



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


lowerCamelCase__     =	logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCamelCase__     =	{
    "vocab_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json",
    },
    "added_tokens.json": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json",
    },
    "merges_file": {
        "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt",
    },
}

lowerCamelCase__     =	{
    "RUCAIBox/mvp": 1024,
}

@lru_cache()
def 					lowerCAmelCase__  (							):
				"""simple docstring"""







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

def 					lowerCAmelCase__  (							_SCREAMING_SNAKE_CASE    :     Optional[int]      ):
				"""simple docstring"""







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






class 				SCREAMING_SNAKE_CASE     (							lowercase_   ):
							__lowerCamelCase		:		Dict      =VOCAB_FILES_NAMES
							__lowerCamelCase		:		Any      =PRETRAINED_VOCAB_FILES_MAP
							__lowerCamelCase		:		Tuple      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowerCamelCase		:		str      =['input_ids', 'attention_mask']





							def __init__(				self						:						Union[str, Any] ,			__lowercase						:						str ,			__lowercase						:						str ,			__lowercase						:						Tuple="replace" ,			__lowercase						:						Optional[Any]="<s>" ,			__lowercase						:						Any="</s>" ,			__lowercase						:						Tuple="</s>" ,			__lowercase						:						Optional[Any]="<s>" ,			__lowercase						:						List[Any]="<unk>" ,			__lowercase						:						Union[str, Any]="<pad>" ,			__lowercase						:						str="<mask>" ,			__lowercase						:						Optional[int]=False ,			**__lowercase						:						Tuple ,			):

											'''simple docstring'''
											__a					       =						AddedToken(UpperCamelCase_ ,			lstrip=UpperCamelCase_ ,			rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_ ,			UpperCamelCase_		) else bos_token
											__a					       =						AddedToken(UpperCamelCase_ ,			lstrip=UpperCamelCase_ ,			rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_ ,			UpperCamelCase_		) else eos_token
											__a					       =						AddedToken(UpperCamelCase_ ,			lstrip=UpperCamelCase_ ,			rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_ ,			UpperCamelCase_		) else sep_token
											__a					       =						AddedToken(UpperCamelCase_ ,			lstrip=UpperCamelCase_ ,			rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_ ,			UpperCamelCase_		) else cls_token
											__a					       =						AddedToken(UpperCamelCase_ ,			lstrip=UpperCamelCase_ ,			rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_ ,			UpperCamelCase_		) else unk_token
											__a					       =						AddedToken(UpperCamelCase_ ,			lstrip=UpperCamelCase_ ,			rstrip=UpperCamelCase_		) if isinstance(UpperCamelCase_ ,			UpperCamelCase_		) else pad_token

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

											super().__init__(
											    errors=UpperCamelCase_ ,			bos_token=UpperCamelCase_ ,			eos_token=UpperCamelCase_ ,			unk_token=UpperCamelCase_ ,			sep_token=UpperCamelCase_ ,			cls_token=UpperCamelCase_ ,			pad_token=UpperCamelCase_ ,			mask_token=UpperCamelCase_ ,			add_prefix_space=UpperCamelCase_ ,			**UpperCamelCase_ ,			)
											with open(UpperCamelCase_ ,			encoding="""utf-8"""		) as vocab_handle:
															__a					       =						json.load(UpperCamelCase_		)
											__a					       =						{v: k for k, v in self.encoder.items()}
											__a					       =						errors  # how to handle errors in decoding
											__a					       =						bytes_to_unicode()
											__a					       =						{v: k for k, v in self.byte_encoder.items()}
											with open(UpperCamelCase_ ,			encoding="""utf-8"""		) as merges_handle:
															__a					       =						merges_handle.read().split("""\n"""		)[1:-1]
											__a					       =						[tuple(merge.split()		) for merge in bpe_merges]
											__a					       =						dict(zip(UpperCamelCase_ ,			range(len(UpperCamelCase_		)		)		)		)
											__a					       =						{}
											__a					       =						add_prefix_space

