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

  UpperCAmelCase_			    =							'''0.12'''  # assumed parallelism: 8




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





   """simple docstring"""




   @classmethod
   def   lowerCAmelCase						(	cls					:  Any							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= TOKEN
    HfFolder.save_token(_lowercase							)



   @classmethod
   def   lowerCAmelCase						(	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   lowerCAmelCase						(	self					:  int							):



    """simple docstring"""



    _UpperCamelCase:     int							= BertConfig(
        vocab_size=99		,  hidden_size=32		,  num_hidden_layers=5		,  num_attention_heads=4		,  intermediate_size=37							)
    _UpperCamelCase:     int							= FlaxBertModel(_lowercase							)
    model.push_to_hub('''test-model-flax'''		,  use_auth_token=self._token							)

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

    _UpperCamelCase:     Any							= flatten_dict(unfreeze(model.params							)							)
    _UpperCamelCase:     Dict							= flatten_dict(unfreeze(new_model.params							)							)

    for key in base_params.keys():
     _UpperCamelCase:     int							= (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							)

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

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

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



   def   lowerCAmelCase						(	self					:  List[str]							):



    """simple docstring"""



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

    _UpperCamelCase:     Any							= FlaxBertModel.from_pretrained('''valid_org/test-model-flax-org'''							)

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

    for key in base_params.keys():
     _UpperCamelCase:     Tuple							= (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							)

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

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

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




def       lowerCAmelCase_     (		lowercase:							Any  ,					lowercase:							Optional[int]		)    ->				Any:







 '''simple docstring'''
 _UpperCamelCase:     int							= True
 _UpperCamelCase:     Any							= flatten_dict(modela.params		)
 _UpperCamelCase:     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:
   _UpperCamelCase:     str							= False

 return models_are_equal





@require_flax
class  __magic_name__  (		unittest.TestCase    ):





   """simple docstring"""




   def   lowerCAmelCase						(	self					:  Dict							):



    """simple docstring"""



    _UpperCamelCase:     Union[str, Any]							= BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''							)
    _UpperCamelCase:     Optional[int]							= FlaxBertModel(_lowercase							)

    _UpperCamelCase:     Union[str, Any]							= '''bert'''
    with tempfile.TemporaryDirectory() as tmp_dir:
     model.save_pretrained(os.path.join(_lowercase		,  _lowercase							)							)

     with self.assertRaises(_lowercase							):
      _UpperCamelCase:     List[str]							= FlaxBertModel.from_pretrained(_lowercase							)

     _UpperCamelCase:     Any							= FlaxBertModel.from_pretrained(_lowercase		,  subfolder=_lowercase							)

    self.assertTrue(check_models_equal(_lowercase		,  _lowercase							)							)



   def   lowerCAmelCase						(	self					:  Tuple							):



    """simple docstring"""



    _UpperCamelCase:     int							= BertConfig.from_pretrained('''hf-internal-testing/tiny-bert-flax-only'''							)
    _UpperCamelCase:     Union[str, Any]							= FlaxBertModel(_lowercase							)

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

     with self.assertRaises(_lowercase							):
      _UpperCamelCase:     List[str]							= FlaxBertModel.from_pretrained(_lowercase							)

     _UpperCamelCase:     Union[str, Any]							= FlaxBertModel.from_pretrained(_lowercase		,  subfolder=_lowercase							)

    self.assertTrue(check_models_equal(_lowercase		,  _lowercase							)							)



   def   lowerCAmelCase						(	self					:  Any							):



    """simple docstring"""



    _UpperCamelCase:     List[Any]							= '''bert'''
    _UpperCamelCase:     List[str]							= '''hf-internal-testing/tiny-random-bert-subfolder'''

    with self.assertRaises(_lowercase							):
     _UpperCamelCase:     List[Any]							= FlaxBertModel.from_pretrained(_lowercase							)

    _UpperCamelCase:     Dict							= FlaxBertModel.from_pretrained(_lowercase		,  subfolder=_lowercase							)

    self.assertIsNotNone(_lowercase							)



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



    """simple docstring"""



    _UpperCamelCase:     str							= '''bert'''
    _UpperCamelCase:     Optional[Any]							= '''hf-internal-testing/tiny-random-bert-sharded-subfolder'''
    with self.assertRaises(_lowercase							):
     _UpperCamelCase:     Union[str, Any]							= FlaxBertModel.from_pretrained(_lowercase							)

    _UpperCamelCase:     str							= FlaxBertModel.from_pretrained(_lowercase		,  subfolder=_lowercase							)

    self.assertIsNotNone(_lowercase							)
from __future__ import annotations

UpperCAmelCase_			    =							1.6_0_2_1E-1_9  # units = C




def       lowerCAmelCase_     (		lowercase:							float  ,					lowercase:							float  ,					lowercase:							float  ,					)    ->				tuple[str, float]:







 '''simple docstring'''
 if (conductivity, electron_conc, mobility).count(0		) != 1:
  raise ValueError('''You cannot supply more or less than 2 values'''		)
 elif conductivity < 0:
  raise ValueError('''Conductivity cannot be negative'''		)
 elif electron_conc < 0:
  raise ValueError('''Electron concentration cannot be negative'''		)
 elif mobility < 0:
  raise ValueError('''mobility cannot be negative'''		)
 elif conductivity == 0:
  return (
      "conductivity",
      mobility * electron_conc * ELECTRON_CHARGE,
  )
 elif electron_conc == 0:
  return (
      "electron_conc",
      conductivity / (mobility * ELECTRON_CHARGE),
  )
 else:
  return (
      "mobility",
      conductivity / (electron_conc * ELECTRON_CHARGE),
  )


if __name__ == "__main__":
  import doctest

  doctest.testmod()