase__	)			,					max_shard_size='''10KB'''	)

                 with self.assertRaises(lowerCAmelCase__	):
                      _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__	)

                 _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__			,					subfolder=lowerCAmelCase__	)

            self.assertTrue(check_models_equal(lowerCAmelCase__			,					lowerCAmelCase__	)	)





       def snake_case__		(				self  :						Optional[int]	)       ->	Tuple:

            '''simple docstring'''




            _UpperCamelCase							       =			'''bert'''
            _UpperCamelCase							       =			'''hf-internal-testing/tiny-random-bert-subfolder'''

            with self.assertRaises(lowerCAmelCase__	):
                 _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__	)

            _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__			,					subfolder=lowerCAmelCase__	)

            self.assertIsNotNone(lowerCAmelCase__	)







       def snake_case__		(				self  :						List[Any]	)       ->	int:

            '''simple docstring'''




            _UpperCamelCase							       =			'''bert'''
            _UpperCamelCase							       =			'''hf-internal-testing/tiny-random-bert-sharded-subfolder'''
            with self.assertRaises(lowerCAmelCase__	):
                 _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__	)

            _UpperCamelCase							       =			FlaxBertModel.from_pretrained(lowerCAmelCase__			,					subfolder=lowerCAmelCase__	)

            self.assertIsNotNone(lowerCAmelCase__	)







from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader
class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					def __init__(					self			,							snake_case_			,							snake_case_ = None			,							snake_case_ = None			,							snake_case_ = None			,							snake_case_ = False			,							snake_case_ = False			,							snake_case_ = None			,							**snake_case_			,							) ->      Dict:







								'''simple docstring'''

								super().__init__(
								    snake_case_			,							split=snake_case_			,							features=snake_case_			,							cache_dir=snake_case_			,							keep_in_memory=snake_case_			,							streaming=snake_case_			,							num_proc=snake_case_			,							**snake_case_			,							)
								__lowercase			       = path_or_paths if isinstance(snake_case_			,							snake_case_    ) else {self.split: path_or_paths}
								__lowercase			       = Text(
								    cache_dir=snake_case_			,							data_files=snake_case_			,							features=snake_case_			,							**snake_case_			,							)






					def A   (					self    ) ->      int:







								'''simple docstring'''

								if self.streaming:
											__lowercase			       = self.builder.as_streaming_dataset(split=self.split    )
								# Build regular (map-style) dataset
								else:
											__lowercase			       = None
											__lowercase			       = None
											__lowercase			       = None
											__lowercase			       = None

											self.builder.download_and_prepare(
											    download_config=snake_case_			,							download_mode=snake_case_			,							verification_mode=snake_case_			,							base_path=snake_case_			,							num_proc=self.num_proc			,							)
											__lowercase			       = self.builder.as_dataset(
											    split=self.split			,							verification_mode=snake_case_			,							in_memory=self.keep_in_memory    )
								return dataset


