





import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

SCREAMING_SNAKE_CASE_						       =	yaml.safe_load(
    """\\nname: \"\"\nallow_empty: false\nallow_empty_text: true\nsubsections:\n  - name: \"Dataset Card for X\" # First-level markdown heading\n    allow_empty: false\n    allow_empty_text: true\n    subsections:\n      - name: \"Table of Contents\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections: null\n      - name: \"Dataset Description\"\n        allow_empty: false\n        allow_empty_text: false\n        subsections:\n          - name: \"Dataset Summary\"\n            allow_empty: false\n            allow_empty_text: false\n            subsections: null\n          - name: \"Supported Tasks and Leaderboards\"\n            allow_empty: true\n            allow_empty_text: true\n            subsections: null\n          - name: Languages\n            allow_empty: false\n            allow_empty_text: true\n            subsections: null\n"""
)


SCREAMING_SNAKE_CASE_						       =	{
    """name""": """root""",
    """text""": """""",
    """is_empty_text""": True,
    """subsections""": [
        {
            """name""": """Dataset Card for My Dataset""",
            """text""": """""",
            """is_empty_text""": True,
            """subsections""": [
                {"""name""": """Table of Contents""", """text""": """Some text here.""", """is_empty_text""": False, """subsections""": []},
                {
                    """name""": """Dataset Description""",
                    """text""": """Some text here.""",
                    """is_empty_text""": False,
                    """subsections""": [
                        {
                            """name""": """Dataset Summary""",
                            """text""": """Some text here.""",
                            """is_empty_text""": False,
                            """subsections""": [],
                        },
                        {
                            """name""": """Supported Tasks and Leaderboards""",
                            """text""": """""",
                            """is_empty_text""": True,
                            """subsections""": [],
                        },
                        {"""name""": """Languages""", """text""": """Language Text""", """is_empty_text""": False, """subsections""": []},
                    ],
                },
            ],
        }
    ],
}


SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""


SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n#### Extra Ignored Subsection\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""

SCREAMING_SNAKE_CASE_						       =	{
    """name""": """root""",
    """text""": """""",
    """is_empty_text""": True,
    """subsections""": [
        {
            """name""": """Dataset Card for My Dataset""",
            """text""": """""",
            """is_empty_text""": True,
            """subsections""": [
                {"""name""": """Table of Contents""", """text""": """Some text here.""", """is_empty_text""": False, """subsections""": []},
                {
                    """name""": """Dataset Description""",
                    """text""": """Some text here.""",
                    """is_empty_text""": False,
                    """subsections""": [
                        {
                            """name""": """Dataset Summary""",
                            """text""": """Some text here.""",
                            """is_empty_text""": False,
                            """subsections""": [
                                {
                                    """name""": """Extra Ignored Subsection""",
                                    """text""": """""",
                                    """is_empty_text""": True,
                                    """subsections""": [],
                                }
                            ],
                        },
                        {
                            """name""": """Supported Tasks and Leaderboards""",
                            """text""": """""",
                            """is_empty_text""": True,
                            """subsections""": [],
                        },
                        {"""name""": """Languages""", """text""": """Language Text""", """is_empty_text""": False, """subsections""": []},
                    ],
                },
            ],
        }
    ],
}

SCREAMING_SNAKE_CASE_						       =	"""\\n---\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""

SCREAMING_SNAKE_CASE_						       =	(
    """The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README."""
)

SCREAMING_SNAKE_CASE_						       =	"""\\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""

SCREAMING_SNAKE_CASE_						       =	(
    """The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README."""
)

SCREAMING_SNAKE_CASE_						       =	"""\\n---\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""

SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README."""

SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""
SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored)."""


SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n"""
SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found 'None'."""

SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Languages\nLanguage Text\n"""

SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`."""


SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\n"""

SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty."""

SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""
SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README."""

SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n# Dataset Card My Dataset\n"""

SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README."""

SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""

SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README."""

SCREAMING_SNAKE_CASE_						       =	""""""

SCREAMING_SNAKE_CASE_						       =	"""The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README."""

SCREAMING_SNAKE_CASE_						       =	"""\\n---\nlanguage:\n- zh\n- en\n---\n\n# Dataset Card for My Dataset\n# Dataset Card for My Dataset\n## Table of Contents\nSome text here.\n## Dataset Description\nSome text here.\n### Dataset Summary\nSome text here.\n### Supported Tasks and Leaderboards\n### Languages\nLanguage Text\n"""

SCREAMING_SNAKE_CASE_						       =	"""The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections."""



