

'''simple docstring'''
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


_lowerCamelCase      					=     logging.get_logger(__name__)

_lowerCamelCase      					=     {
    """t5-small""": """https://huggingface.co/t5-small/resolve/main/config.json""",
    """t5-base""": """https://huggingface.co/t5-base/resolve/main/config.json""",
    """t5-large""": """https://huggingface.co/t5-large/resolve/main/config.json""",
    """t5-3b""": """https://huggingface.co/t5-3b/resolve/main/config.json""",
    """t5-11b""": """https://huggingface.co/t5-11b/resolve/main/config.json""",
}
class 					_snake_case		(__SCREAMING_SNAKE_CASE):
			__A  :	List[Any]        ="t5"
			__A  :	List[Any]        =["past_key_values"]
			__A  :	int        ={"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}






			def __init__(  self			,_snake_case=3_21_28			,_snake_case=5_12			,_snake_case=64			,_snake_case=20_48			,_snake_case=6			,_snake_case=None			,_snake_case=8			,_snake_case=32			,_snake_case=1_28			,_snake_case=0.1			,_snake_case=1E-6			,_snake_case=1.0			,_snake_case="relu"			,_snake_case=True			,_snake_case=True			,_snake_case=0			,_snake_case=1			,**_snake_case			,):
				UpperCAmelCase_     :      int						=  vocab_size
				UpperCAmelCase_     :      str						=  d_model
				UpperCAmelCase_     :      Any						=  d_kv
				UpperCAmelCase_     :      Any						=  d_ff
				UpperCAmelCase_     :      str						=  num_layers
				UpperCAmelCase_     :      List[Any]						=  (
				    num_decoder_layers if num_decoder_layers is not None else self.num_layers
				)  # default = symmetry
				UpperCAmelCase_     :      Optional[int]						=  num_heads
				UpperCAmelCase_     :      List[str]						=  relative_attention_num_buckets
				UpperCAmelCase_     :      int						=  relative_attention_max_distance
				UpperCAmelCase_     :      Union[str, Any]						=  dropout_rate
				UpperCAmelCase_     :      Optional[Any]						=  layer_norm_epsilon
				UpperCAmelCase_     :      Any						=  initializer_factor
				UpperCAmelCase_     :      List[Any]						=  feed_forward_proj
				UpperCAmelCase_     :      List[str]						=  use_cache

				UpperCAmelCase_     :      Any						=  self.feed_forward_proj.split("-"     )
				UpperCAmelCase_     :      Union[str, Any]						=  act_info[-1]
				UpperCAmelCase_     :      str						=  act_info[0] == "gated"

				if len(_snake_case     ) > 1 and act_info[0] != "gated" or len(_snake_case     ) > 2:
					raise ValueError(
					    f'''`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'''
					    "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
					    "'gated-gelu' or 'relu'"     )

				# for backwards compatibility
				if feed_forward_proj == "gated-gelu":
					UpperCAmelCase_     :      Any						=  "gelu_new"

				super().__init__(
				    pad_token_id=_snake_case			,eos_token_id=_snake_case			,is_encoder_decoder=_snake_case			,**_snake_case			,)




class 					_snake_case		(__SCREAMING_SNAKE_CASE):






			@property
			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Tuple						=  {
				    "input_ids": {0: "batch", 1: "encoder_sequence"},
				    "attention_mask": {0: "batch", 1: "encoder_sequence"},
				}
				if self.use_past:
					UpperCAmelCase_     :      Union[str, Any]						=  "past_encoder_sequence + sequence"
					UpperCAmelCase_     :      Any						=  {0: "batch"}
					UpperCAmelCase_     :      Dict						=  {0: "batch", 1: "past_decoder_sequence + sequence"}
				else:
					UpperCAmelCase_     :      List[Any]						=  {0: "batch", 1: "decoder_sequence"}
					UpperCAmelCase_     :      List[Any]						=  {0: "batch", 1: "decoder_sequence"}

				if self.use_past:
					self.fill_with_past_key_values_(_snake_case			,direction="inputs"     )

				return common_inputs






			@property
			def 		UpperCamelCase__							(  self     ):
				return 13








from collections.abc import Generator
from math import sin






def 		_A		(		_lowercase )					-> bytes:


     """simple docstring"""


     if len(_lowercase ) != 32:
          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 		_A		(		_lowercase )					-> bytes:


     """simple docstring"""


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

     __UpperCamelCase =			format(_lowercase					,  '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 		_A		(		_lowercase )					-> bytes:


     """simple docstring"""


     __UpperCamelCase =			B''
     for char in message:
          bit_string += format(_lowercase					,  '08b' ).encode('utf-8' )
     __UpperCamelCase =			format(len(_lowercase )					,  '064b' ).encode('utf-8' )

     # Pad bit_string to a multiple of 512 chars
     bit_string += b"1"
     while len(_lowercase ) % 5_12 != 4_48:
          bit_string += b"0"
     bit_string += to_little_endian(start_len[32:] ) + to_little_endian(start_len[:32] )

     return bit_string






def 		_A		(		_lowercase )					-> Generator[list[int], None, None]:


     """simple docstring"""


     if len(_lowercase ) % 5_12 != 0:
          raise ValueError('Input must have length that\'s a multiple of 512' )

     for pos in range(0					,  len(_lowercase )					,  5_12 ):
          __UpperCamelCase =			bit_string[pos : pos + 5_12]
          __UpperCamelCase =			[]
          for i in range(0					,  5_12					,  32 ):
               block_words.append(int(to_little_endian(block[i : i + 32] )					,  2 ) )
          yield block_words






def 		_A		(		_lowercase )					-> int:


     """simple docstring"""


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

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






def 		_A		(		_lowercase					,  _lowercase )					-> int:


     """simple docstring"""


     return (a + b) % 2**32






def 		_A		(		_lowercase					,  _lowercase )					-> 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		(		_lowercase )					-> bytes:


     """simple docstring"""


     __UpperCamelCase =			preprocess(_lowercase )

     __UpperCamelCase =			[int(2**32 * abs(sin(i + 1 ) ) ) for i in range(64 )]

     # Starting states
     __UpperCamelCase =			0X67_45_23_01
     __UpperCamelCase =			0Xef_cd_ab_89
     __UpperCamelCase =			0X98_ba_dc_fe
     __UpperCamelCase =			0X10_32_54_76

     __UpperCamelCase =			[
         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(_lowercase ):
          __UpperCamelCase =			aa
          __UpperCamelCase =			ba
          __UpperCamelCase =			ca
          __UpperCamelCase =			da

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

          # Add hashed chunk to running total
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )

     __UpperCamelCase =			reformat_hex(_lowercase ) + reformat_hex(_lowercase ) + reformat_hex(_lowercase ) + reformat_hex(_lowercase )
     return digest


if __name__ == "__main__":
    import doctest

    doctest.testmod()


