






"""simple docstring"""



import subprocess
from argparse import ArgumentParser
from typing import List, Union

from huggingface_hub.hf_api import HfFolder, create_repo, whoami
from requests.exceptions import HTTPError

from . import BaseTransformersCLICommand

class 			a	(  a_      ):







    @staticmethod
    def      UpperCamelCase_ (     _lowerCamelCase			):
      lowercase				       =			parser.add_parser('login'				,						help='Log in using the same credentials as on huggingface.co'			)
      login_parser.set_defaults(func=lambda _lowerCamelCase			: LoginCommand(_lowerCamelCase			)			)
      lowercase				       =			parser.add_parser('whoami'				,						help='Find out which huggingface.co account you are logged in as.'			)
      whoami_parser.set_defaults(func=lambda _lowerCamelCase			: WhoamiCommand(_lowerCamelCase			)			)
      lowercase				       =			parser.add_parser('logout'				,						help='Log out'			)
      logout_parser.set_defaults(func=lambda _lowerCamelCase			: LogoutCommand(_lowerCamelCase			)			)

      # new system: git-based repo system
      lowercase				       =			parser.add_parser(
          'repo'				,						help='Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos.'				,						)
      lowercase				       =			repo_parser.add_subparsers(
          help='Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands'			)
      lowercase				       =			repo_subparsers.add_parser(
          'create'				,						help='Deprecated: use `huggingface-cli` instead. Create a new repo on huggingface.co'			)
      repo_create_parser.add_argument(
          'name'				,						type=_lowerCamelCase				,						help='Name for your model\'s repo. Will be namespaced under your username to build the model id.'				,						)
      repo_create_parser.add_argument('--organization'				,						type=_lowerCamelCase				,						help='Optional: organization namespace.'			)
      repo_create_parser.add_argument('-y'				,						'--yes'				,						action='store_true'				,						help='Optional: answer Yes to the prompt'			)
      repo_create_parser.set_defaults(func=lambda _lowerCamelCase			: RepoCreateCommand(_lowerCamelCase			)			)


class 			a	:
    UpperCAmelCase_					:	Union[str, Any]      	="\u001b[1m"
    UpperCAmelCase_					:	Optional[Any]      	="\u001b[31m"
    UpperCAmelCase_					:	List[str]      	="\u001b[90m"
    UpperCAmelCase_					:	str      	="\u001b[0m"







    @classmethod
    def      UpperCamelCase_ (     cls				,						_lowerCamelCase			):
      return F'{cls._bold}{s}{cls._reset}'







    @classmethod
    def      UpperCamelCase_ (     cls				,						_lowerCamelCase			):
      return F'{cls._bold}{cls._red}{s}{cls._reset}'







    @classmethod
    def      UpperCamelCase_ (     cls				,						_lowerCamelCase			):
      return F'{cls._gray}{s}{cls._reset}'


def 		_SCREAMING_SNAKE_CASE					(       __snake_case     :    List[List[Union[str, int]]]						,   __snake_case     :    List[str]       ):





  '''simple docstring'''





  lowercase				       =			[max(len(str(__snake_case       )       ) for x in col       ) for col in zip(*__snake_case						,   __snake_case       )]
  lowercase				       =			('{{:{}}} ' * len(__snake_case       )).format(*__snake_case       )
  lowercase				       =			[]
  lines.append(row_format.format(*__snake_case       )       )
  lines.append(row_format.format(*['-' * w for w in col_widths]       )       )
  for row in rows:
    lines.append(row_format.format(*__snake_case       )       )
  return "\n".join(__snake_case       )

class 			a	:







    def __init__(     self				,						_lowerCamelCase			):
      lowercase				       =			args


class 			a	(  a_      ):







    def      UpperCamelCase_ (     self			):
      print(
          ANSI.red(
              'ERROR! `huggingface-cli login` uses an outdated login mechanism '
              'that is not compatible with the Hugging Face Hub backend anymore. '
              'Please use `huggingface-cli login instead.'			)			)


class 			a	(  a_      ):







