



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







def _lowercase   (  __A       ):



	'''simple docstring'''



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







def _lowercase   (  ):



	'''simple docstring'''



	__UpperCamelCase				      =  sys.argv[0]

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

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

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

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

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

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

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



 '''simple docstring'''



 __UpperCamelCase				      =  1
 while b > 0:
  if b & 1:
   res *= a

  a *= a
  b >>= 1

 return res







def _lowercase   (  __A							,__A							,__A       ):



 '''simple docstring'''



 __UpperCamelCase				      =  1
 while b > 0:
  if b & 1:
   __UpperCamelCase				      =  ((res % c) * (a % c)) % c

  a *= a
  b >>= 1

 return res





