





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

					UpperCAmelCase_      							=     """0.12"""  # assumed parallelism: 8
@require_flax
@is_staging_test
class 			UpperCamelCase_		(  unittest.TestCase					):




					@classmethod
					def 	lowerCAmelCase			(		cls  )		->							List[str]:
										_snake_case									=				TOKEN
										HfFolder.save_token(lowerCAmelCase_  )




					@classmethod
					def 	lowerCAmelCase			(		cls  )		->							Dict:
										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  )		->							Union[str, Any]:
										_snake_case									=				BertConfig(
										    vocab_size=99				,						hidden_size=32				,						num_hidden_layers=5				,						num_attention_heads=4				,						intermediate_size=37  )
										_snake_case									=				FlaxBertModel(lowerCAmelCase_  )
										model.push_to_hub('test-model-flax'				,						use_auth_token=self._token  )

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

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

										for key in base_params.keys():
															_snake_case									=				(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  )

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

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

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






					def 	lowerCAmelCase			(		self  )		->							List[Any]:
										_snake_case									=				BertConfig(
										    vocab_size=99				,						hidden_size=32				,						num_hidden_layers=5				,						num_attention_heads=4				,						intermediate_size=37  )
										_snake_case									=				FlaxBertModel(lowerCAmelCase_  )
										model.push_to_hub('valid_org/test-model-flax-org'				,						use_auth_token=self._token  )

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

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

										for key in base_params.keys():
															_snake_case									=				(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  )

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

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

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





def 						lowerCamelCase__     (     UpperCamelCase__			:       Optional[int]       ,    UpperCamelCase__			:       Tuple						)			-> int:



					'''simple docstring'''




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

					return models_are_equal




@require_flax
class 			UpperCamelCase_		(  unittest.TestCase					):




					def 	lowerCAmelCase			(		self  )		->							str:
										_snake_case									=				BertConfig.from_pretrained('hf-internal-testing/tiny-bert-flax-only'  )
										_snake_case									=				FlaxBertModel(lowerCAmelCase_  )

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

															with self.assertRaises(lowerCAmelCase_  ):
																				_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_  )

															_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_				,						subfolder=lowerCAmelCase_  )

										self.assertTrue(check_models_equal(lowerCAmelCase_				,						lowerCAmelCase_  )  )




					def 	lowerCAmelCase			(		self  )		->							List[Any]:
										_snake_case									=				BertConfig.from_pretrained('hf-internal-testing/tiny-bert-flax-only'  )
										_snake_case									=				FlaxBertModel(lowerCAmelCase_  )

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

															with self.assertRaises(lowerCAmelCase_  ):
																				_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_  )

															_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_				,						subfolder=lowerCAmelCase_  )

										self.assertTrue(check_models_equal(lowerCAmelCase_				,						lowerCAmelCase_  )  )




					def 	lowerCAmelCase			(		self  )		->							Dict:
										_snake_case									=				'bert'
										_snake_case									=				'hf-internal-testing/tiny-random-bert-subfolder'

										with self.assertRaises(lowerCAmelCase_  ):
															_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_  )

										_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_				,						subfolder=lowerCAmelCase_  )

										self.assertIsNotNone(lowerCAmelCase_  )






					def 	lowerCAmelCase			(		self  )		->							Optional[int]:
										_snake_case									=				'bert'
										_snake_case									=				'hf-internal-testing/tiny-random-bert-sharded-subfolder'
										with self.assertRaises(lowerCAmelCase_  ):
															_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_  )

										_snake_case									=				FlaxBertModel.from_pretrained(lowerCAmelCase_				,						subfolder=lowerCAmelCase_  )

										self.assertIsNotNone(lowerCAmelCase_  )










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_      							=     {
    """configuration_bigbird_pegasus""": [
        """BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BigBirdPegasusConfig""",
        """BigBirdPegasusOnnxConfig""",
    ],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase_      							=     [
					    """BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """BigBirdPegasusForCausalLM""",
					    """BigBirdPegasusForConditionalGeneration""",
					    """BigBirdPegasusForQuestionAnswering""",
					    """BigBirdPegasusForSequenceClassification""",
					    """BigBirdPegasusModel""",
					    """BigBirdPegasusPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_bigbird_pegasus import (
					    BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    BigBirdPegasusConfig,
					    BigBirdPegasusOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_bigbird_pegasus import (
										    BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BigBirdPegasusForCausalLM,
										    BigBirdPegasusForConditionalGeneration,
										    BigBirdPegasusForQuestionAnswering,
										    BigBirdPegasusForSequenceClassification,
										    BigBirdPegasusModel,
										    BigBirdPegasusPreTrainedModel,
										)


else:
					import sys

					UpperCAmelCase_      							=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



