from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__											=					logging.get_logger(__name__)

UpperCamelCase__											=					{
    'vinvino02/glpn-kitti': 'https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}





class      A							(				snake_case_     ):
   __UpperCAmelCase : str      =			'''glpn'''


   def __init__(self     :						List[Any]       ,  __UpperCAmelCase     :						List[str]=3       ,  __UpperCAmelCase     :						Dict=4       ,  __UpperCAmelCase     :						str=[2, 2, 2, 2]       ,  __UpperCAmelCase     :						Tuple=[8, 4, 2, 1]       ,  __UpperCAmelCase     :						Optional[Any]=[3_2, 6_4, 1_6_0, 2_5_6]       ,  __UpperCAmelCase     :						Dict=[7, 3, 3, 3]       ,  __UpperCAmelCase     :						int=[4, 2, 2, 2]       ,  __UpperCAmelCase     :						Optional[int]=[1, 2, 5, 8]       ,  __UpperCAmelCase     :						List[str]=[4, 4, 4, 4]       ,  __UpperCAmelCase     :						Union[str, Any]="gelu"       ,  __UpperCAmelCase     :						List[str]=0.0       ,  __UpperCAmelCase     :						Any=0.0       ,  __UpperCAmelCase     :						List[str]=0.02       ,  __UpperCAmelCase     :						Union[str, Any]=0.1       ,  __UpperCAmelCase     :						Optional[Any]=1E-6       ,  __UpperCAmelCase     :						Tuple=6_4       ,  __UpperCAmelCase     :						Optional[Any]=1_0       ,  __UpperCAmelCase     :						Union[str, Any]=-1       ,  **__UpperCAmelCase     :						Union[str, Any]       ,  )						->				str:
         """simple docstring"""



         super().__init__(**UpperCAmelCase__		)

         UpperCAmelCase__								=  num_channels
         UpperCAmelCase__								=  num_encoder_blocks
         UpperCAmelCase__								=  depths
         UpperCAmelCase__								=  sr_ratios
         UpperCAmelCase__								=  hidden_sizes
         UpperCAmelCase__								=  patch_sizes
         UpperCAmelCase__								=  strides
         UpperCAmelCase__								=  mlp_ratios
         UpperCAmelCase__								=  num_attention_heads
         UpperCAmelCase__								=  hidden_act
         UpperCAmelCase__								=  hidden_dropout_prob
         UpperCAmelCase__								=  attention_probs_dropout_prob
         UpperCAmelCase__								=  initializer_range
         UpperCAmelCase__								=  drop_path_rate
         UpperCAmelCase__								=  layer_norm_eps
         UpperCAmelCase__								=  decoder_hidden_size
         UpperCAmelCase__								=  max_depth
         UpperCAmelCase__								=  head_in_index











"""simple docstring"""




import json
import os
from typing import Optional, Tuple

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


_snake_case          =   logging.get_logger(__name__)

_snake_case          =   {'vocab_file': 'vocab.json'}

_snake_case          =   {
    'vocab_file': {
        'mgp-str': 'https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json',
    }
}

_snake_case          =   {'mgp-str': 27}






class        UpperCamelCase			(	snake_case_      ):
 UpperCamelCase					:       List[str]			=					VOCAB_FILES_NAMES
 UpperCamelCase					:       Union[str, Any]			=					PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase					:       Optional[int]			=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


 def __init__(     self		:						Optional[int]							,						UpperCAmelCase__		:						List[str]							,						UpperCAmelCase__		:						List[Any]="[GO]"							,						UpperCAmelCase__		:						Tuple="[GO]"							,						UpperCAmelCase__		:						Optional[int]="[s]"							,						UpperCAmelCase__		:						int="[GO]"							,						**UpperCAmelCase__		:						Dict							)					->       int:
   super().__init__(
       unk_token=UpperCAmelCase__							,						bos_token=UpperCAmelCase__							,						eos_token=UpperCAmelCase__							,						pad_token=UpperCAmelCase__							,						**UpperCAmelCase__							,						)

   with open(UpperCAmelCase__							,						encoding="""utf-8"""							) as vocab_handle:
     _a  :       int             =	json.load(UpperCAmelCase__							)
   _a  :       Optional[int]             =	{v: k for k, v in self.vocab.items()}


 @property
 def _lowercase	(     self		:						Dict							)					->       Union[str, Any]:
   return len(self.vocab							)


 def _lowercase	(     self		:						Union[str, Any]							)					->       str:
   return dict(self.vocab							,						**self.added_tokens_encoder							)


 def _lowercase	(     self		:						Dict							,						UpperCAmelCase__		:						str							)					->       Union[str, Any]:
   _a  :       Tuple             =	[]
   for s in text:
     char_tokens.extend(UpperCAmelCase__							)
   return char_tokens


 def _lowercase	(     self		:						List[Any]							,						UpperCAmelCase__		:						str							)					->       Dict:
   return self.vocab.get(UpperCAmelCase__							,						self.vocab.get(self.unk_token							)							)


 def _lowercase	(     self		:						Optional[int]							,						UpperCAmelCase__		:						Tuple							)					->       List[Any]:
   return self.decoder.get(UpperCAmelCase__							)







 def _lowercase	(     self		:						Optional[int]							,						UpperCAmelCase__		:						str							,						UpperCAmelCase__		:						Optional[str] = None							)					->       Tuple[str]:
   if not os.path.isdir(UpperCAmelCase__							):
     logger.error("""Vocabulary path ({}) should be a directory""".format(UpperCAmelCase__							)							)
     return
   _a  :       Tuple             =	os.path.join(
       UpperCAmelCase__							,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)

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

   return (vocab_file,)

