






from collections.abc import Generator
from math import sin




def       _SCREAMING_SNAKE_CASE (							__snake_case )				->						bytes:





       if len(UpperCamelCase__ ) != 3_2:
              raise ValueError("""Input must be of length 32""" )

       _UpperCAmelCase							=    b''''''
       for i in [3, 2, 1, 0]:
              little_endian += string_aa[8 * i : 8 * i + 8]
       return little_endian




def       _SCREAMING_SNAKE_CASE (							__snake_case )				->						bytes:





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

       _UpperCAmelCase							=    format(UpperCamelCase__   ,      """08x""" )[-8:]
       _UpperCAmelCase							=    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       _SCREAMING_SNAKE_CASE (							__snake_case )				->						bytes:
       _UpperCAmelCase							=    b''''''
       for char in message:
              bit_string += format(UpperCamelCase__   ,      """08b""" ).encode("""utf-8""" )
       _UpperCAmelCase							=    format(len(UpperCamelCase__ )   ,      """064b""" ).encode("""utf-8""" )

       # Pad bit_string to a multiple of 512 chars
       bit_string += b"1"
       while len(UpperCamelCase__ ) % 5_1_2 != 4_4_8:
              bit_string += b"0"
       bit_string += to_little_endian(start_len[3_2:] ) + to_little_endian(start_len[:3_2] )

       return bit_string




def       _SCREAMING_SNAKE_CASE (							__snake_case )				->						Generator[list[int], None, None]:





       if len(UpperCamelCase__ ) % 5_1_2 != 0:
              raise ValueError("""Input must have length that\'s a multiple of 512""" )

       for pos in range(0   ,      len(UpperCamelCase__ )   ,      5_1_2 ):
              _UpperCAmelCase							=    bit_string[pos : pos + 5_1_2]
              _UpperCAmelCase							=    []
              for i in range(0   ,      5_1_2   ,      3_2 ):
                     block_words.append(int(to_little_endian(block[i : i + 3_2] )   ,      2 ) )
              yield block_words




def       _SCREAMING_SNAKE_CASE (							__snake_case )				->						int:





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

       _UpperCAmelCase							=    format(UpperCamelCase__   ,      """032b""" )
       _UpperCAmelCase							=    ''''''
       for c in i_str:
              new_str += "1" if c == "0" else "0"
       return int(UpperCamelCase__   ,      2 )




def       _SCREAMING_SNAKE_CASE (							__snake_case   ,      __snake_case )				->						int:
       return (a + b) % 2**3_2




def       _SCREAMING_SNAKE_CASE (							__snake_case   ,      __snake_case )				->						int:





       if i < 0:
              raise ValueError("""Input must be non-negative""" )
       if shift < 0:
              raise ValueError("""Shift must be non-negative""" )
       return ((i << shift) ^ (i >> (3_2 - shift))) % 2**3_2




def       _SCREAMING_SNAKE_CASE (							__snake_case )				->						bytes:
       _UpperCAmelCase							=    preprocess(UpperCamelCase__ )

       _UpperCAmelCase							=    [int(2**3_2 * abs(sin(i + 1 ) ) ) for i in range(6_4 )]

       # Starting states
       _UpperCAmelCase							=    0x6745_2301
       _UpperCAmelCase							=    0xEFCD_AB89
       _UpperCAmelCase							=    0x98BA_DCFE
       _UpperCAmelCase							=    0x1032_5476

       _UpperCAmelCase							=    [
           7,
           1_2,
           1_7,
           2_2,
           7,
           1_2,
           1_7,
           2_2,
           7,
           1_2,
           1_7,
           2_2,
           7,
           1_2,
           1_7,
           2_2,
           5,
           9,
           1_4,
           2_0,
           5,
           9,
           1_4,
           2_0,
           5,
           9,
           1_4,
           2_0,
           5,
           9,
           1_4,
           2_0,
           4,
           1_1,
           1_6,
           2_3,
           4,
           1_1,
           1_6,
           2_3,
           4,
           1_1,
           1_6,
           2_3,
           4,
           1_1,
           1_6,
           2_3,
           6,
           1_0,
           1_5,
           2_1,
           6,
           1_0,
           1_5,
           2_1,
           6,
           1_0,
           1_5,
           2_1,
           6,
           1_0,
           1_5,
           2_1,
       ]

