

import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_snake_case						: Optional[int]											=							logging.get_logger(__name__)

_snake_case						: List[str]											=							{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

_snake_case						: List[str]											=							{
    'vocab_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'},
    'merges_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'},
}

_snake_case						: Any											=							{
    'ctrl': 2_56,
}

_snake_case						: Tuple											=							{
    'Pregnancy': 16_86_29,
    'Christianity': 76_75,
    'Explain': 10_64_23,
    'Fitness': 6_34_40,
    'Saving': 6_31_63,
    'Ask': 2_71_71,
    'Ass': 9_59_85,
    'Joke': 16_35_09,
    'Questions': 4_56_22,
    'Thoughts': 4_96_05,
    'Retail': 5_23_42,
    'Feminism': 16_43_38,
    'Writing': 1_19_92,
    'Atheism': 19_22_63,
    'Netflix': 4_86_16,
    'Computing': 3_96_39,
    'Opinion': 4_32_13,
    'Alone': 4_49_67,
    'Funny': 5_89_17,
    'Gaming': 4_03_58,
    'Human': 40_88,
    'India': 13_31,
    'Joker': 7_71_38,
    'Diet': 3_62_06,
    'Legal': 1_18_59,
    'Norman': 49_39,
    'Tip': 7_26_89,
    'Weight': 5_23_43,
    'Movies': 4_62_73,
    'Running': 2_34_25,
    'Science': 20_90,
    'Horror': 3_77_93,
    'Confession': 6_05_72,
    'Finance': 1_22_50,
    'Politics': 1_63_60,
    'Scary': 19_19_85,
    'Support': 1_26_54,
    'Technologies': 3_25_16,
    'Teenage': 6_61_60,
    'Event': 3_27_69,
    'Learned': 6_74_60,
    'Notion': 18_27_70,
    'Wikipedia': 3_75_83,
    'Books': 66_65,
    'Extract': 7_60_50,
    'Confessions': 10_27_01,
    'Conspiracy': 7_59_32,
    'Links': 6_36_74,
    'Narcissus': 15_04_25,
    'Relationship': 5_47_66,
    'Relationships': 13_47_96,
    'Reviews': 4_16_71,
    'News': 42_56,
    'Translation': 2_68_20,
    'multilingual': 12_84_06,
}





def    _A							(						__snake_case  :List[Any]  )   -> str:



   """simple docstring"""


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

   __SCREAMING_SNAKE_CASE       =				set(UpperCamelCase_  )
   return pairs





class __SCREAMING_SNAKE_CASE     (	_snake_case		):
    SCREAMING_SNAKE_CASE__      =VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE__      =PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE__      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE__      =CONTROL_CODES






    def __init__(       self,		_a,		_a,		_a="<unk>",		**_a )   ->					List[Any]:
       super().__init__(unk_token=__lowerCamelCase,		**__lowerCamelCase )

       with open(__lowerCamelCase,		encoding="utf-8" ) as vocab_handle:
          __SCREAMING_SNAKE_CASE       =				json.load(__lowerCamelCase )
       __SCREAMING_SNAKE_CASE       =				{v: k for k, v in self.encoder.items()}
       with open(__lowerCamelCase,		encoding="utf-8" ) as merges_handle:
          __SCREAMING_SNAKE_CASE       =				merges_handle.read().split("\n" )[1:-1]
       __SCREAMING_SNAKE_CASE       =				[tuple(merge.split() ) for merge in merges]
       __SCREAMING_SNAKE_CASE       =				dict(zip(__lowerCamelCase,		range(len(__lowerCamelCase ) ) ) )
       __SCREAMING_SNAKE_CASE       =				{}






    @property
    def 						__lowerCAmelCase    (       self )   ->					Any:
       return len(self.encoder )






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






    def 						__lowerCAmelCase    (       self,		_a )   ->					List[str]:
       if token in self.cache:
          return self.cache[token]
       __SCREAMING_SNAKE_CASE       =				tuple(__lowerCamelCase )
       __SCREAMING_SNAKE_CASE       =				tuple(list(word[:-1] ) + [word[-1] + "</w>"] )
       __SCREAMING_SNAKE_CASE       =				get_pairs(__lowerCamelCase )

       if not pairs:
          return token

       while True:
          __SCREAMING_SNAKE_CASE       =				min(__lowerCamelCase,		key=lambda _a : self.bpe_ranks.get(__lowerCamelCase,		float("inf" ) ) )
          if bigram not in self.bpe_ranks:
             break
          __SCREAMING_SNAKE_CASE       =				bigram
          __SCREAMING_SNAKE_CASE       =				[]
          __SCREAMING_SNAKE_CASE       =				0
          while i < len(__lowerCamelCase ):
             try:
                __SCREAMING_SNAKE_CASE       =				word.index(__lowerCamelCase,		__lowerCamelCase )
             except ValueError:
                new_word.extend(word[i:] )
                break
             else:
                new_word.extend(word[i:j] )
                __SCREAMING_SNAKE_CASE       =				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
          __SCREAMING_SNAKE_CASE       =				tuple(__lowerCamelCase )
          __SCREAMING_SNAKE_CASE       =				new_word
          if len(__lowerCamelCase ) == 1:
             break
          else:
             __SCREAMING_SNAKE_CASE       =				get_pairs(__lowerCamelCase )
       __SCREAMING_SNAKE_CASE       =				'''@@ '''.join(__lowerCamelCase )
       __SCREAMING_SNAKE_CASE       =				word[:-4]
       __SCREAMING_SNAKE_CASE       =				word
       return word






    def 						__lowerCAmelCase    (       self,		_a )   ->					Optional[int]:
       __SCREAMING_SNAKE_CASE       =				[]

