

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_						     =    '0.12'  # assumed parallelism: 8






@require_flax
@is_staging_test
class _UpperCamelCase							(							unittest.TestCase   ):
			'''simple docstring'''







			@classmethod
			def 							__UpperCamelCase (			cls							: Any	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       TOKEN
				HfFolder.save_token(a	)
			@classmethod
			def 							__UpperCamelCase (			cls							: Optional[int]	)							->       Dict:

				"""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							: List[str]	)							->       List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      int				     =       BertConfig(
				    vocab_size=99      ,      hidden_size=32      ,      num_hidden_layers=5      ,      num_attention_heads=4      ,      intermediate_size=37	)
				SCREAMING_SNAKE_CASE   :      Tuple				     =       FlaxBertModel(a	)
				model.push_to_hub("test-model-flax"      ,      use_auth_token=self._token	)

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       FlaxBertModel.from_pretrained(F"{USER}/test-model-flax"	)

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       flatten_dict(unfreeze(model.params	)	)
				SCREAMING_SNAKE_CASE   :      Tuple				     =       flatten_dict(unfreeze(new_model.params	)	)

				for key in base_params.keys():
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       (base_params[key] - new_params[key]).sum().item()
					self.assertLessEqual(a      ,      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(a      ,      repo_id="test-model-flax"      ,      push_to_hub=a      ,      use_auth_token=self._token	)

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

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       flatten_dict(unfreeze(model.params	)	)
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       flatten_dict(unfreeze(new_model.params	)	)

				for key in base_params.keys():
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       (base_params[key] - new_params[key]).sum().item()
					self.assertLessEqual(a      ,      1e-3      ,      msg=F"{key} not identical"	)






			def 							__UpperCamelCase (			self							: int	)							->       Dict:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      List[str]				     =       BertConfig(
				    vocab_size=99      ,      hidden_size=32      ,      num_hidden_layers=5      ,      num_attention_heads=4      ,      intermediate_size=37	)
				SCREAMING_SNAKE_CASE   :      Tuple				     =       FlaxBertModel(a	)
				model.push_to_hub("valid_org/test-model-flax-org"      ,      use_auth_token=self._token	)

				SCREAMING_SNAKE_CASE   :      Any				     =       FlaxBertModel.from_pretrained("valid_org/test-model-flax-org"	)

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       flatten_dict(unfreeze(model.params	)	)
				SCREAMING_SNAKE_CASE   :      List[str]				     =       flatten_dict(unfreeze(new_model.params	)	)

				for key in base_params.keys():
					SCREAMING_SNAKE_CASE   :      Optional[int]				     =       (base_params[key] - new_params[key]).sum().item()
					self.assertLessEqual(a      ,      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(
					    a      ,      repo_id="valid_org/test-model-flax-org"      ,      push_to_hub=a      ,      use_auth_token=self._token	)

				SCREAMING_SNAKE_CASE   :      List[str]				     =       FlaxBertModel.from_pretrained("valid_org/test-model-flax-org"	)

				SCREAMING_SNAKE_CASE   :      Any				     =       flatten_dict(unfreeze(model.params	)	)
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       flatten_dict(unfreeze(new_model.params	)	)

				for key in base_params.keys():
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       (base_params[key] - new_params[key]).sum().item()
					self.assertLessEqual(a      ,      1e-3      ,      msg=F"{key} not identical"	)

def  lowerCamelCase__ (					_a							,			_a):
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       True
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       flatten_dict(modela.params)
	SCREAMING_SNAKE_CASE   :      Tuple				     =       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:
			SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       False

	return models_are_equal






@require_flax
class _UpperCamelCase							(							unittest.TestCase   ):
			'''simple docstring'''







			def 							__UpperCamelCase (			self							: Any	)							->       str:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      int				     =       BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"	)
				SCREAMING_SNAKE_CASE   :      List[str]				     =       FlaxBertModel(a	)

				SCREAMING_SNAKE_CASE   :      Dict				     =       "bert"
				with tempfile.TemporaryDirectory() as tmp_dir:
					model.save_pretrained(os.path.join(a      ,      a	)	)

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

					SCREAMING_SNAKE_CASE   :      List[str]				     =       FlaxBertModel.from_pretrained(a      ,      subfolder=a	)

				self.assertTrue(check_models_equal(a      ,      a	)	)
			def 							__UpperCamelCase (			self							: Optional[Any]	)							->       Optional[int]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      str				     =       BertConfig.from_pretrained("hf-internal-testing/tiny-bert-flax-only"	)
				SCREAMING_SNAKE_CASE   :      Tuple				     =       FlaxBertModel(a	)

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       "bert"
				with tempfile.TemporaryDirectory() as tmp_dir:
					model.save_pretrained(os.path.join(a      ,      a	)      ,      max_shard_size="10KB"	)

					with self.assertRaises(a	):
						SCREAMING_SNAKE_CASE   :      Tuple				     =       FlaxBertModel.from_pretrained(a	)

					SCREAMING_SNAKE_CASE   :      List[Any]				     =       FlaxBertModel.from_pretrained(a      ,      subfolder=a	)

				self.assertTrue(check_models_equal(a      ,      a	)	)
			def 							__UpperCamelCase (			self							: Any	)							->       int:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      List[str]				     =       "bert"
				SCREAMING_SNAKE_CASE   :      int				     =       "hf-internal-testing/tiny-random-bert-subfolder"

				with self.assertRaises(a	):
					SCREAMING_SNAKE_CASE   :      List[str]				     =       FlaxBertModel.from_pretrained(a	)

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       FlaxBertModel.from_pretrained(a      ,      subfolder=a	)

				self.assertIsNotNone(a	)






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

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       "bert"
				SCREAMING_SNAKE_CASE   :      int				     =       "hf-internal-testing/tiny-random-bert-sharded-subfolder"
				with self.assertRaises(a	):
					SCREAMING_SNAKE_CASE   :      Tuple				     =       FlaxBertModel.from_pretrained(a	)

				SCREAMING_SNAKE_CASE   :      List[str]				     =       FlaxBertModel.from_pretrained(a      ,      subfolder=a	)

				self.assertIsNotNone(a	)


import math

def  lowerCamelCase__ (					_a							,			_a):
	if (
	    not isinstance(_a							,			(int, float))
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError("power_factor must be a valid float value between -1 and 1.")
	return apparent_power * power_factor

def  lowerCamelCase__ (					_a							,			_a):
	if (
	    not isinstance(_a							,			(int, float))
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError("power_factor must be a valid float value between -1 and 1.")
	return apparent_power * math.sqrt(1 - power_factor**2)


if __name__ == "__main__":
			import doctest

			doctest.testmod()