


"""simple docstring"""







import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__a			 =   logging.get_logger(__name__)

__a			 =   {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

__a			 =   {
    "vocab_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/vocab.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/vocab.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/vocab.json",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/merges.txt",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/merges.txt",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/merges.txt",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"
        ),
    },
}

__a			 =   {
    "roberta-base": 5_12,
    "roberta-large": 5_12,
    "roberta-large-mnli": 5_12,
    "distilroberta-base": 5_12,
    "roberta-base-openai-detector": 5_12,
    "roberta-large-openai-detector": 5_12,
}






@lru_cache()
def 					a__ (       ):





						"""simple docstring"""

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






def 					a__ (       _UpperCamelCase ):





						"""simple docstring"""

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


class 							lowerCamelCase       (			__SCREAMING_SNAKE_CASE ):


							"""simple docstring"""
							SCREAMING_SNAKE_CASE										=      VOCAB_FILES_NAMES
							SCREAMING_SNAKE_CASE										=      PRETRAINED_VOCAB_FILES_MAP
							SCREAMING_SNAKE_CASE										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							SCREAMING_SNAKE_CASE										=      ["""input_ids""", """attention_mask"""]






							def __init__(						self :     List[str]		, lowerCamelCase_ :     Tuple		, lowerCamelCase_ :     Any		, lowerCamelCase_ :     int="replace"		, lowerCamelCase_ :     List[Any]="<s>"		, lowerCamelCase_ :     List[str]="</s>"		, lowerCamelCase_ :     int="</s>"		, lowerCamelCase_ :     Tuple="<s>"		, lowerCamelCase_ :     Optional[Any]="<unk>"		, lowerCamelCase_ :     str="<pad>"		, lowerCamelCase_ :     Optional[int]="<mask>"		, lowerCamelCase_ :     Optional[Any]=False		, **lowerCamelCase_ :     Tuple		, ):
													UpperCAmelCase__		=    AddedToken(lowerCamelCase_		, lstrip=lowerCamelCase_		, rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_		, lowerCamelCase_				) else bos_token
													UpperCAmelCase__		=    AddedToken(lowerCamelCase_		, lstrip=lowerCamelCase_		, rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_		, lowerCamelCase_				) else eos_token
													UpperCAmelCase__		=    AddedToken(lowerCamelCase_		, lstrip=lowerCamelCase_		, rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_		, lowerCamelCase_				) else sep_token
													UpperCAmelCase__		=    AddedToken(lowerCamelCase_		, lstrip=lowerCamelCase_		, rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_		, lowerCamelCase_				) else cls_token
													UpperCAmelCase__		=    AddedToken(lowerCamelCase_		, lstrip=lowerCamelCase_		, rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_		, lowerCamelCase_				) else unk_token
													UpperCAmelCase__		=    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
													UpperCAmelCase__		=    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_		, **lowerCamelCase_		, )

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

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






							@property
							def 					lowerCAmelCase     (						self :     Dict				):
													return len(self.encoder				)






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






							def 					lowerCAmelCase     (						self :     str		, lowerCamelCase_ :     List[Any]				):
													if token in self.cache:
																			return self.cache[token]
													UpperCAmelCase__		=    tuple(lowerCamelCase_				)
													UpperCAmelCase__		=    get_pairs(lowerCamelCase_				)

													if not pairs:
																			return token

													while True:
																			UpperCAmelCase__		=    min(lowerCamelCase_		, key=lambda lowerCamelCase_				: self.bpe_ranks.get(lowerCamelCase_		, float('''inf'''				)				)				)
																			if bigram not in self.bpe_ranks:
																									break
																			UpperCAmelCase__	,				UpperCAmelCase__		=    bigram
																			UpperCAmelCase__		=    []
																			UpperCAmelCase__		=    0
																			while i < len(lowerCamelCase_				):
																									try:
																															UpperCAmelCase__		=    word.index(lowerCamelCase_		, lowerCamelCase_				)
																									except ValueError:
																															new_word.extend(word[i:]				)
																															break
																									else:
																															new_word.extend(word[i:j]				)
																															UpperCAmelCase__		=    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
																			UpperCAmelCase__		=    tuple(lowerCamelCase_				)
																			UpperCAmelCase__		=    new_word
																			if len(lowerCamelCase_				) == 1:
																									break
																			else:
																									UpperCAmelCase__		=    get_pairs(lowerCamelCase_				)
													UpperCAmelCase__		=    ''' '''.join(lowerCamelCase_				)
													UpperCAmelCase__		=    word
													return word






