


"""simple docstring"""






import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

UpperCamelCase__				:Optional[int]			   =	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
"""
)


UpperCamelCase__				:Dict			   =	{
    """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""": []},
                    ],
                },
            ],
        }
    ],
}


UpperCamelCase__				:List[Any]			   =	"""\
---
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
"""


UpperCamelCase__				:Tuple			   =	"""\
---
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
"""

UpperCamelCase__				:Optional[int]			   =	{
    """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""": []},
                    ],
                },
            ],
        }
    ],
}

UpperCamelCase__				:Tuple			   =	"""\
---
---
# 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
"""

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

UpperCamelCase__				:Any			   =	"""\
# 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
"""

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

UpperCamelCase__				:Optional[Any]			   =	"""\
---
# 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
"""

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

UpperCamelCase__				:Tuple			   =	"""\
---
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
"""
UpperCamelCase__				:Dict			   =	"""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)."""


UpperCamelCase__				:Tuple			   =	"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
"""
UpperCamelCase__				:List[str]			   =	"""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'."""

UpperCamelCase__				:int			   =	"""\
---
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
"""

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


UpperCamelCase__				:str			   =	"""\
---
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
"""

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

UpperCamelCase__				:Dict			   =	"""\
---
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
"""
UpperCamelCase__				:int			   =	"""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."""

UpperCamelCase__				:Any			   =	"""\
---
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
"""

UpperCamelCase__				:Optional[int]			   =	"""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."""

UpperCamelCase__				:Any			   =	"""\
---
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
"""

UpperCamelCase__				:Union[str, Any]			   =	"""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."""

UpperCamelCase__				:int			   =	""""""

UpperCamelCase__				:List[str]			   =	"""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."""

UpperCamelCase__				:Union[str, Any]			   =	"""\
---
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
"""

UpperCamelCase__				:int			   =	"""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__		)					->  Optional[Any]:
			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__		)					->  List[Any]:
			with pytest.raises(snake_case__       ,					match=re.escape(expected_error.format(path='''root'''		)		)		):
						_UpperCamelCase					:Dict					     =	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__		)					->  Any:
			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__		)					->  Optional[int]:
			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__		)					->  Dict:
			with tempfile.TemporaryDirectory() as tmp_dir:
						_UpperCamelCase					:Dict					     =	Path(snake_case__		) / '''README.md'''
						with open(snake_case__       ,					'''w+'''		) as readme_file:
									readme_file.write(snake_case__		)
						_UpperCamelCase					:int					     =	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__		)					->  List[str]:
			with tempfile.TemporaryDirectory() as tmp_dir:
						_UpperCamelCase					:Any					     =	Path(snake_case__		) / '''README.md'''
						with open(snake_case__       ,					'''w+'''		) as readme_file:
									readme_file.write(snake_case__		)
						_UpperCamelCase					:List[Any]					     =	expected_error.format(path=snake_case__		)
						with pytest.raises(snake_case__       ,					match=re.escape(snake_case__		)		):
									_UpperCamelCase					:int					     =	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__		)					->  int:
			with tempfile.TemporaryDirectory() as tmp_dir:
						_UpperCamelCase					:Union[str, Any]					     =	Path(snake_case__		) / '''README.md'''
						with open(snake_case__       ,					'''w+'''		) as readme_file:
									readme_file.write(snake_case__		)
						_UpperCamelCase					:Optional[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__		)					->  Optional[int]:
			with tempfile.TemporaryDirectory() as tmp_dir:
						_UpperCamelCase					:Tuple					     =	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"""






# Logistic Regression from scratch

# In[62]:

# In[63]:

# importing all the required libraries

import numpy as np
from matplotlib import pyplot as plt
from sklearn import datasets





def 				A_       ( snake_case__		)					->  str:
			return 1 / (1 + np.exp(-z		))





def 				A_       ( snake_case__       ,					snake_case__		)					->  str:
			return (-y * np.log(snake_case__		) - (1 - y) * np.log(1 - h		)).mean()





def 				A_       ( snake_case__       ,					snake_case__       ,					snake_case__		)					->  Union[str, Any]:
			_UpperCamelCase					:Tuple					     =	np.dot(snake_case__       ,					snake_case__		)
			return np.sum(y * scores - np.log(1 + np.exp(snake_case__		)		)		)





def 				A_       ( snake_case__       ,					snake_case__       ,					snake_case__       ,					snake_case__=7_00_00		)					->  Optional[int]:
			_UpperCamelCase					:Union[str, Any]					     =	np.zeros(x.shape[1]		)

			for iterations in range(snake_case__		):
						_UpperCamelCase					:Optional[int]					     =	np.dot(snake_case__       ,					snake_case__		)
						_UpperCamelCase					:Tuple					     =	sigmoid_function(snake_case__		)
						_UpperCamelCase					:Optional[Any]					     =	np.dot(x.T       ,					h - y		) / y.size
						_UpperCamelCase					:int					     =	theta - alpha * gradient  # updating the weights
						_UpperCamelCase					:Union[str, Any]					     =	np.dot(snake_case__       ,					snake_case__		)
						_UpperCamelCase					:Dict					     =	sigmoid_function(snake_case__		)
						_UpperCamelCase					:Optional[int]					     =	cost_function(snake_case__       ,					snake_case__		)
						if iterations % 1_00 == 0:
									print(f"loss: {j} \t"		)  # printing the loss after every 100 iterations
			return theta


# In[68]:

if __name__ == "__main__":
					UpperCamelCase__				:Union[str, Any]			   =	datasets.load_iris()
					UpperCamelCase__				:Dict			   =	iris.data[:, :2]
					UpperCamelCase__				:Any			   =	(iris.target != 0) * 1

					UpperCamelCase__				:Tuple			   =	0.1
					UpperCamelCase__				:List[str]			   =	logistic_reg(alpha, x, y, max_iterations=70_000)
					print("""theta: """, theta)  # printing the theta i.e our weights vector





					def 				A_       ( snake_case__		)					->  Optional[Any]:
								return sigmoid_function(
								    np.dot(snake_case__       ,					snake_case__		)		)  # predicting the value of probability from the logistic regression algorithm

					plt.figure(figsize=(10, 6))
					plt.scatter(x[y == 0][:, 0], x[y == 0][:, 1], color="""b""", label="""0""")
					plt.scatter(x[y == 1][:, 0], x[y == 1][:, 1], color="""r""", label="""1""")
					((UpperCamelCase__)   ,			(UpperCamelCase__))				:Union[str, Any]			   =	(x[:, 0].min(), x[:, 0].max())
					((UpperCamelCase__)   ,			(UpperCamelCase__))				:Tuple			   =	(x[:, 1].min(), x[:, 1].max())
					((UpperCamelCase__)   ,			(UpperCamelCase__))				:Tuple			   =	np.meshgrid(np.linspace(xa_min, xa_max), np.linspace(xa_min, xa_max))
					UpperCamelCase__				:List[Any]			   =	np.c_[xxa.ravel(), xxa.ravel()]
					UpperCamelCase__				:List[Any]			   =	predict_prob(grid).reshape(xxa.shape)
					plt.contour(xxa, xxa, probs, [0.5], linewidths=1, colors="""black""")

					plt.legend()




					plt.show()

