



'''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

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




  def lowerCAmelCase    (*__A    ,      **__A):



       """simple docstring"""



       pass
  lowercase_									=    False


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




def lowerCAmelCase    (__A):



     """simple docstring"""



     _a           =    pipeline(
         task=args.task    ,      model=args.model if args.model else None    ,      config=args.config    ,      tokenizer=args.tokenizer    ,      device=args.device    ,      )
     return ServeCommand(__A    ,      args.host    ,      args.port    ,      args.workers)






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			dict






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			List[str]
 __lowerCamelCase       :			Optional[List[int]]






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			str






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			Any






class __A     (    A		):



 '''simple docstring'''







 @staticmethod
 def    a__    (A			)       ->	Any:


      """simple docstring"""



      _a           =    parser.add_parser(
          '''serve'''					,  help='''CLI tool to run inference requests through REST and GraphQL endpoints.'''			)
      serve_parser.add_argument(
          '''--task'''					,  type=A					,  choices=get_supported_tasks()					,  help='''The task to run the pipeline on'''					,  )
      serve_parser.add_argument('''--host'''					,  type=A					,  default='''localhost'''					,  help='''Interface the server will listen on.'''			)
      serve_parser.add_argument('''--port'''					,  type=A					,  default=8_888					,  help='''Port the serving will listen to.'''			)
      serve_parser.add_argument('''--workers'''					,  type=A					,  default=1					,  help='''Number of http workers'''			)
      serve_parser.add_argument('''--model'''					,  type=A					,  help='''Model\'s name or path to stored model.'''			)
      serve_parser.add_argument('''--config'''					,  type=A					,  help='''Model\'s config name or path to stored model.'''			)
      serve_parser.add_argument('''--tokenizer'''					,  type=A					,  help='''Tokenizer name to use.'''			)
      serve_parser.add_argument(
          '''--device'''					,  type=A					,  default=-1					,  help='''Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)'''					,  )
      serve_parser.set_defaults(func=A			)



 def __init__(self					,  A					,  A					,  A					,  A			)       ->	List[str]:


      """simple docstring"""



      _a           =    pipeline

      _a           =    host
      _a           =    port
      _a           =    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}'''			)
           _a           =    FastAPI(
               routes=[
                   APIRoute(
                       '''/'''					,  self.model_info					,  response_model=A					,  response_class=A					,  methods=['''GET''']					,  ),
                   APIRoute(
                       '''/tokenize'''					,  self.tokenize					,  response_model=A					,  response_class=A					,  methods=['''POST''']					,  ),
                   APIRoute(
                       '''/detokenize'''					,  self.detokenize					,  response_model=A					,  response_class=A					,  methods=['''POST''']					,  ),
                   APIRoute(
                       '''/forward'''					,  self.forward					,  response_model=A					,  response_class=A					,  methods=['''POST''']					,  ),
               ]					,  timeout=600					,  )



 def    a__    (self			)       ->	List[str]:


      """simple docstring"""



      run(self._app					,  host=self.host					,  port=self.port					,  workers=self.workers			)



 def    a__    (self			)       ->	List[Any]:


      """simple docstring"""



      return ServeModelInfoResult(infos=vars(self._pipeline.model.config			)			)



 def    a__    (self					,  A = Body(A					,  embed=A			)					,  A = Body(A					,  embed=A			)			)       ->	str:


      """simple docstring"""



      try:
           _a           =    self._pipeline.tokenizer.tokenize(A			)

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

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



 def    a__    (self					,  A = Body(A					,  embed=A			)					,  A = Body(A					,  embed=A			)					,  A = Body(A					,  embed=A			)					,  )       ->	List[str]:


      """simple docstring"""



      try:
           _a           =    self._pipeline.tokenizer.decode(A					,  A					,  A			)
           return ServeDeTokenizeResult(model=''''''					,  text=A			)
      except Exception as e:
           raise HTTPException(status_code=500					,  detail={'''model''': '''''', '''error''': str(A			)}			)



 async def    a__    (self					,  A=Body(A					,  embed=A			)			)       ->	List[str]:


      """simple docstring"""



      if len(A			) == 0:
           return ServeForwardResult(output=[]					,  attention=[]			)

