




"""simple docstring"""

import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


UpperCamelCase__			:     str			       =				logging.get_logger(__name__)

UpperCamelCase__			:     Any			       =				{
    "shi-labs/oneformer_ade20k_swin_tiny": (
        "https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json"
    ),
    # See all OneFormer models at https://huggingface.co/models?filter=oneformer
}
class      A__   (   lowercase_  ):
	A_				:					Optional[Any]      =   """oneformer"""
	A_				:					Union[str, Any]      =   {"""hidden_size""": """hidden_dim"""}




	def __init__( self	:						Any   ,     lowercase	:						Optional[Dict] = None   ,     lowercase	:						int = 255   ,     lowercase	:						int = 150   ,     lowercase	:						int = 0.1   ,     lowercase	:						float = 2.0   ,     lowercase	:						float = 5.0   ,     lowercase	:						float = 5.0   ,     lowercase	:						float = 0.5   ,     lowercase	:						float = 0.07   ,     lowercase	:						int = 12_544   ,     lowercase	:						float = 3.0   ,     lowercase	:						float = 0.75   ,     lowercase	:						float = 0.02   ,     lowercase	:						float = 1.0   ,     lowercase	:						float = 1e-05   ,     lowercase	:						bool = False   ,     lowercase	:						bool = True   ,     lowercase	:						bool = True   ,     lowercase	:						Optional[list] = [4, 8, 16, 32]   ,     lowercase	:						int = 77   ,     lowercase	:						int = 256   ,     lowercase	:						int = 77   ,     lowercase	:						int = 6   ,     lowercase	:						int = 49_408   ,     lowercase	:						int = 2   ,     lowercase	:						int = 16   ,     lowercase	:						int = 256   ,     lowercase	:						int = 256   ,     lowercase	:						int = 256   ,     lowercase	:						int = 1_024   ,     lowercase	:						str = "GN"   ,     lowercase	:						int = 6   ,     lowercase	:						int = 10   ,     lowercase	:						bool = True   ,     lowercase	:						int = 8   ,     lowercase	:						float = 0.1   ,     lowercase	:						int = 2_048   ,     lowercase	:						bool = False   ,     lowercase	:						bool = False   ,     lowercase	:						int = 2   ,     lowercase	:						int = 4   ,     **lowercase	:						List[str]   ,     )       ->			List[Any]:
						if backbone_config is None:
											logger.info("""`backbone_config` is unset. Initializing the config with the default `Swin` backbone."""						)
											__snake_case        =						CONFIG_MAPPING["""swin"""](
											    image_size=224   ,     in_channels=3   ,     patch_size=4   ,     embed_dim=96   ,     depths=[2, 2, 6, 2]   ,     num_heads=[3, 6, 12, 24]   ,     window_size=7   ,     drop_path_rate=0.3   ,     use_absolute_embeddings=lowercase   ,     out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]   ,     )
						elif isinstance(lowercase   ,     lowercase						):
											__snake_case        =						backbone_config.get("""model_type"""						)
											__snake_case        =						CONFIG_MAPPING[backbone_model_type]
											__snake_case        =						config_class.from_dict(lowercase						)

						__snake_case        =						backbone_config

						__snake_case        =						ignore_value
						__snake_case        =						num_queries
						__snake_case        =						no_object_weight
						__snake_case        =						class_weight
						__snake_case        =						mask_weight
						__snake_case        =						dice_weight
						__snake_case        =						contrastive_weight
						__snake_case        =						contrastive_temperature
						__snake_case        =						train_num_points
						__snake_case        =						oversample_ratio
						__snake_case        =						importance_sample_ratio
						__snake_case        =						init_std
						__snake_case        =						init_xavier_std
						__snake_case        =						layer_norm_eps
						__snake_case        =						is_training
						__snake_case        =						use_auxiliary_loss
						__snake_case        =						output_auxiliary_logits
						__snake_case        =						strides
						__snake_case        =						task_seq_len
						__snake_case        =						text_encoder_width
						__snake_case        =						text_encoder_context_length
						__snake_case        =						text_encoder_num_layers
						__snake_case        =						text_encoder_vocab_size
						__snake_case        =						text_encoder_proj_layers
						__snake_case        =						text_encoder_n_ctx
						__snake_case        =						conv_dim
						__snake_case        =						mask_dim
						__snake_case        =						hidden_dim
						__snake_case        =						encoder_feedforward_dim
						__snake_case        =						norm
						__snake_case        =						encoder_layers
						__snake_case        =						decoder_layers
						__snake_case        =						use_task_norm
						__snake_case        =						num_attention_heads
						__snake_case        =						dropout
						__snake_case        =						dim_feedforward
						__snake_case        =						pre_norm
						__snake_case        =						enforce_input_proj
						__snake_case        =						query_dec_layers
						__snake_case        =						common_stride
						__snake_case        =						decoder_layers

						super().__init__(**lowercase						)




	def 				a_		( self	:						Dict						)       ->			Dict[str, any]:
						__snake_case        =						copy.deepcopy(self.__dict__						)
						__snake_case        =						self.backbone_config.to_dict()
						__snake_case        =						self.__class__.model_type
						return output








