

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







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









'''simple docstring'''

import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def    A_  ( snake_case ):
  SCREAMING_SNAKE_CASE:List[Any]						      =					[]
  for line in lines:
    SCREAMING_SNAKE_CASE:Any						      =					re.sub(r"#.*"      ,       ""      ,       snake_case )  # remove comments
    if line:
      filtered_lines.append(snake_case )
  SCREAMING_SNAKE_CASE:int						      =					"\n".join(snake_case )

  # Make a hash from all this code
  SCREAMING_SNAKE_CASE:str						      =					full_str.encode("utf-8" )
  return shaaaa(snake_case ).hexdigest()


# get importable module names and hash for caching
A_       						=							{
    "csv": (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    "json": (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    "pandas": (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    "parquet": (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    "arrow": (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    "text": (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    "imagefolder": (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    "audiofolder": (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
A_       						=							{
    ".csv": ("csv", {}),
    ".tsv": ("csv", {"sep": "\t"}),
    ".json": ("json", {}),
    ".jsonl": ("json", {}),
    ".parquet": ("parquet", {}),
    ".arrow": ("arrow", {}),
    ".txt": ("text", {}),
}
_EXTENSION_TO_MODULE.update({ext: ("imagefolder", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("imagefolder", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ("audiofolder", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("audiofolder", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
A_       						=							{"imagefolder", "audiofolder"}

# Used to filter data files based on extensions given a module name
A_       						=							{}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
    _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append(".zip")


_MODULE_TO_EXTENSIONS["audiofolder"].append(".zip")