							def 					lowerCAmelCase     (						self :     int		, lowerCamelCase_ :     str				):
													UpperCAmelCase__		=    []
													for token in re.findall(self.pat		, lowerCamelCase_				):
																			UpperCAmelCase__		=    ''''''.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 					lowerCAmelCase     (						self :     Tuple		, lowerCamelCase_ :     str				):
													return self.encoder.get(lowerCamelCase_		, self.encoder.get(self.unk_token				)				)






							def 					lowerCAmelCase     (						self :     str		, lowerCamelCase_ :     Tuple				):
													return self.decoder.get(lowerCamelCase_				)






							def 					lowerCAmelCase     (						self :     Any		, lowerCamelCase_ :     Optional[Any]				):
													UpperCAmelCase__		=    ''''''.join(lowerCamelCase_				)
													UpperCAmelCase__		=    bytearray([self.byte_decoder[c] for c in text]				).decode('''utf-8'''		, errors=self.errors				)
													return text






							def 					lowerCAmelCase     (						self :     str		, lowerCamelCase_ :     str		, lowerCamelCase_ :     Optional[str] = None				):
													if not os.path.isdir(lowerCamelCase_				):
																			logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
																			return
													UpperCAmelCase__		=    os.path.join(
													    lowerCamelCase_		, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)
													UpperCAmelCase__		=    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'''				)

													UpperCAmelCase__		=    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 lowerCamelCase_				: 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!'''				)
																															UpperCAmelCase__		=    token_index
																									writer.write(''' '''.join(lowerCamelCase_				) + '''\n'''				)
																									index += 1

													return vocab_file, merge_file






							def 					lowerCAmelCase     (						self :     Dict		, lowerCamelCase_ :     List[int]		, lowerCamelCase_ :     Optional[List[int]] = None				):
													if token_ids_a is None:
																			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
													UpperCAmelCase__		=    [self.cls_token_id]
													UpperCAmelCase__		=    [self.sep_token_id]
													return cls + token_ids_a + sep + sep + token_ids_a + sep






							def 					lowerCAmelCase     (						self :     List[Any]		, lowerCamelCase_ :     List[int]		, lowerCamelCase_ :     Optional[List[int]] = None		, lowerCamelCase_ :     bool = 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, 1] + ([0] * len(lowerCamelCase_				)) + [1]






							def 					lowerCAmelCase     (						self :     List[Any]		, lowerCamelCase_ :     List[int]		, lowerCamelCase_ :     Optional[List[int]] = None				):
													UpperCAmelCase__		=    [self.sep_token_id]
													UpperCAmelCase__		=    [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 + sep + token_ids_a + sep				) * [0]






							def 					lowerCAmelCase     (						self :     str		, lowerCamelCase_ :     int		, lowerCamelCase_ :     Optional[Any]=False		, **lowerCamelCase_ :     Optional[Any]				):
													UpperCAmelCase__		=    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()):
																			UpperCAmelCase__		=    ''' ''' + text
													return (text, kwargs)



"""simple docstring"""







from __future__ import annotations

from collections.abc import Callable






def 					a__ (       _UpperCamelCase	,			_UpperCamelCase	,			_UpperCamelCase	,			_UpperCamelCase = 100	,			):





						"""simple docstring"""

						UpperCAmelCase__		=    x_start
						UpperCAmelCase__		=    fnc(_UpperCamelCase )
						UpperCAmelCase__		=    0.0

						for _ in range(_UpperCamelCase ):
												# Approximates small segments of curve as linear and solve
												# for trapezoidal area
												UpperCAmelCase__		=    (x_end - x_start) / steps + xa
												UpperCAmelCase__		=    fnc(_UpperCamelCase )
												area += abs(fxa + fxa ) * (xa - xa) / 2

												# Increment step
												UpperCAmelCase__		=    xa
												UpperCAmelCase__		=    fxa
						return area


if __name__ == "__main__":






						def 					a__ (       _UpperCamelCase ):





												"""simple docstring"""

												return x**3

						print("f(x) = x^3")
						print("The area between the curve, x = -10, x = 10 and the x axis is:")
						__a			 =   10
						while i <= 10_00_00:
												__a			 =   trapezoidal_area(f, -5, 5, i)
												print(f'''with {i} steps: {area}''')
												i *= 10