






"""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

 _snake_case          =   '0.12'  # assumed parallelism: 8






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


 @classmethod
 def _lowercase	(     cls		:						List[Any]							)					->       Any:
   _a  :       Any             =	TOKEN
   HfFolder.save_token(lowercase_							)


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

   _a  :       Dict             =	FlaxBertModel.from_pretrained(f"""{USER}/test-model-flax"""							)

   _a  :       Any             =	flatten_dict(unfreeze(model.params							)							)
   _a  :       str             =	flatten_dict(unfreeze(new_model.params							)							)

   for key in base_params.keys():
     _a  :       Union[str, Any]             =	(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  :       Dict             =	FlaxBertModel.from_pretrained(f"""{USER}/test-model-flax"""							)

   _a  :       Optional[Any]             =	flatten_dict(unfreeze(model.params							)							)
   _a  :       Dict             =	flatten_dict(unfreeze(new_model.params							)							)

   for key in base_params.keys():
     _a  :       Union[str, Any]             =	(base_params[key] - new_params[key]).sum().item()
     self.assertLessEqual(lowercase_							,						1E-3							,						msg=f"""{key} not identical"""							)







 def _lowercase	(     self		:						int							)					->       Union[str, Any]:
   _a  :       Any             =	BertConfig(
       vocab_size=99							,						hidden_size=32							,						num_hidden_layers=5							,						num_attention_heads=4							,						intermediate_size=37							)
   _a  :       Tuple             =	FlaxBertModel(lowercase_							)
   model.push_to_hub("""valid_org/test-model-flax-org"""							,						use_auth_token=self._token							)

   _a  :       Union[str, Any]             =	FlaxBertModel.from_pretrained("""valid_org/test-model-flax-org"""							)

   _a  :       List[str]             =	flatten_dict(unfreeze(model.params							)							)
   _a  :       Any             =	flatten_dict(unfreeze(new_model.params							)							)

   for key in base_params.keys():
     _a  :       List[str]             =	(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  :       List[Any]             =	FlaxBertModel.from_pretrained("""valid_org/test-model-flax-org"""							)

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

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







def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__				):



  '''simple docstring'''
  _a  :       Optional[Any]             =	True
  _a  :       int             =	flatten_dict(modela.params				)
  _a  :       str             =	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  :       Optional[int]             =	False

  return models_are_equal






@require_flax
class        UpperCamelCase			(	unittest.TestCase      ):


 def _lowercase	(     self		:						Optional[int]							)					->       List[str]:
   _a  :       Any             =	BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""							)
   _a  :       Optional[Any]             =	FlaxBertModel(lowercase_							)

   _a  :       Any             =	"bert"
   with tempfile.TemporaryDirectory() as tmp_dir:
     model.save_pretrained(os.path.join(lowercase_							,						lowercase_							)							)

     with self.assertRaises(lowercase_							):
       _a  :       int             =	FlaxBertModel.from_pretrained(lowercase_							)

     _a  :       Union[str, Any]             =	FlaxBertModel.from_pretrained(lowercase_							,						subfolder=lowercase_							)

   self.assertTrue(check_models_equal(lowercase_							,						lowercase_							)							)


 def _lowercase	(     self		:						Optional[Any]							)					->       List[str]:
   _a  :       List[str]             =	BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""							)
   _a  :       str             =	FlaxBertModel(lowercase_							)

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

     with self.assertRaises(lowercase_							):
       _a  :       str             =	FlaxBertModel.from_pretrained(lowercase_							)

     _a  :       str             =	FlaxBertModel.from_pretrained(lowercase_							,						subfolder=lowercase_							)

   self.assertTrue(check_models_equal(lowercase_							,						lowercase_							)							)


 def _lowercase	(     self		:						Optional[int]							)					->       List[str]:
   _a  :       int             =	"bert"
   _a  :       Dict             =	"hf-internal-testing/tiny-random-bert-subfolder"

   with self.assertRaises(lowercase_							):
     _a  :       Union[str, Any]             =	FlaxBertModel.from_pretrained(lowercase_							)

   _a  :       Any             =	FlaxBertModel.from_pretrained(lowercase_							,						subfolder=lowercase_							)

   self.assertIsNotNone(lowercase_							)







 def _lowercase	(     self		:						int							)					->       Optional[int]:
   _a  :       str             =	"bert"
   _a  :       Optional[Any]             =	"hf-internal-testing/tiny-random-bert-sharded-subfolder"
   with self.assertRaises(lowercase_							):
     _a  :       Any             =	FlaxBertModel.from_pretrained(lowercase_							)

   _a  :       Optional[Any]             =	FlaxBertModel.from_pretrained(lowercase_							,						subfolder=lowercase_							)

   self.assertIsNotNone(lowercase_							)



"""simple docstring"""





from __future__ import annotations

import math







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					Any			     =    u
   for i in range(1,		__lowerCamelCase  ):
      UpperCAmelCase_					:					int			     =    temp * (u - i)
   return temp







def 	__a     (		):
   UpperCAmelCase_					:					str			     =    int(input("enter the numbers of values: "  )  )
   UpperCAmelCase_					:					list[list[float]]			     =    []
   for _ in range(__lowerCamelCase  ):
      y.append([]  )
   for i in range(__lowerCamelCase  ):
      for j in range(__lowerCamelCase  ):
         y[i].append(__lowerCamelCase  )
         UpperCAmelCase_					:					Tuple			     =    0

   print("enter the values of parameters in a list: "  )
   UpperCAmelCase_					:					Union[str, Any]			     =    list(map(__lowerCamelCase,		input().split()  )  )

   print("enter the values of corresponding parameters: "  )
   for i in range(__lowerCamelCase  ):
      UpperCAmelCase_					:					int			     =    float(input()  )

   UpperCAmelCase_					:					Tuple			     =    int(input("enter the value to interpolate: "  )  )
   UpperCAmelCase_					:					Tuple			     =    (value - x[0]) / (x[1] - x[0])

   # for calculating forward difference table

   for i in range(1,		__lowerCamelCase  ):
      for j in range(n - i  ):
         UpperCAmelCase_					:					Union[str, Any]			     =    y[j + 1][i - 1] - y[j][i - 1]

   UpperCAmelCase_					:					Optional[int]			     =    y[0][0]
   for i in range(1,		__lowerCamelCase  ):
      summ += (ucal(__lowerCamelCase,		__lowerCamelCase  ) * y[0][i]) / math.factorial(__lowerCamelCase  )

   print(f"""the value at {value} is {summ}"""  )


if __name__ == "__main__":
    main()


