

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 		a_       (							SCREAMING_SNAKE_CASE_     ):



      """simple docstring"""







      __UpperCAmelCase					=      ""
      __UpperCAmelCase					=      "hf-legacy"  # "hf://"" is reserved for hffs
      def __init__(      self     :							int			,snake_case     :							Optional[int] = None			,snake_case     :							Optional[Any] = None			,**snake_case     :							Dict			,):
           super().__init__(self			,**a__				)
           SCREAMING_SNAKE_CASE      						=repo_info
           SCREAMING_SNAKE_CASE      						=token
           SCREAMING_SNAKE_CASE      						=None
      def        _lowerCAmelCase     (      self     :							List[Any]				):
           if self.dir_cache is None:
                SCREAMING_SNAKE_CASE      						={}
                for hf_file in self.repo_info.siblings:
                     # TODO(QL): add sizes
                     SCREAMING_SNAKE_CASE      						={
                         """name""": hf_file.rfilename,
                         """size""": None,
                         """type""": """file""",
                     }
                     self.dir_cache.update(
                         {
                             str(a__				): {'name': str(a__				), 'size': None, 'type': 'directory'}
                             for d in list(PurePosixPath(hf_file.rfilename				).parents				)[:-1]
                         }				)
      def        _lowerCAmelCase     (      self     :							int			,snake_case     :							int			,snake_case     :							str = "rb"			,**snake_case     :							Optional[Any]			,):
           if not isinstance(self.repo_info			,a__				):
                raise NotImplementedError(f'Open is only implemented for dataset repositories, but got {self.repo_info}'				)
           SCREAMING_SNAKE_CASE      						=hf_hub_url(self.repo_info.id			,a__			,revision=self.repo_info.sha				)
           return fsspec.open(
               a__			,mode=a__			,headers=get_authentication_headers_for_url(a__			,use_auth_token=self.token				)			,client_kwargs={'trust_env': True}			,).open()
      def        _lowerCAmelCase     (      self     :							Optional[int]			,snake_case     :							Optional[Any]			,**snake_case     :							List[Any]				):
           self._get_dirs()
           SCREAMING_SNAKE_CASE      						=self._strip_protocol(a__				)
           if path in self.dir_cache:
                return self.dir_cache[path]
           else:
                raise FileNotFoundError(a__				)


      def        _lowerCAmelCase     (      self     :							List[str]			,snake_case     :							List[str]			,snake_case     :							int=False			,**snake_case     :							Dict				):
           self._get_dirs()
           SCREAMING_SNAKE_CASE      						=PurePosixPath(path.strip('/'				)				)
           SCREAMING_SNAKE_CASE      						={}
           for p, f in self.dir_cache.items():
                SCREAMING_SNAKE_CASE      						=PurePosixPath(p.strip('/'				)				)
                SCREAMING_SNAKE_CASE      						=p.parent
                if root == path:
                     SCREAMING_SNAKE_CASE      						=f
           SCREAMING_SNAKE_CASE      						=list(paths.values()				)
           if detail:
                return out
           else:
                return sorted(f['name'] for f in out				)


"""simple docstring"""




from math import ceil





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       Union[str, Any]			,_lowerCamelCase						:       Union[str, Any]	)       ->      int:
  _lowerCAmelCase						:       Dict  			=     list(range(0			,_lowerCamelCase	)	)

  _lowerCAmelCase						:       Tuple  			=     [item for sublist in list(device_map.values()	) for item in sublist]

  # Duplicate check
  _lowerCAmelCase						:       Union[str, Any]  			=     []
  for i in device_map_blocks:
    if device_map_blocks.count(_lowerCamelCase	) > 1 and i not in duplicate_blocks:
      duplicate_blocks.append(_lowerCamelCase	)
    # Missing blocks
  _lowerCAmelCase						:       int  			=     [i for i in blocks if i not in device_map_blocks]
  _lowerCAmelCase						:       List[Any]  			=     [i for i in device_map_blocks if i not in blocks]

  if len(_lowerCamelCase	) != 0:
    raise ValueError(
        """Duplicate attention blocks specified in device_map. Attention blocks must be specified to one device."""
        """ These attention blocks were specified more than once: """ + str(_lowerCamelCase	)	)
  if len(_lowerCamelCase	) != 0:
    raise ValueError(
        """There are attention blocks for this model that are not specified in the device_map. Add these attention """
        """blocks to a device on the device_map: """ + str(_lowerCamelCase	)	)
  if len(_lowerCamelCase	) != 0:
    raise ValueError(
        """The device_map contains more attention blocks than this model has. Remove these from the device_map:"""
        + str(_lowerCamelCase	)	)






def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int			,_lowerCamelCase						:       Tuple	)       ->      str:
  _lowerCAmelCase						:       Optional[Any]  			=     list(range(_lowerCamelCase	)	)
  _lowerCAmelCase						:       Optional[Any]  			=     int(ceil(n_layers / len(_lowerCamelCase	)	)	)
  _lowerCAmelCase						:       Optional[int]  			=     [layers[i : i + n_blocks] for i in range(0			,_lowerCamelCase			,_lowerCamelCase	)]

  return dict(zip(_lowerCamelCase			,_lowerCamelCase	)	)




