




"""simple docstring"""






from __future__ import annotations

from typing import TypedDict






class lowerCAmelCase__      (	lowercase		):






			'''simple docstring'''



			lowerCamelCase__ =     42
			lowerCamelCase__ =     42







def 	_snake_case     (							lowercase__						):
				if not isinstance(lowercase__				,       lowercase__						):
								raise TypeError('The parameter s type must be str.'						)

				return [s[i:] + s[:i] for i in range(len(lowercase__						)						)]







def 	_snake_case     (							lowercase__						):
				if not isinstance(lowercase__				,       lowercase__						):
								raise TypeError('The parameter s type must be str.'						)
				if not s:
								raise ValueError('The parameter s must not be empty.'						)

				_lowerCamelCase	:     Any       =       all_rotations(lowercase__						)
				rotations.sort()  # sort the list of rotations in alphabetically order
				# make a string composed of the last char of each rotation
				_lowerCamelCase	:     BWTTransformDict       =       {
				    "bwt_string": "".join([word[-1] for word in rotations]						),
				    "idx_original_string": rotations.index(lowercase__						),
				}
				return response







def 	_snake_case     (							lowercase__				,       lowercase__						):
				if not isinstance(lowercase__				,       lowercase__						):
								raise TypeError('The parameter bwt_string type must be str.'						)
				if not bwt_string:
								raise ValueError('The parameter bwt_string must not be empty.'						)
				try:
								_lowerCamelCase	:     int       =       int(lowercase__						)
				except ValueError:
								raise TypeError(
								    'The parameter idx_original_string type must be int or passive'
								    ' of cast to int.'						)
				if idx_original_string < 0:
								raise ValueError('The parameter idx_original_string must not be lower than 0.'						)
				if idx_original_string >= len(lowercase__						):
								raise ValueError(
								    'The parameter idx_original_string must be lower than' ' len(bwt_string).'						)

				_lowerCamelCase	:     Union[str, Any]       =       [''] * len(lowercase__						)
				for _ in range(len(lowercase__						)						):
								for i in range(len(lowercase__						)						):
												_lowerCamelCase	:     str       =       bwt_string[i] + ordered_rotations[i]
								ordered_rotations.sort()
				return ordered_rotations[idx_original_string]


if __name__ == "__main__":
			lowercase__			=		"""Provide a string that I will generate its BWT transform: """
			lowercase__			=		input(entry_msg).strip()
			lowercase__			=		bwt_transform(s)
			print(
			    F"Burrows Wheeler transform for string '{s}' results "
			    F"in '{result['bwt_string']}'"
			)
			lowercase__			=		reverse_bwt(result["""bwt_string"""], result["""idx_original_string"""])
			print(
			    F"Reversing Burrows Wheeler transform for entry '{result['bwt_string']}' "
			    F"we get original string '{original_string}'"
			)





"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__			=		logging.get_logger(__name__)

lowercase__			=		{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}






class lowerCAmelCase__      (	lowercase		):






			'''simple docstring'''



			lowerCamelCase__ =     """openai-gpt"""
			lowerCamelCase__ =     {
			    """max_position_embeddings""": """n_positions""",
			    """hidden_size""": """n_embd""",
			    """num_attention_heads""": """n_head""",
			    """num_hidden_layers""": """n_layer""",
			}
			def __init__(    self    , lowercase=40478    , lowercase=512    , lowercase=768    , lowercase=12    , lowercase=12    , lowercase="gelu"    , lowercase=0.1    , lowercase=0.1    , lowercase=0.1    , lowercase=1E-5    , lowercase=0.02    , lowercase="cls_index"    , lowercase=True    , lowercase=None    , lowercase=True    , lowercase=0.1    , **lowercase    , ):
							_lowerCamelCase	:     Tuple       =       vocab_size
							_lowerCamelCase	:     List[str]       =       n_positions
							_lowerCamelCase	:     Tuple       =       n_embd
							_lowerCamelCase	:     Optional[int]       =       n_layer
							_lowerCamelCase	:     List[Any]       =       n_head
							_lowerCamelCase	:     Dict       =       afn
							_lowerCamelCase	:     Union[str, Any]       =       resid_pdrop
							_lowerCamelCase	:     Dict       =       embd_pdrop
							_lowerCamelCase	:     List[Any]       =       attn_pdrop
							_lowerCamelCase	:     Any       =       layer_norm_epsilon
							_lowerCamelCase	:     List[Any]       =       initializer_range
							_lowerCamelCase	:     List[Any]       =       summary_type
							_lowerCamelCase	:     List[str]       =       summary_use_proj
							_lowerCamelCase	:     Tuple       =       summary_activation
							_lowerCamelCase	:     int       =       summary_first_dropout
							_lowerCamelCase	:     str       =       summary_proj_to_labels
							super().__init__(**lowercase    )