import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


SCREAMING_SNAKE_CASE		:     List[Any]         =	"http://www.mocksite.com/file1.txt"
SCREAMING_SNAKE_CASE		:     str         =	"\"text\": [\"foo\", \"foo\"]"
SCREAMING_SNAKE_CASE		:     Optional[Any]         =	"6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8"

class        UpperCamelCase						:
						a__		:Optional[Any]      =			200
						a__		:int      =			{'''Content-Length''': '''100'''}
						a__		:Dict      =			{}





						def        A_							(self			,     **__UpperCamelCase						)				->				List[Any]:
												return [bytes(__UpperCamelCase			,     """utf-8"""						)]






def     lowerCAmelCase_			(   *_SCREAMING_SNAKE_CASE     :				Optional[int]		, **_SCREAMING_SNAKE_CASE     :				Tuple			):
						return MockResponse()






@pytest.mark.parametrize("""urls_type"""		, [str, list, dict]			)
def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				Tuple		, _SCREAMING_SNAKE_CASE     :				int		, _SCREAMING_SNAKE_CASE     :				Tuple			):
						import requests

						monkeypatch.setattr(_SCREAMING_SNAKE_CASE		, """request"""		, _SCREAMING_SNAKE_CASE			)

						UpperCamelCase_		:							Optional[Any]  =		URL
						if issubclass(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
												UpperCamelCase_		:							Any  =		url
						elif issubclass(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
												UpperCamelCase_		:							List[str]  =		[url]
						elif issubclass(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
												UpperCamelCase_		:							Any  =		{"""train""": url}
						UpperCamelCase_		:							Dict  =		"""dummy"""
						UpperCamelCase_		:							int  =		"""downloads"""
						UpperCamelCase_		:							str  =		tmp_path
						UpperCamelCase_		:							str  =		DownloadConfig(
						    cache_dir=os.path.join(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			)		, use_etag=_SCREAMING_SNAKE_CASE		, )
						UpperCamelCase_		:							Dict  =		DownloadManager(dataset_name=_SCREAMING_SNAKE_CASE		, download_config=_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							int  =		dl_manager.download(_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							Optional[int]  =		urls
						for downloaded_paths in [downloaded_paths]:
												if isinstance(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
																		UpperCamelCase_		:							Optional[int]  =		[downloaded_paths]
																		UpperCamelCase_		:							Optional[Any]  =		[urls]
												elif isinstance(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
																		assert "train" in downloaded_paths.keys()
																		UpperCamelCase_		:							Optional[int]  =		downloaded_paths.values()
																		UpperCamelCase_		:							List[Any]  =		urls.values()
												assert downloaded_paths
												for downloaded_path, input_url in zip(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
																		assert downloaded_path == dl_manager.downloaded_paths[input_url]
																		UpperCamelCase_		:							Optional[int]  =		Path(_SCREAMING_SNAKE_CASE			)
																		UpperCamelCase_		:							str  =		downloaded_path.parts
																		assert parts[-1] == HASH
																		assert parts[-2] == cache_subdir
																		assert downloaded_path.exists()
																		UpperCamelCase_		:							Optional[int]  =		downloaded_path.read_text()
																		assert content == CONTENT
																		UpperCamelCase_		:							Dict  =		downloaded_path.with_suffix(""".json"""			)
																		assert metadata_downloaded_path.exists()
																		UpperCamelCase_		:							Union[str, Any]  =		json.loads(metadata_downloaded_path.read_text()			)
																		assert metadata_content == {"url": URL, "etag": None}






@pytest.mark.parametrize("""paths_type"""		, [str, list, dict]			)
def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				str		, _SCREAMING_SNAKE_CASE     :				Optional[int]		, _SCREAMING_SNAKE_CASE     :				List[Any]			):
						UpperCamelCase_		:							Any  =		str(_SCREAMING_SNAKE_CASE			)
						if issubclass(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
												UpperCamelCase_		:							int  =		filename
						elif issubclass(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
												UpperCamelCase_		:							int  =		[filename]
						elif issubclass(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
												UpperCamelCase_		:							List[Any]  =		{"""train""": filename}
						UpperCamelCase_		:							List[Any]  =		"""dummy"""
						UpperCamelCase_		:							str  =		xz_file.parent
						UpperCamelCase_		:							List[Any]  =		"""extracted"""
						UpperCamelCase_		:							Optional[Any]  =		DownloadConfig(
						    cache_dir=_SCREAMING_SNAKE_CASE		, use_etag=_SCREAMING_SNAKE_CASE		, )
						UpperCamelCase_		:							Optional[int]  =		DownloadManager(dataset_name=_SCREAMING_SNAKE_CASE		, download_config=_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							List[str]  =		dl_manager.extract(_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							Tuple  =		paths
						for extracted_paths in [extracted_paths]:
												if isinstance(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
																		UpperCamelCase_		:							Optional[int]  =		[extracted_paths]
																		UpperCamelCase_		:							Union[str, Any]  =		[paths]
												elif isinstance(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
																		assert "train" in extracted_paths.keys()
																		UpperCamelCase_		:							List[Any]  =		extracted_paths.values()
																		UpperCamelCase_		:							Optional[Any]  =		paths.values()
												assert extracted_paths
												for extracted_path, input_path in zip(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			):
																		assert extracted_path == dl_manager.extracted_paths[input_path]
																		UpperCamelCase_		:							Union[str, Any]  =		Path(_SCREAMING_SNAKE_CASE			)
																		UpperCamelCase_		:							Any  =		extracted_path.parts
																		assert parts[-1] == hash_url_to_filename(_SCREAMING_SNAKE_CASE		, etag=_SCREAMING_SNAKE_CASE			)
																		assert parts[-2] == extracted_subdir
																		assert extracted_path.exists()
																		UpperCamelCase_		:							Any  =		extracted_path.read_text()
																		UpperCamelCase_		:							Optional[Any]  =		text_file.read_text()
																		assert extracted_file_content == expected_file_content






