
'''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__ :		List[str]					={
    '''translation''': ['''bleu'''],
    '''summarization''': ROUGE_KEYS,
}







def 							A_  (    __SCREAMING_SNAKE_CASE    :	Any			)					->							Tuple:





  """simple docstring"""

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







def 							A_  (    )					->							List[Any]:





  """simple docstring"""

  __A		:  Optional[int]       				=		sys.argv[0]

  __A		:  Optional[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=_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."""
      )      ,  )
  __A				,       __A		:  Tuple       				=		parser.parse_known_args()
  # we share some of the args
  args_main.extend(["""--task""", args.task]			)
  __A		:  str       				=		[prog] + args_main

  # to support variations like translation_en_to_de"
  __A		:  Tuple       				=		"""translation""" if """translation""" in args.task else """summarization"""

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

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

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

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

  __A		:  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]			)			)

  __A		:  Optional[Any]       				=		results_sorted[0]
  for score in task_score_names[task]:
    del best[score]
  __A		:  str       				=		[F"--{k} {v}" for k, v in best.items()]
  __A		:  str       				=		["""--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'''


lowerCamelCase_					:			List[Any]     						=				{0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

lowerCamelCase_					:			Tuple     						=				{0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}







def 						__magic_name__(			_A    ,   _A    ,   _A       ):
						'''simple docstring'''





						UpperCamelCase__       =			True
						UpperCamelCase__       =			[]

						for neighbour in graph[vert]:
												if not visited[neighbour]:
																		connected_verts += dfs(_A    ,   _A    ,   _A       )

						return [vert, *connected_verts]







def 						__magic_name__(			_A       ):
						'''simple docstring'''





						UpperCamelCase__       =			len(_A       )
						UpperCamelCase__       =			graph_size * [False]
						UpperCamelCase__       =			[]

						for i in range(_A       ):
												if not visited[i]:
																		UpperCamelCase__       =			dfs(_A    ,   _A    ,   _A       )
																		components_list.append(_A       )

						return components_list


if __name__ == "__main__":
					import doctest

					doctest.testmod()
