




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

	__lowerCamelCase   :						Tuple				=			'''0.12'''  # assumed parallelism: 8


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






			'''simple docstring'''





			@classmethod
			def 							UpperCAmelCase__       ( cls			:   List[str]  )						->   Dict:
								__magic_name__							:	Optional[int]    							=							TOKEN
								HfFolder.save_token(lowerCamelCase_  )

			@classmethod
			def 							UpperCAmelCase__       ( cls			:   Tuple  )						->   Optional[int]:
								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			:   List[Any]  )						->   Any:
								__magic_name__							:	Union[str, Any]    							=							BertConfig(
								    vocab_size=99       ,						hidden_size=32       ,						num_hidden_layers=5       ,						num_attention_heads=4       ,						intermediate_size=37  )
								__magic_name__							:	Optional[int]    							=							FlaxBertModel(lowerCamelCase_  )
								model.push_to_hub('''test-model-flax'''       ,						use_auth_token=self._token  )

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

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

								for key in base_params.keys():
													__magic_name__							:	Dict    							=							(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  )

								__magic_name__							:	Optional[int]    							=							FlaxBertModel.from_pretrained(F'''{USER}/test-model-flax'''  )

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

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


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

								__magic_name__							:	int    							=							FlaxBertModel.from_pretrained('''valid_org/test-model-flax-org'''  )

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

								for key in base_params.keys():
													__magic_name__							:	Dict    							=							(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  )

								__magic_name__							:	List[str]    							=							FlaxBertModel.from_pretrained('''valid_org/test-model-flax-org'''  )

								__magic_name__							:	Optional[Any]    							=							flatten_dict(unfreeze(model.params  )  )
								__magic_name__							:	Optional[int]    							=							flatten_dict(unfreeze(new_model.params  )  )

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







def 		lowercase__   (		__A:	Optional[int]							,__A:	Optional[int]				):





					'''simple docstring'''






					__magic_name__							:	Optional[int]    							=							True
					__magic_name__							:	str    							=							flatten_dict(modela.params				)
					__magic_name__							:	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:
															__magic_name__							:	List[Any]    							=							False

					return models_are_equal


@require_flax
class    lowerCamelCase    (		unittest.TestCase						):






			'''simple docstring'''





			def 							UpperCAmelCase__       ( self			:   Dict  )						->   Optional[Any]:
								__magic_name__							:	List[str]    							=							BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''  )
								__magic_name__							:	Optional[int]    							=							FlaxBertModel(lowerCamelCase_  )

								__magic_name__							:	Optional[Any]    							=							'''bert'''
								with tempfile.TemporaryDirectory() as tmp_dir:
													model.save_pretrained(os.path.join(lowerCamelCase_       ,						lowerCamelCase_  )  )

													with self.assertRaises(lowerCamelCase_  ):
																		__magic_name__							:	List[str]    							=							FlaxBertModel.from_pretrained(lowerCamelCase_  )

													__magic_name__							:	Optional[Any]    							=							FlaxBertModel.from_pretrained(lowerCamelCase_       ,						subfolder=lowerCamelCase_  )

								self.assertTrue(check_models_equal(lowerCamelCase_       ,						lowerCamelCase_  )  )

			def 							UpperCAmelCase__       ( self			:   Optional[Any]  )						->   Dict:
								__magic_name__							:	str    							=							BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''  )
								__magic_name__							:	Any    							=							FlaxBertModel(lowerCamelCase_  )

								__magic_name__							:	Optional[Any]    							=							'''bert'''
								with tempfile.TemporaryDirectory() as tmp_dir:
													model.save_pretrained(os.path.join(lowerCamelCase_       ,						lowerCamelCase_  )       ,						max_shard_size='''10KB'''  )

													with self.assertRaises(lowerCamelCase_  ):
																		__magic_name__							:	int    							=							FlaxBertModel.from_pretrained(lowerCamelCase_  )

													__magic_name__							:	Any    							=							FlaxBertModel.from_pretrained(lowerCamelCase_       ,						subfolder=lowerCamelCase_  )

								self.assertTrue(check_models_equal(lowerCamelCase_       ,						lowerCamelCase_  )  )

			def 							UpperCAmelCase__       ( self			:   Optional[Any]  )						->   Optional[Any]:
								__magic_name__							:	Any    							=							'''bert'''
								__magic_name__							:	str    							=							'''hf-internal-testing/tiny-random-bert-subfolder'''

								with self.assertRaises(lowerCamelCase_  ):
													__magic_name__							:	str    							=							FlaxBertModel.from_pretrained(lowerCamelCase_  )

								__magic_name__							:	Optional[Any]    							=							FlaxBertModel.from_pretrained(lowerCamelCase_       ,						subfolder=lowerCamelCase_  )

								self.assertIsNotNone(lowerCamelCase_  )


			def 							UpperCAmelCase__       ( self			:   List[Any]  )						->   Union[str, Any]:
								__magic_name__							:	Any    							=							'''bert'''
								__magic_name__							:	List[str]    							=							'''hf-internal-testing/tiny-random-bert-sharded-subfolder'''
								with self.assertRaises(lowerCamelCase_  ):
													__magic_name__							:	List[str]    							=							FlaxBertModel.from_pretrained(lowerCamelCase_  )

								__magic_name__							:	Dict    							=							FlaxBertModel.from_pretrained(lowerCamelCase_       ,						subfolder=lowerCamelCase_  )

								self.assertIsNotNone(lowerCamelCase_  )









import functools







def 		lowercase__   (		__A:	list[int]							,__A:	list[int]				):





					'''simple docstring'''






					if not isinstance(__A							,__A				) or not all(isinstance(__A							,__A				) for day in days				):
										raise ValueError('''The parameter days should be a list of integers'''				)

					if len(__A				) != 3 or not all(isinstance(__A							,__A				) for cost in costs				):
										raise ValueError('''The parameter costs should be a list of three integers'''				)

					if len(__A				) == 0:
										return 0

					if min(__A				) <= 0:
										raise ValueError('''All days elements should be greater than 0'''				)

					if max(__A				) >= 3_6_6:
										raise ValueError('''All days elements should be less than 366'''				)

					__magic_name__							:	Tuple    							=							set(__A				)

					@functools.cache
					def dynamic_programming(__A:	int				) -> int:
										if index > 3_6_5:
															return 0

										if index not in days_set:
															return dynamic_programming(index + 1				)

										return min(
										    costs[0] + dynamic_programming(index + 1				)							,costs[1] + dynamic_programming(index + 7				)							,costs[2] + dynamic_programming(index + 3_0				)							,)

					return dynamic_programming(1				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()



