





from collections.abc import Generator
from math import sin
def      _A       (		SCREAMING_SNAKE_CASE     :   bytes						):





  """simple docstring"""



  if len(SCREAMING_SNAKE_CASE						) != 32:
    raise ValueError("Input must be of length 32"						)

  a__	:					Optional[Any]										=b""
  for i in [3, 2, 1, 0]:
    little_endian += string_aa[8 * i : 8 * i + 8]
  return little_endian
def      _A       (		SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  if i < 0:
    raise ValueError("Input must be non-negative"						)

  a__	:					Optional[Any]										=format(SCREAMING_SNAKE_CASE       ,       "08x"						)[-8:]
  a__	:					Tuple										=b""
  for i in [3, 2, 1, 0]:
    little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode("utf-8"						)
  return little_endian_hex
def      _A       (		SCREAMING_SNAKE_CASE     :   bytes						):





  """simple docstring"""



  a__	:					Any										=b""
  for char in message:
    bit_string += format(SCREAMING_SNAKE_CASE       ,       "08b"						).encode("utf-8"						)
  a__	:					Optional[Any]										=format(len(SCREAMING_SNAKE_CASE						)       ,       "064b"						).encode("utf-8"						)

  # Pad bit_string to a multiple of 512 chars
  bit_string += b"1"
  while len(SCREAMING_SNAKE_CASE						) % 512 != 448:
    bit_string += b"0"
  bit_string += to_little_endian(start_len[32:]						) + to_little_endian(start_len[:32]						)

  return bit_string
def      _A       (		SCREAMING_SNAKE_CASE     :   bytes						):





  """simple docstring"""



  if len(SCREAMING_SNAKE_CASE						) % 512 != 0:
    raise ValueError("Input must have length that's a multiple of 512"						)

  for pos in range(0       ,       len(SCREAMING_SNAKE_CASE						)       ,       512						):
    a__	:					List[str]										=bit_string[pos : pos + 512]
    a__	:					Union[str, Any]										=[]
    for i in range(0       ,       512       ,       32						):
      block_words.append(int(to_little_endian(block[i : i + 32]						)       ,       2						)						)
    yield block_words
def      _A       (		SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  if i < 0:
    raise ValueError("Input must be non-negative"						)

  a__	:					Optional[int]										=format(SCREAMING_SNAKE_CASE       ,       "032b"						)
  a__	:					Optional[int]										=""
  for c in i_str:
    new_str += "1" if c == "0" else "0"
  return int(SCREAMING_SNAKE_CASE       ,       2						)
def      _A       (		SCREAMING_SNAKE_CASE     :   int       ,       SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  return (a + b) % 2**32
def      _A       (		SCREAMING_SNAKE_CASE     :   int       ,       SCREAMING_SNAKE_CASE     :   int						):





  """simple docstring"""



  if i < 0:
    raise ValueError("Input must be non-negative"						)
  if shift < 0:
    raise ValueError("Shift must be non-negative"						)
  return ((i << shift) ^ (i >> (32 - shift))) % 2**32
def      _A       (		SCREAMING_SNAKE_CASE     :   bytes						):





  """simple docstring"""



  a__	:					str										=preprocess(SCREAMING_SNAKE_CASE						)

  a__	:					List[str]										=[int(2**32 * abs(sin(i + 1						)						)						) for i in range(64						)]

  # Starting states
  a__	:					List[Any]										=0x67_452_301
  a__	:					Optional[Any]										=0xEF_CDA_B89
  a__	:					List[Any]										=0x98_BAD_CFE
  a__	:					Any										=0x10_325_476

  a__	:					str										=[
      7,
      12,
      17,
      22,
      7,
      12,
      17,
      22,
      7,
      12,
      17,
      22,
      7,
      12,
      17,
      22,
      5,
      9,
      14,
      20,
      5,
      9,
      14,
      20,
      5,
      9,
      14,
      20,
      5,
      9,
      14,
      20,
      4,
      11,
      16,
      23,
      4,
      11,
      16,
      23,
      4,
      11,
      16,
      23,
      4,
      11,
      16,
      23,
      6,
      10,
      15,
      21,
      6,
      10,
      15,
      21,
      6,
      10,
      15,
      21,
      6,
      10,
      15,
      21,
  ]

  # Process bit string in chunks, each with 16 32-char words
  for block_words in get_block_words(SCREAMING_SNAKE_CASE						):
    a__	:					List[Any]										=aa
    a__	:					List[Any]										=ba
    a__	:					List[Any]										=ca
    a__	:					List[str]										=da

    # Hash current chunk
    for i in range(64						):
      if i <= 15:
        # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
        a__	:					Tuple										=d ^ (b & (c ^ d))
        a__	:					str										=i
      elif i <= 31:
        # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
        a__	:					Any										=c ^ (d & (b ^ c))
        a__	:					str										=(5 * i + 1) % 16
      elif i <= 47:
        a__	:					Dict										=b ^ c ^ d
        a__	:					Optional[Any]										=(3 * i + 5) % 16
      else:
        a__	:					Optional[Any]										=c ^ (b | not_aa(SCREAMING_SNAKE_CASE						))
        a__	:					str										=(7 * i) % 16
      a__	:					Optional[Any]										=(f + a + added_consts[i] + block_words[g]) % 2**32
      a__	:					List[Any]										=d
      a__	:					List[str]										=c
      a__	:					int										=b
      a__	:					Dict										=sum_aa(SCREAMING_SNAKE_CASE       ,       left_rotate_aa(SCREAMING_SNAKE_CASE       ,       shift_amounts[i]						)						)

    # Add hashed chunk to running total
    a__	:					Union[str, Any]										=sum_aa(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)
    a__	:					List[Any]										=sum_aa(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)
    a__	:					int										=sum_aa(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)
    a__	:					List[str]										=sum_aa(SCREAMING_SNAKE_CASE       ,       SCREAMING_SNAKE_CASE						)

  a__	:					Tuple										=reformat_hex(SCREAMING_SNAKE_CASE						) + reformat_hex(SCREAMING_SNAKE_CASE						) + reformat_hex(SCREAMING_SNAKE_CASE						) + reformat_hex(SCREAMING_SNAKE_CASE						)
  return digest


if __name__ == "__main__":
     import doctest

     doctest.testmod()













# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					Optional[Any]						=			"""philschmid/bart-large-cnn-samsum"""
      _lowercase				:					List[Any]						=			(
          """This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, """
          """and returns a summary of the text."""
      )
      _lowercase				:					Any						=			"""summarizer"""
      _lowercase				:					Any						=			AutoTokenizer
      _lowercase				:					str						=			AutoModelForSeqaSeqLM

      _lowercase				:					Optional[int]						=			["""text"""]
      _lowercase				:					Optional[int]						=			["""text"""]







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Tuple:



        '''simple docstring'''




        return self.pre_processor(lowerCAmelCase__		,      return_tensors="pt"		,      truncation=lowerCAmelCase__							)







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Union[str, Any]:



        '''simple docstring'''




        return self.model.generate(**lowerCAmelCase__							)[0]







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Any:



        '''simple docstring'''




        return self.pre_processor.decode(lowerCAmelCase__		,      skip_special_tokens=lowerCAmelCase__		,      clean_up_tokenization_spaces=lowerCAmelCase__							)






