





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__											= 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"
)


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

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

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

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

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


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

UpperCamelCase__											= """\
---
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__											= """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__											= """\
---
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__											= """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__											= """\
---
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__											= """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__											= """"""

UpperCamelCase__											= """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__											= """\
---
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__											= """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     _UpperCamelCase     (a__   :List[str]   ,			a__   :List[str]       ):






							"""simple docstring"""





							assert ReadMe.from_string(_lowerCAmelCase   ,			_lowerCAmelCase       ).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     _UpperCamelCase     (a__   :Tuple   ,			a__   :int       ):






							"""simple docstring"""





							with pytest.raises(_lowerCAmelCase   ,			match=re.escape(expected_error.format(path="""root"""       )       )       ):
														UpperCamelCase__     :   List[str]				     =			ReadMe.from_string(_lowerCAmelCase   ,			_lowerCAmelCase       )
														readme.validate()





@pytest.mark.parametrize(
    """readme_md, expected_error"""   ,			[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]   ,			)
def     _UpperCamelCase     (a__   :str   ,			a__   :str       ):






							"""simple docstring"""





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





@pytest.mark.parametrize(
    """readme_md,"""   ,			[
        (README_MULTIPLE_SAME_HEADING_1),
    ]   ,			)
def     _UpperCamelCase     (a__   :List[str]       ):






							"""simple docstring"""





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





@pytest.mark.parametrize(
    """readme_md, expected_dict"""   ,			[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]   ,			)
def     _UpperCamelCase     (a__   :int   ,			a__   :List[str]       ):






							"""simple docstring"""





							with tempfile.TemporaryDirectory() as tmp_dir:
														UpperCamelCase__     :   str				     =			Path(_lowerCAmelCase       ) / "README.md"
														with open(_lowerCAmelCase   ,			"""w+"""       ) as readme_file:
																					readme_file.write(_lowerCAmelCase       )
														UpperCamelCase__     :   Any				     =			ReadMe.from_readme(_lowerCAmelCase   ,			_lowerCAmelCase       ).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     _UpperCamelCase     (a__   :List[str]   ,			a__   :int       ):






							"""simple docstring"""





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





@pytest.mark.parametrize(
    """readme_md, expected_error"""   ,			[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]   ,			)
def     _UpperCamelCase     (a__   :Any   ,			a__   :Tuple       ):






							"""simple docstring"""





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





@pytest.mark.parametrize(
    """readme_md,"""   ,			[
        (README_MULTIPLE_SAME_HEADING_1),
    ]   ,			)
def     _UpperCamelCase     (a__   :Dict       ):






							"""simple docstring"""





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











import heapq
import sys

import numpy as np

UpperCamelCase__											= tuple[int, int]

class        __SCREAMING_SNAKE_CASE					:






							def __init__(						self  ):
														UpperCamelCase__				     =			[]
														UpperCamelCase__				     =			set()






							def 				_lowerCamelCase		(						self  ):
														if not self.empty():
																					return self.elements[0][0]
														else:
																					return float("""inf"""  )






							def 				_lowerCamelCase		(						self  ):
														return len(self.elements  ) == 0






							def 				_lowerCamelCase		(						self  , __lowerCAmelCase  , __lowerCAmelCase  ):
														if item not in self.set:
																					heapq.heappush(self.elements  , (priority, item)  )
																					self.set.add(__lowerCAmelCase  )
														else:
																					# update
																					# print("update", item)
																					UpperCamelCase__				     =			[]
																					((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			heapq.heappop(self.elements  )
																					while x != item:
																												temp.append((pri, x)  )
																												((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			heapq.heappop(self.elements  )
																					temp.append((priority, item)  )
																					for pro, xxx in temp:
																												heapq.heappush(self.elements  , (pro, xxx)  )






							def 				_lowerCamelCase		(						self  , __lowerCAmelCase  ):
														if item in self.set:
																					self.set.remove(__lowerCAmelCase  )
																					UpperCamelCase__				     =			[]
																					((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			heapq.heappop(self.elements  )
																					while x != item:
																												temp.append((pro, x)  )
																												((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			heapq.heappop(self.elements  )
																					for prito, yyy in temp:
																												heapq.heappush(self.elements  , (prito, yyy)  )






							def 				_lowerCamelCase		(						self  ):
														return self.elements[0][1]







							def 				_lowerCamelCase		(						self  ):
														((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			heapq.heappop(self.elements  )
														self.set.remove(__lowerCAmelCase  )
														return (priority, item)






def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos       ):






