
"""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

		UpperCamelCase_       :    Optional[int]						      =			"""0.12"""  # assumed parallelism: 8



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




			"""simple docstring"""







			@classmethod
			def   lowerCamelCase__  (					cls    :       int						)   ->			Optional[int]:







								"""simple docstring"""
								A_								=    TOKEN
								HfFolder.save_token(snake_case__						)




			@classmethod
			def   lowerCamelCase__  (					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   lowerCamelCase__  (					self    :       Any						)   ->			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   lowerCamelCase__  (					self    :       List[str]						)   ->			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 				A_  (__a					, __a					):

					'''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 __lowerCAmelCase					(       unittest.TestCase   ):




			"""simple docstring"""







			def   lowerCamelCase__  (					self    :       int						)   ->			int:







								"""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   lowerCamelCase__  (					self    :       Any						)   ->			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   lowerCamelCase__  (					self    :       Optional[int]						)   ->			Optional[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   lowerCamelCase__  (					self    :       Any						)   ->			List[str]:







								"""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__						)








'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
class 						UpperCamelCase__       :



     """simple docstring"""






     def __init__(			self   ,						snake_case__ ):

            '''simple docstring'''

            _lowerCAmelCase     :				List[Any]       =							value
            _lowerCAmelCase     :				Node | None       =							None
            _lowerCAmelCase     :				Node | None       =							None
class 						UpperCamelCase__       :



     """simple docstring"""






     def __init__(			self   ,						snake_case__ ):

            '''simple docstring'''

            _lowerCAmelCase     :				List[Any]       =							tree







     def a						(			self   ,						snake_case__ ):

            '''simple docstring'''

            if node is None:
                   return 0
            return node.value + (
                self.depth_first_search(node.left ) + self.depth_first_search(node.right )
            )







     def __iter__(			self ):

            '''simple docstring'''

            yield self.depth_first_search(self.tree )


if __name__ == "__main__":
       import doctest

       doctest.testmod()

