
'''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
lowercase	:      int				=       {
    """translation""": ["""bleu"""],
    """summarization""": ROUGE_KEYS,
}




def 		a_( lowerCamelCase      )				->List[str]:






       '''simple docstring'''




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




def 		a_( )				->str:






       '''simple docstring'''




       lowercase  :		int						=      sys.argv[0]

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

       # to support variations like translation_en_to_de"
       lowercase  :		Optional[int]						=      'translation' if 'translation' in args.task else 'summarization'

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

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

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

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

       lowercase  :		Any						=      sorted(lowerCAmelCase__   ,				key=operator.itemgetter(*task_score_names[task]      )   ,				reverse=lowerCAmelCase__      )
       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  :		Union[str, Any]						=      results_sorted[0]
       for score in task_score_names[task]:
              del best[score]
       lowercase  :		Optional[Any]						=      [f"""--{k} {v}""" for k, v in best.items()]
       lowercase  :		Dict						=      ['--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'''






def 		a_( lowerCamelCase   ,				lowerCamelCase      )				->list[tuple[int, int, int]]:






       '''simple docstring'''




       lowercase  :		Dict						=      sorted(lowerCamelCase   ,				key=lambda lowerCamelCase      : edge[2]      )

       lowercase  :		str						=      list(range(lowerCamelCase      )      )

       def find_parent(lowerCamelCase      ):
              if i != parent[i]:
                     lowercase  :		Optional[int]						=      find_parent(parent[i]      )
              return parent[i]

       lowercase  :		Union[str, Any]						=      0
       lowercase  :		Any						=      []

       for edge in edges:
              lowercase  :		Optional[Any]						=      find_parent(edge[0]      )
              lowercase  :		Any						=      find_parent(edge[1]      )
              if parent_a != parent_b:
                     minimum_spanning_tree_cost += edge[2]
                     minimum_spanning_tree.append(lowerCamelCase      )
                     lowercase  :		Optional[int]						=      parent_b

       return minimum_spanning_tree


if __name__ == "__main__":  # pragma: no cover
      lowercase	,	lowercase	:      List[Any]				=       list(map(int, input().strip().split()))
      lowercase	:      List[Any]				=       []

      for _ in range(num_edges):
            lowercase	,	lowercase	,	lowercase	:      Optional[Any]				=       (int(x) for x in input().strip().split())
            edges.append((nodea, nodea, cost))

      kruskal(num_nodes, edges)




