





"""simple docstring"""




import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


a		:				Dict  			=    NewType('''DataClass''', Any)
a		:				Tuple  			=    NewType('''DataClassType''', Any)






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					str      )				->Optional[Any]:






	'''simple docstring'''






	if isinstance(_lowercase					, _lowercase      ):
		return v
	if v.lower() in ("yes", "true", "t", "y", "1"):
		return True
	elif v.lower() in ("no", "false", "f", "n", "0"):
		return False
	else:
		raise ArgumentTypeError(
		    F"""Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive)."""      )






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					list      )				->Callable[[str], Any]:






	'''simple docstring'''






	a   :	Dict			=       {str(_lowercase      ): choice for choice in choices}
	return lambda _lowercase      : str_to_choice.get(_lowercase					, _lowercase      )






def    _SCREAMING_SNAKE_CASE	(			*,
    _lowercase		:					Union[str, List[str]] = None					, _lowercase		:					str = None					, _lowercase		:					Any = dataclasses.MISSING					, _lowercase		:					Callable[[], Any] = dataclasses.MISSING					, _lowercase		:					dict = None					, **_lowercase		:					Union[str, Any]					, )				->dataclasses.Field:






	'''simple docstring'''






	if metadata is None:
		# Important, don't use as default param in function signature because dict is mutable and shared across function calls
		a   :	Tuple			=       {}
	if aliases is not None:
		a   :	Union[str, Any]			=       aliases
	if help is not None:
		a   :	Optional[Any]			=       help

	return dataclasses.field(metadata=_lowercase					, default=_lowercase					, default_factory=_lowercase					, **_lowercase      )







class  __UpperCamelCase       (		a__		):
							lowerCamelCase     :      Iterable[DataClassType]






							def __init__(     self   ,      lowerCAmelCase__   ,      **lowerCAmelCase__   )			->				int:
								# To make the default appear when using --help
								if "formatter_class" not in kwargs:
									a   :	Any			=       ArgumentDefaultsHelpFormatter
								super().__init__(**lowerCAmelCase__   )
								if dataclasses.is_dataclass(lowerCAmelCase__   ):
									a   :	Dict			=       [dataclass_types]
								a   :	List[str]			=       list(lowerCAmelCase__   )
								for dtype in self.dataclass_types:
									self._add_dataclass_arguments(lowerCAmelCase__   )






							@staticmethod
							def 					__a     (     lowerCAmelCase__   ,      lowerCAmelCase__   )			->				Optional[int]:
								a   :	int			=       f"""--{field.name}"""
								a   :	List[Any]			=       field.metadata.copy()
								# field.metadata is not used at all by Data Classes,
								# it is provided as a third-party extension mechanism.
								if isinstance(field.type   ,      lowerCAmelCase__   ):
									raise RuntimeError(
									    "Unresolved type detected, which should have been done with the help of "
									    "`typing.get_type_hints` method by default"   )

								a   :	Dict			=       kwargs.pop("aliases"   ,      []   )
								if isinstance(lowerCAmelCase__   ,      lowerCAmelCase__   ):
									a   :	Optional[Any]			=       [aliases]

								a   :	Union[str, Any]			=       getattr(field.type   ,      "__origin__"   ,      field.type   )
								if origin_type is Union or (hasattr(lowerCAmelCase__   ,      "UnionType"   ) and isinstance(lowerCAmelCase__   ,      types.UnionType   )):
									if str not in field.type.__args__ and (
									    len(field.type.__args__   ) != 2 or type(lowerCAmelCase__   ) not in field.type.__args__
									):
										raise ValueError(
										    "Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"
										    " the argument parser only supports one type per argument."
										    f""" Problem encountered in field '{field.name}'."""   )
									if type(lowerCAmelCase__   ) not in field.type.__args__:
										# filter `str` in Union
										a   :	List[Any]			=       field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
										a   :	str			=       getattr(field.type   ,      "__origin__"   ,      field.type   )
									elif bool not in field.type.__args__:
										# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
										a   :	str			=       (
										    field.type.__args__[0] if isinstance(lowerCAmelCase__   ,      field.type.__args__[1]   ) else field.type.__args__[1]
										)
										a   :	Union[str, Any]			=       getattr(field.type   ,      "__origin__"   ,      field.type   )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
								a   :	List[Any]			=       {}
								if origin_type is Literal or (isinstance(field.type   ,      lowerCAmelCase__   ) and issubclass(field.type   ,      lowerCAmelCase__   )):
									if origin_type is Literal:
										a   :	Union[str, Any]			=       field.type.__args__
									else:
										a   :	Optional[int]			=       [x.value for x in field.type]

									a   :	List[Any]			=       make_choice_type_function(kwargs["choices"]   )

									if field.default is not dataclasses.MISSING:
										a   :	Any			=       field.default
									else:
										a   :	Optional[int]			=       True
								elif field.type is bool or field.type == Optional[bool]:
									# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
									# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
									a   :	List[Any]			=       copy(lowerCAmelCase__   )

