



'''simple docstring'''





import math
from typing import Union

import torch

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import randn_tensor
from .scheduling_utils import SchedulerMixin

class 					_A (			UpperCAmelCase__   ,UpperCAmelCase__					):
       UpperCamelCase__						:					Tuple		      =		1



       @register_to_config
       def __init__(	self							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  List[str]=2_000  ,	__SCREAMING_SNAKE_CASE							:  List[Any]=0.1  ,	__SCREAMING_SNAKE_CASE							:  List[str]=20  ,	__SCREAMING_SNAKE_CASE							:  Any=1E-3):


           '''simple docstring'''

           __a		 =       None
           __a		 =       None
           __a		 =       None



       def 	_lowerCamelCase    (	self							:  Dict  ,	__SCREAMING_SNAKE_CASE							:  Optional[int]  ,	__SCREAMING_SNAKE_CASE							:  Union[str, torch.device] = None):


           '''simple docstring'''

           __a		 =       torch.linspace(1  ,	self.config.sampling_eps  ,	__SCREAMING_SNAKE_CASE  ,	device=__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  Optional[Any]  ,	__SCREAMING_SNAKE_CASE							:  Union[str, Any]  ,	__SCREAMING_SNAKE_CASE							:  Dict  ,	__SCREAMING_SNAKE_CASE							:  List[str]  ,	__SCREAMING_SNAKE_CASE							:  Union[str, Any]=None):


           '''simple docstring'''

           if self.timesteps is None:
               raise ValueError(
                   '''`self.timesteps` is not set, you need to run \'set_timesteps\' after creating the scheduler''')

           # TODO(Patrick) better comments + non-PyTorch
           # postprocess model score
           __a		 =       (
               -0.25 * t**2 * (self.config.beta_max - self.config.beta_min) - 0.5 * t * self.config.beta_min
           )
           __a		 =       torch.sqrt(1.0 - torch.exp(2.0 * log_mean_coeff))
           __a		 =       std.flatten()
           while len(std.shape) < len(score.shape):
               __a		 =       std.unsqueeze(-1)
           __a		 =       -score / std

           # compute
           __a		 =       -1.0 / len(self.timesteps)

           __a		 =       self.config.beta_min + t * (self.config.beta_max - self.config.beta_min)
           __a		 =       beta_t.flatten()
           while len(beta_t.shape) < len(x.shape):
               __a		 =       beta_t.unsqueeze(-1)
           __a		 =       -0.5 * beta_t * x

           __a		 =       torch.sqrt(__SCREAMING_SNAKE_CASE)
           __a		 =       drift - diffusion**2 * score
           __a		 =       x + drift * dt

           # add noise
           __a		 =       randn_tensor(x.shape  ,	layout=x.layout  ,	generator=__SCREAMING_SNAKE_CASE  ,	device=x.device  ,	dtype=x.dtype)
           __a		 =       x_mean + diffusion * math.sqrt(-dt) * noise

           return x, x_mean





       def __len__(	self							:  Tuple):


           '''simple docstring'''

           return self.config.num_train_timesteps










from collections.abc import Generator
from math import sin





def   __snake_case			(    _UpperCAmelCase       ):
    if len(_UpperCAmelCase       ) != 32:
        raise ValueError('''Input must be of length 32'''       )

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





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

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

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

    return bit_string





def   __snake_case			(    _UpperCAmelCase       ):
    if len(_UpperCAmelCase       ) % 512 != 0:
        raise ValueError('''Input must have length that\'s a multiple of 512'''       )

    for pos in range(0     ,				len(_UpperCAmelCase       )     ,				512       ):
        __a		 =       bit_string[pos : pos + 512]
        __a		 =       []
        for i in range(0     ,				512     ,				32       ):
            block_words.append(int(to_little_endian(block[i : i + 32]       )     ,				2       )       )
        yield block_words





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

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





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase       ):
    return (a + b) % 2**32





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase       ):
    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   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       preprocess(_UpperCAmelCase       )

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

    # Starting states
    __a		 =       0X67_452_301
    __a		 =       0Xef_cda_b89
    __a		 =       0X98_bad_cfe
    __a		 =       0X10_325_476

    __a		 =       [
        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(_UpperCAmelCase       ):
        __a		 =       aa
        __a		 =       ba
        __a		 =       ca
        __a		 =       da

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

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

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


if __name__ == "__main__":
 import doctest

 doctest.testmod()





