


# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


_SCREAMING_SNAKE_CASE      :			int      				=   get_logger(__name__)

class   A__ :







    """simple docstring"""

    __magic_name__        =		'dummy_data'
    __magic_name__        =		'datasets'
    __magic_name__        =		False
    def __init__(	self      , __snake_case      , __snake_case      , __snake_case      , __snake_case = None      , __snake_case = False      , __snake_case = True      , __snake_case = None      , ):
         snake_case					=    0
         snake_case					=    dataset_name
         snake_case					=    cache_dir
         snake_case					=    use_local_dummy_data
         snake_case					=    config
         # download_callbacks take a single url as input
         snake_case					=    download_callbacks or []
         # if False, it doesn't load existing files and it returns the paths of the dummy files relative
         # to the dummy_data zip file root
         snake_case					=    load_existing_dummy_data

         # TODO(PVP, QL) might need to make this more general
         snake_case					=    str(__snake_case   )
         # to be downloaded
         snake_case					=    None
         snake_case					=    None
    @property
    def 		a_      (	self   ):
         if self._dummy_file is None:
              snake_case					=    self.download_dummy_data()
         return self._dummy_file
    @property
    def 		a_      (	self   ):
         if self.config is not None:
              # structure is dummy / config_name / version_name
              return os.path.join('''dummy'''      , self.config.name      , self.version_name   )
         # structure is dummy / version_name
         return os.path.join('''dummy'''      , self.version_name   )
    @property
    def 		a_      (	self   ):
         return os.path.join(self.dummy_data_folder      , '''dummy_data.zip'''   )
    def 		a_      (	self   ):
         snake_case					=    (
             self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
         )

         snake_case					=    cached_path(
             __snake_case      , cache_dir=self.cache_dir      , extract_compressed_file=__snake_case      , force_extract=__snake_case   )

         return os.path.join(__snake_case      , self.dummy_file_name   )
    @property
    def 		a_      (	self   ):
         return os.path.join(self.datasets_scripts_dir      , self.dataset_name      , self.dummy_zip_file   )
    @property
    def 		a_      (	self   ):
         if self._bucket_url is None:
              snake_case					=    hf_github_url(self.dataset_name      , self.dummy_zip_file.replace(os.sep      , '''/'''   )   )
         return self._bucket_url
    @property
    def 		a_      (	self   ):
         # return full path if its a dir
         if os.path.isdir(self.dummy_file   ):
              return self.dummy_file
         # else cut off path to file -> example `xsum`.
         return "/".join(self.dummy_file.replace(os.sep      , '''/'''   ).split('''/'''   )[:-1]   )
    def 		a_      (	self      , __snake_case      , *__snake_case   ):
         if self.load_existing_dummy_data:
              # dummy data is downloaded and tested
              snake_case					=    self.dummy_file
         else:
              # dummy data cannot be downloaded and only the path to dummy file is returned
              snake_case					=    self.dummy_file_name

         # special case when data_url is a dict
         if isinstance(__snake_case      , __snake_case   ):
              return self.create_dummy_data_dict(__snake_case      , __snake_case   )
         elif isinstance(__snake_case      , (list, tuple)   ):
              return self.create_dummy_data_list(__snake_case      , __snake_case   )
         else:
              return self.create_dummy_data_single(__snake_case      , __snake_case   )
    def 		a_      (	self      , __snake_case      , *__snake_case   ):
         return self.download_and_extract(__snake_case   )
    def 		a_      (	self      , __snake_case      , __snake_case   ):
         return self.download_and_extract(__snake_case   )
    def 		a_      (	self      , __snake_case      , *__snake_case      , **__snake_case   ):
         return path
    def 		a_      (	self   ):
         return {}
    def 		a_      (	self      , __snake_case      , __snake_case   ):
         snake_case					=    {}
         for key, single_urls in data_url.items():
              for download_callback in self.download_callbacks:
                   if isinstance(__snake_case      , __snake_case   ):
                        for single_url in single_urls:
                             download_callback(__snake_case   )
                   else:
                        snake_case					=    single_urls
                        download_callback(__snake_case   )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              if isinstance(__snake_case      , __snake_case   ):
                   snake_case					=    [os.path.join(__snake_case      , urllib.parse.quote_plus(Path(__snake_case   ).name   )   ) for x in single_urls]
              else:
                   snake_case					=    single_urls
                   snake_case					=    os.path.join(__snake_case      , urllib.parse.quote_plus(Path(__snake_case   ).name   )   )
              snake_case					=    value

