


'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


lowerCamelCase				:  Union[str, Any]    		=      logging.get_logger(__name__)

lowerCamelCase				:  Any    		=      {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase				:  Any    		=      {
    'vocab_file': {'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'},
    'tokenizer_file': {
        'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'
    },
}

lowerCamelCase				:  Optional[int]    		=      {'mobilebert-uncased': 512}


lowerCamelCase				:  Dict    		=      {}
class     __lowerCAmelCase		(A__	):





      '''simple docstring'''






      lowerCAmelCase__   :	str       =				VOCAB_FILES_NAMES
      lowerCAmelCase__   :	Any       =				PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__   :	Union[str, Any]       =				PRETRAINED_INIT_CONFIGURATION
      lowerCAmelCase__   :	Tuple       =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__   :	List[Any]       =				MobileBertTokenizer



      def __init__(self       :       List[str]  ,		UpperCamelCase       :       Optional[int]=None  ,		UpperCamelCase       :       Union[str, Any]=None  ,		UpperCamelCase       :       Dict=True  ,		UpperCamelCase       :       Tuple="[UNK]"  ,		UpperCamelCase       :       List[str]="[SEP]"  ,		UpperCamelCase       :       List[str]="[PAD]"  ,		UpperCamelCase       :       Any="[CLS]"  ,		UpperCamelCase       :       List[Any]="[MASK]"  ,		UpperCamelCase       :       str=True  ,		UpperCamelCase       :       Tuple=None  ,		**UpperCamelCase       :       Union[str, Any]  ,		):

             '''simple docstring'''







             super().__init__(
                 snake_case_  ,		tokenizer_file=snake_case_  ,		do_lower_case=snake_case_  ,		unk_token=snake_case_  ,		sep_token=snake_case_  ,		pad_token=snake_case_  ,		cls_token=snake_case_  ,		mask_token=snake_case_  ,		tokenize_chinese_chars=snake_case_  ,		strip_accents=snake_case_  ,		**snake_case_  ,		)

             lowercase__      =					json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
             if (
                 normalizer_state.get('''lowercase'''  ,		snake_case_					) != do_lower_case
                 or normalizer_state.get('''strip_accents'''  ,		snake_case_					) != strip_accents
                 or normalizer_state.get('''handle_chinese_chars'''  ,		snake_case_					) != tokenize_chinese_chars
             ):
                    lowercase__      =					getattr(snake_case_  ,		normalizer_state.pop('''type'''					)					)
                    lowercase__      =					do_lower_case
                    lowercase__      =					strip_accents
                    lowercase__      =					tokenize_chinese_chars
                    lowercase__      =					normalizer_class(**snake_case_					)

             lowercase__      =					do_lower_case



      def  UpperCamelCase__						(self       :       Any  ,		UpperCamelCase       :       Tuple  ,		UpperCamelCase       :       Dict=None					):

             '''simple docstring'''







             lowercase__      =					[self.cls_token_id] + token_ids_a + [self.sep_token_id]

             if token_ids_a:
                    output += token_ids_a + [self.sep_token_id]

             return output



      def  UpperCamelCase__						(self       :       List[Any]  ,		UpperCamelCase       :       List[Any]  ,		UpperCamelCase       :       int = None					):

             '''simple docstring'''







             lowercase__      =					[self.sep_token_id]
             lowercase__      =					[self.cls_token_id]
             if token_ids_a is None:
                    return len(cls + token_ids_a + sep					) * [0]
             return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]






      def  UpperCamelCase__						(self       :       Optional[Any]  ,		UpperCamelCase       :       int  ,		UpperCamelCase       :       List[str] = None					):

             '''simple docstring'''







             lowercase__      =					self._tokenizer.model.save(snake_case_  ,		name=snake_case_					)
             return tuple(snake_case_					)






