"""simple docstring"""


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
    from .tokenization_rembert import RemBertTokenizer
else:
    UpperCAmelCase__  		=						None

UpperCAmelCase__  		=						logging.get_logger(__name__)
UpperCAmelCase__  		=						{"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase__  		=						{
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
    """tokenizer_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/tokenizer.json""",
    },
}

UpperCAmelCase__  		=						{
    """google/rembert""": 2_5_6,
}

UpperCAmelCase__  		=						"""▁"""


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  Optional[Any]     							=							VOCAB_FILES_NAMES
    _snake_case     :  Optional[int]     							=							PRETRAINED_VOCAB_FILES_MAP
    _snake_case     :  List[Any]     							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _snake_case     :  Any     							=							RemBertTokenizer


    def __init__(					self	:  Union[str, Any]   ,				__lowerCAmelCase	:  str=None   ,				__lowerCAmelCase	:  int=None   ,				__lowerCAmelCase	:  int=True   ,				__lowerCAmelCase	:  Tuple=True   ,				__lowerCAmelCase	:  Union[str, Any]=False   ,				__lowerCAmelCase	:  List[str]="[CLS]"   ,				__lowerCAmelCase	:  List[str]="[SEP]"   ,				__lowerCAmelCase	:  int="<unk>"   ,				__lowerCAmelCase	:  List[Any]="[SEP]"   ,				__lowerCAmelCase	:  List[Any]="<pad>"   ,				__lowerCAmelCase	:  int="[CLS]"   ,				__lowerCAmelCase	:  Optional[int]="[MASK]"   ,				**__lowerCAmelCase	:  List[str]   ,				):
      # Mask token behave like a normal word, i.e. include the space before it
      _UpperCAmelCase						 =      AddedToken(__lowerCAmelCase   ,				lstrip=__lowerCAmelCase   ,				rstrip=__lowerCAmelCase					) if isinstance(__lowerCAmelCase   ,				__lowerCAmelCase					) else mask_token

      super().__init__(
          __lowerCAmelCase   ,				tokenizer_file=__lowerCAmelCase   ,				do_lower_case=__lowerCAmelCase   ,				remove_space=__lowerCAmelCase   ,				keep_accents=__lowerCAmelCase   ,				bos_token=__lowerCAmelCase   ,				eos_token=__lowerCAmelCase   ,				unk_token=__lowerCAmelCase   ,				sep_token=__lowerCAmelCase   ,				pad_token=__lowerCAmelCase   ,				cls_token=__lowerCAmelCase   ,				mask_token=__lowerCAmelCase   ,				**__lowerCAmelCase   ,				)

      _UpperCAmelCase						 =      do_lower_case
      _UpperCAmelCase						 =      remove_space
      _UpperCAmelCase						 =      keep_accents
      _UpperCAmelCase						 =      vocab_file
      _UpperCAmelCase						 =      False if not self.vocab_file else True


    def      lowerCAmelCase_  (					self	:  Union[str, Any]   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None					):
      _UpperCAmelCase						 =      [self.sep_token_id]
      _UpperCAmelCase						 =      [self.cls_token_id]
      if token_ids_a is None:
        return cls + token_ids_a + sep
      return cls + token_ids_a + sep + token_ids_a + sep


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None   ,				__lowerCAmelCase	:  bool = False					):

      if already_has_special_tokens:
        if token_ids_a is not None:
          raise ValueError(
              """You should not supply a second sequence if the provided sequence of """
              """ids is already formatted with special tokens for the model."""					)
        return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

      if token_ids_a is not None:
        return [1] + ([0] * len(__lowerCAmelCase					)) + [1] + ([0] * len(__lowerCAmelCase					)) + [1]
      return [1] + ([0] * len(__lowerCAmelCase					)) + [1]


    def      lowerCAmelCase_  (					self	:  Dict   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None					):
      _UpperCAmelCase						 =      [self.sep_token_id]
      _UpperCAmelCase						 =      [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      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  Optional[str] = None					):
      if not os.path.isdir(__lowerCAmelCase					):
        logger.error("""Vocabulary path ({}) should be a directory""".format(__lowerCAmelCase					)					)
        return
      _UpperCAmelCase						 =      os.path.join(
          __lowerCAmelCase   ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)

      if os.path.abspath(self.vocab_file					) != os.path.abspath(__lowerCAmelCase					):
        copyfile(self.vocab_file   ,				__lowerCAmelCase					)

      return (out_vocab_file,)




"""simple docstring"""


from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional

from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


try:
    from fastapi import Body, FastAPI, HTTPException
    from fastapi.routing import APIRoute
    from pydantic import BaseModel
    from starlette.responses import JSONResponse
    from uvicorn import run

    UpperCAmelCase__  		=						True
except (ImportError, AttributeError):
    UpperCAmelCase__  		=						object






    def     __UpperCAmelCase					(			*lowercase   ,**lowercase		):







      """simple docstring"""
      pass

    UpperCAmelCase__  		=						False


UpperCAmelCase__  		=						logging.get_logger("""transformers-cli/serving""")






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      pipeline(
      task=args.task   ,model=args.model if args.model else None   ,config=args.config   ,tokenizer=args.tokenizer   ,device=args.device   ,)
  return ServeCommand(lowercase   ,args.host   ,args.port   ,args.workers		)


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  dict



class        a				(		lowerCAmelCase_   ):
    _snake_case     :  List[str]
    _snake_case     :  Optional[List[int]]



class        a				(		lowerCAmelCase_   ):
    _snake_case     :  str



class        a				(		lowerCAmelCase_   ):
    _snake_case     :  Any



class        a				(		lowerCAmelCase_   ):


