


"""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

		a__				:							Dict						=     '''0.12'''  # assumed parallelism: 8




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

	"""simple docstring"""





	@classmethod
	def   UpperCAmelCase_      ( cls			:				Optional[int]   )       ->	Tuple:
						__SCREAMING_SNAKE_CASE						   =				TOKEN
						HfFolder.save_token(UpperCAmelCase__   )




	@classmethod
	def   UpperCAmelCase_      ( cls			:				List[str]   )       ->	List[str]:
						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   UpperCAmelCase_      ( self			:				Union[str, Any]   )       ->	str:
						__SCREAMING_SNAKE_CASE						   =				BertConfig(
						    vocab_size=9_9			,			hidden_size=3_2			,			num_hidden_layers=5			,			num_attention_heads=4			,			intermediate_size=3_7   )
						__SCREAMING_SNAKE_CASE						   =				FlaxBertModel(UpperCAmelCase__   )
						model.push_to_hub("test-model-flax"			,			use_auth_token=self._token   )

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

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

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

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

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

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




	def   UpperCAmelCase_      ( self			:				int   )       ->	Any:
						__SCREAMING_SNAKE_CASE						   =				BertConfig(
						    vocab_size=9_9			,			hidden_size=3_2			,			num_hidden_layers=5			,			num_attention_heads=4			,			intermediate_size=3_7   )
						__SCREAMING_SNAKE_CASE						   =				FlaxBertModel(UpperCAmelCase__   )
						model.push_to_hub("valid_org/test-model-flax-org"			,			use_auth_token=self._token   )

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

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

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

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

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

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




def    UpperCAmelCase__       (lowerCAmelCase_  ,						lowerCAmelCase_   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				True
					__SCREAMING_SNAKE_CASE						   =				flatten_dict(modela.params   )
					__SCREAMING_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:
															__SCREAMING_SNAKE_CASE						   =				False

					return models_are_equal




@require_flax
class  UpperCamelCase_	( unittest.TestCase):

	"""simple docstring"""





	def   UpperCAmelCase_      ( self			:				List[Any]   )       ->	Optional[Any]:
						__SCREAMING_SNAKE_CASE						   =				BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"   )
						__SCREAMING_SNAKE_CASE						   =				FlaxBertModel(UpperCAmelCase__   )

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

											with self.assertRaises(UpperCAmelCase__   ):
																__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__   )

											__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__			,			subfolder=UpperCAmelCase__   )

						self.assertTrue(check_models_equal(UpperCAmelCase__			,			UpperCAmelCase__   )   )




	def   UpperCAmelCase_      ( self			:				int   )       ->	List[Any]:
						__SCREAMING_SNAKE_CASE						   =				BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"   )
						__SCREAMING_SNAKE_CASE						   =				FlaxBertModel(UpperCAmelCase__   )

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

											with self.assertRaises(UpperCAmelCase__   ):
																__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__   )

											__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__			,			subfolder=UpperCAmelCase__   )

						self.assertTrue(check_models_equal(UpperCAmelCase__			,			UpperCAmelCase__   )   )




	def   UpperCAmelCase_      ( self			:				List[Any]   )       ->	int:
						__SCREAMING_SNAKE_CASE						   =				"bert"
						__SCREAMING_SNAKE_CASE						   =				"hf-internal-testing/tiny-random-bert-subfolder"

						with self.assertRaises(UpperCAmelCase__   ):
											__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__   )

						__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__			,			subfolder=UpperCAmelCase__   )

						self.assertIsNotNone(UpperCAmelCase__   )




	def   UpperCAmelCase_      ( self			:				Tuple   )       ->	int:
						__SCREAMING_SNAKE_CASE						   =				"bert"
						__SCREAMING_SNAKE_CASE						   =				"hf-internal-testing/tiny-random-bert-sharded-subfolder"
						with self.assertRaises(UpperCAmelCase__   ):
											__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__   )

						__SCREAMING_SNAKE_CASE						   =				FlaxBertModel.from_pretrained(UpperCAmelCase__			,			subfolder=UpperCAmelCase__   )

						self.assertIsNotNone(UpperCAmelCase__   )




"""simple docstring"""







def    UpperCAmelCase__       (lowerCAmelCase_ = 100_0000   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				set(range(3  ,						lowerCAmelCase_  ,						2   )   )
					primes.add(2   )
					for p in range(3  ,						lowerCAmelCase_  ,						2   ):
										if p not in primes:
															continue
										primes.difference_update(set(range(p * p  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )   )   )

					__SCREAMING_SNAKE_CASE						   =				[float(lowerCAmelCase_   ) for n in range(limit + 1   )]

					for p in primes:
										for n in range(lowerCAmelCase_  ,						limit + 1  ,						lowerCAmelCase_   ):
															phi[n] *= 1 - 1 / p

					return int(sum(phi[2:]   )   )


if __name__ == "__main__":
		print(F"{solution() = }")
