



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






def        a( A			:       List[Any]			)						->			List[Any]:
					"""simple docstring"""





					a   	=  search.split()
					a   	=  dict((g.split("="			) for g in groups)			)
					a   	=  list(entries.keys()			)
					a   	=  [[f'''--{k} {v}''' for v in vs.split(":"			)] for k, vs in entries.items()]
					a   	=  [list(lowerCAmelCase_			) for x in itertools.product(*lowerCAmelCase_			)]
					return matrix, entry_names






def        a( )						->			Optional[Any]:
					"""simple docstring"""





					a   	=  sys.argv[0]

					a   	=  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."
					    )					,	)
					a   	=  parser.parse_known_args()
					# we share some of the args
					args_main.extend(["--task", args.task]			)
					a   	=  [prog] + args_main

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

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

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

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

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

					a   	=  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]			)			)

					a   	=  results_sorted[0]
					for score in task_score_names[task]:
										del best[score]
					a   	=  [f'''--{k} {v}''' for k, v in best.items()]
					a   	=  ['''--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()

UpperCAmelCase				 =   {
    0: """underwear""",
    1: """pants""",
    2: """belt""",
    3: """suit""",
    4: """shoe""",
    5: """socks""",
    6: """shirt""",
    7: """tie""",
    8: """watch""",
}

UpperCAmelCase				 =   [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

UpperCAmelCase				 =   [0 for x in range(len(graph))]
UpperCAmelCase				 =   []







def 						UpperCAmelCase							(		lowerCAmelCase_    ,   lowerCAmelCase_							)						->						List[Any]:
     a	:     Tuple						      =    1
     while stack:
          a	:     Optional[Any]						      =    stack.pop()
          print(lowerCAmelCase_    ,   clothes[current_clothing]							)
          order += 1







def 						UpperCAmelCase							(		lowerCAmelCase_    ,   lowerCAmelCase_    ,   lowerCAmelCase_							)						->						Any:
     a	:     Union[str, Any]						      =    1
     for v in graph[u]:
          if not visited[v]:
               depth_first_search(lowerCAmelCase_    ,   lowerCAmelCase_    ,   lowerCAmelCase_							)

     stack.append(lowerCAmelCase_							)







def 						UpperCAmelCase							(		lowerCAmelCase_    ,   lowerCAmelCase_							)						->						Optional[Any]:
     for v in range(len(lowerCAmelCase_							)							):
          if not visited[v]:
               depth_first_search(lowerCAmelCase_    ,   lowerCAmelCase_    ,   lowerCAmelCase_							)


if __name__ == "__main__":
  topological_sort(graph, visited)
  print(stack)
  print_stack(stack, clothes)