




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
UpperCAmelCase__            =							{
    '''translation''': ['''bleu'''],
    '''summarization''': ROUGE_KEYS,
}
def     UpperCAmelCase_ (							__snake_case						)					->      Union[str, Any]:







 """simple docstring"""


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







 """simple docstring"""


 _lowercase											=sys.argv[0]

 _lowercase											=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=_A					,						required=_A					,						help='''param space to search, e.g. \"num_beams=5:10 length_penalty=0.8:1.0:1.2\"'''					,						)
 parser.add_argument(
     '''--bs'''					,						type=_A					,						default=8					,						required=_A					,						help='''initial batch size (may get reduced if it\'s too big)'''						)
 parser.add_argument('''--task'''					,						type=_A					,						help='''used for task_specific_params + metrics'''						)
 parser.add_argument(
     '''--info'''					,						nargs='''?'''					,						type=_A					,						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											=parser.parse_known_args()
 # we share some of the args
 args_main.extend(['''--task''', args.task]						)
 _lowercase											=[prog] + args_main

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

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

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

  _lowercase											=run_generate(verbose=_A						)
  # make sure scores are first in the table
  _lowercase											=OrderedDict()
  for score in task_score_names[task]:
   _lowercase											=scores[score]
  result.update(_A						)
  results.append(_A						)

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

 _lowercase											=sorted(_A					,						key=operator.itemgetter(*task_score_names[task]						)					,						reverse=_A						)
 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											=results_sorted[0]
 for score in task_score_names[task]:
  del best[score]
 _lowercase											=[F"--{k} {v}" for k, v in best.items()]
 _lowercase											=['''--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 math import sqrt
def     UpperCAmelCase_ (							__snake_case						)					->      list[int]:







 """simple docstring"""


 _lowercase											=[1]
 for i in range(2					,						int(sqrt(__snake_case						)						) + 1					,						1						):
  if number % i == 0:
   values.append(__snake_case						)
   if int(number // i						) != i:
    values.append(int(number // i						)						)
 return sorted(__snake_case						)
def     UpperCAmelCase_ (							__snake_case						)					->      bool:







 """simple docstring"""


 return sum(factors(__snake_case						)						) > n
def     UpperCAmelCase_ (							__snake_case						)					->      bool:







 """simple docstring"""


 _lowercase											=factors(__snake_case						)
 _lowercase											=len(__snake_case						)
 _lowercase											=[[0 for i in range(number + 1						)] for j in range(r + 1						)]
 for i in range(r + 1						):
  _lowercase											=True

 for i in range(1					,						number + 1						):
  _lowercase											=False

 for i in range(1					,						r + 1						):
  for j in range(1					,						number + 1						):
   if j < values[i - 1]:
    _lowercase											=subset[i - 1][j]
   else:
    _lowercase											=subset[i - 1][j] or subset[i - 1][j - values[i - 1]]

 return subset[r][number] != 0
def     UpperCAmelCase_ (							__snake_case						)					->      bool:







 """simple docstring"""


 return abundant(__snake_case						) and not semi_perfect(__snake_case						)


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)
  for number in (69, 70, 71):
    print(f'''{number} is {'' if weird(number) else 'not '}weird.''')