							"""simple docstring"""





							UpperCamelCase__				     =			np.array(a__       )
							UpperCamelCase__				     =			np.array(a__       )
							return np.linalg.norm(a - b       )





def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos       ):






							"""simple docstring"""





							return consistent_heuristic(a__   ,			a__       ) // t





def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos       ):






							"""simple docstring"""





							return abs(p[0] - goal[0]       ) + abs(p[1] - goal[1]       )





def     _UpperCamelCase     (a__   :TPos   ,			a__   :int   ,			a__   :TPos   ,			a__   :dict[TPos, float]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			g_function[start] + Wa * heuristics[i](a__   ,			a__       )
							return ans





def     _UpperCamelCase     (a__   :Optional[Any]   ,			a__   :Union[str, Any]   ,			a__   :int       ):






							"""simple docstring"""





							UpperCamelCase__				     =			np.chararray((n, n)       )
							for i in range(a__       ):
														for j in range(a__       ):
																					UpperCamelCase__				     =			"""*"""

							for i in range(a__       ):
														for j in range(a__       ):
																					if (j, (n - 1) - i) in blocks:
																												UpperCamelCase__				     =			"""#"""

							UpperCamelCase__				     =			"""-"""
							UpperCamelCase__				     =			back_pointer[goal]
							while x != start:
														((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			x
														# print(x)
														UpperCamelCase__				     =			"""-"""
														UpperCamelCase__				     =			back_pointer[x]
							UpperCamelCase__				     =			"""-"""

							for i in range(a__       ):
														for j in range(a__       ):
																					if (i, j) == (0, n - 1):
																												print(grid[i][j]   ,			end=""" """       )
																												print("""<-- End position"""   ,			end=""" """       )
																					else:
																												print(grid[i][j]   ,			end=""" """       )
														print()
							print("""^"""       )
							print("""Start position"""       )
							print()
							print("""# is an obstacle"""       )
							print("""- is the path taken by algorithm"""       )
							print("""PATH TAKEN BY THE ALGORITHM IS:-"""       )
							UpperCamelCase__				     =			back_pointer[goal]
							while x != start:
														print(a__   ,			end=""" """       )
														UpperCamelCase__				     =			back_pointer[x]
							print(a__       )
							sys.exit()





def     _UpperCamelCase     (a__   :TPos       ):






							"""simple docstring"""





							if p[0] < 0 or p[0] > n - 1:
														return False
							if p[1] < 0 or p[1] > n - 1:
														return False
							return True





def     _UpperCamelCase     (a__   :List[Any]   ,			a__   :Tuple   ,			a__   :Union[str, Any]   ,			a__   :Any   ,			a__   :str   ,			a__   :Optional[Any]   ,			a__   :List[Any]   ,			a__   :List[str]   ,			):






							"""simple docstring"""





							for itera in range(a__       ):
														open_list[itera].remove_element(a__       )
							# print("s", s)
							# print("j", j)
							((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			s
							UpperCamelCase__				     =			(x - 1, y)
							UpperCamelCase__				     =			(x + 1, y)
							UpperCamelCase__				     =			(x, y + 1)
							UpperCamelCase__				     =			(x, y - 1)

							for neighbours in [left, right, up, down]:
														if neighbours not in blocks:
																					if valid(a__       ) and neighbours not in visited:
																												# print("neighbour", neighbours)
																												visited.add(a__       )
																												UpperCamelCase__				     =			-1
																												UpperCamelCase__				     =			float("""inf"""       )

																					if valid(a__       ) and g_function[neighbours] > g_function[s] + 1:
																												UpperCamelCase__				     =			g_function[s] + 1
																												UpperCamelCase__				     =			s
																												if neighbours not in close_list_anchor:
																																			open_list[0].put(a__   ,			key(a__   ,			0   ,			a__   ,			a__       )       )
																																			if neighbours not in close_list_inad:
																																										for var in range(1   ,			a__       ):
																																																	if key(a__   ,			a__   ,			a__   ,			a__       ) <= Wa * key(
																																																	    a__   ,			0   ,			a__   ,			a__       ):
																																																								open_list[j].put(
																																																								    a__   ,			key(a__   ,			a__   ,			a__   ,			a__       )       )





def     _UpperCamelCase     ():






