






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_ :						Any      =      '''0.12'''  # assumed parallelism: 8

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





	@classmethod
	def 						_A (		cls				:					str	):
		UpperCamelCase     :Optional[int]          =	TOKEN
		HfFolder.save_token(__lowerCamelCase	)





	@classmethod
	def 						_A (		cls				:					Tuple	):
		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 						_A (		self				:					List[Any]	):
		UpperCamelCase     :Dict          =	BertConfig(
		    vocab_size=99 ,  hidden_size=32 ,  num_hidden_layers=5 ,  num_attention_heads=4 ,  intermediate_size=37	)
		UpperCamelCase     :List[str]          =	FlaxBertModel(__lowerCamelCase	)
		model.push_to_hub("""test-model-flax""" ,  use_auth_token=self._token	)

		UpperCamelCase     :List[str]          =	FlaxBertModel.from_pretrained(F"""{USER}/test-model-flax"""	)

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

		for key in base_params.keys():
			UpperCamelCase     :Dict          =	(base_params[key] - new_params[key]).sum().item()
			self.assertLessEqual(__lowerCamelCase ,  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(__lowerCamelCase ,  repo_id="""test-model-flax""" ,  push_to_hub=__lowerCamelCase ,  use_auth_token=self._token	)

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

		UpperCamelCase     :int          =	flatten_dict(unfreeze(model.params	)	)
		UpperCamelCase     :Tuple          =	flatten_dict(unfreeze(new_model.params	)	)

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





	def 						_A (		self				:					int	):
		UpperCamelCase     :Optional[int]          =	BertConfig(
		    vocab_size=99 ,  hidden_size=32 ,  num_hidden_layers=5 ,  num_attention_heads=4 ,  intermediate_size=37	)
		UpperCamelCase     :Any          =	FlaxBertModel(__lowerCamelCase	)
		model.push_to_hub("""valid_org/test-model-flax-org""" ,  use_auth_token=self._token	)

		UpperCamelCase     :Optional[Any]          =	FlaxBertModel.from_pretrained("""valid_org/test-model-flax-org"""	)

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

		for key in base_params.keys():
			UpperCamelCase     :List[str]          =	(base_params[key] - new_params[key]).sum().item()
			self.assertLessEqual(__lowerCamelCase ,  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(
			    __lowerCamelCase ,  repo_id="""valid_org/test-model-flax-org""" ,  push_to_hub=__lowerCamelCase ,  use_auth_token=self._token	)

		UpperCamelCase     :int          =	FlaxBertModel.from_pretrained("""valid_org/test-model-flax-org"""	)

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

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

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Tuple	,			__magic_name__					:  Any					)		->			Tuple:






	"""simple docstring"""



	UpperCamelCase     :Optional[int]          =	True
	UpperCamelCase     :str          =	flatten_dict(modela.params					)
	UpperCamelCase     :Optional[int]          =	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     :Any          =	False

	return models_are_equal

@require_flax
class     _SCREAMING_SNAKE_CASE       (			unittest.TestCase      ):





	def 						_A (		self				:					Dict	):
		UpperCamelCase     :Optional[Any]          =	BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""	)
		UpperCamelCase     :Union[str, Any]          =	FlaxBertModel(__lowerCamelCase	)

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

			with self.assertRaises(__lowerCamelCase	):
				UpperCamelCase     :str          =	FlaxBertModel.from_pretrained(__lowerCamelCase	)

			UpperCamelCase     :Any          =	FlaxBertModel.from_pretrained(__lowerCamelCase ,  subfolder=__lowerCamelCase	)

		self.assertTrue(check_models_equal(__lowerCamelCase ,  __lowerCamelCase	)	)





	def 						_A (		self				:					Dict	):
		UpperCamelCase     :int          =	BertConfig.from_pretrained("""hf-internal-testing/tiny-bert-flax-only"""	)
		UpperCamelCase     :List[Any]          =	FlaxBertModel(__lowerCamelCase	)

