

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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
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"}

lowerCamelCase   					=  {
    "vocab_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt"
        ),
    },
}

lowerCamelCase   					=  {
    "microsoft/deberta-base": 5_1_2,
    "microsoft/deberta-large": 5_1_2,
    "microsoft/deberta-xlarge": 5_1_2,
    "microsoft/deberta-base-mnli": 5_1_2,
    "microsoft/deberta-large-mnli": 5_1_2,
    "microsoft/deberta-xlarge-mnli": 5_1_2,
}

lowerCamelCase   					=  {
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}


def 							__lowercase     (	):

					"""simple docstring"""






					__lowerCAmelCase       =				(
					    list(range(ord('!'   )		,       ord('~'   ) + 1   )   ) + list(range(ord('¡'   )		,       ord('¬'   ) + 1   )   ) + list(range(ord('®'   )		,       ord('ÿ'   ) + 1   )   )
					)
					__lowerCAmelCase       =				bs[:]
					__lowerCAmelCase       =				0
					for b in range(2**8   ):
										if b not in bs:
															bs.append(UpperCAmelCase__   )
															cs.append(2**8 + n   )
															n += 1
					__lowerCAmelCase       =				[chr(UpperCAmelCase__   ) for n in cs]
					return dict(zip(UpperCAmelCase__		,       UpperCAmelCase__   )   )


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					__lowerCAmelCase       =				set()
					__lowerCAmelCase       =				word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)   )
										__lowerCAmelCase       =				char
					return pairs





class      snake_case_      (					_a				):


							"""simple docstring"""





							__UpperCAmelCase      =VOCAB_FILES_NAMES
							__UpperCAmelCase      =PRETRAINED_VOCAB_FILES_MAP
							__UpperCAmelCase      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__UpperCAmelCase      =["""input_ids""", """attention_mask""", """token_type_ids"""]




							def __init__(			self       ,    _A       ,    _A       ,    _A="replace"       ,    _A="[CLS]"       ,    _A="[SEP]"       ,    _A="[SEP]"       ,    _A="[CLS]"       ,    _A="[UNK]"       ,    _A="[PAD]"       ,    _A="[MASK]"       ,    _A=False       ,    _A=False       ,    **_A       ,    ):
												__lowerCAmelCase       =				AddedToken(lowerCamelCase_       ,    lstrip=lowerCamelCase_       ,    rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_       ,    lowerCamelCase_				) else bos_token
												__lowerCAmelCase       =				AddedToken(lowerCamelCase_       ,    lstrip=lowerCamelCase_       ,    rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_       ,    lowerCamelCase_				) else eos_token
												__lowerCAmelCase       =				AddedToken(lowerCamelCase_       ,    lstrip=lowerCamelCase_       ,    rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_       ,    lowerCamelCase_				) else sep_token
												__lowerCAmelCase       =				AddedToken(lowerCamelCase_       ,    lstrip=lowerCamelCase_       ,    rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_       ,    lowerCamelCase_				) else cls_token
												__lowerCAmelCase       =				AddedToken(lowerCamelCase_       ,    lstrip=lowerCamelCase_       ,    rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_       ,    lowerCamelCase_				) else unk_token
												__lowerCAmelCase       =				AddedToken(lowerCamelCase_       ,    lstrip=lowerCamelCase_       ,    rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_       ,    lowerCamelCase_				) else pad_token

												# Mask token behave like a normal word, i.e. include the space before it
												__lowerCAmelCase       =				AddedToken(lowerCamelCase_       ,    lstrip=lowerCamelCase_       ,    rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_       ,    lowerCamelCase_				) else mask_token

												super().__init__(
												    errors=lowerCamelCase_       ,    bos_token=lowerCamelCase_       ,    eos_token=lowerCamelCase_       ,    unk_token=lowerCamelCase_       ,    sep_token=lowerCamelCase_       ,    cls_token=lowerCamelCase_       ,    pad_token=lowerCamelCase_       ,    mask_token=lowerCamelCase_       ,    add_prefix_space=lowerCamelCase_       ,    add_bos_token=lowerCamelCase_       ,    **lowerCamelCase_       ,    )
												__lowerCAmelCase       =				add_bos_token

												with open(lowerCamelCase_       ,    encoding='utf-8'				) as vocab_handle:
																	__lowerCAmelCase       =				json.load(lowerCamelCase_				)
												__lowerCAmelCase       =				{v: k for k, v in self.encoder.items()}
												__lowerCAmelCase       =				errors  # how to handle errors in decoding
												__lowerCAmelCase       =				bytes_to_unicode()
												__lowerCAmelCase       =				{v: k for k, v in self.byte_encoder.items()}
												with open(lowerCamelCase_       ,    encoding='utf-8'				) as merges_handle:
																	__lowerCAmelCase       =				merges_handle.read().split('\n'				)[1:-1]
												__lowerCAmelCase       =				[tuple(merge.split()				) for merge in bpe_merges]
												__lowerCAmelCase       =				dict(zip(lowerCamelCase_       ,    range(len(lowerCamelCase_				)				)				)				)
												__lowerCAmelCase       =				{}
												__lowerCAmelCase       =				add_prefix_space

												# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
												__lowerCAmelCase       =				re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'				)




