




"""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

					lowerCAmelCase							:    List[Any]  							=							"""0.12"""  # assumed parallelism: 8






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






				'''simple docstring'''





				@classmethod
				def      _lowerCAmelCase       ( cls				):





							"""simple docstring"""
							lowerCamelCase       =      TOKEN
							HfFolder.save_token(_a				)





				@classmethod
				def      _lowerCAmelCase       ( cls				):





							"""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				):





							"""simple docstring"""
							lowerCamelCase       =      BertConfig(
							    vocab_size=99	,				hidden_size=32	,				num_hidden_layers=5	,				num_attention_heads=4	,				intermediate_size=37				)
							lowerCamelCase       =      FlaxBertModel(_a				)
							model.push_to_hub("""test-model-flax"""	,				use_auth_token=self._token				)

							lowerCamelCase       =      FlaxBertModel.from_pretrained(f'{USER}/test-model-flax'				)

							lowerCamelCase       =      flatten_dict(unfreeze(model.params				)				)
							lowerCamelCase       =      flatten_dict(unfreeze(new_model.params				)				)

							for key in base_params.keys():
										lowerCamelCase       =      (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				)

							lowerCamelCase       =      FlaxBertModel.from_pretrained(f'{USER}/test-model-flax'				)

							lowerCamelCase       =      flatten_dict(unfreeze(model.params				)				)
							lowerCamelCase       =      flatten_dict(unfreeze(new_model.params				)				)

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





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      BertConfig(
							    vocab_size=99	,				hidden_size=32	,				num_hidden_layers=5	,				num_attention_heads=4	,				intermediate_size=37				)
							lowerCamelCase       =      FlaxBertModel(_a				)
							model.push_to_hub("""valid_org/test-model-flax-org"""	,				use_auth_token=self._token				)

							lowerCamelCase       =      FlaxBertModel.from_pretrained("""valid_org/test-model-flax-org"""				)

							lowerCamelCase       =      flatten_dict(unfreeze(model.params				)				)
							lowerCamelCase       =      flatten_dict(unfreeze(new_model.params				)				)

							for key in base_params.keys():
										lowerCamelCase       =      (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				)

							lowerCamelCase       =      FlaxBertModel.from_pretrained("""valid_org/test-model-flax-org"""				)

							lowerCamelCase       =      flatten_dict(unfreeze(model.params				)				)
							lowerCamelCase       =      flatten_dict(unfreeze(new_model.params				)				)

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




def 					a__				(       snake_case__ ,				snake_case__       )		->      Tuple:
			lowerCamelCase       =      True
			lowerCamelCase       =      flatten_dict(modela.params       )
			lowerCamelCase       =      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:
									lowerCamelCase       =      False

			return models_are_equal






@require_flax
class 					__magic_name__							( unittest.TestCase       ):






				'''simple docstring'''





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""				)
							lowerCamelCase       =      FlaxBertModel(_a				)

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

										with self.assertRaises(_a				):
													lowerCamelCase       =      FlaxBertModel.from_pretrained(_a				)

										lowerCamelCase       =      FlaxBertModel.from_pretrained(_a	,				subfolder=_a				)

							self.assertTrue(check_models_equal(_a	,				_a				)				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""				)
							lowerCamelCase       =      FlaxBertModel(_a				)

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

										with self.assertRaises(_a				):
													lowerCamelCase       =      FlaxBertModel.from_pretrained(_a				)

										lowerCamelCase       =      FlaxBertModel.from_pretrained(_a	,				subfolder=_a				)

							self.assertTrue(check_models_equal(_a	,				_a				)				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      """bert"""
							lowerCamelCase       =      """hf-internal-testing/tiny-random-bert-subfolder"""

							with self.assertRaises(_a				):
										lowerCamelCase       =      FlaxBertModel.from_pretrained(_a				)

							lowerCamelCase       =      FlaxBertModel.from_pretrained(_a	,				subfolder=_a				)

							self.assertIsNotNone(_a				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      """bert"""
							lowerCamelCase       =      """hf-internal-testing/tiny-random-bert-sharded-subfolder"""
							with self.assertRaises(_a				):
										lowerCamelCase       =      FlaxBertModel.from_pretrained(_a				)

							lowerCamelCase       =      FlaxBertModel.from_pretrained(_a	,				subfolder=_a				)

							self.assertIsNotNone(_a				)









"""simple docstring"""




# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.



def 					a__				(       snake_case__       )		->      Dict:
			lowerCamelCase       =      [False] * len(snake_case__       )
			lowerCamelCase       =      [-1] * len(snake_case__       )

			def dfs(snake_case__ ,				snake_case__       ):
						lowerCamelCase       =      True
						lowerCamelCase       =      c
						for u in graph[v]:
									if not visited[u]:
												dfs(snake_case__ ,				1 - c       )

			for i in range(len(snake_case__       )       ):
						if not visited[i]:
									dfs(snake_case__ ,				0       )

			for i in range(len(snake_case__       )       ):
						for j in graph[i]:
									if color[i] == color[j]:
												return False

			return True


# Adjacency list of graph
lowerCAmelCase							:    str  							=							{0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}


print(check_bipartite_dfs(graph))



