



"""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 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""
						__UpperCamelCase		    =							""""""
						__UpperCamelCase		    =							"""hf-legacy"""  # "hf://"" is reserved for hffs






						def __init__( self			:Any       ,  lowercase_			:Optional[DatasetInfo] = None       ,  lowercase_			:Optional[str] = None       ,  **lowercase_			:List[Any]       ,  )    ->      Dict:
												super().__init__(self       ,  **lowercase_ )
												UpperCAmelCase					=			repo_info
												UpperCAmelCase					=			token
												UpperCAmelCase					=			None






						def      UpperCAmelCase__					( self			:Optional[Any] )    ->      List[Any]:
												if self.dir_cache is None:
																		UpperCAmelCase					=			{}
																		for hf_file in self.repo_info.siblings:
																								# TODO(QL): add sizes
																								UpperCAmelCase					=			{
																								    'name': hf_file.rfilename,
																								    'size': None,
																								    'type': 'file',
																								}
																								self.dir_cache.update(
																								    {
																								        str(lowercase_ ): {'name': str(lowercase_ ), 'size': None, 'type': 'directory'}
																								        for d in list(PurePosixPath(hf_file.rfilename ).parents )[:-1]
																								    } )






						def      UpperCAmelCase__					( self			:List[Any]       ,  lowercase_			:str       ,  lowercase_			:str = "rb"       ,  **lowercase_			:Optional[Any]       ,  )    ->      Optional[Any]:
												if not isinstance(self.repo_info       ,  lowercase_ ):
																		raise NotImplementedError(f"""Open is only implemented for dataset repositories, but got {self.repo_info}""" )
												UpperCAmelCase					=			hf_hub_url(self.repo_info.id       ,  lowercase_       ,  revision=self.repo_info.sha )
												return fsspec.open(
												    lowercase_       ,  mode=lowercase_       ,  headers=get_authentication_headers_for_url(lowercase_       ,  use_auth_token=self.token )       ,  client_kwargs={'trust_env': True}       ,  ).open()






						def      UpperCAmelCase__					( self			:List[str]       ,  lowercase_			:Optional[Any]       ,  **lowercase_			:Optional[int] )    ->      int:
												self._get_dirs()
												UpperCAmelCase					=			self._strip_protocol(lowercase_ )
												if path in self.dir_cache:
																		return self.dir_cache[path]
												else:
																		raise FileNotFoundError(lowercase_ )






						def      UpperCAmelCase__					( self			:Union[str, Any]       ,  lowercase_			:Tuple       ,  lowercase_			:List[Any]=False       ,  **lowercase_			:Tuple )    ->      Optional[int]:
												self._get_dirs()
												UpperCAmelCase					=			PurePosixPath(path.strip('/' ) )
												UpperCAmelCase					=			{}
												for p, f in self.dir_cache.items():
																		UpperCAmelCase					=			PurePosixPath(p.strip('/' ) )
																		UpperCAmelCase					=			p.parent
																		if root == path:
																								UpperCAmelCase					=			f
												UpperCAmelCase					=			list(paths.values() )
												if detail:
																		return out
												else:
																		return sorted(f['name'] for f in out )










"""simple docstring"""


import operator as op


snake_case_    					=	"""scaler.pt"""
snake_case_    					=	"""pytorch_model"""
snake_case_    					=	"""random_states"""
snake_case_    					=	"""optimizer"""
snake_case_    					=	"""scheduler"""
snake_case_    					=	"""pytorch_model.bin"""
snake_case_    					=	"""pytorch_model.bin.index.json"""
snake_case_    					=	"""model.safetensors"""
snake_case_    					=	"""model.safetensors.index.json"""
snake_case_    					=	"""1.10.2"""
snake_case_    					=	"""py38"""
snake_case_    					=	"""4.17.0"""
snake_case_    					=	["""ml.p3.16xlarge""", """ml.p3dn.24xlarge""", """ml.p4dn.24xlarge"""]
snake_case_    					=	["""FULL_SHARD""", """SHARD_GRAD_OP""", """NO_SHARD""", """HYBRID_SHARD""", """HYBRID_SHARD_ZERO2"""]
snake_case_    					=	["""TRANSFORMER_BASED_WRAP""", """SIZE_BASED_WRAP""", """NO_WRAP"""]
snake_case_    					=	["""BACKWARD_PRE""", """BACKWARD_POST""", """NO_PREFETCH"""]
snake_case_    					=	["""FULL_STATE_DICT""", """LOCAL_STATE_DICT""", """SHARDED_STATE_DICT"""]
snake_case_    					=	"""2.0.1"""
snake_case_    					=	["""pdsh""", """standard""", """openmpi""", """mvapich"""]
snake_case_    					=	["""default""", """reduce-overhead""", """max-autotune"""]

snake_case_    					=	{""">""": op.gt, """>=""": op.ge, """==""": op.eq, """!=""": op.ne, """<=""": op.le, """<""": op.lt}

# These are the args for `torch.distributed.launch` for pytorch < 1.9
snake_case_    					=	[
    """nnodes""",
    """nproc_per_node""",
    """rdzv_backend""",
    """rdzv_endpoint""",
    """rdzv_id""",
    """rdzv_conf""",
    """standalone""",
    """max_restarts""",
    """monitor_interval""",
    """start_method""",
    """role""",
    """module""",
    """m""",
    """no_python""",
    """run_path""",
    """log_dir""",
    """r""",
    """redirects""",
    """t""",
    """tee""",
    """node_rank""",
    """master_addr""",
    """master_port""",
]

snake_case_    					=	["""DEEPSPEED""", """MULTI_GPU""", """FSDP""", """MEGATRON_LM"""]
snake_case_    					=	["""DEEPSPEED""", """MULTI_XPU""", """FSDP"""]





