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



def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     Union[str, Any]:
			UpperCamelCase__    :		Dict     =				search.split()
			UpperCamelCase__    :		int     =				dict((g.split('=' ) for g in groups) )
			UpperCamelCase__    :		Tuple     =				list(entries.keys() )
			UpperCamelCase__    :		int     =				[[F"""--{k} {v}""" for v in vs.split(':' )] for k, vs in entries.items()]
			UpperCamelCase__    :		Optional[int]     =				[list(__SCREAMING_SNAKE_CASE ) for x in itertools.product(*__SCREAMING_SNAKE_CASE )]
			return matrix, entry_names



def       _lowercase					(      )	->     Any:
			UpperCamelCase__    :		Union[str, Any]     =				sys.argv[0]

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

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

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

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

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

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

			UpperCamelCase__    :		Optional[int]     =				sorted(__SCREAMING_SNAKE_CASE				,    key=operator.itemgetter(*task_score_names[task] )				,    reverse=__SCREAMING_SNAKE_CASE )
			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__    :		str     =				results_sorted[0]
			for score in task_score_names[task]:
						del best[score]
			UpperCamelCase__    :		Union[str, Any]     =				[F"""--{k} {v}""" for k, v in best.items()]
			UpperCamelCase__    :		Dict     =				['--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()





import numpy as np

UpperCAmelCase__				:  str       					=				[
    ['''a''', '''b''', '''c''', '''d''', '''e'''],
    ['''f''', '''g''', '''h''', '''i''', '''k'''],
    ['''l''', '''m''', '''n''', '''o''', '''p'''],
    ['''q''', '''r''', '''s''', '''t''', '''u'''],
    ['''v''', '''w''', '''x''', '''y''', '''z'''],
]



class 			UpperCamelCase_			:




							'''simple docstring'''

							def __init__(				self) ->	None:
										UpperCamelCase__    :		Any     =				np.array(UpperCamelCase)
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	np.ndarray:
										UpperCamelCase__   ,			UpperCamelCase__    :		Optional[int]     =				np.where(letter == self.SQUARE)
										UpperCamelCase__    :		int     =				np.concatenate([indexa + 1, indexa + 1])
										return indexes
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase     ,						UpperCamelCase) ->	str:
										return self.SQUARE[indexa - 1, indexa - 1]
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		str     =				message.lower()
										UpperCamelCase__    :		int     =				message.replace('j'     ,						'i')

										UpperCamelCase__    :		List[Any]     =				''
										for letter_index in range(len(UpperCamelCase)):
													if message[letter_index] != " ":
																UpperCamelCase__    :		Union[str, Any]     =				self.letter_to_numbers(message[letter_index])
																UpperCamelCase__    :		int     =				encoded_message + str(numbers[0]) + str(numbers[1])
													elif message[letter_index] == " ":
																UpperCamelCase__    :		str     =				encoded_message + ' '

										return encoded_message






							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		Union[str, Any]     =				message.replace(' '     ,						'  ')
										UpperCamelCase__    :		int     =				''
										for numbers_index in range(int(len(UpperCamelCase) / 2)):
													if message[numbers_index * 2] != " ":
																UpperCamelCase__    :		List[str]     =				message[numbers_index * 2]
																UpperCamelCase__    :		Tuple     =				message[numbers_index * 2 + 1]

																UpperCamelCase__    :		Tuple     =				self.numbers_to_letter(int(UpperCamelCase)     ,						int(UpperCamelCase))
																UpperCamelCase__    :		List[str]     =				decoded_message + letter
													elif message[numbers_index * 2] == " ":
																UpperCamelCase__    :		str     =				decoded_message + ' '

										return decoded_message



