






'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


lowerCamelCase_												=					{
    '''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
    '''albert-large-v1''': '''https://huggingface.co/albert-large-v1/resolve/main/config.json''',
    '''albert-xlarge-v1''': '''https://huggingface.co/albert-xlarge-v1/resolve/main/config.json''',
    '''albert-xxlarge-v1''': '''https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json''',
    '''albert-base-v2''': '''https://huggingface.co/albert-base-v2/resolve/main/config.json''',
    '''albert-large-v2''': '''https://huggingface.co/albert-large-v2/resolve/main/config.json''',
    '''albert-xlarge-v2''': '''https://huggingface.co/albert-xlarge-v2/resolve/main/config.json''',
    '''albert-xxlarge-v2''': '''https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json''',
}

class    _UpperCAmelCase			(     snake_case_						):




   """simple docstring"""

   snake_case    				=						'''albert'''

   def __init__(		self :	List[Any]      ,      __UpperCAmelCase :	Union[str, Any]=30000      ,      __UpperCAmelCase :	List[str]=128      ,      __UpperCAmelCase :	List[Any]=4096      ,      __UpperCAmelCase :	Optional[Any]=12      ,      __UpperCAmelCase :	Optional[int]=1      ,      __UpperCAmelCase :	List[str]=64      ,      __UpperCAmelCase :	str=16384      ,      __UpperCAmelCase :	Optional[int]=1      ,      __UpperCAmelCase :	int="gelu_new"      ,      __UpperCAmelCase :	Dict=0      ,      __UpperCAmelCase :	Tuple=0      ,      __UpperCAmelCase :	Tuple=512      ,      __UpperCAmelCase :	Any=2      ,      __UpperCAmelCase :	Any=0.02      ,      __UpperCAmelCase :	Optional[Any]=1E-12      ,      __UpperCAmelCase :	Any=0.1      ,      __UpperCAmelCase :	Optional[Any]="absolute"      ,      __UpperCAmelCase :	Optional[int]=0      ,      __UpperCAmelCase :	Optional[int]=2      ,      __UpperCAmelCase :	Dict=3      ,      **__UpperCAmelCase :	Optional[int]      ,      ):





         '''simple docstring'''





         super().__init__(pad_token_id=__UpperCAmelCase      ,      bos_token_id=__UpperCAmelCase      ,      eos_token_id=__UpperCAmelCase      ,      **__UpperCAmelCase		)

         _A			     =	vocab_size
         _A			     =	embedding_size
         _A			     =	hidden_size
         _A			     =	num_hidden_layers
         _A			     =	num_hidden_groups
         _A			     =	num_attention_heads
         _A			     =	inner_group_num
         _A			     =	hidden_act
         _A			     =	intermediate_size
         _A			     =	hidden_dropout_prob
         _A			     =	attention_probs_dropout_prob
         _A			     =	max_position_embeddings
         _A			     =	type_vocab_size
         _A			     =	initializer_range
         _A			     =	layer_norm_eps
         _A			     =	classifier_dropout_prob
         _A			     =	position_embedding_type





class    _UpperCAmelCase			(     snake_case_						):




   """simple docstring"""

   @property
   def 						lowerCAmelCase (		self :	List[str]		):





         '''simple docstring'''





         if self.task == "multiple-choice":
               _A			     =	{0: "batch", 1: "choice", 2: "sequence"}
         else:
               _A			     =	{0: "batch", 1: "sequence"}
         return OrderedDict(
             [
                 ("input_ids", dynamic_axis),
                 ("attention_mask", dynamic_axis),
                 ("token_type_ids", dynamic_axis),
             ]		)






import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
      from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
      from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
      from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


A   :     Tuple       =				DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

A   :     Dict       =				"main"
# Default branch name
A   :     List[str]       =				"f2c752cfc5c0ab6f4bdec59acea69eefbee381c2"
# One particular commit (not the top of `main`)
A   :     Tuple       =				"aaaaaaa"
# This commit does not exist, so we should 404.

