


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   snake_case_	(    snake_case	)    ->							Optional[Any]:
       lowercase__:  Any         =  search.split()
       lowercase__:  Optional[Any]         =  dict((g.split('='	) for g in groups)	)
       lowercase__:  Dict         =  list(entries.keys()	)
       lowercase__:  Optional[Any]         =  [[f'--{k} {v}' for v in vs.split(':'	)] for k, vs in entries.items()]
       lowercase__:  int         =  [list(UpperCAmelCase__	) for x in itertools.product(*UpperCAmelCase__	)]
       return matrix, entry_names




def   snake_case_	(    )    ->							List[str]:
       lowercase__:  str         =  sys.argv[0]

       lowercase__:  Union[str, Any]         =  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.'
           )     ,				)
       lowercase__     ,		lowercase__:  int         =  parser.parse_known_args()
       # we share some of the args
       args_main.extend(['--task', args.task]	)
       lowercase__:  Optional[int]         =  [prog] + args_main

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

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

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

              lowercase__:  List[Any]         =  run_generate(verbose=UpperCAmelCase__	)
              # make sure scores are first in the table
              lowercase__:  Dict         =  OrderedDict()
              for score in task_score_names[task]:
                     lowercase__:  Tuple         =  scores[score]
              result.update(UpperCAmelCase__	)
              results.append(UpperCAmelCase__	)

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

       lowercase__:  Dict         =  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]	)	)

       lowercase__:  Any         =  results_sorted[0]
       for score in task_score_names[task]:
              del best[score]
       lowercase__:  Dict         =  [f'--{k} {v}' for k, v in best.items()]
       lowercase__:  Optional[int]         =  ['--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()







from collections import Counter


def 						UpperCAmelCase__   (   UpperCAmelCase__			:list[int]       ):






 '''simple docstring'''

 return sum(socks_by_color // 2 for socks_by_color in Counter(UpperCAmelCase__       ).values()       )


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     A_		:  List[str]										=  [int(x) for x in input('''Enter socks by color :''').rstrip().split()]
     print(F"""sock_merchant({colors}) = {sock_merchant(colors)}""")

