
import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

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


lowercase_ 				=			{
    """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""": []},
                    ],
                },
            ],
        }
    ],
}


lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""


lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
#### Extra Ignored Subsection
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

lowercase_ 				=			{
    """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""": []},
                    ],
                },
            ],
        }
    ],
}

lowercase_ 				=			"""\
---
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

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

lowercase_ 				=			"""\
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

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

lowercase_ 				=			"""\
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

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

lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
Language Text
"""
lowercase_ 				=			"""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)."""


lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
"""
lowercase_ 				=			"""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'."""

lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Languages
Language Text
"""

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


lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
"""

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

lowercase_ 				=			"""\
---
language:
- zh
- en
---

## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""
lowercase_ 				=			"""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."""

lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
# Dataset Card My Dataset
"""

lowercase_ 				=			"""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."""

lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

lowercase_ 				=			"""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."""

lowercase_ 				=			""""""

lowercase_ 				=			"""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."""

lowercase_ 				=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

lowercase_ 				=			"""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 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  assert ReadMe.from_string(snake_case       ,			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 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  with pytest.raises(snake_case       ,			match=re.escape(expected_error.format(path='''root'''							)							)							):
    __SCREAMING_SNAKE_CASE      :	int					=		ReadMe.from_string(snake_case       ,			snake_case							)
    readme.validate()


@pytest.mark.parametrize(
    '''readme_md, expected_error'''       ,			[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]       ,			)
def 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  with pytest.raises(snake_case       ,			match=re.escape(expected_error.format(path='''root'''							)							)							):
    ReadMe.from_string(snake_case       ,			snake_case							)


@pytest.mark.parametrize(
    '''readme_md,'''       ,			[
        (README_MULTIPLE_SAME_HEADING_1),
    ]       ,			)
def 							a__					(							snake_case							):





  """simple docstring"""
  ReadMe.from_string(snake_case       ,			snake_case       ,			suppress_parsing_errors=snake_case							)


@pytest.mark.parametrize(
    '''readme_md, expected_dict'''       ,			[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]       ,			)
def 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  with tempfile.TemporaryDirectory() as tmp_dir:
    __SCREAMING_SNAKE_CASE      :	Any					=		Path(snake_case							) / '''README.md'''
    with open(snake_case       ,			'''w+'''							) as readme_file:
      readme_file.write(snake_case							)
    __SCREAMING_SNAKE_CASE      :	Tuple					=		ReadMe.from_readme(snake_case       ,			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 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  with tempfile.TemporaryDirectory() as tmp_dir:
    __SCREAMING_SNAKE_CASE      :	Optional[int]					=		Path(snake_case							) / '''README.md'''
    with open(snake_case       ,			'''w+'''							) as readme_file:
      readme_file.write(snake_case							)
    __SCREAMING_SNAKE_CASE      :	str					=		expected_error.format(path=snake_case							)
    with pytest.raises(snake_case       ,			match=re.escape(snake_case							)							):
      __SCREAMING_SNAKE_CASE      :	Dict					=		ReadMe.from_readme(snake_case       ,			snake_case							)
      readme.validate()


@pytest.mark.parametrize(
    '''readme_md, expected_error'''       ,			[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]       ,			)
def 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  with tempfile.TemporaryDirectory() as tmp_dir:
    __SCREAMING_SNAKE_CASE      :	int					=		Path(snake_case							) / '''README.md'''
    with open(snake_case       ,			'''w+'''							) as readme_file:
      readme_file.write(snake_case							)
    __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		expected_error.format(path=snake_case							)
    with pytest.raises(snake_case       ,			match=re.escape(snake_case							)							):
      ReadMe.from_readme(snake_case       ,			snake_case							)


@pytest.mark.parametrize(
    '''readme_md,'''       ,			[
        (README_MULTIPLE_SAME_HEADING_1),
    ]       ,			)
def 							a__					(							snake_case							):





  """simple docstring"""
  with tempfile.TemporaryDirectory() as tmp_dir:
    __SCREAMING_SNAKE_CASE      :	List[str]					=		Path(snake_case							) / '''README.md'''
    with open(snake_case       ,			'''w+'''							) as readme_file:
      readme_file.write(snake_case							)
    ReadMe.from_readme(snake_case       ,			snake_case       ,			suppress_parsing_errors=snake_case							)





'''simple docstring'''





from __future__ import annotations




def lowerCAmelCase    (__A    ,      __A):



     """simple docstring"""



     if len(__A) == 0:
          return False
     _a           =    len(__A) // 2
     if a_list[midpoint] == item:
          return True
     if item < a_list[midpoint]:
          return binary_search(a_list[:midpoint]    ,      __A)
     else:
          return binary_search(a_list[midpoint + 1 :]    ,      __A)


if __name__ == "__main__":
  lowercase_									=    input("Enter numbers separated by comma:\n").strip()
  lowercase_									=    [int(item.strip()) for item in user_input.split(",")]
  lowercase_									=    int(input("Enter the number to be found in the list:\n").strip())
  lowercase_									=    "" if binary_search(sequence, target) else "not "
  print(F"""{target} was {not_str}found in {sequence}""")