									# Hack because type=bool in argparse does not behave as we want.
									a   :	Any			=       string_to_bool
									if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
										# Default value is False if we have no default when of type bool.
										a   :	int			=       False if field.default is dataclasses.MISSING else field.default
										# This is the value that will get picked if we don't include --field_name in any way
										a   :	List[Any]			=       default
										# This tells argparse we accept 0 or 1 value after --field_name
										a   :	str			=       "?"
										# This is the value that will get picked if we do --field_name (without value)
										a   :	Optional[Any]			=       True
								elif isclass(lowerCAmelCase__   ) and issubclass(lowerCAmelCase__   ,      lowerCAmelCase__   ):
									a   :	int			=       field.type.__args__[0]
									a   :	str			=       "+"
									if field.default_factory is not dataclasses.MISSING:
										a   :	Tuple			=       field.default_factory()
									elif field.default is dataclasses.MISSING:
										a   :	List[str]			=       True
								else:
									a   :	str			=       field.type
									if field.default is not dataclasses.MISSING:
										a   :	Union[str, Any]			=       field.default
									elif field.default_factory is not dataclasses.MISSING:
										a   :	Optional[int]			=       field.default_factory()
									else:
										a   :	Tuple			=       True
								parser.add_argument(lowerCAmelCase__   ,      *lowerCAmelCase__   ,      **lowerCAmelCase__   )

								# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
								# Order is important for arguments with the same destination!
								# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
								# here and we do not need those changes/additional keys.
								if field.default is True and (field.type is bool or field.type == Optional[bool]):
									a   :	Dict			=       False
									parser.add_argument(f"""--no_{field.name}"""   ,      action="store_false"   ,      dest=field.name   ,      **lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__   )			->				List[str]:
								if hasattr(lowerCAmelCase__   ,      "_argument_group_name"   ):
									a   :	Any			=       self.add_argument_group(dtype._argument_group_name   )
								else:
									a   :	Optional[Any]			=       self

								try:
									a   :	Dict[str, type]			=       get_type_hints(lowerCAmelCase__   )
								except NameError:
									raise RuntimeError(
									    f"""Type resolution failed for {dtype}. Try declaring the class in global scope or """
									    "removing line of `from __future__ import annotations` which opts in Postponed "
									    "Evaluation of Annotations (PEP 563)"   )
								except TypeError as ex:
									# Remove this block when we drop Python 3.9 support
									if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(lowerCAmelCase__   ):
										a   :	List[Any]			=       ".".join(map(lowerCAmelCase__   ,      sys.version_info[:3]   )   )
										raise RuntimeError(
										    f"""Type resolution failed for {dtype} on Python {python_version}. Try removing """
										    "line of `from __future__ import annotations` which opts in union types as "
										    "`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To "
										    "support Python versions that lower than 3.10, you need to use "
										    "`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of "
										    "`X | None`."   ) from ex
									raise

								for field in dataclasses.fields(lowerCAmelCase__   ):
									if not field.init:
										continue
									a   :	Any			=       type_hints[field.name]
									self._parse_dataclass_field(lowerCAmelCase__   ,      lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__=None   ,      lowerCAmelCase__=False   ,      lowerCAmelCase__=True   ,      lowerCAmelCase__=None   ,      lowerCAmelCase__=None   ,      )			->				Tuple[DataClass, ...]:

								if args_file_flag or args_filename or (look_for_args_file and len(sys.argv   )):
									a   :	Dict			=       []

									if args_filename:
										args_files.append(Path(lowerCAmelCase__   )   )
									elif look_for_args_file and len(sys.argv   ):
										args_files.append(Path(sys.argv[0]   ).with_suffix(".args"   )   )

									# args files specified via command line flag should overwrite default args files so we add them last
									if args_file_flag:
										# Create special parser just to extract the args_file_flag values
										a   :	int			=       ArgumentParser()
										args_file_parser.add_argument(lowerCAmelCase__   ,      type=lowerCAmelCase__   ,      action="append"   )

										# Use only remaining args for further parsing (remove the args_file_flag)
										a, a   :	Dict			=       args_file_parser.parse_known_args(args=lowerCAmelCase__   )
										a   :	Optional[int]			=       vars(lowerCAmelCase__   ).get(args_file_flag.lstrip("-"   )   ,      lowerCAmelCase__   )

										if cmd_args_file_paths:
											args_files.extend([Path(lowerCAmelCase__   ) for p in cmd_args_file_paths]   )

									a   :	Union[str, Any]			=       []
									for args_file in args_files:
										if args_file.exists():
											file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
									a   :	Any			=       file_args + args if args is not None else file_args + sys.argv[1:]
								a, a   :	List[str]			=       self.parse_known_args(args=lowerCAmelCase__   )
								a   :	Dict			=       []
								for dtype in self.dataclass_types:
									a   :	Any			=       {f.name for f in dataclasses.fields(lowerCAmelCase__   ) if f.init}
									a   :	Any			=       {k: v for k, v in vars(lowerCAmelCase__   ).items() if k in keys}
									for k in keys:
										delattr(lowerCAmelCase__   ,      lowerCAmelCase__   )
									a   :	Any			=       dtype(**lowerCAmelCase__   )
									outputs.append(lowerCAmelCase__   )
								if len(namespace.__dict__   ) > 0:
									# additional namespace.
									outputs.append(lowerCAmelCase__   )
								if return_remaining_strings:
									return (*outputs, remaining_args)
								else:
									if remaining_args:
										raise ValueError(f"""Some specified arguments are not used by the HfArgumentParser: {remaining_args}"""   )

									return (*outputs,)