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








'''simple docstring'''





from binascii import hexlify
from hashlib import shaaaa
from os import urandom

# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526

lowercase_									=    {
    # 1536-bit
    5: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA237327FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 2048-bit
    14: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AACAA68FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 3072-bit
    15: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64"
            + "ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7"
            + "ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B"
            + "F12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31"
            + "43DB5BFCE0FD108E4B82D120A93AD2CAFFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 4096-bit
    16: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64"
            + "ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7"
            + "ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B"
            + "F12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31"
            + "43DB5BFCE0FD108E4B82D120A92108011A723C12A787E6D7"
            + "88719A10BDBA5B2699C327186AF4E23C1A946834B6150BDA"
            + "2583E9CA2AD44CE8DBBBC2DB04DE8EF92E8EFC141FBECAA6"
            + "287C59474E6BC05D99B2964FA090C3A2233BA186515BE7ED"
            + "1F612970CEE2D7AFB81BDD762170481CD0069127D5B05AA9"
            + "93B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934063199"
            + "FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 6144-bit
    17: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD129024E08"
            + "8A67CC74020BBEA63B139B22514A08798E3404DDEF9519B3CD3A431B"
            + "302B0A6DF25F14374FE1356D6D51C245E485B576625E7EC6F44C42E9"
            + "A637ED6B0BFF5CB6F406B7EDEE386BFB5A899FA5AE9F24117C4B1FE6"
            + "49286651ECE45B3DC2007CB8A163BF0598DA48361C55D39A69163FA8"
            + "FD24CF5F83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3BE39E772C"
            + "180E86039B2783A2EC07A28FB5C55DF06F4C52C9DE2BCBF695581718"
            + "3995497CEA956AE515D2261898FA051015728E5A8AAAC42DAD33170D"
            + "04507A33A85521ABDF1CBA64ECFB850458DBEF0A8AEA71575D060C7D"
            + "B3970F85A6E1E4C7ABF5AE8CDB0933D71E8C94E04A25619DCEE3D226"
            + "1AD2EE6BF12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB3143DB5BFC"
            + "E0FD108E4B82D120A92108011A723C12A787E6D788719A10BDBA5B26"
            + "99C327186AF4E23C1A946834B6150BDA2583E9CA2AD44CE8DBBBC2DB"
            + "04DE8EF92E8EFC141FBECAA6287C59474E6BC05D99B2964FA090C3A2"
            + "233BA186515BE7ED1F612970CEE2D7AFB81BDD762170481CD0069127"
            + "D5B05AA993B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934028492"
            + "36C3FAB4D27C7026C1D4DCB2602646DEC9751E763DBA37BDF8FF9406"
            + "AD9E530EE5DB382F413001AEB06A53ED9027D831179727B0865A8918"
            + "DA3EDBEBCF9B14ED44CE6CBACED4BB1BDB7F1447E6CC254B33205151"
            + "2BD7AF426FB8F401378CD2BF5983CA01C64B92ECF032EA15D1721D03"
            + "F482D7CE6E74FEF6D55E702F46980C82B5A84031900B1C9E59E7C97F"
            + "BEC7E8F323A97A7E36CC88BE0F1D45B7FF585AC54BD407B22B4154AA"
            + "CC8F6D7EBF48E1D814CC5ED20F8037E0A79715EEF29BE32806A1D58B"
            + "B7C5DA76F550AA3D8A1FBFF0EB19CCB1A313D55CDA56C9EC2EF29632"
            + "387FE8D76E3C0468043E8F663F4860EE12BF2D5B0B7474D6E694F91E"
            + "6DCC4024FFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
    # 8192-bit
    18: {
        "prime": int(
            "FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1"
            + "29024E088A67CC74020BBEA63B139B22514A08798E3404DD"
            + "EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245"
            + "E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED"
            + "EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D"
            + "C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F"
            + "83655D23DCA3AD961C62F356208552BB9ED529077096966D"
            + "670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B"
            + "E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9"
            + "DE2BCBF6955817183995497CEA956AE515D2261898FA0510"
            + "15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64"
            + "ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7"
            + "ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B"
            + "F12FFA06D98A0864D87602733EC86A64521F2B18177B200C"
            + "BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31"
            + "43DB5BFCE0FD108E4B82D120A92108011A723C12A787E6D7"
            + "88719A10BDBA5B2699C327186AF4E23C1A946834B6150BDA"
            + "2583E9CA2AD44CE8DBBBC2DB04DE8EF92E8EFC141FBECAA6"
            + "287C59474E6BC05D99B2964FA090C3A2233BA186515BE7ED"
            + "1F612970CEE2D7AFB81BDD762170481CD0069127D5B05AA9"
            + "93B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934028492"
            + "36C3FAB4D27C7026C1D4DCB2602646DEC9751E763DBA37BD"
            + "F8FF9406AD9E530EE5DB382F413001AEB06A53ED9027D831"
            + "179727B0865A8918DA3EDBEBCF9B14ED44CE6CBACED4BB1B"
            + "DB7F1447E6CC254B332051512BD7AF426FB8F401378CD2BF"
            + "5983CA01C64B92ECF032EA15D1721D03F482D7CE6E74FEF6"
            + "D55E702F46980C82B5A84031900B1C9E59E7C97FBEC7E8F3"
            + "23A97A7E36CC88BE0F1D45B7FF585AC54BD407B22B4154AA"
            + "CC8F6D7EBF48E1D814CC5ED20F8037E0A79715EEF29BE328"
            + "06A1D58BB7C5DA76F550AA3D8A1FBFF0EB19CCB1A313D55C"
            + "DA56C9EC2EF29632387FE8D76E3C0468043E8F663F4860EE"
            + "12BF2D5B0B7474D6E694F91E6DBE115974A3926F12FEE5E4"
            + "38777CB6A932DF8CD8BEC4D073B931BA3BC832B68D9DD300"
            + "741FA7BF8AFC47ED2576F6936BA424663AAB639C5AE4F568"
            + "3423B4742BF1C978238F16CBE39D652DE3FDB8BEFC848AD9"
            + "22222E04A4037C0713EB57A81A23F0C73473FC646CEA306B"
            + "4BCBC8862F8385DDFA9D4B7FA2C087E879683303ED5BDD3A"
            + "062B3CF5B3A278A66D2A13F83F44F82DDF310EE074AB6A36"
            + "4597E899A0255DC164F31CC50846851DF9AB48195DED7EA1"
            + "B1D510BD7EE74D73FAF36BC31ECFA268359046F4EB879F92"
            + "4009438B481C6CD7889A002ED5EE382BC9190DA6FC026E47"
            + "9558E4475677E9AA9E3050E2765694DFC81F56E880B96E71"
            + "60C980DD98EDD3DFFFFFFFFFFFFFFFFF",
            base=16,
        ),
        "generator": 2,
    },
}