@pytest.mark.parametrize(
    """readme_md, expected_dict"""			,						[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Optional[Any]:


      '''simple docstring'''


      assert ReadMe.from_string(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     ).to_dict() == expected_dict



@pytest.mark.parametrize(
    """readme_md, expected_error"""			,						[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       List[str]:


      '''simple docstring'''


      with pytest.raises(_SCREAMING_SNAKE_CASE			,						match=re.escape(expected_error.format(path="""root"""     )     )     ):
            SCREAMING_SNAKE_CASE		=						ReadMe.from_string(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )
            readme.validate()



@pytest.mark.parametrize(
    """readme_md, expected_error"""			,						[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Any:


      '''simple docstring'''


      with pytest.raises(_SCREAMING_SNAKE_CASE			,						match=re.escape(expected_error.format(path="""root"""     )     )     ):
            ReadMe.from_string(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )



@pytest.mark.parametrize(
    """readme_md,"""			,						[
        (README_MULTIPLE_SAME_HEADING_1),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       List[str]:


      '''simple docstring'''


      ReadMe.from_string(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						suppress_parsing_errors=_SCREAMING_SNAKE_CASE     )



@pytest.mark.parametrize(
    """readme_md, expected_dict"""			,						[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Optional[Any]:


      '''simple docstring'''


      with tempfile.TemporaryDirectory() as tmp_dir:
            SCREAMING_SNAKE_CASE		=						Path(_SCREAMING_SNAKE_CASE     ) / """README.md"""
            with open(_SCREAMING_SNAKE_CASE			,						"""w+"""     ) as readme_file:
                  readme_file.write(_SCREAMING_SNAKE_CASE     )
            SCREAMING_SNAKE_CASE		=						ReadMe.from_readme(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     ).to_dict()
            assert out["name"] == path
            assert out["text"] == ""
            assert out["is_empty_text"]
            assert out["subsections"] == expected_dict["subsections"]



@pytest.mark.parametrize(
    """readme_md, expected_error"""			,						[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Dict:


      '''simple docstring'''


      with tempfile.TemporaryDirectory() as tmp_dir:
            SCREAMING_SNAKE_CASE		=						Path(_SCREAMING_SNAKE_CASE     ) / """README.md"""
            with open(_SCREAMING_SNAKE_CASE			,						"""w+"""     ) as readme_file:
                  readme_file.write(_SCREAMING_SNAKE_CASE     )
            SCREAMING_SNAKE_CASE		=						expected_error.format(path=_SCREAMING_SNAKE_CASE     )
            with pytest.raises(_SCREAMING_SNAKE_CASE			,						match=re.escape(_SCREAMING_SNAKE_CASE     )     ):
                  SCREAMING_SNAKE_CASE		=						ReadMe.from_readme(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )
                  readme.validate()



@pytest.mark.parametrize(
    """readme_md, expected_error"""			,						[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Optional[int]:


      '''simple docstring'''


      with tempfile.TemporaryDirectory() as tmp_dir:
            SCREAMING_SNAKE_CASE		=						Path(_SCREAMING_SNAKE_CASE     ) / """README.md"""
            with open(_SCREAMING_SNAKE_CASE			,						"""w+"""     ) as readme_file:
                  readme_file.write(_SCREAMING_SNAKE_CASE     )
            SCREAMING_SNAKE_CASE		=						expected_error.format(path=_SCREAMING_SNAKE_CASE     )
            with pytest.raises(_SCREAMING_SNAKE_CASE			,						match=re.escape(_SCREAMING_SNAKE_CASE     )     ):
                  ReadMe.from_readme(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )






@pytest.mark.parametrize(
    """readme_md,"""			,						[
        (README_MULTIPLE_SAME_HEADING_1),
    ]			,						)
def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       Any:


      '''simple docstring'''


      with tempfile.TemporaryDirectory() as tmp_dir:
            SCREAMING_SNAKE_CASE		=						Path(_SCREAMING_SNAKE_CASE     ) / """README.md"""
            with open(_SCREAMING_SNAKE_CASE			,						"""w+"""     ) as readme_file:
                  readme_file.write(_SCREAMING_SNAKE_CASE     )
            ReadMe.from_readme(_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						suppress_parsing_errors=_SCREAMING_SNAKE_CASE     )









import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


SCREAMING_SNAKE_CASE_						       =	"""\
    Text data.
    Second line of data."""

SCREAMING_SNAKE_CASE_						       =	"""file"""



@pytest.fixture(scope="""session"""     )
def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       Union[str, Any]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						tmp_path_factory.mktemp("""data"""     ) / (FILE_PATH + """.zstd""")
      SCREAMING_SNAKE_CASE		=						bytes(_SCREAMING_SNAKE_CASE			,						"""utf-8"""     )
      with zstd.open(_SCREAMING_SNAKE_CASE			,						"""wb"""     ) as f:
            f.write(_SCREAMING_SNAKE_CASE     )
      return path



@pytest.fixture
def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       List[Any]:


      '''simple docstring'''


      with open(os.path.join(tmpfs.local_root_dir			,						_SCREAMING_SNAKE_CASE     )			,						"""w"""     ) as f:
            f.write(_SCREAMING_SNAKE_CASE     )
      return FILE_PATH