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__ = False   )			->				Tuple[DataClass, ...]:
								a   :	Union[str, Any]			=       set(args.keys()   )
								a   :	List[str]			=       []
								for dtype in self.dataclass_types:
									a   :	int			=       {f.name for f in dataclasses.fields(lowerCAmelCase__   ) if f.init}
									a   :	Tuple			=       {k: v for k, v in args.items() if k in keys}
									unused_keys.difference_update(inputs.keys()   )
									a   :	List[str]			=       dtype(**lowerCAmelCase__   )
									outputs.append(lowerCAmelCase__   )
								if not allow_extra_keys and unused_keys:
									raise ValueError(f"""Some keys are not used by the HfArgumentParser: {sorted(lowerCAmelCase__   )}"""   )
								return tuple(lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__ = False   )			->				Tuple[DataClass, ...]:
								with open(Path(lowerCAmelCase__   )   ,      encoding="utf-8"   ) as open_json_file:
									a   :	List[Any]			=       json.loads(open_json_file.read()   )
								a   :	Optional[Any]			=       self.parse_dict(lowerCAmelCase__   ,      allow_extra_keys=lowerCAmelCase__   )
								return tuple(lowerCAmelCase__   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__ = False   )			->				Tuple[DataClass, ...]:
								a   :	int			=       self.parse_dict(yaml.safe_load(Path(lowerCAmelCase__   ).read_text()   )   ,      allow_extra_keys=lowerCAmelCase__   )
								return tuple(lowerCAmelCase__   )









"""simple docstring"""




# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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


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






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Any=None      )				->Optional[Any]:






	'''simple docstring'''






	if subparsers is not None:
		a   :	int			=       subparsers.add_parser("tpu-config"					, description=_description      )
	else:
		a   :	List[Any]			=       argparse.ArgumentParser("Accelerate tpu-config command"					, description=_description      )
	# Core arguments
	a   :	Dict			=       parser.add_argument_group(
	    "Config Arguments"					, "Arguments that can be configured through `accelerate config`."      )
	config_args.add_argument(
	    "--config_file"					, type=_lowercase					, default=_lowercase					, help="Path to the config file to use for accelerate."					, )
	config_args.add_argument(
	    "--tpu_name"					, default=_lowercase					, 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=_lowercase					, help="The zone of the TPU to use. If not specified, will use the zone specified in the config file."					, )
	a   :	Any			=       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=_lowercase					, 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=_lowercase      )
	return parser






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					Any      )				->Tuple:






	'''simple docstring'''






	a   :	Union[str, Any]			=       None

	# Get the default from the config file if it exists.
	if args.config_file is not None or os.path.isfile(_lowercase      ):
		a   :	Optional[Any]			=       load_config_from_file(args.config_file      )
		if not args.command_file and defaults.command_file is not None and not args.command:
			a   :	int			=       defaults.command_file
		if not args.command and defaults.commands is not None:
			a   :	Union[str, Any]			=       defaults.commands
		if not args.tpu_name:
			a   :	int			=       defaults.tpu_name
		if not args.tpu_zone:
			a   :	Union[str, Any]			=       defaults.tpu_zone
	if args.accelerate_version == "dev":
		a   :	int			=       "git+https://github.com/huggingface/accelerate.git"
	elif args.accelerate_version == "latest":
		a   :	Optional[Any]			=       "accelerate -U"
	elif isinstance(parse(args.accelerate_version      )					, _lowercase      ):
		a   :	Optional[Any]			=       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:
			a   :	int			=       [f.read().splitlines()]

    # To turn list of lists into list of strings
	if isinstance(args.command[0]					, _lowercase      ):
		a   :	Union[str, Any]			=       [line for cmd in args.command for line in cmd]
	# Default to the shared folder and install accelerate
	a   :	Tuple			=       ["cd /usr/share"]
	if args.install_accelerate:
		new_cmd += [F"""pip install {args.accelerate_version}"""]
	new_cmd += args.command
	a   :	List[Any]			=       "; ".join(_lowercase      )

	# Then send it to gcloud
	# Eventually try to use google-api-core to do this instead of subprocess
	a   :	str			=       ["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(_lowercase      )}"""      )
		return
	subprocess.run(_lowercase      )
	print("Successfully setup pod."      )







def    _SCREAMING_SNAKE_CASE	(			)				->Tuple:






	'''simple docstring'''






	a   :	List[Any]			=       tpu_command_parser()
	a   :	Optional[int]			=       parser.parse_args()

	tpu_command_launcher(_lowercase      )