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





							@property
							def   UpperCamelCase_   (				self						:						List[Any]		):

											'''simple docstring'''
											return len(self.encoder		)





							def   UpperCamelCase_   (				self						:						Union[str, Any]		):

											'''simple docstring'''
											return dict(self.encoder ,			**self.added_tokens_encoder		)





							def   UpperCamelCase_   (				self						:						int ,			__lowercase						:						Optional[Any]		):

											'''simple docstring'''



											if token in self.cache:
															return self.cache[token]
											__a					       =						tuple(UpperCamelCase_		)
											__a					       =						get_pairs(UpperCamelCase_		)

											if not pairs:
															return token

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

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





							def   UpperCamelCase_   (				self						:						Optional[Any] ,			__lowercase						:						List[Any]		):

											'''simple docstring'''
											__a					       =						[]
											for token in re.findall(self.pat ,			UpperCamelCase_		):
															__a					       =						"""""".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(UpperCamelCase_		).split(""" """		)		)
											return bpe_tokens





							def   UpperCamelCase_   (				self						:						Tuple ,			__lowercase						:						Tuple		):

											'''simple docstring'''
											return self.encoder.get(UpperCamelCase_ ,			self.encoder.get(self.unk_token		)		)





							def   UpperCamelCase_   (				self						:						Any ,			__lowercase						:						List[Any]		):

											'''simple docstring'''
											return self.decoder.get(UpperCamelCase_		)





							def   UpperCamelCase_   (				self						:						List[str] ,			__lowercase						:						int		):

											'''simple docstring'''
											__a					       =						"""""".join(UpperCamelCase_		)
											__a					       =						bytearray([self.byte_decoder[c] for c in text]		).decode("""utf-8""" ,			errors=self.errors		)
											return text





							def   UpperCamelCase_   (				self						:						Optional[int] ,			__lowercase						:						str ,			__lowercase						:						Optional[str] = None		):

											'''simple docstring'''



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

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

											__a					       =						0
											with open(UpperCamelCase_ ,			"""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 __lowercase		: 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!"""		)
																							__a					       =						token_index
																			writer.write(""" """.join(UpperCamelCase_		) + """\n"""		)
																			index += 1

											return vocab_file, merge_file





							def   UpperCamelCase_   (				self						:						Optional[int] ,			__lowercase						:						List[int] ,			__lowercase						:						Optional[List[int]] = None		):

											'''simple docstring'''



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





							def   UpperCamelCase_   (				self						:						List[str] ,			__lowercase						:						List[int] ,			__lowercase						:						Optional[List[int]] = None ,			__lowercase						:						bool = False		):

											'''simple docstring'''



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

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





							def   UpperCamelCase_   (				self						:						int ,			__lowercase						:						List[int] ,			__lowercase						:						Optional[List[int]] = None		):

											'''simple docstring'''
											__a					       =						[self.sep_token_id]
											__a					       =						[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   UpperCamelCase_   (				self						:						Union[str, Any] ,			__lowercase						:						Dict ,			__lowercase						:						Tuple=False ,			**__lowercase						:						Tuple		):

											'''simple docstring'''
											__a					       =						kwargs.pop("""add_prefix_space""" ,			self.add_prefix_space		)
											if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase_		) > 0 and not text[0].isspace()):
															__a					       =						""" """ + text
											return (text, kwargs)





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase__     =	{
    """configuration_oneformer""": ["""ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """OneFormerConfig"""],
    """processing_oneformer""": ["""OneFormerProcessor"""],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__     =	["""OneFormerImageProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__     =	[
						    """ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """OneFormerForUniversalSegmentation""",
						    """OneFormerModel""",
						    """OneFormerPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
						from .processing_oneformer import OneFormerProcessor

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_oneformer import OneFormerImageProcessor
						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_oneformer import (
												    ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    OneFormerForUniversalSegmentation,
												    OneFormerModel,
												    OneFormerPreTrainedModel,
												)


else:
						import sys

						lowerCamelCase__     =	_LazyModule(__name__, globals()["""__file__"""], _import_structure)