@pytest.mark.parametrize("""compression_format"""			,						["""gzip""", """xz""", """zstd"""]     )
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       Tuple:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						{"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_path}
      SCREAMING_SNAKE_CASE		=						input_paths[compression_format]
      SCREAMING_SNAKE_CASE		=						tmp_path / """cache"""
      SCREAMING_SNAKE_CASE		=						DownloadConfig(cache_dir=_SCREAMING_SNAKE_CASE			,						extract_compressed_file=_SCREAMING_SNAKE_CASE     )
      SCREAMING_SNAKE_CASE		=						cached_path(_SCREAMING_SNAKE_CASE			,						download_config=_SCREAMING_SNAKE_CASE     )
      with open(_SCREAMING_SNAKE_CASE     ) as f:
            SCREAMING_SNAKE_CASE		=						f.read()
      with open(_SCREAMING_SNAKE_CASE     ) as f:
            SCREAMING_SNAKE_CASE		=						f.read()
      assert extracted_file_content == expected_file_content



@pytest.mark.parametrize("""default_extracted"""			,						[True, False]     )
@pytest.mark.parametrize("""default_cache_dir"""			,						[True, False]     )
def        __lowercase       (				_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE			,						_SCREAMING_SNAKE_CASE     )			->       List[str]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						"""custom_cache"""
      SCREAMING_SNAKE_CASE		=						"""custom_extracted_dir"""
      SCREAMING_SNAKE_CASE		=						tmp_path / """custom_extracted_path"""
      if default_extracted:
            SCREAMING_SNAKE_CASE		=						("""downloads""" if default_cache_dir else custom_cache_dir, """extracted""")
      else:
            monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_DIR"""			,						_SCREAMING_SNAKE_CASE     )
            monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""			,						str(_SCREAMING_SNAKE_CASE     )     )
            SCREAMING_SNAKE_CASE		=						custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

      SCREAMING_SNAKE_CASE		=						xz_file
      SCREAMING_SNAKE_CASE		=						(
          DownloadConfig(extract_compressed_file=_SCREAMING_SNAKE_CASE     )
          if default_cache_dir
          else DownloadConfig(cache_dir=tmp_path / custom_cache_dir			,						extract_compressed_file=_SCREAMING_SNAKE_CASE     )
      )
      SCREAMING_SNAKE_CASE		=						cached_path(_SCREAMING_SNAKE_CASE			,						download_config=_SCREAMING_SNAKE_CASE     )
      assert Path(_SCREAMING_SNAKE_CASE     ).parent.parts[-2:] == expected



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       int:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						str(Path(_SCREAMING_SNAKE_CASE     ).resolve()     )
      assert cached_path(_SCREAMING_SNAKE_CASE     ) == text_file
      # relative path
      SCREAMING_SNAKE_CASE		=						str(Path(_SCREAMING_SNAKE_CASE     ).resolve().relative_to(Path(os.getcwd()     )     )     )
      assert cached_path(_SCREAMING_SNAKE_CASE     ) == text_file



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       Dict:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						str(tmp_path.resolve() / """__missing_file__.txt"""     )
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            cached_path(_SCREAMING_SNAKE_CASE     )
      # relative path
      SCREAMING_SNAKE_CASE		=						"""./__missing_file__.txt"""
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            cached_path(_SCREAMING_SNAKE_CASE     )



def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       str:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						get_from_cache(F"""tmp://{tmpfs_file}"""     )
      with open(_SCREAMING_SNAKE_CASE     ) as f:
            SCREAMING_SNAKE_CASE		=						f.read()
      assert output_file_content == FILE_CONTENT



@patch("""datasets.config.HF_DATASETS_OFFLINE"""			,						_SCREAMING_SNAKE_CASE     )
def        __lowercase       (				)			->       Dict:


      '''simple docstring'''


      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            cached_path("""https://huggingface.co"""     )



@patch("""datasets.config.HF_DATASETS_OFFLINE"""			,						_SCREAMING_SNAKE_CASE     )
def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       Union[str, Any]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						tmp_path_factory.mktemp("""data"""     ) / """file.html"""
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            http_get("""https://huggingface.co"""			,						temp_file=_SCREAMING_SNAKE_CASE     )
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            http_head("""https://huggingface.co"""     )



@patch("""datasets.config.HF_DATASETS_OFFLINE"""			,						_SCREAMING_SNAKE_CASE     )
def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       Optional[int]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						tmp_path_factory.mktemp("""data"""     ) / """file.html"""
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            ftp_get("""ftp://huggingface.co"""			,						temp_file=_SCREAMING_SNAKE_CASE     )
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            ftp_head("""ftp://huggingface.co"""     )



@patch("""datasets.config.HF_DATASETS_OFFLINE"""			,						_SCREAMING_SNAKE_CASE     )
def        __lowercase       (				_SCREAMING_SNAKE_CASE     )			->       int:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE		=						tmp_path_factory.mktemp("""data"""     ) / """file.html"""
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            fsspec_get("""s3://huggingface.co"""			,						temp_file=_SCREAMING_SNAKE_CASE     )
      with pytest.raises(_SCREAMING_SNAKE_CASE     ):
            fsspec_head("""s3://huggingface.co"""     )