							@property
							# Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
							def 							A__	(			self				):
												return len(self.encoder				)




							def 							A__	(			self				):
												return dict(self.encoder       ,    **self.added_tokens_encoder				)




							def 							A__	(			self       ,    _A				):

												if token in self.cache:
																	return self.cache[token]
												__lowerCAmelCase       =				tuple(lowerCamelCase_				)
												__lowerCAmelCase       =				get_pairs(lowerCamelCase_				)

												if not pairs:
																	return token

												while True:
																	__lowerCAmelCase       =				min(lowerCamelCase_       ,    key=lambda _A				: self.bpe_ranks.get(lowerCamelCase_       ,    float('inf'				)				)				)
																	if bigram not in self.bpe_ranks:
																						break
																	__lowerCAmelCase,						__lowerCAmelCase       =				bigram
																	__lowerCAmelCase       =				[]
																	__lowerCAmelCase       =				0
																	while i < len(lowerCamelCase_				):
																						try:
																											__lowerCAmelCase       =				word.index(lowerCamelCase_       ,    lowerCamelCase_				)
																						except ValueError:
																											new_word.extend(word[i:]				)
																											break
																						else:
																											new_word.extend(word[i:j]				)
																											__lowerCAmelCase       =				j

																						if word[i] == first and i < len(lowerCamelCase_				) - 1 and word[i + 1] == second:
																											new_word.append(first + second				)
																											i += 2
																						else:
																											new_word.append(word[i]				)
																											i += 1
																	__lowerCAmelCase       =				tuple(lowerCamelCase_				)
																	__lowerCAmelCase       =				new_word
																	if len(lowerCamelCase_				) == 1:
																						break
																	else:
																						__lowerCAmelCase       =				get_pairs(lowerCamelCase_				)
												__lowerCAmelCase       =				' '.join(lowerCamelCase_				)
												__lowerCAmelCase       =				word
												return word




							def 							A__	(			self       ,    _A       ,    _A = None				):

												if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												__lowerCAmelCase       =				[self.cls_token_id]
												__lowerCAmelCase       =				[self.sep_token_id]
												return cls + token_ids_a + sep + token_ids_a + sep




							def 							A__	(			self       ,    _A       ,    _A = None       ,    _A = False				):

												if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=lowerCamelCase_       ,    token_ids_a=lowerCamelCase_       ,    already_has_special_tokens=lowerCamelCase_				)

												if token_ids_a is None:
																	return [1] + ([0] * len(lowerCamelCase_				)) + [1]
												return [1] + ([0] * len(lowerCamelCase_				)) + [1] + ([0] * len(lowerCamelCase_				)) + [1]




							def 							A__	(			self       ,    _A       ,    _A = None				):
												__lowerCAmelCase       =				[self.sep_token_id]
												__lowerCAmelCase       =				[self.cls_token_id]

												if token_ids_a is None:
																	return len(cls + token_ids_a + sep				) * [0]
												return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				[]
												for token in re.findall(self.pat       ,    lowerCamelCase_				):
																	__lowerCAmelCase       =				''.join(
																	    self.byte_encoder[b] for b in token.encode('utf-8'				)				)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
																	bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCamelCase_				).split(' '				)				)
												return bpe_tokens




							def 							A__	(			self       ,    _A				):
												return self.encoder.get(lowerCamelCase_       ,    self.encoder.get(self.unk_token				)				)




							def 							A__	(			self       ,    _A				):
												return self.decoder.get(lowerCamelCase_				)




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				''.join(lowerCamelCase_				)
												__lowerCAmelCase       =				bytearray([self.byte_decoder[c] for c in text]				).decode('utf-8'       ,    errors=self.errors				)
												return text




							def 							A__	(			self       ,    _A       ,    _A = None				):

												if not os.path.isdir(lowerCamelCase_				):
																	logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""				)
																	return
												__lowerCAmelCase       =				os.path.join(
												    lowerCamelCase_       ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)
												__lowerCAmelCase       =				os.path.join(
												    lowerCamelCase_       ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']				)

												with open(lowerCamelCase_       ,    'w'       ,    encoding='utf-8'				) as f:
																	f.write(json.dumps(self.encoder       ,    indent=2       ,    sort_keys=lowerCamelCase_       ,    ensure_ascii=lowerCamelCase_				) + '\n'				)

												__lowerCAmelCase       =				0
												with open(lowerCamelCase_       ,    'w'       ,    encoding='utf-8'				) as writer:
																	writer.write('#version: 0.2\n'				)
																	for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,    key=lambda _A				: kv[1]				):
																						if index != token_index:
																											logger.warning(
																											    F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
																											    ' Please check that the tokenizer is not corrupted!'				)
																											__lowerCAmelCase       =				token_index
																						writer.write(' '.join(lowerCamelCase_				) + '\n'				)
																						index += 1

												return vocab_file, merge_file




							def 							A__	(			self       ,    _A       ,    _A=False       ,    **_A				):
												__lowerCAmelCase       =				kwargs.pop('add_prefix_space'       ,    self.add_prefix_space				)
												if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase_				) > 0 and not text[0].isspace()):
																	__lowerCAmelCase       =				' ' + text
												return (text, kwargs)




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				[]
												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:
																	__lowerCAmelCase       =				input_ids[-self.model_max_length :]
												return input_ids











def        a( A			:       int					,	A			:       int					,	A			:       int			)						->			float:
					"""simple docstring"""





					if common_ratio == 1:
										# Formula for sum if common ratio is 1
										return num_of_terms * first_term

					# Formula for finding sum of n terms of a GeometricProgression
					return (first_term / (1 - common_ratio)) * (1 - common_ratio**num_of_terms)
