





'''simple docstring'''


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
A_				     =							{
    "translation": ["bleu"],
    "summarization": ROUGE_KEYS,
}




def       A							(      _UpperCAmelCase   :				int					)  ->				Dict:


  '''simple docstring'''




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




def       A							(      )  ->				int:


  '''simple docstring'''




  __lowerCAmelCase		:    int			     =  sys.argv[0]

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

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

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

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

    __lowerCAmelCase		:    List[Any]			     =  run_generate(verbose=_UpperCAmelCase					)
    # make sure scores are first in the table
    __lowerCAmelCase		:    Tuple			     =  OrderedDict()
    for score in task_score_names[task]:
      __lowerCAmelCase		:    Union[str, Any]			     =  scores[score]
    result.update(_UpperCAmelCase					)
    results.append(_UpperCAmelCase					)

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

  __lowerCAmelCase		:    str			     =  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]					)					)

  __lowerCAmelCase		:    Dict			     =  results_sorted[0]
  for score in task_score_names[task]:
    del best[score]
  __lowerCAmelCase		:    Union[str, Any]			     =  [F"""--{k} {v}""" for k, v in best.items()]
  __lowerCAmelCase		:    List[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()












'''simple docstring'''


from __future__ import annotations




def       A							(      _UpperCAmelCase   :				list					)  ->				int | float:


  '''simple docstring'''




  __lowerCAmelCase		:    List[Any]			     =  sorted(_UpperCAmelCase					)
  __lowerCAmelCase		:    List[str]			     =  len(_UpperCAmelCase					)
  __lowerCAmelCase		:    Any			     =  length >> 1
  return (
      (sorted_list[mid_index] + sorted_list[mid_index - 1]) / 2
      if length % 2 == 0
      else sorted_list[mid_index]
  )




def       A							(      )  ->				Union[str, Any]:


  '''simple docstring'''




  import doctest

  doctest.testmod()


if __name__ == "__main__":
    main()





