
"""simple docstring"""

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


UpperCamelCase			:       Optional[int]									=				"Run commands across TPU VMs for initial setup before running `accelerate launch`."






def 							A		(       snake_case   :List[Any]=None	)   ->			List[str]:
 if subparsers is not None:
  __UpperCamelCase       						= subparsers.add_parser('tpu-config'       ,      description=_description	)
 else:
  __UpperCamelCase       						= argparse.ArgumentParser('Accelerate tpu-config command'       ,      description=_description	)
 # Core arguments
 __UpperCamelCase       						= parser.add_argument_group(
     'Config Arguments'       ,      'Arguments that can be configured through `accelerate config`.'	)
 config_args.add_argument(
     '--config_file'       ,      type=snake_case       ,      default=snake_case       ,      help='Path to the config file to use for accelerate.'       ,      )
 config_args.add_argument(
     '--tpu_name'       ,      default=snake_case       ,      help='The name of the TPU to use. If not specified, will use the TPU specified in the config file.'       ,      )
 config_args.add_argument(
     '--tpu_zone'       ,      default=snake_case       ,      help='The zone of the TPU to use. If not specified, will use the zone specified in the config file.'       ,      )
 __UpperCamelCase       						= parser.add_argument_group('TPU Arguments'       ,      'Arguments for options ran inside the TPU.'	)
 pod_args.add_argument(
     '--use_alpha'       ,      action='store_true'       ,      help='Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.'       ,      )
 pod_args.add_argument(
     '--command_file'       ,      default=snake_case       ,      help='The path to the file containing the commands to run on the pod on startup.'       ,      )
 pod_args.add_argument(
     '--command'       ,      action='append'       ,      nargs='+'       ,      help='A command to run on the pod. Can be passed multiple times.'       ,      )
 pod_args.add_argument(
     '--install_accelerate'       ,      action='store_true'       ,      help='Whether to install accelerate on the pod. Defaults to False.'       ,      )
 pod_args.add_argument(
     '--accelerate_version'       ,      default='latest'       ,      help='The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify \'dev\' to install from GitHub.'       ,      )
 pod_args.add_argument(
     '--debug'       ,      action='store_true'       ,      help='If set, will print the command that would be run instead of running it.'	)

 if subparsers is not None:
  parser.set_defaults(func=snake_case	)
 return parser






def 							A		(       snake_case   :List[str]	)   ->			str:
 __UpperCamelCase       						= None

 # Get the default from the config file if it exists.
 if args.config_file is not None or os.path.isfile(snake_case	):
  __UpperCamelCase       						= load_config_from_file(args.config_file	)
  if not args.command_file and defaults.command_file is not None and not args.command:
   __UpperCamelCase       						= defaults.command_file
  if not args.command and defaults.commands is not None:
   __UpperCamelCase       						= defaults.commands
  if not args.tpu_name:
   __UpperCamelCase       						= defaults.tpu_name
  if not args.tpu_zone:
   __UpperCamelCase       						= defaults.tpu_zone
 if args.accelerate_version == "dev":
  __UpperCamelCase       						= 'git+https://github.com/huggingface/accelerate.git'
 elif args.accelerate_version == "latest":
  __UpperCamelCase       						= 'accelerate -U'
 elif isinstance(parse(args.accelerate_version	)       ,      snake_case	):
  __UpperCamelCase       						= f'accelerate=={args.accelerate_version}'

 if not args.command_file and not args.command:
  raise ValueError('You must specify either a command file or a command to run on the pod.'	)

 if args.command_file:
  with open(args.command_file       ,      'r'	) as f:
   __UpperCamelCase       						= [f.read().splitlines()]

    # To turn list of lists into list of strings
 if isinstance(args.command[0]       ,      snake_case	):
  __UpperCamelCase       						= [line for cmd in args.command for line in cmd]
 # Default to the shared folder and install accelerate
 __UpperCamelCase       						= ['cd /usr/share']
 if args.install_accelerate:
  new_cmd += [f'pip install {args.accelerate_version}']
 new_cmd += args.command
 __UpperCamelCase       						= '; '.join(snake_case	)

