


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 	_lowerCamelCase  (		A_  :	Dict      )			->			str:

   '''simple docstring'''






   UpperCamelCase__ :			Union[str, Any] 						=search.split()
   UpperCamelCase__ :			Optional[Any] 						=dict((g.split("="      ) for g in groups)      )
   UpperCamelCase__ :			Tuple 						=list(entries.keys()      )
   UpperCamelCase__ :			Union[str, Any] 						=[[f'''--{k} {v}''' for v in vs.split(":"      )] for k, vs in entries.items()]
   UpperCamelCase__ :			int 						=[list(A_      ) for x in itertools.product(*A_      )]
   return matrix, entry_names
def 	_lowerCamelCase  (		)			->			int:

   '''simple docstring'''






   UpperCamelCase__ :			Tuple 						=sys.argv[0]

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

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

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

      # find widest entries
      for k, v in result.items():
         UpperCamelCase__ :			Optional[int] 						=len(str(A_      )      )
         if l > col_widths[k]:
            UpperCamelCase__ :			Union[str, Any] 						=l

   UpperCamelCase__ :			List[Any] 						=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]      )      )

   UpperCamelCase__ :			Optional[Any] 						=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__ :			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()





def 	_lowerCamelCase  (		A_  :	Union[str, Any]							,  A_  :	Optional[int]      )			->			Dict:

   '''simple docstring'''






   if len(str(A_      )      ) == 1 or len(str(A_      )      ) == 1:
      return a * b

   UpperCamelCase__ :			Any 						=max(len(str(A_      )      )							,  len(str(A_      )      )      )
   UpperCamelCase__ :			Optional[int] 						=ma // 2

   UpperCamelCase__						,	UpperCamelCase__ :			Dict 						=divmod(A_							,  1_0**ma      )
   UpperCamelCase__						,	UpperCamelCase__ :			Union[str, Any] 						=divmod(A_							,  1_0**ma      )

   UpperCamelCase__ :			List[Any] 						=karatsuba(A_							,  A_      )
   UpperCamelCase__ :			Dict 						=karatsuba((aa + aa)							,  (ba + ba)      )
   UpperCamelCase__ :			Optional[int] 						=karatsuba(A_							,  A_      )

   return (z * 1_0 ** (2 * ma)) + ((y - z - x) * 1_0 ** (ma)) + (x)
def 	_lowerCamelCase  (		)			->			Any:

   '''simple docstring'''






   print(karatsuba(1_5_4_6_3							,  2_3_4_8_9      )      )


if __name__ == "__main__":
     main()