       # Process bit string in chunks, each with 16 32-char words
       for block_words in get_block_words(UpperCamelCase__ ):
              _UpperCAmelCase							=    aa
              _UpperCAmelCase							=    ba
              _UpperCAmelCase							=    ca
              _UpperCAmelCase							=    da

              # Hash current chunk
              for i in range(6_4 ):
                     if i <= 1_5:
                            # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                            _UpperCAmelCase							=    d ^ (b & (c ^ d))
                            _UpperCAmelCase							=    i
                     elif i <= 3_1:
                            # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                            _UpperCAmelCase							=    c ^ (d & (b ^ c))
                            _UpperCAmelCase							=    (5 * i + 1) % 1_6
                     elif i <= 4_7:
                            _UpperCAmelCase							=    b ^ c ^ d
                            _UpperCAmelCase							=    (3 * i + 5) % 1_6
                     else:
                            _UpperCAmelCase							=    c ^ (b | not_aa(UpperCamelCase__ ))
                            _UpperCAmelCase							=    (7 * i) % 1_6
                     _UpperCAmelCase							=    (f + a + added_consts[i] + block_words[g]) % 2**3_2
                     _UpperCAmelCase							=    d
                     _UpperCAmelCase							=    c
                     _UpperCAmelCase							=    b
                     _UpperCAmelCase							=    sum_aa(UpperCamelCase__   ,      left_rotate_aa(UpperCamelCase__   ,      shift_amounts[i] ) )

              # Add hashed chunk to running total
              _UpperCAmelCase							=    sum_aa(UpperCamelCase__   ,      UpperCamelCase__ )
              _UpperCAmelCase							=    sum_aa(UpperCamelCase__   ,      UpperCamelCase__ )
              _UpperCAmelCase							=    sum_aa(UpperCamelCase__   ,      UpperCamelCase__ )
              _UpperCAmelCase							=    sum_aa(UpperCamelCase__   ,      UpperCamelCase__ )

       _UpperCAmelCase							=    reformat_hex(UpperCamelCase__ ) + reformat_hex(UpperCamelCase__ ) + reformat_hex(UpperCamelCase__ ) + reformat_hex(UpperCamelCase__ )
       return digest


if __name__ == "__main__":
  import doctest

  doctest.testmod()






import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict





@dataclass
class 				a			(      __lowercase			):
				SCREAMING_SNAKE_CASE__     :   Any		      =     ComputeEnvironment.AMAZON_SAGEMAKER
				SCREAMING_SNAKE_CASE__     :   Optional[int]		      =     True
				SCREAMING_SNAKE_CASE__     :   int		      =     '''ml.p3.2xlarge'''
				SCREAMING_SNAKE_CASE__     :   Union[str, Any]		      =     '''accelerate_sagemaker_execution_role'''
				SCREAMING_SNAKE_CASE__     :   List[Any]		      =     '''hf-sm'''
				SCREAMING_SNAKE_CASE__     :   Any		      =     '''us-east-1'''
				SCREAMING_SNAKE_CASE__     :   Any		      =     1
				SCREAMING_SNAKE_CASE__     :   Dict		      =     '''accelerate-sagemaker-1'''
				SCREAMING_SNAKE_CASE__     :   Dict		      =     '''1.6'''
				SCREAMING_SNAKE_CASE__     :   int		      =     '''4.4'''
				SCREAMING_SNAKE_CASE__     :   int		      =     '''train.py'''
				SCREAMING_SNAKE_CASE__     :   Tuple		      =     [
				    '''--model_name_or_path''',
				    '''bert''',
				    '''--do_train''',
				    '''False''',
				    '''--epochs''',
				    '''3''',
				    '''--learning_rate''',
				    '''5e-5''',
				    '''--max_steps''',
				    '''50.5''',
				]
				SCREAMING_SNAKE_CASE__     :   List[str]		      =     [
				    '''--model_name_or_path''',
				    '''bert''',
				    '''--do_train''',
				    '''--do_test''',
				    '''False''',
				    '''--do_predict''',
				    '''--epochs''',
				    '''3''',
				    '''--learning_rate''',
				    '''5e-5''',
				    '''--max_steps''',
				    '''50.5''',
				]





class 				a			(      unittest.TestCase			):






				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args					)
										assert isinstance(converted_args['''model_name_or_path''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''do_train''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''epochs''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''learning_rate''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''max_steps''']			, _lowerCAmelCase					)

										with pytest.raises(_lowerCAmelCase					):
																_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args					)



