
'''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
__SCREAMING_SNAKE_CASE		:  Union[str, Any]        =      {
    'translation': ['bleu'],
    'summarization': ROUGE_KEYS,
}

def 				_snake_case (		lowercase						)       ->       Dict:
				__a       :     Tuple								=	search.split()
				__a       :     Any								=	dict((g.split("""="""						) for g in groups)						)
				__a       :     Any								=	list(entries.keys()						)
				__a       :     Tuple								=	[[F"""--{k} {v}""" for v in vs.split(""":"""						)] for k, vs in entries.items()]
				__a       :     List[str]								=	[list(lowercase						) for x in itertools.product(*lowercase						)]
				return matrix, entry_names

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

				# to support variations like translation_en_to_de"
				__a       :     List[Any]								=	"""translation""" if """translation""" in args.task else """summarization"""

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

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

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

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

				__a       :     Optional[int]								=	sorted(lowercase			,    key=operator.itemgetter(*task_score_names[task]						)			,    reverse=lowercase						)
				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       :     Dict								=	results_sorted[0]
				for score in task_score_names[task]:
								del best[score]
				__a       :     int								=	[F"""--{k} {v}""" for k, v in best.items()]
				__a       :     Optional[int]								=	["""--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 (		lowercase = 2_0						)       ->       int:

				try:
								__a       :     Optional[Any]								=	int(lowercase						)
				except (TypeError, ValueError):
								raise TypeError("""Parameter n must be int or castable to int."""						)
				if n <= 0:
								raise ValueError("""Parameter n must be greater than or equal to one."""						)
				__a       :     List[Any]								=	0
				while 1:
								i += n * (n - 1)
								__a       :     Union[str, Any]								=	0
								for j in range(2			,    lowercase						):
												if i % j != 0:
																__a       :     Any								=	1
																break
								if nfound == 0:
												if i == 0:
																__a       :     List[str]								=	1
												return i
				return None


if __name__ == "__main__":
					print(f'''{solution() = }''')