



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__			= """0.12"""  # assumed parallelism: 8






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





							@classmethod
							def 						UpperCamelCase_					(   cls		:		List[Any]	):

											'''simple docstring'''
											__a       =		TOKEN
											HfFolder.save_token(__lowercase	)





							@classmethod
							def 						UpperCamelCase_					(   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 						UpperCamelCase_					(   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("""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 						UpperCamelCase_					(   self		:		int	):

											'''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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			Optional[int]				,     _SCREAMING_SNAKE_CASE       :			Optional[Any]    ):
				"""simple docstring"""







				__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    SCREAMING_SNAKE_CASE			(							unittest.TestCase					):





							def 						UpperCamelCase_					(   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	)	)

															with self.assertRaises(__lowercase	):
																			__a       =		FlaxBertModel.from_pretrained(__lowercase	)

															__a       =		FlaxBertModel.from_pretrained(__lowercase      ,				subfolder=__lowercase	)

											self.assertTrue(check_models_equal(__lowercase      ,				__lowercase	)	)





							def 						UpperCamelCase_					(   self		:		int	):

											'''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 						UpperCamelCase_					(   self		:		Dict	):

											'''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 						UpperCamelCase_					(   self		:		Optional[Any]	):

											'''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	)





def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			list				,     _SCREAMING_SNAKE_CASE       :			list				,     _SCREAMING_SNAKE_CASE       :			int				,     _SCREAMING_SNAKE_CASE       :			int				,     _SCREAMING_SNAKE_CASE       :			int    ):
				"""simple docstring"""







				if index == number_of_items:
								return 0
				__a       =		0
				__a       =		0
				__a       =		knapsack(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     index + 1    )
				if weights[index] <= max_weight:
								__a       =		values[index] + knapsack(
								    _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE				,     max_weight - weights[index]				,     index + 1    )
				return max(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