"""simple docstring"""
import os
import socket
from contextlib import contextmanager

import torch

from ..commands.config.default import write_basic_config  # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .transformer_engine import convert_model
from .versions import is_torch_version


if is_deepspeed_available():
			from deepspeed import DeepSpeedEngine

if is_tpu_available(check_device=False):
			import torch_xla.core.xla_model as xm

def  lowercase     (_lowerCAmelCase						):
						if is_torch_version("""<""" ,    """2.0.0"""						) or not hasattr(_lowerCAmelCase ,    """_dynamo"""						):
												return False
						return isinstance(_lowerCAmelCase ,    torch._dynamo.eval_frame.OptimizedModule						)

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase = True						):
						__lowerCAmelCase     =  (torch.nn.parallel.DistributedDataParallel, torch.nn.DataParallel)

						__lowerCAmelCase     =  is_compiled_module(_lowerCAmelCase						)
						if is_compiled:
												__lowerCAmelCase     =  model
												__lowerCAmelCase     =  model._orig_mod

						if is_deepspeed_available():
												options += (DeepSpeedEngine,)

						while isinstance(_lowerCAmelCase ,    _lowerCAmelCase						):
												__lowerCAmelCase     =  model.module

						if not keep_fpaa_wrapper:
												__lowerCAmelCase     =  getattr(_lowerCAmelCase ,    """forward"""						)
												__lowerCAmelCase     =  model.__dict__.pop("""_original_forward""" ,    _lowerCAmelCase						)
												if original_forward is not None:
																		while hasattr(_lowerCAmelCase ,    """__wrapped__"""						):
																								__lowerCAmelCase     =  forward.__wrapped__
																								if forward == original_forward:
																														break
																		__lowerCAmelCase     =  forward
												if getattr(_lowerCAmelCase ,    """_converted_to_transformer_engine""" ,    _lowerCAmelCase						):
																		convert_model(_lowerCAmelCase ,    to_transformer_engine=_lowerCAmelCase						)

						if is_compiled:
												__lowerCAmelCase     =  model
												__lowerCAmelCase     =  compiled_model

						return model

def  lowercase     ():
						PartialState().wait_for_everyone()

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):
						if PartialState().distributed_type == DistributedType.TPU:
												xm.save(_lowerCAmelCase ,    _lowerCAmelCase						)
						elif PartialState().local_process_index == 0:
												torch.save(_lowerCAmelCase ,    _lowerCAmelCase						)

@contextmanager
def  lowercase     (**_lowerCAmelCase						):
						for key, value in kwargs.items():
												__lowerCAmelCase     =  str(_lowerCAmelCase						)

						yield

						for key in kwargs:
												if key.upper() in os.environ:
																		del os.environ[key.upper()]

def  lowercase     (_lowerCAmelCase						):
						if not hasattr(_lowerCAmelCase ,    """__qualname__"""						) and not hasattr(_lowerCAmelCase ,    """__name__"""						):
												__lowerCAmelCase     =  getattr(_lowerCAmelCase ,    """__class__""" ,    _lowerCAmelCase						)
						if hasattr(_lowerCAmelCase ,    """__qualname__"""						):
												return obj.__qualname__
						if hasattr(_lowerCAmelCase ,    """__name__"""						):
												return obj.__name__
						return str(_lowerCAmelCase						)

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase						):
						for key, value in source.items():
												if isinstance(_lowerCAmelCase ,    _lowerCAmelCase						):
																		__lowerCAmelCase     =  destination.setdefault(_lowerCAmelCase ,    {}						)
																		merge_dicts(_lowerCAmelCase ,    _lowerCAmelCase						)
												else:
																		__lowerCAmelCase     =  value

						return destination



def  lowercase     (_lowerCAmelCase = None						):
						if port is None:
												__lowerCAmelCase     =  2_9500
						with socket.socket(socket.AF_INET ,    socket.SOCK_STREAM						) as s:
												return s.connect_ex(("""localhost""", port)						) == 0