       __SCREAMING_SNAKE_CASE       =				re.findall(r"\S+\n?",		__lowerCamelCase )

       for token in words:
          split_tokens.extend(list(self.bpe(__lowerCamelCase ).split(" " ) ) )
       return split_tokens






    def 						__lowerCAmelCase    (       self,		_a )   ->					Tuple:
       return self.encoder.get(__lowerCamelCase,		self.encoder.get(self.unk_token ) )






    def 						__lowerCAmelCase    (       self,		_a )   ->					List[Any]:
       return self.decoder.get(__lowerCamelCase,		self.unk_token )






    def 						__lowerCAmelCase    (       self,		_a )   ->					Optional[int]:
       __SCREAMING_SNAKE_CASE       =				''' '''.join(__lowerCamelCase ).replace("@@ ",		"" ).strip()
       return out_string






    def 						__lowerCAmelCase    (       self,		_a,		_a = None )   ->					Any:
       if not os.path.isdir(__lowerCamelCase ):
          logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
          return
       __SCREAMING_SNAKE_CASE       =				os.path.join(
           __lowerCamelCase,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
       __SCREAMING_SNAKE_CASE       =				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" )

       __SCREAMING_SNAKE_CASE       =				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!" )
                __SCREAMING_SNAKE_CASE       =				token_index
             writer.write(" ".join(__lowerCamelCase ) + "\n" )
             index += 1

       return vocab_file, merge_file

    # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
    #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
    #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
    #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
    #     return ''.join(tokens_generated_so_far)





'''simple docstring'''





import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase												=						logging.get_logger(__name__)

__lowerCamelCase												=						{
    '''nvidia/segformer-b0-finetuned-ade-512-512''': (
        '''https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'''
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					"segformer"


 def __init__(      self							:	Dict			,       __lowerCamelCase							:	Dict=3			,       __lowerCamelCase							:	List[str]=4			,       __lowerCamelCase							:	List[Any]=[2, 2, 2, 2]			,       __lowerCamelCase							:	List[str]=[8, 4, 2, 1]			,       __lowerCamelCase							:	Optional[Any]=[3_2, 6_4, 1_6_0, 2_5_6]			,       __lowerCamelCase							:	Tuple=[7, 3, 3, 3]			,       __lowerCamelCase							:	Tuple=[4, 2, 2, 2]			,       __lowerCamelCase							:	Any=[1, 2, 5, 8]			,       __lowerCamelCase							:	Optional[Any]=[4, 4, 4, 4]			,       __lowerCamelCase							:	Union[str, Any]="gelu"			,       __lowerCamelCase							:	Dict=0.0			,       __lowerCamelCase							:	Union[str, Any]=0.0			,       __lowerCamelCase							:	Tuple=0.1			,       __lowerCamelCase							:	Optional[Any]=0.02			,       __lowerCamelCase							:	Optional[int]=0.1			,       __lowerCamelCase							:	str=1e-6			,       __lowerCamelCase							:	List[Any]=2_5_6			,       __lowerCamelCase							:	int=2_5_5			,       **__lowerCamelCase							:	str			,       ):
    super().__init__(**__lowerCamelCase )

    if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
       warnings.warn(
           '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
           ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''			,       __lowerCamelCase			,       )

    UpperCAmelCase__	:Dict      =      num_channels
    UpperCAmelCase__	:List[Any]      =      num_encoder_blocks
    UpperCAmelCase__	:List[str]      =      depths
    UpperCAmelCase__	:str      =      sr_ratios
    UpperCAmelCase__	:Optional[Any]      =      hidden_sizes
    UpperCAmelCase__	:List[str]      =      patch_sizes
    UpperCAmelCase__	:List[str]      =      strides
    UpperCAmelCase__	:List[str]      =      mlp_ratios
    UpperCAmelCase__	:Dict      =      num_attention_heads
    UpperCAmelCase__	:Tuple      =      hidden_act
    UpperCAmelCase__	:List[str]      =      hidden_dropout_prob
    UpperCAmelCase__	:List[Any]      =      attention_probs_dropout_prob
    UpperCAmelCase__	:int      =      classifier_dropout_prob
    UpperCAmelCase__	:str      =      initializer_range
    UpperCAmelCase__	:List[str]      =      drop_path_rate
    UpperCAmelCase__	:Dict      =      layer_norm_eps
    UpperCAmelCase__	:List[str]      =      decoder_hidden_size
    UpperCAmelCase__	:Optional[int]      =      kwargs.get('''reshape_last_stage'''			,       __lowerCamelCase )
    UpperCAmelCase__	:str      =      semantic_loss_ignore_index




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					version.parse("1.11"						)


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any] ):
    return OrderedDict(
        [
            ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
        ] )


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int] ):
    return 1e-4





 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    return 1_2



