



"""simple docstring"""
import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:int		=     tmp_path / """file.jsonl"""
						snake_case_					:Any		=     textwrap.dedent(
						    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """      )
						with open(_lowercase,   """w"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:List[Any]		=     tmp_path / """file_utf16_encoded.jsonl"""
						snake_case_					:str		=     textwrap.dedent(
						    """\
        {\"col_1\": -1}
        {\"col_1\": 1, \"col_2\": 2}
        {\"col_1\": 10, \"col_2\": 20}
        """      )
						with open(_lowercase,   """w""",   encoding="""utf-16"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:Union[str, Any]		=     tmp_path / """file_with_list_of_dicts.json"""
						snake_case_					:Dict		=     textwrap.dedent(
						    """\
        [
            {\"col_1\": -1},
            {\"col_1\": 1, \"col_2\": 2},
            {\"col_1\": 10, \"col_2\": 20}
        ]
        """      )
						with open(_lowercase,   """w"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.fixture
def   A_    (     _lowercase      ):







						'''simple docstring'''


						snake_case_					:List[Any]		=     tmp_path / """file_with_list_of_dicts_field.json"""
						snake_case_					:Any		=     textwrap.dedent(
						    """\
        {
            \"field1\": 1,
            \"field2\": \"aabb\",
            \"field3\": [
                {\"col_1\": -1},
                {\"col_1\": 1, \"col_2\": 2},
                {\"col_1\": 10, \"col_2\": 20}
            ]
        }
        """      )
						with open(_lowercase,   """w"""      ) as f:
												f.write(_lowercase      )
						return str(_lowercase      )
@pytest.mark.parametrize(
    """file_fixture, config_kwargs""",   [
        ("""jsonl_file""", {}),
        ("""jsonl_file_utf16_encoded""", {"""encoding""": """utf-16"""}),
        ("""json_file_with_list_of_dicts""", {}),
        ("""json_file_with_list_of_dicts_field""", {"""field""": """field3"""}),
    ],   )
def   A_    (     _lowercase,   _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Optional[Any]		=     Json(**_lowercase      )
						snake_case_					:int		=     json._generate_tables([[request.getfixturevalue(_lowercase      )]]      )
						snake_case_					:Optional[int]		=     pa.concat_tables([table for _, table in generator]      )
						assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}

@pytest.mark.parametrize(
    """file_fixture, config_kwargs""",   [
        (
            """jsonl_file""",
            {"""features""": Features({"""col_1""": Value("""int64"""      ), """col_2""": Value("""int64"""      ), """missing_col""": Value("""string"""      )}      )},
        ),
        (
            """json_file_with_list_of_dicts""",
            {"""features""": Features({"""col_1""": Value("""int64"""      ), """col_2""": Value("""int64"""      ), """missing_col""": Value("""string"""      )}      )},
        ),
        (
            """json_file_with_list_of_dicts_field""",
            {
                """field""": """field3""",
                """features""": Features(
                    {"""col_1""": Value("""int64"""      ), """col_2""": Value("""int64"""      ), """missing_col""": Value("""string"""      )}      ),
            },
        ),
    ],   )
def   A_    (     _lowercase,   _lowercase,   _lowercase      ):







						'''simple docstring'''


						snake_case_					:Dict		=     Json(**_lowercase      )
						snake_case_					:List[Any]		=     json._generate_tables([[request.getfixturevalue(_lowercase      )]]      )
						snake_case_					:Optional[Any]		=     pa.concat_tables([table for _, table in generator]      )
						assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}


'''simple docstring'''
import heapq







def 							A_  (    __SCREAMING_SNAKE_CASE    :	List[str]      ,  __SCREAMING_SNAKE_CASE    :	List[Any]      ,  __SCREAMING_SNAKE_CASE    :	str			)					->							Any:





  """simple docstring"""

  __A		:  Dict       				=		[(0, start)]  # cost from start node,end node
  __A		:  Union[str, Any]       				=		set()
  while heap:
    ((__A)				,       (__A))		:  int       				=		heapq.heappop(__SCREAMING_SNAKE_CASE			)
    if u in visited:
      continue
    visited.add(__SCREAMING_SNAKE_CASE			)
    if u == end:
      return cost
    for v, c in graph[u]:
      if v in visited:
        continue
      __A		:  List[str]       				=		cost + c
      heapq.heappush(__SCREAMING_SNAKE_CASE      ,  (next_item, v)			)
  return -1


A__ :		Any					={
    'A': [['B', 2], ['C', 5]],
    'B': [['A', 2], ['D', 3], ['E', 1], ['F', 1]],
    'C': [['A', 5], ['F', 3]],
    'D': [['B', 3]],
    'E': [['B', 4], ['F', 3]],
    'F': [['C', 3], ['E', 3]],
}
A__ :		List[str]					={
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['F', 3]],
    'F': [],
}
A__ :		List[Any]					={
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}

A__ :		List[str]					=dijkstra(G, 'E', 'C')
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

A__ :		Optional[Any]					=dijkstra(Ga, 'E', 'F')
print(short_distance)  # E -- 3 --> F == 3

A__ :		Any					=dijkstra(Ga, 'E', 'F')
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
     import doctest

     doctest.testmod()



