


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


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







class 			_lowercase :


       """simple docstring"""




       A__											=			2_00
       A__											=			{'''Content-Length''': '''100'''}
       A__											=			{}





       def 						lowerCAmelCase     (   self							:			Dict					,      **__lowerCamelCase							:			List[Any]       ):


             '''simple docstring'''



             return [bytes(SCREAMING_SNAKE_CASE__					,      "utf-8"       )]



def       lowercase_		(		*_A			:    Dict    ,					**_A			:    Optional[Any]						):

      """simple docstring"""




      return MockResponse()

@pytest.mark.parametrize("urls_type"    ,					[str, list, dict]						)
def       lowercase_		(		_A			:    Union[str, Any]    ,					_A			:    int    ,					_A			:    str						):

      """simple docstring"""




      import requests

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

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

@pytest.mark.parametrize("paths_type"    ,					[str, list, dict]						)
def       lowercase_		(		_A			:    Optional[int]    ,					_A			:    int    ,					_A			:    Dict						):

      """simple docstring"""




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

def       lowercase_		(		_A			:    Union[str, Any]    ,					_A			:    int						):

      """simple docstring"""




      assert path.endswith(".jsonl"						)
      for num_items, line in enumerate(_snake_case    ,					start=1						):
            lowerCamelCase__		:				List[str]    =  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       lowercase_		(		_A			:    List[str]    ,					_A			:    Any						):

      """simple docstring"""




      lowerCamelCase__		:				str    =  request.getfixturevalue(_snake_case						)
      lowerCamelCase__		:				Union[str, Any]    =  DownloadManager()
      for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(_snake_case						)    ,					start=1						):
            _test_jsonl(_snake_case    ,					_snake_case						)
      assert num_jsonl == 2

@pytest.mark.parametrize("archive_nested_jsonl"    ,					["tar_nested_jsonl_path", "zip_nested_jsonl_path"]						)
def       lowercase_		(		_A			:    Tuple    ,					_A			:    str						):

      """simple docstring"""




      lowerCamelCase__		:				Dict    =  request.getfixturevalue(_snake_case						)
      lowerCamelCase__		:				Optional[Any]    =  DownloadManager()
      for num_tar, (path, file) in enumerate(dl_manager.iter_archive(_snake_case						)    ,					start=1						):
            for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(_snake_case						)    ,					start=1						):
                  _test_jsonl(_snake_case    ,					_snake_case						)
      assert num_tar == 1
      assert num_jsonl == 2


def       lowercase_		(		_A			:    Optional[int]						):

      """simple docstring"""




      lowerCamelCase__		:				List[str]    =  DownloadManager()
      for num_file, file in enumerate(dl_manager.iter_files(_snake_case						)    ,					start=1						):
            assert os.path.basename(_snake_case						) == ("test.txt" if num_file == 1 else "train.txt")
      assert num_file == 2




"""simple docstring"""




import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp

def lowercase_  (   ):
							SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   ArgumentParser(
							    description=(
							        """PyTorch TPU distributed training launch """
							        """helper utility that will spawn up """
							        """multiple distributed processes"""
							    )						)

							# Optional arguments for the launch helper
							parser.add_argument("""--num_cores"""   ,type=_snake_case   ,default=1   ,help="""Number of TPU cores to use (1 or 8)."""						)

							# positional
							parser.add_argument(
							    """training_script"""   ,type=_snake_case   ,help=(
							        """The full path to the single TPU training """
							        """program/script to be launched in parallel, """
							        """followed by all the arguments for the """
							        """training script"""
							    )   ,)

							# rest from the training program
							parser.add_argument("""training_script_args"""   ,nargs=_snake_case						)

							return parser.parse_args()

def lowercase_  (   ):
							SCREAMING_SNAKE_CASE__						:       int           =   parse_args()

							# Import training_script as a module.
							SCREAMING_SNAKE_CASE__						:       Dict           =   Path(args.training_script						)
							sys.path.append(str(script_fpath.parent.resolve()						)						)
							SCREAMING_SNAKE_CASE__						:       int           =   script_fpath.stem
							SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   importlib.import_module(_snake_case						)

							# Patch sys.argv
							SCREAMING_SNAKE_CASE__						:       str           =   [args.training_script] + args.training_script_args + ["""--tpu_num_cores""", str(args.num_cores						)]
							xmp.spawn(mod._mp_fn   ,args=()   ,nprocs=args.num_cores						)


if __name__ == "__main__":
					main()