							"""simple docstring"""





							UpperCamelCase__				     =			[]
							for x in range(1   ,			5       ):
														for y in range(1   ,			6       ):
																					some_list.append((x, y)       )

							for x in range(15   ,			20       ):
														some_list.append((x, 17)       )

							for x in range(10   ,			19       ):
														for y in range(1   ,			15       ):
																					some_list.append((x, y)       )

    # L block
							for x in range(1   ,			4       ):
														for y in range(12   ,			19       ):
																					some_list.append((x, y)       )
							for x in range(3   ,			13       ):
														for y in range(16   ,			19       ):
																					some_list.append((x, y)       )
							return some_list


UpperCamelCase__											= {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

UpperCamelCase__											= [
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
UpperCamelCase__											= make_common_ground()


UpperCamelCase__											= blocks_blk
# hyper parameters
UpperCamelCase__											= 1
UpperCamelCase__											= 1
UpperCamelCase__											= 20
UpperCamelCase__											= 3  # one consistent and two other inconsistent

# start and end destination
UpperCamelCase__											= (0, 0)
UpperCamelCase__											= (n - 1, n - 1)

UpperCamelCase__											= 1





def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos   ,			a__   :int       ):






							"""simple docstring"""





							UpperCamelCase__				     =			{start: 0, goal: float("""inf"""       )}
							UpperCamelCase__				     =			{start: -1, goal: -1}
							UpperCamelCase__				     =			[]
							UpperCamelCase__				     =			set()

							for i in range(a__       ):
														open_list.append(PriorityQueue()       )
														open_list[i].put(a__   ,			key(a__   ,			a__   ,			a__   ,			a__       )       )

							UpperCamelCase__				     =			[]
							UpperCamelCase__				     =			[]
							while open_list[0].minkey() < float("""inf"""       ):
														for i in range(1   ,			a__       ):
																					# print(open_list[0].minkey(), open_list[i].minkey())
																					if open_list[i].minkey() <= Wa * open_list[0].minkey():
																												global t
																												t += 1
																												if g_function[goal] <= open_list[i].minkey():
																																			if g_function[goal] < float("""inf"""       ):
																																										do_something(a__   ,			a__   ,			a__       )
																												else:
																																			UpperCamelCase__     ,     UpperCamelCase__				     =			open_list[i].top_show()
																																			visited.add(a__       )
																																			expand_state(
																																			    a__   ,			a__   ,			a__   ,			a__   ,			a__   ,			a__   ,			a__   ,			a__   ,			)
																																			close_list_inad.append(a__       )
																					else:
																												if g_function[goal] <= open_list[0].minkey():
																																			if g_function[goal] < float("""inf"""       ):
																																										do_something(a__   ,			a__   ,			a__       )
																												else:
																																			UpperCamelCase__				     =			open_list[0].top_show()
																																			visited.add(a__       )
																																			expand_state(
																																			    a__   ,			0   ,			a__   ,			a__   ,			a__   ,			a__   ,			a__   ,			a__   ,			)
																																			close_list_anchor.append(a__       )
							print("""No path found to goal"""       )
							print()
							for i in range(n - 1   ,			-1   ,			-1       ):
														for j in range(a__       ):
																					if (j, i) in blocks:
																												print("""#"""   ,			end=""" """       )
																					elif (j, i) in back_pointer:
																												if (j, i) == (n - 1, n - 1):
																																			print("""*"""   ,			end=""" """       )
																												else:
																																			print("""-"""   ,			end=""" """       )
																					else:
																												print("""*"""   ,			end=""" """       )
																					if (j, i) == (n - 1, n - 1):
																												print("""<-- End position"""   ,			end=""" """       )
														print()
							print("""^"""       )
							print("""Start position"""       )
							print()
							print("""# is an obstacle"""       )
							print("""- is the path taken by algorithm"""       )


if __name__ == "__main__":
					multi_a_star(start, goal, n_heuristic)




