



"""simple docstring"""

import numpy as np
class     lowerCAmelCase__						:


	'''simple docstring'''







	def __init__(      self				:       Tuple    )						->	str:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							str							=     (0, 0)
					SCREAMING_SNAKE_CASE						:							Any							=     None
					SCREAMING_SNAKE_CASE						:							Dict							=     0
					SCREAMING_SNAKE_CASE						:							Tuple							=     0
					SCREAMING_SNAKE_CASE						:							Any							=     0





	def __eq__(      self				:       Optional[int]     ,       _SCREAMING_SNAKE_CASE				:       Optional[Any]    )						->	str:





					"""simple docstring"""


					return self.position == cell.position







	def 			_lowerCAmelCase     (      self				:       List[str]    )						->	Any:





					"""simple docstring"""


					print(self.position    )




class     lowerCAmelCase__						:


	'''simple docstring'''







	def __init__(      self				:       str     ,       _SCREAMING_SNAKE_CASE				:       Optional[Any]=(5, 5)    )						->	str:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							int							=     np.zeros(_SCREAMING_SNAKE_CASE    )
					SCREAMING_SNAKE_CASE						:							Optional[Any]							=     world_size[0]
					SCREAMING_SNAKE_CASE						:							Tuple							=     world_size[1]





	def 			_lowerCAmelCase     (      self				:       List[str]    )						->	Optional[int]:





					"""simple docstring"""


					print(self.w    )







	def 			_lowerCAmelCase     (      self				:       Any     ,       _SCREAMING_SNAKE_CASE				:       Any    )						->	Optional[Any]:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							Any							=     [
					    (-1, -1),
					    (-1, 0),
					    (-1, 1),
					    (0, -1),
					    (0, 1),
					    (1, -1),
					    (1, 0),
					    (1, 1),
					]
					SCREAMING_SNAKE_CASE						:							Optional[int]							=     cell.position[0]
					SCREAMING_SNAKE_CASE						:							str							=     cell.position[1]
					SCREAMING_SNAKE_CASE						:							Any							=     []
					for n in neughbour_cord:
									SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     current_x + n[0]
									SCREAMING_SNAKE_CASE						:							List[str]							=     current_y + n[1]
									if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
													SCREAMING_SNAKE_CASE						:							int							=     Cell()
													SCREAMING_SNAKE_CASE						:							int							=     (x, y)
													SCREAMING_SNAKE_CASE						:							List[str]							=     cell
													neighbours.append(_SCREAMING_SNAKE_CASE    )
					return neighbours




def  __snake_case							(	__A      :						Any							,		__A      :						Optional[Any]							,		__A      :						Union[str, Any]     )     ->       int:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Any							=     []
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     []
				_open.append(__A     )

				while _open:
								SCREAMING_SNAKE_CASE						:							List[str]							=     np.argmin([n.f for n in _open]     )
								SCREAMING_SNAKE_CASE						:							Optional[int]							=     _open[min_f]
								_closed.append(_open.pop(__A     )     )
								if current == goal:
												break
								for n in world.get_neigbours(__A     ):
												for c in _closed:
																if c == n:
																				continue
												SCREAMING_SNAKE_CASE						:							Dict							=     current.g + 1
												SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						:							Optional[int]							=     n.position
												SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						:							List[str]							=     goal.position
												SCREAMING_SNAKE_CASE						:							Optional[Any]							=     (ya - ya) ** 2 + (xa - xa) ** 2
												SCREAMING_SNAKE_CASE						:							List[Any]							=     n.h + n.g

												for c in _open:
																if c == n and c.f < n.f:
																				continue
												_open.append(__A     )
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     []
				while current.parent is not None:
								path.append(current.position     )
								SCREAMING_SNAKE_CASE						:							List[str]							=     current.parent
				path.append(current.position     )
				return path[::-1]


if __name__ == "__main__":
							A_						:    str				=      Gridworld()
							# Start position and goal
							A_						:    List[Any]				=      Cell()
							A_						:    Tuple				=      (0, 0)
							A_						:    Optional[Any]				=      Cell()
							A_						:    Optional[int]				=      (4, 4)
							print(f'''path from {start.position} to {goal.position}''')
							A_						:    Union[str, Any]				=      astar(world, start, goal)
							#   Just for visual reasons.
							for i in s:
														A_						:    List[Any]				=      1
							print(world.w)










"""simple docstring"""

import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard
def  __snake_case							(	__A      :						str     )     ->       Dict:






				'''simple docstring'''
				assert "mock" in _fsspec_registry
				assert "bz2" in _fsspec_registry
def  __snake_case							(	)     ->       Union[str, Any]:






				'''simple docstring'''
				assert "mock" not in _fsspec_registry
				assert "bz2" in _fsspec_registry
def  __snake_case							(	)     ->       Tuple:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Tuple							=     'mock-s3-bucket'
				SCREAMING_SNAKE_CASE						:							Tuple							=     F"""s3://{mock_bucket}"""
				SCREAMING_SNAKE_CASE						:							str							=     extract_path_from_uri(__A     )
				assert dataset_path.startswith('s3://'     ) is False

				SCREAMING_SNAKE_CASE						:							Optional[int]							=     './local/path'
				SCREAMING_SNAKE_CASE						:							str							=     extract_path_from_uri(__A     )
				assert dataset_path == new_dataset_path
def  __snake_case							(	__A      :						Tuple     )     ->       Optional[int]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Tuple							=     is_remote_filesystem(__A     )
				assert is_remote is True

				SCREAMING_SNAKE_CASE						:							Dict							=     fsspec.filesystem('file'     )

				SCREAMING_SNAKE_CASE						:							Dict							=     is_remote_filesystem(__A     )
				assert is_remote is False
@pytest.mark.parametrize('compression_fs_class'							,		__A     )
def  __snake_case							(	__A      :						Any							,		__A      :						Optional[int]							,		__A      :						List[Any]							,		__A      :						Optional[Any]							,		__A      :						str							,		__A      :						Tuple							,		__A      :						Dict     )     ->       Tuple:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     {'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
				SCREAMING_SNAKE_CASE						:							List[Any]							=     input_paths[compression_fs_class.protocol]
				if input_path is None:
								SCREAMING_SNAKE_CASE						:							str							=     F"""for '{compression_fs_class.protocol}' compression protocol, """
								if compression_fs_class.protocol == "lz4":
												reason += require_lza.kwargs["reason"]
								elif compression_fs_class.protocol == "zstd":
												reason += require_zstandard.kwargs["reason"]
								pytest.skip(__A     )
				SCREAMING_SNAKE_CASE						:							Any							=     fsspec.filesystem(compression_fs_class.protocol							,		fo=__A     )
				assert isinstance(__A							,		__A     )
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     os.path.basename(__A     )
				SCREAMING_SNAKE_CASE						:							Dict							=     expected_filename[: expected_filename.rindex('.'     )]
				assert fs.glob('*'     ) == [expected_filename]
				with fs.open(__A							,		'r'							,		encoding='utf-8'     ) as f, open(__A							,		encoding='utf-8'     ) as expected_file:
								assert f.read() == expected_file.read()
@pytest.mark.parametrize('protocol'							,		['zip', 'gzip']     )
def  __snake_case							(	__A      :						Any							,		__A      :						int							,		__A      :						Union[str, Any]     )     ->       Union[str, Any]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							List[Any]							=     {'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
				SCREAMING_SNAKE_CASE						:							Optional[int]							=     compressed_file_paths[protocol]
				SCREAMING_SNAKE_CASE						:							str							=     'dataset.jsonl'
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     F"""{protocol}://{member_file_path}::{compressed_file_path}"""
				SCREAMING_SNAKE_CASE				,						*SCREAMING_SNAKE_CASE						:							Any							=     fsspec.get_fs_token_paths(__A     )
				assert fs.isfile(__A     )
				assert not fs.isfile('non_existing_' + member_file_path     )
@pytest.mark.integration
def  __snake_case							(	__A      :						List[str]							,		__A      :						int							,		__A      :						int							,		__A      :						Optional[int]     )     ->       Union[str, Any]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							List[str]							=     hf_api.dataset_info(__A							,		token=__A     )
				SCREAMING_SNAKE_CASE						:							str							=     HfFileSystem(repo_info=__A							,		token=__A     )
				assert sorted(hffs.glob('*'     )     ) == [".gitattributes", "data"]
				assert hffs.isdir('data'     )
				assert hffs.isfile('.gitattributes'     ) and hffs.isfile('data/text_data.txt'     )
				with open(__A     ) as f:
								assert hffs.open('data/text_data.txt'							,		'r'     ).read() == f.read()







def  __snake_case							(	)     ->       Union[str, Any]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Optional[int]							=     'bz2'

				# Import module
				import datasets.filesystems

				# Overwrite protocol and reload
				register_implementation(__A							,		__A							,		clobber=__A     )
				with pytest.warns(__A     ) as warning_info:
								importlib.reload(datasets.filesystems     )

				assert len(__A     ) == 1
				assert (
				    str(warning_info[0].message     )
				    == F"""A filesystem protocol was already set for {protocol} and will be overwritten."""
				)