         # make sure that values are unique
         if all(isinstance(__snake_case      , __snake_case   ) for i in dummy_data_dict.values()   ) and len(set(dummy_data_dict.values()   )   ) < len(
             dummy_data_dict.values()   ):
              # append key to value to make its name unique
              snake_case					=    {key: value + key for key, value in dummy_data_dict.items()}

         return dummy_data_dict
    def 		a_      (	self      , __snake_case      , __snake_case   ):
         snake_case					=    []
         # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
         snake_case					=    all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''      , __snake_case   )   ) for url in data_url   )
         snake_case					=    all(
             url.startswith('''https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'''   ) for url in data_url   )
         if data_url and (is_tf_records or is_pubmed_records):
              snake_case					=    [data_url[0]] * len(__snake_case   )
         for single_url in data_url:
              for download_callback in self.download_callbacks:
                   download_callback(__snake_case   )
              # we force the name of each key to be the last file / folder name of the url path
              # if the url has arguments, we need to encode them with urllib.parse.quote_plus
              snake_case					=    os.path.join(__snake_case      , urllib.parse.quote_plus(single_url.split('''/'''   )[-1]   )   )
              dummy_data_list.append(__snake_case   )
         return dummy_data_list
    def 		a_      (	self      , __snake_case      , __snake_case   ):
         for download_callback in self.download_callbacks:
              download_callback(__snake_case   )
         # we force the name of each key to be the last file / folder name of the url path
         # if the url has arguments, we need to encode them with urllib.parse.quote_plus
         snake_case					=    os.path.join(__snake_case      , urllib.parse.quote_plus(data_url.split('''/'''   )[-1]   )   )
         if os.path.exists(__snake_case   ) or not self.load_existing_dummy_data:
              return value
         else:
              # Backward compatibility, maybe deprecate at one point.
              # For many datasets with single url calls to dl_manager.download_and_extract,
              # the dummy_data.zip file is actually the zipped downloaded file
              # while now we expected the dummy_data.zip file to be a directory containing
              # the downloaded file.
              return path_to_dummy_data
    def 		a_      (	self   ):
         pass
    def 		a_      (	self   ):
         pass
    def 		a_      (	self      , __snake_case   ):
         def _iter_archive_members(__snake_case   ):
              # this preserves the order of the members inside the ZIP archive
              snake_case					=    Path(self.dummy_file   ).parent
              snake_case					=    path.relative_to(__snake_case   )
              with ZipFile(self.local_path_to_dummy_data   ) as zip_file:
                   snake_case					=    zip_file.namelist()
              for member in members:
                   if member.startswith(relative_path.as_posix()   ):
                        yield dummy_parent_path.joinpath(__snake_case   )

         snake_case					=    Path(__snake_case   )
         snake_case					=    _iter_archive_members(__snake_case   ) if self.use_local_dummy_data else path.rglob('''*'''   )
         for file_path in file_paths:
              if file_path.is_file() and not file_path.name.startswith(('''.''', '''__''')   ):
                   yield file_path.relative_to(__snake_case   ).as_posix(), file_path.open('''rb'''   )




    def 		a_      (	self      , __snake_case   ):
         if not isinstance(__snake_case      , __snake_case   ):
              snake_case					=    [paths]
         for path in paths:
              if os.path.isfile(__snake_case   ):
                   if os.path.basename(__snake_case   ).startswith(('''.''', '''__''')   ):
                        return
                   yield path
              else:
                   for dirpath, dirnames, filenames in os.walk(__snake_case   ):
                        if os.path.basename(__snake_case   ).startswith(('''.''', '''__''')   ):
                             continue
                        dirnames.sort()
                        for filename in sorted(__snake_case   ):
                             if filename.startswith(('''.''', '''__''')   ):
                                  continue
                             yield os.path.join(__snake_case      , __snake_case   )








from __future__ import annotations

import time

_SCREAMING_SNAKE_CASE      :			List[Any]      				=   list[tuple[int, int]]

_SCREAMING_SNAKE_CASE      :			Any      				=   [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

_SCREAMING_SNAKE_CASE      :			Any      				=   [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

class   A__ :







    """simple docstring"""

    def __init__(	self      , __snake_case      , __snake_case      , __snake_case      , __snake_case      , __snake_case   ):
         snake_case					=    pos_x
         snake_case					=    pos_y
         snake_case					=    (pos_y, pos_x)
         snake_case					=    goal_x
         snake_case					=    goal_y
         snake_case					=    parent






class   A__ :







