code: 
  """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  (	__lowerCamelCase						):
     UpperCAmelCase_      :      int      =					search.split()
     UpperCAmelCase_      :      str      =					dict((g.split("="						) for g in groups)						)
     UpperCAmelCase_      :      List[str]      =					list(entries.keys()						)
     UpperCAmelCase_      :      Tuple      =					[[f"""--{k} {v}""" for v in vs.split(":"						)] for k, vs in entries.items()]
     UpperCAmelCase_      :      Tuple      =					[list(snake_case__						) for x in itertools.product(*snake_case__						)]
     return matrix, entry_names
  
  
  
  
  
  
  
  def 			__a  (	):
     UpperCAmelCase_      :      Union[str, Any]      =					sys.argv[0]
  
     UpperCAmelCase_      :      int      =					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=snake_case__,	required=snake_case__,	help="param space to search, e.g. \"num_beams=5:10 length_penalty=0.8:1.0:1.2\"",	)
     parser.add_argument(
         "--bs",	type=snake_case__,	default=8,	required=snake_case__,	help="initial batch size (may get reduced if it\'s too big)"						)
     parser.add_argument("--task",	type=snake_case__,	help="used for task_specific_params + metrics"						)
     parser.add_argument(
         "--info",	nargs="?",	type=snake_case__,	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_      :      Union[str, Any]      =					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_      :      str      =					"translation" if "translation" in args.task else "summarization"
  
     UpperCAmelCase_  ,     UpperCAmelCase_      :      int      =					parse_search_arg(args.search						)
     UpperCAmelCase_      :      Tuple      =					task_score_names[task]  # score cols first
     UpperCAmelCase_      :      Dict      =					{col: len(str(snake_case__						)						) for col in col_names}
     UpperCAmelCase_      :      int      =					[]
     for r in matrix:
        UpperCAmelCase_      :      Any      =					dict((x.replace("--",	""						).split() for x in r)						)
        UpperCAmelCase_      :      Dict      =					" ".join(snake_case__						).split()
        args_exp.extend(["--bs", str(args.bs						)]						)  # in case we need to reduce its size due to CUDA OOM
        UpperCAmelCase_      :      Dict      =					args_normal + args_exp
  
        # XXX: need to trap CUDA OOM and lower args.bs if that happens and retry
  
        UpperCAmelCase_      :      List[Any]      =					run_generate(verbose=snake_case__						)
        # make sure scores are first in the table
        UpperCAmelCase_      :      Union[str, Any]      =					OrderedDict()
        for score in task_score_names[task]:
           UpperCAmelCase_      :      Dict      =					scores[score]
        result.update(snake_case__						)
        results.append(snake_case__						)
  
        # find widest entries
        for k, v in result.items():
           UpperCAmelCase_      :      Optional[Any]      =					len(str(snake_case__						)						)
           if l > col_widths[k]:
              UpperCAmelCase_      :      Tuple      =					l
  
     UpperCAmelCase_      :      Optional[int]      =					sorted(snake_case__,	key=operator.itemgetter(*task_score_names[task]						),	reverse=snake_case__						)
     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_      :      List[Any]      =					results_sorted[0]
     for score in task_score_names[task]:
        del best[score]
     UpperCAmelCase_      :      List[str]      =					[f"""--{k} {v}""" for k, v in best.items()]
     UpperCAmelCase_      :      Tuple      =					["--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()
  
  
  
style_context: 
  """simple docstring"""
  
  
  
  
  
  def 			__a  (	__lowerCamelCase = 1000						):
     UpperCAmelCase_      :      List[Any]      =					0
     UpperCAmelCase_      :      List[str]      =					(n - 1) // 3
     total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
     UpperCAmelCase_      :      Any      =					(n - 1) // 5
     total += ((terms) * (10 + (terms - 1) * 5)) // 2
     UpperCAmelCase_      :      Optional[int]      =					(n - 1) // 15
     total -= ((terms) * (30 + (terms - 1) * 15)) // 2
     return total
  
  
  if __name__ == "__main__":
      print(f"""{solution() = }""")
  
  
  