"""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


UpperCamelCase__			:     str			       =				logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCamelCase__			:     str			       =				{
    "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",
    },
}

UpperCamelCase__			:     str			       =				{
    "RUCAIBox/mvp": 10_24,
}




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




def    snake_case__						(							lowerCAmelCase :		Optional[int]		):
					__snake_case        =						set()
					__snake_case        =						word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)		)
										__snake_case        =						char
					return pairs

class      A__   (   lowercase_  ):
	A_				:					List[str]      =   VOCAB_FILES_NAMES
	A_				:					Any      =   PRETRAINED_VOCAB_FILES_MAP
	A_				:					Optional[Any]      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A_				:					Union[str, Any]      =   ["""input_ids""", """attention_mask"""]




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

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

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

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




	@property
	def 				a_		( self	:						List[str]						)       ->			Any:
						return len(self.encoder						)




	def 				a_		( self	:						str						)       ->			str:
						return dict(self.encoder   ,     **self.added_tokens_encoder						)




	def 				a_		( self	:						int   ,     lowercase	:						Optional[Any]						)       ->			int:
						if token in self.cache:
											return self.cache[token]
						__snake_case        =						tuple(lowercase						)
						__snake_case        =						get_pairs(lowercase						)

						if not pairs:
											return token

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

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




	def 				a_		( self	:						List[str]   ,     lowercase	:						Optional[int]						)       ->			List[str]:
						__snake_case        =						[]
						for token in re.findall(self.pat   ,     lowercase						):
											__snake_case        =						"""""".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(lowercase						).split(""" """						)						)
						return bpe_tokens




	def 				a_		( self	:						Dict   ,     lowercase	:						List[Any]						)       ->			List[Any]:
						return self.encoder.get(lowercase   ,     self.encoder.get(self.unk_token						)						)




	def 				a_		( self	:						Optional[int]   ,     lowercase	:						Optional[Any]						)       ->			List[str]:
						return self.decoder.get(lowercase						)




	def 				a_		( self	:						Tuple   ,     lowercase	:						int						)       ->			Any:
						__snake_case        =						"""""".join(lowercase						)
						__snake_case        =						bytearray([self.byte_decoder[c] for c in text]						).decode("""utf-8"""   ,     errors=self.errors						)
						return text




	def 				a_		( self	:						List[Any]   ,     lowercase	:						str   ,     lowercase	:						Optional[str] = None						)       ->			Tuple[str]:
						if not os.path.isdir(lowercase						):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
											return
						__snake_case        =						os.path.join(
						    lowercase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)
						__snake_case        =						os.path.join(
						    lowercase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]						)

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

						__snake_case        =						0
						with open(lowercase   ,     """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!"""						)
																					__snake_case        =						token_index
																writer.write(""" """.join(lowercase						) + """\n"""						)
																index += 1

						return vocab_file, merge_file




	def 				a_		( self	:						List[Any]   ,     lowercase	:						List[int]   ,     lowercase	:						Optional[List[int]] = None						)       ->			List[int]:
						if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						__snake_case        =						[self.cls_token_id]
						__snake_case        =						[self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep




	def 				a_		( self	:						Optional[Any]   ,     lowercase	:						List[int]   ,     lowercase	:						Optional[List[int]] = None   ,     lowercase	:						bool = False						)       ->			List[int]:
						if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=lowercase   ,     token_ids_a=lowercase   ,     already_has_special_tokens=lowercase						)

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




	def 				a_		( self	:						Tuple   ,     lowercase	:						List[int]   ,     lowercase	:						Optional[List[int]] = None						)       ->			List[int]:
						__snake_case        =						[self.sep_token_id]
						__snake_case        =						[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 				a_		( self	:						Union[str, Any]   ,     lowercase	:						List[Any]   ,     lowercase	:						int=False   ,     **lowercase	:						str						)       ->			Tuple:
						__snake_case        =						kwargs.pop("""add_prefix_space"""   ,     self.add_prefix_space						)
						if (is_split_into_words or add_prefix_space) and (len(lowercase						) > 0 and not text[0].isspace()):
											__snake_case        =						""" """ + text
						return (text, kwargs)