    """simple docstring"""

    def __init__(	self      , __snake_case      , __snake_case   ):
         snake_case					=    Node(start[1]      , start[0]      , goal[1]      , goal[0]      , __snake_case   )
         snake_case					=    Node(goal[1]      , goal[0]      , goal[1]      , goal[0]      , __snake_case   )

         snake_case					=    [self.start]
         snake_case					=    False
    def 		a_      (	self   ):
         while self.node_queue:
              snake_case					=    self.node_queue.pop(0   )

              if current_node.pos == self.target.pos:
                   snake_case					=    True
                   return self.retrace_path(__snake_case   )

              snake_case					=    self.get_successors(__snake_case   )

              for node in successors:
                   self.node_queue.append(__snake_case   )

         if not self.reached:
              return [self.start.pos]
         return None
    def 		a_      (	self      , __snake_case   ):
         snake_case					=    []
         for action in delta:
              snake_case					=    parent.pos_x + action[1]
              snake_case					=    parent.pos_y + action[0]
              if not (0 <= pos_x <= len(grid[0]   ) - 1 and 0 <= pos_y <= len(__snake_case   ) - 1):
                   continue

              if grid[pos_y][pos_x] != 0:
                   continue

              successors.append(
                  Node(__snake_case      , __snake_case      , self.target.pos_y      , self.target.pos_x      , __snake_case   )   )
         return successors




    def 		a_      (	self      , __snake_case   ):
         snake_case					=    node
         snake_case					=    []
         while current_node is not None:
              path.append((current_node.pos_y, current_node.pos_x)   )
              snake_case					=    current_node.parent
         path.reverse()
         return path






class   A__ :







    """simple docstring"""

    def __init__(	self      , __snake_case      , __snake_case   ):
         snake_case					=    BreadthFirstSearch(__snake_case      , __snake_case   )
         snake_case					=    BreadthFirstSearch(__snake_case      , __snake_case   )
         snake_case					=    False
    def 		a_      (	self   ):
         while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
              snake_case					=    self.fwd_bfs.node_queue.pop(0   )
              snake_case					=    self.bwd_bfs.node_queue.pop(0   )

              if current_bwd_node.pos == current_fwd_node.pos:
                   snake_case					=    True
                   return self.retrace_bidirectional_path(
                       __snake_case      , __snake_case   )

              snake_case					=    current_bwd_node
              snake_case					=    current_fwd_node

              snake_case					=    {
                  self.fwd_bfs: self.fwd_bfs.get_successors(__snake_case   ),
                  self.bwd_bfs: self.bwd_bfs.get_successors(__snake_case   ),
              }

              for bfs in [self.fwd_bfs, self.bwd_bfs]:
                   for node in successors[bfs]:
                        bfs.node_queue.append(__snake_case   )

         if not self.reached:
              return [self.fwd_bfs.start.pos]
         return None




    def 		a_      (	self      , __snake_case      , __snake_case   ):
         snake_case					=    self.fwd_bfs.retrace_path(__snake_case   )
         snake_case					=    self.bwd_bfs.retrace_path(__snake_case   )
         bwd_path.pop()
         bwd_path.reverse()
         snake_case					=    fwd_path + bwd_path
         return path


if __name__ == "__main__":
 # all coordinates are given in format [y,x]
 import doctest

 doctest.testmod()
 _SCREAMING_SNAKE_CASE      :			Optional[Any]      				=   (0, 0)
 _SCREAMING_SNAKE_CASE      :			List[Any]      				=   (len(grid) - 1, len(grid[0]) - 1)
 for elem in grid:
  print(elem)

 _SCREAMING_SNAKE_CASE      :			List[Any]      				=   time.time()
 _SCREAMING_SNAKE_CASE      :			List[Any]      				=   BreadthFirstSearch(init, goal)
 _SCREAMING_SNAKE_CASE      :			List[str]      				=   bfs.search()
 _SCREAMING_SNAKE_CASE      :			int      				=   time.time() - start_bfs_time

 print("Unidirectional BFS computation time : ", bfs_time)

 _SCREAMING_SNAKE_CASE      :			Any      				=   time.time()
 _SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   BidirectionalBreadthFirstSearch(init, goal)
 _SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   bd_bfs.search()
 _SCREAMING_SNAKE_CASE      :			Tuple      				=   time.time() - start_bd_bfs_time

 print("Bidirectional BFS computation time : ", bd_bfs_time)