class __A     :



 '''simple docstring'''







 def __init__(self					,  A = 14			)       ->	None:


      """simple docstring"""



      if group not in primes:
           raise ValueError('''Unsupported Group'''			)
      _a           =    primes[group]['''prime''']
      _a           =    primes[group]['''generator''']

      _a           =    int(hexlify(urandom(32			)			)					,  base=16			)



 def    a__    (self			)       ->	str:


      """simple docstring"""



      return hex(self.__private_key			)[2:]



 def    a__    (self			)       ->	str:


      """simple docstring"""



      _a           =    pow(self.generator					,  self.__private_key					,  self.prime			)
      return hex(A			)[2:]



 def    a__    (self					,  A			)       ->	bool:


      """simple docstring"""



      return (
          2 <= key <= self.prime - 2
          and pow(A					,  (self.prime - 1) // 2					,  self.prime			) == 1
      )



 def    a__    (self					,  A			)       ->	str:


      """simple docstring"""



      _a           =    int(A					,  base=16			)
      if not self.is_valid_public_key(A			):
           raise ValueError('''Invalid public key'''			)
      _a           =    pow(A					,  self.__private_key					,  self.prime			)
      return shaaaa(str(A			).encode()			).hexdigest()



 @staticmethod
 def    a__    (A					,  A			)       ->	bool:


      """simple docstring"""



      return (
          2 <= remote_public_key_str <= prime - 2
          and pow(A					,  (prime - 1) // 2					,  A			) == 1
      )



 @staticmethod
 def    a__    (A					,  A					,  A = 14			)       ->	str:


      """simple docstring"""



      _a           =    int(A					,  base=16			)
      _a           =    int(A					,  base=16			)
      _a           =    primes[group]['''prime''']
      if not DiffieHellman.is_valid_public_key_static(A					,  A			):
           raise ValueError('''Invalid public key'''			)
      _a           =    pow(A					,  A					,  A			)
      return shaaaa(str(A			).encode()			).hexdigest()


if __name__ == "__main__":
  import doctest

  doctest.testmod()



