


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


def 					_snake_case   (     A       )						->    Optional[Any]:
							lowerCAmelCase__          =	search.split()
							lowerCAmelCase__          =	dict((g.split('''='''       ) for g in groups)       )
							lowerCAmelCase__          =	list(entries.keys()       )
							lowerCAmelCase__          =	[[F"""--{k} {v}""" for v in vs.split(''':'''       )] for k, vs in entries.items()]
							lowerCAmelCase__          =	[list(A       ) for x in itertools.product(*A       )]
							return matrix, entry_names


def 					_snake_case   (     )						->    int:
							lowerCAmelCase__          =	sys.argv[0]

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

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

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

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

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

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

							lowerCAmelCase__          =	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]       )       )

							lowerCAmelCase__          =	results_sorted[0]
							for score in task_score_names[task]:
														del best[score]
							lowerCAmelCase__          =	[F"""--{k} {v}""" for k, v in best.items()]
							lowerCAmelCase__          =	['''--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 					_snake_case   (     A       )						->    str:
							return " ".join(sorted(set(sentence.split()       )       )       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()