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				List[Any]		, _SCREAMING_SNAKE_CASE     :				Union[str, Any]			):
						assert path.endswith(""".jsonl"""			)
						for num_items, line in enumerate(_SCREAMING_SNAKE_CASE		, start=1			):
												UpperCamelCase_		:							Any  =		json.loads(line.decode("""utf-8"""			)			)
												assert item.keys() == {"col_1", "col_2", "col_3"}
						assert num_items == 4






@pytest.mark.parametrize("""archive_jsonl"""		, ["""tar_jsonl_path""", """zip_jsonl_path"""]			)
def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				Dict		, _SCREAMING_SNAKE_CASE     :				Optional[int]			):
						UpperCamelCase_		:							Tuple  =		request.getfixturevalue(_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							str  =		DownloadManager()
						for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(_SCREAMING_SNAKE_CASE			)		, start=1			):
												_test_jsonl(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			)
						assert num_jsonl == 2






@pytest.mark.parametrize("""archive_nested_jsonl"""		, ["""tar_nested_jsonl_path""", """zip_nested_jsonl_path"""]			)
def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				List[Any]		, _SCREAMING_SNAKE_CASE     :				Dict			):
						UpperCamelCase_		:							List[str]  =		request.getfixturevalue(_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							Optional[int]  =		DownloadManager()
						for num_tar, (path, file) in enumerate(dl_manager.iter_archive(_SCREAMING_SNAKE_CASE			)		, start=1			):
												for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(_SCREAMING_SNAKE_CASE			)		, start=1			):
																		_test_jsonl(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			)
						assert num_tar == 1
						assert num_jsonl == 2







def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				int			):
						UpperCamelCase_		:							str  =		DownloadManager()
						for num_file, file in enumerate(dl_manager.iter_files(_SCREAMING_SNAKE_CASE			)		, start=1			):
												assert os.path.basename(_SCREAMING_SNAKE_CASE			) == ("test.txt" if num_file == 1 else "train.txt")
						assert num_file == 2







from heapq import heappop, heappush

import numpy as np






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				np.ndarray		, _SCREAMING_SNAKE_CASE     :				tuple[int, int]		, _SCREAMING_SNAKE_CASE     :				tuple[int, int]		, _SCREAMING_SNAKE_CASE     :				bool		, ):
						UpperCamelCase_,UpperCamelCase_		:							Union[str, Any]  =		grid.shape
						UpperCamelCase_		:							List[str]  =		[-1, 1, 0, 0]
						UpperCamelCase_		:							Dict  =		[0, 0, -1, 1]
						if allow_diagonal:
												dx += [-1, -1, 1, 1]
												dy += [-1, 1, -1, 1]

						UpperCamelCase_,UpperCamelCase_		:							List[Any]  =		[(0, source)], set()
						UpperCamelCase_		:							Any  =		np.full((rows, cols)		, np.inf			)
						UpperCamelCase_		:							List[str]  =		0
						UpperCamelCase_		:							Union[str, Any]  =		np.empty((rows, cols)		, dtype=_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							Optional[int]  =		None

						while queue:
												((UpperCamelCase_),(UpperCamelCase_))		:							Any  =		heappop(_SCREAMING_SNAKE_CASE			)
												if (x, y) in visited:
																		continue
												visited.add((x, y)			)

												if (x, y) == destination:
																		UpperCamelCase_		:							Tuple  =		[]
																		while (x, y) != source:
																								path.append((x, y)			)
																								UpperCamelCase_,UpperCamelCase_		:							Union[str, Any]  =		predecessors[x, y]
																		path.append(_SCREAMING_SNAKE_CASE			)  # add the source manually
																		path.reverse()
																		return matrix[destination], path

												for i in range(len(_SCREAMING_SNAKE_CASE			)			):
																		UpperCamelCase_,UpperCamelCase_		:							Optional[Any]  =		x + dx[i], y + dy[i]
																		if 0 <= nx < rows and 0 <= ny < cols:
																								UpperCamelCase_		:							Union[str, Any]  =		grid[nx][ny]
																								if next_node == 1 and matrix[nx, ny] > dist + 1:
																														heappush(_SCREAMING_SNAKE_CASE		, (dist + 1, (nx, ny))			)
																														UpperCamelCase_		:							Optional[Any]  =		dist + 1
																														UpperCamelCase_		:							List[Any]  =		(x, y)

						return np.inf, []


if __name__ == "__main__":
	import doctest

	doctest.testmod()






