






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       __lowercase      (	unittest.TestCase  ):







     '''simple docstring'''




     @classmethod
     def 		lowerCAmelCase_     (				cls       :			int				):


         """simple docstring"""



         __A         =	TOKEN
         HfFolder.save_token(UpperCamelCase_				)




     @classmethod
     def 		lowerCAmelCase_     (				cls       :			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 		lowerCAmelCase_     (				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(UpperCamelCase_				)
         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(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				)

         __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(UpperCamelCase_ ,	1e-3 ,	msg=F"{key} not identical"				)





     def 		lowerCAmelCase_     (				self       :			List[str]				):


         """simple docstring"""



         __A         =	BertConfig(
             vocab_size=99 ,	hidden_size=32 ,	num_hidden_layers=5 ,	num_attention_heads=4 ,	intermediate_size=37				)
         __A         =	FlaxBertModel(UpperCamelCase_				)
         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(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				)

         __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(UpperCamelCase_ ,	1e-3 ,	msg=F"{key} not identical"				)



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			str    )						->      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       __lowercase      (	unittest.TestCase  ):







     '''simple docstring'''




     def 		lowerCAmelCase_     (				self       :			Union[str, Any]				):


         """simple docstring"""



         __A         =	BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""				)
         __A         =	FlaxBertModel(UpperCamelCase_				)

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

             with self.assertRaises(UpperCamelCase_				):
                 __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_				)

             __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_ ,	subfolder=UpperCamelCase_				)

         self.assertTrue(check_models_equal(UpperCamelCase_ ,	UpperCamelCase_				)				)




     def 		lowerCAmelCase_     (				self       :			Tuple				):


         """simple docstring"""



         __A         =	BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""				)
         __A         =	FlaxBertModel(UpperCamelCase_				)

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

             with self.assertRaises(UpperCamelCase_				):
                 __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_				)

             __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_ ,	subfolder=UpperCamelCase_				)

         self.assertTrue(check_models_equal(UpperCamelCase_ ,	UpperCamelCase_				)				)




     def 		lowerCAmelCase_     (				self       :			Optional[Any]				):


         """simple docstring"""



         __A         =	"""bert"""
         __A         =	"""hf-internal-testing/tiny-random-bert-subfolder"""

         with self.assertRaises(UpperCamelCase_				):
             __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_				)

         __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_ ,	subfolder=UpperCamelCase_				)

         self.assertIsNotNone(UpperCamelCase_				)





     def 		lowerCAmelCase_     (				self       :			Optional[int]				):


         """simple docstring"""



         __A         =	"""bert"""
         __A         =	"""hf-internal-testing/tiny-random-bert-sharded-subfolder"""
         with self.assertRaises(UpperCamelCase_				):
             __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_				)

         __A         =	FlaxBertModel.from_pretrained(UpperCamelCase_ ,	subfolder=UpperCamelCase_				)

         self.assertIsNotNone(UpperCamelCase_				)












from collections.abc import Sequence



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Sequence[float]			,				__lowercase   :			float    )						->      float:





    """simple docstring"""

    return sum(c * (x**i) for i, c in enumerate(__lowercase    )    )



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Sequence[float]			,				__lowercase   :			float    )						->      float:





    """simple docstring"""

    __A         =	0.0
    for coeff in reversed(__lowercase    ):
        __A         =	result * x + coeff
    return result


if __name__ == "__main__":
  __a      :       Dict				  =   (0.0, 0.0, 5.0, 9.3, 7.0)
  __a      :       Optional[Any]				  =   1_0.0
  print(evaluate_poly(poly, x))
  print(horner(poly, x))