 # Then send it to gcloud
 # Eventually try to use google-api-core to do this instead of subprocess
 __UpperCamelCase       						= ['gcloud']
 if args.use_alpha:
  cmd += ["alpha"]
 cmd += [
     "compute",
     "tpus",
     "tpu-vm",
     "ssh",
     args.tpu_name,
     "--zone",
     args.tpu_zone,
     "--command",
     args.command,
     "--worker",
     "all",
 ]
 if args.debug:
  print(f'Running {" ".join(snake_case	)}'	)
  return
 subprocess.run(snake_case	)
 print('Successfully setup pod.'	)






def 							A		(       )   ->			Dict:
 __UpperCamelCase       						= tpu_command_parser()
 __UpperCamelCase       						= parser.parse_args()

 tpu_command_launcher(snake_case	)







"""simple docstring"""

import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


UpperCamelCase			:       Union[str, Any]									=				"__DUMMY_TRANSFORMERS_USER__"
UpperCamelCase			:       List[Any]									=				"Dummy User"
UpperCamelCase			:       List[Any]									=				"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"

UpperCamelCase			:       Any									=				"https://hub-ci.huggingface.co"
UpperCamelCase			:       str									=				CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
UpperCamelCase			:       Optional[Any]									=				CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
UpperCamelCase			:       Optional[int]									=				Path("~/.huggingface/hub_ci_token").expanduser()






@pytest.fixture
def 							A		(       snake_case   :Optional[Any]	)   ->			Union[str, Any]:
 monkeypatch.setattr(
     'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :str	)   ->			List[Any]:
 monkeypatch.setattr('datasets.config.HF_ENDPOINT'       ,      snake_case	)
 monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :Optional[int]	)   ->			Dict:
 monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :List[Any]       ,      snake_case   :Tuple	)   ->			Tuple:
 HfFolder.save_token(snake_case	)
 yield
 HfFolder.delete_token()






@pytest.fixture(scope='session'	)
def 							A		(       )   ->			List[Any]:
 return HfApi(endpoint=snake_case	)






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi	)   ->			List[Any]:
 __UpperCamelCase       						= HfFolder.get_token()
 HfFolder.save_token(snake_case	)
 yield CI_HUB_USER_TOKEN
 if previous_token is not None:
  HfFolder.save_token(snake_case	)






@pytest.fixture
def 							A		(       snake_case   :str	)   ->			str:
 def _cleanup_repo(snake_case   :Union[str, Any]	):
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)

 return _cleanup_repo






@pytest.fixture
def 							A		(       snake_case   :List[str]	)   ->			Any:
 @contextmanager
 def _temporary_repo(snake_case   :Tuple	):
  try:
   yield repo_id
  finally:
   cleanup_repo(snake_case	)

 return _temporary_repo






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :Dict       ,      snake_case   :Dict	)   ->			List[str]:
 __UpperCamelCase       						= f'repo_txt_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data/text_data.txt'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :Optional[int]       ,      snake_case   :str       ,      snake_case   :Tuple	)   ->			Any:
 return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :List[Any]       ,      snake_case   :str	)   ->			Optional[int]:
 __UpperCamelCase       						= f'repo_zipped_txt_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data.zip'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :int       ,      snake_case   :Optional[int]       ,      snake_case   :Optional[int]	)   ->			str:
 return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :List[str]       ,      snake_case   :Any	)   ->			List[Any]:
 __UpperCamelCase       						= f'repo_zipped_img_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data.zip'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :List[str]       ,      snake_case   :Optional[Any]       ,      snake_case   :Optional[int]	)   ->			Optional[int]:
 return hf_private_dataset_repo_zipped_img_data_