    def      UpperCamelCase_ (     self			):
      print(
          ANSI.red(
              'WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use '
              '`huggingface-cli whoami` instead.'			)			)
      lowercase				       =			HfFolder.get_token()
      if token is None:
        print('Not logged in'			)
        exit()
      try:
        lowercase       ,	lowercase				       =			whoami(_lowerCamelCase			)
        print(_lowerCamelCase			)
        if orgs:
          print(ANSI.bold('orgs: '			)				,						','.join(_lowerCamelCase			)			)
      except HTTPError as e:
        print(_lowerCamelCase			)
        print(ANSI.red(e.response.text			)			)
        exit(1			)


class 			a	(  a_      ):







    def      UpperCamelCase_ (     self			):
      print(
          ANSI.red(
              'ERROR! `transformers-cli logout` uses an outdated logout mechanism '
              'that is not compatible with the Hugging Face Hub backend anymore. '
              'Please use `huggingface-cli logout instead.'			)			)


class 			a	(  a_      ):







    def      UpperCamelCase_ (     self			):
      print(
          ANSI.red(
              'WARNING! Managing repositories through transformers-cli is deprecated. '
              'Please use `huggingface-cli` instead.'			)			)
      lowercase				       =			HfFolder.get_token()
      if token is None:
        print('Not logged in'			)
        exit(1			)
      try:
        lowercase				       =			subprocess.check_output(['git', '--version']			).decode('utf-8'			)
        print(ANSI.gray(stdout.strip()			)			)
      except FileNotFoundError:
        print('Looks like you do not have git installed, please install.'			)

      try:
        lowercase				       =			subprocess.check_output(['git-lfs', '--version']			).decode('utf-8'			)
        print(ANSI.gray(stdout.strip()			)			)
      except FileNotFoundError:
        print(
            ANSI.red(
                'Looks like you do not have git-lfs installed, please install.'
                ' You can install from https://git-lfs.github.com/.'
                ' Then run `git lfs install` (you only have to do this once).'			)			)
      print(''			)

      lowercase       ,	lowercase				       =			whoami(_lowerCamelCase			)
      lowercase				       =			self.args.organization if self.args.organization is not None else user
      lowercase				       =			F'{namespace}/{self.args.name}'
      print(F'You are about to create {ANSI.bold(_lowerCamelCase			)}'			)

      if not self.args.yes:
        lowercase				       =			input('Proceed? [Y/n] '			).lower()
        if not (choice == "" or choice == "y" or choice == "yes"):
          print('Abort'			)
          exit()
      try:
        lowercase				       =			create_repo(_lowerCamelCase				,						name=self.args.name				,						organization=self.args.organization			)
      except HTTPError as e:
        print(_lowerCamelCase			)
        print(ANSI.red(e.response.text			)			)
        exit(1			)
      print('\nYour repo now lives at:'			)
      print(F'  {ANSI.bold(_lowerCamelCase			)}'			)
      print('\nYou can clone it locally with the command below, and commit/push as usual.'			)
      print(F'\n  git clone {url}'			)
      print(''			)





import argparse
import itertools
import operator
import sys
from collections import OrderedDict

from run_eval import datetime_now, run_generate

from utils import ROUGE_KEYS


# A table of supported tasks and the list of scores in the order of importance to be sorted by.
# To add a new task, simply list the score names that `run_eval.run_generate()` returns
lowerCAmelCase__             =		{
    """translation""": ["""bleu"""],
    """summarization""": ROUGE_KEYS,
}






def        lowerCamelCase_  (				UpperCAmelCase_				:  Optional[int]						)    ->					Any:




	'''simple docstring'''




	_UpperCamelCase :		str								=    search.split()
	_UpperCamelCase :		str								=    dict((g.split('='						) for g in groups)						)
	_UpperCamelCase :		List[Any]								=    list(entries.keys()						)
	_UpperCamelCase :		Dict								=    [[F'''--{k} {v}''' for v in vs.split(':'						)] for k, vs in entries.items()]
	_UpperCamelCase :		Dict								=    [list(UpperCAmelCase_						) for x in itertools.product(*UpperCAmelCase_						)]
	return matrix, entry_names






def        lowerCamelCase_  (				)    ->					int:




	'''simple docstring'''




	_UpperCamelCase :		Optional[Any]								=    sys.argv[0]