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

			with self.assertRaises(__lowerCamelCase	):
				UpperCamelCase     :List[str]          =	FlaxBertModel.from_pretrained(__lowerCamelCase	)

			UpperCamelCase     :str          =	FlaxBertModel.from_pretrained(__lowerCamelCase ,  subfolder=__lowerCamelCase	)

		self.assertTrue(check_models_equal(__lowerCamelCase ,  __lowerCamelCase	)	)





	def 						_A (		self				:					Optional[Any]	):
		UpperCamelCase     :Union[str, Any]          =	"""bert"""
		UpperCamelCase     :Optional[Any]          =	"""hf-internal-testing/tiny-random-bert-subfolder"""

		with self.assertRaises(__lowerCamelCase	):
			UpperCamelCase     :Tuple          =	FlaxBertModel.from_pretrained(__lowerCamelCase	)

		UpperCamelCase     :Tuple          =	FlaxBertModel.from_pretrained(__lowerCamelCase ,  subfolder=__lowerCamelCase	)

		self.assertIsNotNone(__lowerCamelCase	)





	def 						_A (		self				:					Optional[Any]	):
		UpperCamelCase     :List[str]          =	"""bert"""
		UpperCamelCase     :str          =	"""hf-internal-testing/tiny-random-bert-sharded-subfolder"""
		with self.assertRaises(__lowerCamelCase	):
			UpperCamelCase     :Dict          =	FlaxBertModel.from_pretrained(__lowerCamelCase	)

		UpperCamelCase     :str          =	FlaxBertModel.from_pretrained(__lowerCamelCase ,  subfolder=__lowerCamelCase	)

		self.assertIsNotNone(__lowerCamelCase	)





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A__								=						logging.get_logger(__name__)

A__								=						{
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}


class       a							(			__lowerCamelCase				):
		__lowerCAmelCase	:    str											=					"""distilbert"""
		__lowerCAmelCase	:    str											=					{
		    """hidden_size""": """dim""",
		    """num_attention_heads""": """n_heads""",
		    """num_hidden_layers""": """n_layers""",
		}



		def __init__(     self     :Dict   ,__lowercase     :Tuple=3_0_5_2_2   ,__lowercase     :Optional[Any]=5_1_2   ,__lowercase     :List[str]=False   ,__lowercase     :List[str]=6   ,__lowercase     :Optional[Any]=1_2   ,__lowercase     :Tuple=7_6_8   ,__lowercase     :int=4 * 7_6_8   ,__lowercase     :List[Any]=0.1   ,__lowercase     :List[str]=0.1   ,__lowercase     :Union[str, Any]="gelu"   ,__lowercase     :List[str]=0.02   ,__lowercase     :Optional[int]=0.1   ,__lowercase     :Dict=0.2   ,__lowercase     :Union[str, Any]=0   ,**__lowercase     :Optional[Any]   ,):
						snake_case__	:      List[str]     		=	vocab_size
						snake_case__	:      Tuple     		=	max_position_embeddings
						snake_case__	:      Optional[int]     		=	sinusoidal_pos_embds
						snake_case__	:      str     		=	n_layers
						snake_case__	:      List[Any]     		=	n_heads
						snake_case__	:      Tuple     		=	dim
						snake_case__	:      str     		=	hidden_dim
						snake_case__	:      int     		=	dropout
						snake_case__	:      Dict     		=	attention_dropout
						snake_case__	:      Tuple     		=	activation
						snake_case__	:      int     		=	initializer_range
						snake_case__	:      Optional[Any]     		=	qa_dropout
						snake_case__	:      Union[str, Any]     		=	seq_classif_dropout
						super().__init__(**__lowercase   ,pad_token_id=__lowercase  )


class       a							(			__lowerCamelCase				):



		@property
		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						if self.task == "multiple-choice":
										snake_case__	:      str     		=	{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
						else:
										snake_case__	:      Optional[int]     		=	{0: '''batch''', 1: '''sequence'''}
						return OrderedDict(
						    [
						        ('''input_ids''', dynamic_axis),
						        ('''attention_mask''', dynamic_axis),
						    ]  )