    @staticmethod
    def      lowerCAmelCase_  (					__lowerCAmelCase	:  ArgumentParser					):
      _UpperCAmelCase						 =      parser.add_parser(
          """serve"""   ,				help="""CLI tool to run inference requests through REST and GraphQL endpoints."""					)
      serve_parser.add_argument(
          """--task"""   ,				type=__lowerCAmelCase   ,				choices=get_supported_tasks()   ,				help="""The task to run the pipeline on"""   ,				)
      serve_parser.add_argument("""--host"""   ,				type=__lowerCAmelCase   ,				default="""localhost"""   ,				help="""Interface the server will listen on."""					)
      serve_parser.add_argument("""--port"""   ,				type=__lowerCAmelCase   ,				default=8888   ,				help="""Port the serving will listen to."""					)
      serve_parser.add_argument("""--workers"""   ,				type=__lowerCAmelCase   ,				default=1   ,				help="""Number of http workers"""					)
      serve_parser.add_argument("""--model"""   ,				type=__lowerCAmelCase   ,				help="""Model's name or path to stored model."""					)
      serve_parser.add_argument("""--config"""   ,				type=__lowerCAmelCase   ,				help="""Model's config name or path to stored model."""					)
      serve_parser.add_argument("""--tokenizer"""   ,				type=__lowerCAmelCase   ,				help="""Tokenizer name to use."""					)
      serve_parser.add_argument(
          """--device"""   ,				type=__lowerCAmelCase   ,				default=-1   ,				help="""Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)"""   ,				)
      serve_parser.set_defaults(func=__lowerCAmelCase					)


    def __init__(					self	:  Tuple   ,				__lowerCAmelCase	:  Pipeline   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  int   ,				__lowerCAmelCase	:  int					):
      _UpperCAmelCase						 =      pipeline

      _UpperCAmelCase						 =      host
      _UpperCAmelCase						 =      port
      _UpperCAmelCase						 =      workers

      if not _serve_dependencies_installed:
        raise RuntimeError(
            """Using serve command requires FastAPI and uvicorn. """
            """Please install transformers with [serving]: pip install \"transformers[serving]\"."""
            """Or install FastAPI and uvicorn separately."""					)
      else:
        logger.info(f'''Serving model over {host}:{port}'''					)
        _UpperCAmelCase						 =      FastAPI(
            routes=[
                APIRoute(
                    """/"""   ,				self.model_info   ,				response_model=__lowerCAmelCase   ,				response_class=__lowerCAmelCase   ,				methods=["""GET"""]   ,				),
                APIRoute(
                    """/tokenize"""   ,				self.tokenize   ,				response_model=__lowerCAmelCase   ,				response_class=__lowerCAmelCase   ,				methods=["""POST"""]   ,				),
                APIRoute(
                    """/detokenize"""   ,				self.detokenize   ,				response_model=__lowerCAmelCase   ,				response_class=__lowerCAmelCase   ,				methods=["""POST"""]   ,				),
                APIRoute(
                    """/forward"""   ,				self.forward   ,				response_model=__lowerCAmelCase   ,				response_class=__lowerCAmelCase   ,				methods=["""POST"""]   ,				),
            ]   ,				timeout=600   ,				)


    def      lowerCAmelCase_  (					self	:  Optional[int]					):
      run(self._app   ,				host=self.host   ,				port=self.port   ,				workers=self.workers					)


    def      lowerCAmelCase_  (					self	:  str					):
      return ServeModelInfoResult(infos=vars(self._pipeline.model.config					)					)


    def      lowerCAmelCase_  (					self	:  Tuple   ,				__lowerCAmelCase	:  str = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				__lowerCAmelCase	:  bool = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)					):
      try:
        _UpperCAmelCase						 =      self._pipeline.tokenizer.tokenize(__lowerCAmelCase					)

        if return_ids:
          _UpperCAmelCase						 =      self._pipeline.tokenizer.convert_tokens_to_ids(__lowerCAmelCase					)
          return ServeTokenizeResult(tokens=__lowerCAmelCase   ,				tokens_ids=__lowerCAmelCase					)
        else:
          return ServeTokenizeResult(tokens=__lowerCAmelCase					)

      except Exception as e:
        raise HTTPException(status_code=500   ,				detail={"""model""": """""", """error""": str(__lowerCAmelCase					)}					)


    def      lowerCAmelCase_  (					self	:  int   ,				__lowerCAmelCase	:  List[int] = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				__lowerCAmelCase	:  bool = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				__lowerCAmelCase	:  bool = Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)   ,				):
      try:
        _UpperCAmelCase						 =      self._pipeline.tokenizer.decode(__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)
        return ServeDeTokenizeResult(model=""""""   ,				text=__lowerCAmelCase					)
      except Exception as e:
        raise HTTPException(status_code=500   ,				detail={"""model""": """""", """error""": str(__lowerCAmelCase					)}					)


    async def      lowerCAmelCase_  (					self	:  str   ,				__lowerCAmelCase	:  List[Any]=Body(__lowerCAmelCase   ,				embed=__lowerCAmelCase					)					):

      # Check we don't have empty string
      if len(__lowerCAmelCase					) == 0:
        return ServeForwardResult(output=[]   ,				attention=[]					)

      try:
        # Forward through the model
        _UpperCAmelCase						 =      self._pipeline(__lowerCAmelCase					)
        return ServeForwardResult(output=__lowerCAmelCase					)
      except Exception as e:
        raise HTTPException(500   ,				{"""error""": str(__lowerCAmelCase					)}					)
