





"""simple docstring"""




import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


a						: Union[str, Any]     	=			pytest.mark.integration






@pytest.mark.parametrize("path"    ,       ["paws", "csv"]					)
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Optional[int]    ,       _lowercase						:    Tuple					) ->List[Any]:






	'''simple docstring'''






	inspect_dataset(_lowerCamelCase    ,       _lowerCamelCase					)
	a      :		List[Any]	=				path + """.py"""
	assert script_name in os.listdir(_lowerCamelCase					)
	assert "__pycache__" not in os.listdir(_lowerCamelCase					)






@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"					)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"					)
@pytest.mark.parametrize("path"    ,       ["accuracy"]					)
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Any    ,       _lowercase						:    Dict					) ->int:






	'''simple docstring'''






	inspect_metric(_lowerCamelCase    ,       _lowerCamelCase					)
	a      :		Tuple	=				path + """.py"""
	assert script_name in os.listdir(_lowerCamelCase					)
	assert "__pycache__" not in os.listdir(_lowerCamelCase					)






@pytest.mark.parametrize(
    "path, config_name, expected_splits"    ,       [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]    ,       )
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Tuple    ,       _lowercase						:    Optional[int]    ,       _lowercase						:    Tuple					) ->Optional[int]:






	'''simple docstring'''






	a      :		str	=				get_dataset_config_info(_lowerCamelCase    ,       config_name=_lowerCamelCase					)
	assert info.config_name == config_name
	assert list(info.splits.keys()					) == expected_splits






@pytest.mark.parametrize(
    "path, config_name, expected_exception"    ,       [
        ("paws", None, ValueError),
    ]    ,       )
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Union[str, Any]    ,       _lowercase						:    Optional[Any]    ,       _lowercase						:    List[str]					) ->Dict:






	'''simple docstring'''






	with pytest.raises(_lowerCamelCase					):
		get_dataset_config_info(_lowerCamelCase    ,       config_name=_lowerCamelCase					)






@pytest.mark.parametrize(
    "path, expected"    ,       [
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]    ,       )
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Tuple    ,       _lowercase						:    Union[str, Any]					) ->Tuple:






	'''simple docstring'''






	a      :		Dict	=				get_dataset_config_names(_lowerCamelCase					)
	assert expected in config_names






@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"    ,       [
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]    ,       )
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    int    ,       _lowercase						:    str    ,       _lowercase						:    Dict					) ->Optional[Any]:






	'''simple docstring'''






	a      :		Any	=				get_dataset_infos(_lowerCamelCase					)
	assert list(infos.keys()					) == expected_configs
	a      :		Any	=				expected_configs[0]
	assert expected_config in infos
	a      :		int	=				infos[expected_config]
	assert info.config_name == expected_config
	assert list(info.splits.keys()					) == expected_splits_in_first_config






@pytest.mark.parametrize(
    "path, expected_config, expected_splits"    ,       [
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]    ,       )
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    int    ,       _lowercase						:    Union[str, Any]    ,       _lowercase						:    Optional[int]					) ->int:






	'''simple docstring'''






	a      :		Optional[Any]	=				get_dataset_infos(_lowerCamelCase					)
	assert expected_config in infos
	a      :		str	=				infos[expected_config]
	assert info.config_name == expected_config
	assert list(info.splits.keys()					) == expected_splits







@pytest.mark.parametrize(
    "path, config_name, expected_exception"    ,       [
        ("paws", None, ValueError),
    ]    ,       )
def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Tuple    ,       _lowercase						:    Union[str, Any]    ,       _lowercase						:    Optional[Any]					) ->int:






	'''simple docstring'''






	with pytest.raises(_lowerCamelCase					):
		get_dataset_split_names(_lowerCamelCase    ,       config_name=_lowerCamelCase					)



"""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_		):
     _UpperCamelCase							:			Union[str, Any]							=		""
     _UpperCamelCase							:			str							=		"hf-legacy"  # "hf://"" is reserved for hffs






     def __init__(		self				,     a__ = None				,     a__ = None				,     **a__				,     ):
       super().__init__(self				,     **a__  )
       _lowerCAmelCase						:       Any  			=     repo_info
       _lowerCAmelCase						:       Optional[Any]  			=     token
       _lowerCAmelCase						:       Optional[int]  			=     None






     def     __A  (		self  ):
       if self.dir_cache is None:
         _lowerCAmelCase						:       Optional[Any]  			=     {}
         for hf_file in self.repo_info.siblings:
           # TODO(QL): add sizes
           _lowerCAmelCase						:       Any  			=     {
               """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     __A  (		self				,     a__				,     a__ = "rb"				,     **a__				,     ):
       if not isinstance(self.repo_info				,     a__  ):
         raise NotImplementedError(F"Open is only implemented for dataset repositories, but got {self.repo_info}"  )
       _lowerCAmelCase						:       Tuple  			=     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     __A  (		self				,     a__				,     **a__  ):
       self._get_dirs()
       _lowerCAmelCase						:       Union[str, Any]  			=     self._strip_protocol(a__  )
       if path in self.dir_cache:
         return self.dir_cache[path]
       else:
         raise FileNotFoundError(a__  )






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




