





"""simple docstring"""



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


a_			=      logging.get_logger(__name__)

a_			=      {
    """google/mobilenet_v2_1.4_224""": """https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json""",
    """google/mobilenet_v2_1.0_224""": """https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v2_0.75_160""": """https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json""",
    """google/mobilenet_v2_0.35_96""": """https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json""",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}






class 		__snake_case (		SCREAMING_SNAKE_CASE__					):





 """simple docstring"""


 _lowerCamelCase				=					"""mobilenet_v2"""

 def __init__(   self ,						__lowerCamelCase=3 ,						__lowerCamelCase=224 ,						__lowerCamelCase=1.0 ,						__lowerCamelCase=8 ,						__lowerCamelCase=8 ,						__lowerCamelCase=6 ,						__lowerCamelCase=32 ,						__lowerCamelCase=True ,						__lowerCamelCase=True ,						__lowerCamelCase="relu6" ,						__lowerCamelCase=True ,						__lowerCamelCase=0.8 ,						__lowerCamelCase=0.0_2 ,						__lowerCamelCase=0.0_0_1 ,						__lowerCamelCase=255 ,						**__lowerCamelCase ,						):



     '''simple docstring'''




     super().__init__(**__lowerCamelCase  )

     if depth_multiplier <= 0:
         raise ValueError('''depth_multiplier must be greater than zero.'''  )

     __A   :						List[Any]									=					num_channels
     __A   :						Optional[Any]									=					image_size
     __A   :						Tuple									=					depth_multiplier
     __A   :						Optional[int]									=					depth_divisible_by
     __A   :						List[Any]									=					min_depth
     __A   :						Optional[int]									=					expand_ratio
     __A   :						Optional[int]									=					output_stride
     __A   :						Dict									=					first_layer_is_expansion
     __A   :						Any									=					finegrained_output
     __A   :						List[str]									=					hidden_act
     __A   :						List[Any]									=					tf_padding
     __A   :						Dict									=					classifier_dropout_prob
     __A   :						Any									=					initializer_range
     __A   :						Optional[int]									=					layer_norm_eps
     __A   :						Optional[int]									=					semantic_loss_ignore_index






class 		__snake_case (		SCREAMING_SNAKE_CASE__					):





 """simple docstring"""


 _lowerCamelCase				=					version.parse("""1.11"""					)

 @property
 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     return OrderedDict([('''pixel_values''', {0: '''batch'''})]  )

 @property
 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     if self.task == "image-classification":
         return OrderedDict([('''logits''', {0: '''batch'''})]  )
     else:
         return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]  )







 @property
 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     return 1e-4











"""simple docstring"""



from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url






class 		__snake_case (		SCREAMING_SNAKE_CASE__					):





 """simple docstring"""


 _lowerCamelCase				=					""""""
 _lowerCamelCase				=					"""hf-legacy"""  # "hf://"" is reserved for hffs

 def __init__(   self ,						__lowerCamelCase = None ,						__lowerCamelCase = None ,						**__lowerCamelCase ,						):



     '''simple docstring'''




     super().__init__(self ,						**__lowerCamelCase  )
     __A   :						int									=					repo_info
     __A   :						Optional[int]									=					token
     __A   :						int									=					None

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     if self.dir_cache is None:
         __A   :						int									=					{}
         for hf_file in self.repo_info.siblings:
             # TODO(QL): add sizes
             __A   :						Tuple									=					{
                 '''name''': hf_file.rfilename,
                 '''size''': None,
                 '''type''': '''file''',
             }
             self.dir_cache.update(
                 {
                     str(__lowerCamelCase  ): {'''name''': str(__lowerCamelCase  ), '''size''': None, '''type''': '''directory'''}
                     for d in list(PurePosixPath(hf_file.rfilename  ).parents  )[:-1]
                 }  )

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase = "rb" ,						**__lowerCamelCase ,						):



     '''simple docstring'''




     if not isinstance(self.repo_info ,						__lowerCamelCase  ):
         raise NotImplementedError(F"""Open is only implemented for dataset repositories, but got {self.repo_info}"""  )
     __A   :						Union[str, Any]									=					hf_hub_url(self.repo_info.id ,						__lowerCamelCase ,						revision=self.repo_info.sha  )
     return fsspec.open(
         __lowerCamelCase ,						mode=__lowerCamelCase ,						headers=get_authentication_headers_for_url(__lowerCamelCase ,						use_auth_token=self.token  ) ,						client_kwargs={'''trust_env''': True} ,						).open()

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						**__lowerCamelCase  ):



     '''simple docstring'''




     self._get_dirs()
     __A   :						Optional[Any]									=					self._strip_protocol(__lowerCamelCase  )
     if path in self.dir_cache:
         return self.dir_cache[path]
     else:
         raise FileNotFoundError(__lowerCamelCase  )







 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase=False ,						**__lowerCamelCase  ):



     '''simple docstring'''




     self._get_dirs()
     __A   :						Any									=					PurePosixPath(path.strip('''/'''  )  )
     __A   :						Any									=					{}
     for p, f in self.dir_cache.items():
         __A   :						List[Any]									=					PurePosixPath(p.strip('''/'''  )  )
         __A   :						Dict									=					p.parent
         if root == path:
             __A   :						Union[str, Any]									=					f
     __A   :						List[str]									=					list(paths.values()  )
     if detail:
         return out
     else:
         return sorted(f['''name'''] for f in out  )