A   :     int       =				"d9e9f15bc825e4b2c9249e9578f884bbcb5e3684"
# Sha-1 of config.json on the top of `main`, for checking purposes
A   :     Tuple       =				"4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3"


@contextlib.contextmanager
def    a__       (						):
      print("Welcome!" )
      yield
      print("Bye!" )


@contextlib.contextmanager
def    a__       (						):
      print("Bonjour!" )
      yield
      print("Au revoir!" )


class      lowerCamelCase    (unittest.TestCase    ):
  """simple docstring"""







  def       __A   (							self       :				Union[str, Any]      )     ->		Any:
        # If the spec is missing, importlib would not be able to import the module dynamically.
        assert transformers.__spec__ is not None
        assert importlib.util.find_spec("transformers"      ) is not None



class      lowerCamelCase    (unittest.TestCase    ):
  """simple docstring"""







  @unittest.mock.patch("sys.stdout"     ,   new_callable=io.StringIO      )
  def       __A   (							self       :				Tuple     ,   __magic_name__       :				Union[str, Any]      )     ->		Union[str, Any]:
        with ContextManagers([]      ):
              print("Transformers are awesome!"      )
        # The print statement adds a new line at the end of the output
        self.assertEqual(mock_stdout.getvalue()     ,   "Transformers are awesome!\n"      )







  @unittest.mock.patch("sys.stdout"     ,   new_callable=io.StringIO      )
  def       __A   (							self       :				Dict     ,   __magic_name__       :				Union[str, Any]      )     ->		int:
        with ContextManagers([context_en()]      ):
              print("Transformers are awesome!"      )
        # The output should be wrapped with an English welcome and goodbye
        self.assertEqual(mock_stdout.getvalue()     ,   "Welcome!\nTransformers are awesome!\nBye!\n"      )







  @unittest.mock.patch("sys.stdout"     ,   new_callable=io.StringIO      )
  def       __A   (							self       :				Tuple     ,   __magic_name__       :				str      )     ->		Union[str, Any]:
        with ContextManagers([context_fr(), context_en()]      ):
              print("Transformers are awesome!"      )
        # The output should be wrapped with an English and French welcome and goodbye
        self.assertEqual(mock_stdout.getvalue()     ,   "Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n"      )







  @require_torch
  def       __A   (							self       :				List[str]      )     ->		Union[str, Any]:
        self.assertEqual(find_labels(__magic_name__      )     ,   ["labels"]      )
        self.assertEqual(find_labels(__magic_name__      )     ,   ["labels", "next_sentence_label"]      )
        self.assertEqual(find_labels(__magic_name__      )     ,   ["start_positions", "end_positions"]      )


        class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
          """simple docstring"""







          pass



        self.assertEqual(find_labels(__magic_name__      )     ,   ["labels"]      )







  @require_tf
  def       __A   (							self       :				List[str]      )     ->		Optional[Any]:
        self.assertEqual(find_labels(__magic_name__      )     ,   ["labels"]      )
        self.assertEqual(find_labels(__magic_name__      )     ,   ["labels", "next_sentence_label"]      )
        self.assertEqual(find_labels(__magic_name__      )     ,   ["start_positions", "end_positions"]      )


        class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
          """simple docstring"""







          pass



        self.assertEqual(find_labels(__magic_name__      )     ,   ["labels"]      )







  @require_flax
  def       __A   (							self       :				int      )     ->		Tuple:
        # Flax models don't have labels
        self.assertEqual(find_labels(__magic_name__      )     ,   []      )
        self.assertEqual(find_labels(__magic_name__      )     ,   []      )
        self.assertEqual(find_labels(__magic_name__      )     ,   []      )


        class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
          """simple docstring"""







          pass



        self.assertEqual(find_labels(__magic_name__      )     ,   []      )