	_UpperCamelCase :		Tuple								=    argparse.ArgumentParser(
	    usage=(
	        '\n\nImportant: this script accepts all arguments `run_eval.py` accepts and then a few extra, therefore'
	        ' refer to `run_eval.py -h` for the complete list.'
	    )						)
	parser.add_argument(
	    '--search'				,							type=UpperCAmelCase_				,							required=UpperCAmelCase_				,							help='param space to search, e.g. "num_beams=5:10 length_penalty=0.8:1.0:1.2"'				,							)
	parser.add_argument(
	    '--bs'				,							type=UpperCAmelCase_				,							default=8				,							required=UpperCAmelCase_				,							help='initial batch size (may get reduced if it\'s too big)'						)
	parser.add_argument('--task'				,							type=UpperCAmelCase_				,							help='used for task_specific_params + metrics'						)
	parser.add_argument(
	    '--info'				,							nargs='?'				,							type=UpperCAmelCase_				,							const=datetime_now()				,							help=(
	        'add custom notes to be printed before the results table. If no value is passed, the current datetime'
	        ' string will be used.'
	    )				,							)
	_UpperCamelCase						,		_UpperCamelCase :		str								=    parser.parse_known_args()
	# we share some of the args
	args_main.extend(['--task', args.task]						)
	_UpperCamelCase :		str								=    [prog] + args_main

	# to support variations like translation_en_to_de"
	_UpperCamelCase :		Tuple								=    'translation' if 'translation' in args.task else 'summarization'

	_UpperCamelCase						,		_UpperCamelCase :		Optional[int]								=    parse_search_arg(args.search						)
	_UpperCamelCase :		List[Any]								=    task_score_names[task]  # score cols first
	_UpperCamelCase :		Optional[int]								=    {col: len(str(UpperCAmelCase_						)						) for col in col_names}
	_UpperCamelCase :		str								=    []
	for r in matrix:
		_UpperCamelCase :		Union[str, Any]								=    dict((x.replace('--'				,							''						).split() for x in r)						)
		_UpperCamelCase :		List[str]								=    ' '.join(UpperCAmelCase_						).split()
		args_exp.extend(['--bs', str(args.bs						)]						)  # in case we need to reduce its size due to CUDA OOM
		_UpperCamelCase :		Union[str, Any]								=    args_normal + args_exp

		# XXX: need to trap CUDA OOM and lower args.bs if that happens and retry

		_UpperCamelCase :		Any								=    run_generate(verbose=UpperCAmelCase_						)
		# make sure scores are first in the table
		_UpperCamelCase :		Optional[int]								=    OrderedDict()
		for score in task_score_names[task]:
			_UpperCamelCase :		Tuple								=    scores[score]
		result.update(UpperCAmelCase_						)
		results.append(UpperCAmelCase_						)

		# find widest entries
		for k, v in result.items():
			_UpperCamelCase :		Tuple								=    len(str(UpperCAmelCase_						)						)
			if l > col_widths[k]:
				_UpperCamelCase :		str								=    l

	_UpperCamelCase :		Optional[int]								=    sorted(UpperCAmelCase_				,							key=operator.itemgetter(*task_score_names[task]						)				,							reverse=UpperCAmelCase_						)
	print(' | '.join([F'''{col:{col_widths[col]}}''' for col in col_names]						)						)
	print(' | '.join([F'''{"-"*col_widths[col]}''' for col in col_names]						)						)
	for row in results_sorted:
		print(' | '.join([F'''{row[col]:{col_widths[col]}}''' for col in col_names]						)						)

	_UpperCamelCase :		Optional[int]								=    results_sorted[0]
	for score in task_score_names[task]:
		del best[score]
	_UpperCamelCase :		str								=    [F'''--{k} {v}''' for k, v in best.items()]
	_UpperCamelCase :		Optional[Any]								=    ['--bs', str(args.bs						)]
	if args.info:
		print(F'''\nInfo: {args.info}'''						)
	print('\nBest score args:'						)
	print(' '.join(args_main + best_args + dyn_args						)						)

	return results_sorted


if __name__ == "__main__":
							# Usage:
							# [normal-run_eval_search.py cmd plus] \
							# --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
							#
							# Example:
							# PYTHONPATH="src:examples/seq2seq" python examples/seq2seq/run_eval_search.py $MODEL_NAME \
							# $DATA_DIR/val.source $SAVE_DIR/test_translations.txt --reference_path $DATA_DIR/val.target \
							# --score_path $SAVE_DIR/test_bleu.json --bs $BS --task translation \
							# --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
							run_search()




