
"""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


lowerCAmelCase__							=				'Run commands across TPU VMs for initial setup before running `accelerate launch`.'

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

def        _lowerCamelCase ( __a    ):
		SCREAMING_SNAKE_CASE_						 = None

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

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

		# Then send it to gcloud
		# Eventually try to use google-api-core to do this instead of subprocess
		SCREAMING_SNAKE_CASE_						 = ['''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(__a    )}'    )
				return
		subprocess.run(__a    )
		print('''Successfully setup pod.'''    )


def        _lowerCamelCase ( ):
		SCREAMING_SNAKE_CASE_						 = tpu_command_parser()
		SCREAMING_SNAKE_CASE_						 = parser.parse_args()

		tpu_command_launcher(__a    )

"""simple docstring"""




import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class  snake_case     (							__lowercase       ,			unittest.TestCase   ):
							UpperCAmelCase__						     =      CTRLTokenizer
							UpperCAmelCase__						     =      False
							UpperCAmelCase__						     =      False

							def _lowercase					(self    ):

									"""simple docstring"""







									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									SCREAMING_SNAKE_CASE_						 = ['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
									SCREAMING_SNAKE_CASE_						 = dict(zip(SCREAMING_SNAKE_CASE_       ,       range(len(SCREAMING_SNAKE_CASE_    )    )    )    )
									SCREAMING_SNAKE_CASE_						 = ['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
									SCREAMING_SNAKE_CASE_						 = {'''unk_token''': '''<unk>'''}

									SCREAMING_SNAKE_CASE_						 = os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['''vocab_file''']    )
									SCREAMING_SNAKE_CASE_						 = os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['''merges_file''']    )
									with open(self.vocab_file       ,       '''w'''       ,       encoding='''utf-8'''    ) as fp:
											fp.write(json.dumps(SCREAMING_SNAKE_CASE_    ) + '''\n'''    )
									with open(self.merges_file       ,       '''w'''       ,       encoding='''utf-8'''    ) as fp:
											fp.write('''\n'''.join(SCREAMING_SNAKE_CASE_    )    )

							def _lowercase					(self       ,       **SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									kwargs.update(self.special_tokens_map    )
									return CTRLTokenizer.from_pretrained(self.tmpdirname       ,       **SCREAMING_SNAKE_CASE_    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									return input_text, output_text







							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = CTRLTokenizer(self.vocab_file       ,       self.merges_file       ,       **self.special_tokens_map    )
									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									SCREAMING_SNAKE_CASE_						 = '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
									SCREAMING_SNAKE_CASE_						 = tokenizer.tokenize(SCREAMING_SNAKE_CASE_    )
									self.assertListEqual(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )

									SCREAMING_SNAKE_CASE_						 = tokens + [tokenizer.unk_token]

									SCREAMING_SNAKE_CASE_						 = [0, 1, 2, 4, 5, 1, 0, 3, 6]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_    )       ,       SCREAMING_SNAKE_CASE_    )