


'''simple docstring'''


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation


lowerCamelCase__					=   logging.get_logger(__name__)

lowerCamelCase__					=   {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCamelCase__					=   {
    '''tokenizer_file''': {
        '''EleutherAI/gpt-neox-20b''': '''https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json''',
    },
}

lowerCamelCase__					=   {
    '''gpt-neox-20b''': 2_048,
}






class 		lowerCAmelCase__	(	lowerCamelCase__		):
			lowerCAmelCase       :		List[str]				      =   VOCAB_FILES_NAMES
			lowerCAmelCase       :		List[str]				      =   PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase       :		Optional[Any]				      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase       :		List[str]				      =   ['''input_ids''', '''attention_mask''']




			def __init__(						self     :   Optional[int]		,     lowerCamelCase__     :   Union[str, Any]=None		,     lowerCamelCase__     :   List[str]=None		,     lowerCamelCase__     :   List[str]=None		,     lowerCamelCase__     :   List[Any]="<|endoftext|>"		,     lowerCamelCase__     :   Optional[int]="<|endoftext|>"		,     lowerCamelCase__     :   int="<|endoftext|>"		,     lowerCamelCase__     :   int=False		,     **lowerCamelCase__     :   List[Any]		,     )      ->int:



					'''simple docstring'''







					super().__init__(
					    lowerCAmelCase__		,     lowerCAmelCase__		,     tokenizer_file=lowerCAmelCase__		,     unk_token=lowerCAmelCase__		,     bos_token=lowerCAmelCase__		,     eos_token=lowerCAmelCase__		,     add_prefix_space=lowerCAmelCase__		,     **lowerCAmelCase__		,     )

					_UpperCAmelCase						:				Optional[Any]	    =					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
					if pre_tok_state.get("add_prefix_space"		,     lowerCAmelCase__       ) != add_prefix_space:
							_UpperCAmelCase						:				Optional[int]	    =					getattr(lowerCAmelCase__		,     pre_tok_state.pop("type"       )       )
							_UpperCAmelCase						:				str	    =					add_prefix_space
							_UpperCAmelCase						:				Tuple	    =					pre_tok_class(**lowerCAmelCase__       )

					_UpperCAmelCase						:				Optional[int]	    =					add_prefix_space




			def 							lowerCAmelCase__			(						self     :   str		,     lowerCamelCase__     :   str		,     lowerCamelCase__     :   Optional[str] = None       )      ->Optional[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					self._tokenizer.model.save(lowerCAmelCase__		,     name=lowerCAmelCase__       )
					return tuple(lowerCAmelCase__       )






			def 							lowerCAmelCase__			(						self     :   Dict		,     lowerCamelCase__     :   "Conversation"       )      ->Optional[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[Any]	    =					[]
					for is_user, text in conversation.iter_texts():
							input_ids.extend(self.encode(lowerCAmelCase__		,     add_special_tokens=lowerCAmelCase__       ) + [self.eos_token_id]       )

					if len(lowerCAmelCase__       ) > self.model_max_length:
							_UpperCAmelCase						:				str	    =					input_ids[-self.model_max_length :]
					return input_ids








'''simple docstring'''




import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
UpperCamelCase__       :	List[Any]    = {
    '''E''': 1_2.7_0,
    '''T''': 9.0_6,
    '''A''': 8.1_7,
    '''O''': 7.5_1,
    '''I''': 6.9_7,
    '''N''': 6.7_5,
    '''S''': 6.3_3,
    '''H''': 6.0_9,
    '''R''': 5.9_9,
    '''D''': 4.2_5,
    '''L''': 4.0_3,
    '''C''': 2.7_8,
    '''U''': 2.7_6,
    '''M''': 2.4_1,
    '''W''': 2.3_6,
    '''F''': 2.2_3,
    '''G''': 2.0_2,
    '''Y''': 1.9_7,
    '''P''': 1.9_3,
    '''B''': 1.2_9,
    '''V''': 0.9_8,
    '''K''': 0.7_7,
    '''J''': 0.1_5,
    '''X''': 0.1_5,
    '''Q''': 0.1_0,
    '''Z''': 0.0_7,
}
UpperCamelCase__       :	Optional[Any]    = '''ETAOINSHRDLCUMWFGYPBVKJXQZ'''
UpperCamelCase__       :	Dict    = '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''


def 				lowerCAmelCase_   (	_lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		int           =		{letter: 0 for letter in string.ascii_uppercase}
		for letter in message.upper():
				if letter in LETTERS:
						letter_count[letter] += 1

		return letter_count


def 				lowerCAmelCase_   (	_lowerCamelCase:   tuple					):
		return x[0]


def 				lowerCAmelCase_   (	_lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		Dict           =		get_letter_count(_lowerCamelCase					)
		__SCREAMING_SNAKE_CASE       :		dict[int, list[str]]           =		{
		    freq: [] for letter, freq in letter_to_freq.items()
		}
		for letter in LETTERS:
				freq_to_letter[letter_to_freq[letter]].append(_lowerCamelCase					)

		__SCREAMING_SNAKE_CASE       :		dict[int, str]           =		{}

		for freq in freq_to_letter:
				freq_to_letter[freq].sort(key=ETAOIN.find       ,      reverse=_lowerCamelCase					)
				__SCREAMING_SNAKE_CASE       :		Tuple           =		"""""".join(freq_to_letter[freq]					)

		__SCREAMING_SNAKE_CASE       :		str           =		list(freq_to_letter_str.items()					)
		freq_pairs.sort(key=_lowerCamelCase       ,      reverse=_lowerCamelCase					)

		__SCREAMING_SNAKE_CASE       :		list[str]           =		[freq_pair[1] for freq_pair in freq_pairs]

		return "".join(_lowerCamelCase					)


def 				lowerCAmelCase_   (	_lowerCamelCase:   str					):
		__SCREAMING_SNAKE_CASE       :		List[Any]           =		get_frequency_order(_lowerCamelCase					)
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		0
		for common_letter in ETAOIN[:6]:
				if common_letter in freq_order[:6]:
						match_score += 1

		for uncommon_letter in ETAOIN[-6:]:
				if uncommon_letter in freq_order[-6:]:
						match_score += 1

		return match_score


if __name__ == "__main__":
						import doctest

						doctest.testmod()