
from __future__ import annotations

from cmath import sqrt


def     __lowerCAmelCase			(			a__						,    a__						,    a__  )       ->  tuple[complex, complex]:

				if a == 0:
								raise ValueError('''Coefficient \'a\' must not be zero.'''  )
				__a										=    b * b - 4 * a * c

				__a										=    (-b + sqrt(a__  )) / (2 * a)
				__a										=    (-b - sqrt(a__  )) / (2 * a)

				return (
				    root_a.real if not root_a.imag else root_a,
				    root_a.real if not root_a.imag else root_a,
				)


def     __lowerCAmelCase			(			)       ->  Tuple:
				__a							,     __a										=    quadratic_roots(a=5						,    b=6						,    c=1  )
				print(F"""The solutions are: {solutiona} and {solutiona}"""  )


if __name__ == "__main__":
					main()

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     :	int    = '0.12'  # assumed parallelism: 8







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




				@classmethod
				def 				SCREAMING_SNAKE_CASE_		(     cls				)    ->      Union[str, Any]:


								'''simple docstring'''




								__a										=    TOKEN
								HfFolder.save_token(_snake_case				)




				@classmethod
				def 				SCREAMING_SNAKE_CASE_		(     cls				)    ->      Union[str, 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 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Optional[Any]:


								'''simple docstring'''




								__a										=    BertConfig(
								    vocab_size=99		,     hidden_size=32		,     num_hidden_layers=5		,     num_attention_heads=4		,     intermediate_size=37				)
								__a										=    FlaxBertModel(_snake_case				)
								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(_snake_case		,     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(_snake_case		,     repo_id='''test-model-flax'''		,     push_to_hub=_snake_case		,     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(_snake_case		,     1E-3		,     msg=F"""{key} not identical"""				)




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Optional[int]:


								'''simple docstring'''




								__a										=    BertConfig(
								    vocab_size=99		,     hidden_size=32		,     num_hidden_layers=5		,     num_attention_heads=4		,     intermediate_size=37				)
								__a										=    FlaxBertModel(_snake_case				)
								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(_snake_case		,     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(
												    _snake_case		,     repo_id='''valid_org/test-model-flax-org'''		,     push_to_hub=_snake_case		,     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(_snake_case		,     1E-3		,     msg=F"""{key} not identical"""				)



def     __lowerCAmelCase			(			a__						,    a__  )       ->  str:
				__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 			__A( unittest.TestCase			):




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


								'''simple docstring'''




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

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

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

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

								self.assertTrue(check_models_equal(_snake_case		,     _snake_case				)				)




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Optional[Any]:


								'''simple docstring'''




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

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

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

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

								self.assertTrue(check_models_equal(_snake_case		,     _snake_case				)				)




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      int:


								'''simple docstring'''




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

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

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

								self.assertIsNotNone(_snake_case				)




				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Optional[int]:


								'''simple docstring'''




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

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

								self.assertIsNotNone(_snake_case				)