




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 	__A	(			__lowerCamelCase					)   -> Union[str, Any]:
	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	(			)   -> int:
	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       ,				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       ,				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      : Union[str, Any]					      =   {
    "A": ("ABCDEFGHIJKLM", "NOPQRSTUVWXYZ"),
    "B": ("ABCDEFGHIJKLM", "NOPQRSTUVWXYZ"),
    "C": ("ABCDEFGHIJKLM", "ZNOPQRSTUVWXY"),
    "D": ("ABCDEFGHIJKLM", "ZNOPQRSTUVWXY"),
    "E": ("ABCDEFGHIJKLM", "YZNOPQRSTUVWX"),
    "F": ("ABCDEFGHIJKLM", "YZNOPQRSTUVWX"),
    "G": ("ABCDEFGHIJKLM", "XYZNOPQRSTUVW"),
    "H": ("ABCDEFGHIJKLM", "XYZNOPQRSTUVW"),
    "I": ("ABCDEFGHIJKLM", "WXYZNOPQRSTUV"),
    "J": ("ABCDEFGHIJKLM", "WXYZNOPQRSTUV"),
    "K": ("ABCDEFGHIJKLM", "VWXYZNOPQRSTU"),
    "L": ("ABCDEFGHIJKLM", "VWXYZNOPQRSTU"),
    "M": ("ABCDEFGHIJKLM", "UVWXYZNOPQRST"),
    "N": ("ABCDEFGHIJKLM", "UVWXYZNOPQRST"),
    "O": ("ABCDEFGHIJKLM", "TUVWXYZNOPQRS"),
    "P": ("ABCDEFGHIJKLM", "TUVWXYZNOPQRS"),
    "Q": ("ABCDEFGHIJKLM", "STUVWXYZNOPQR"),
    "R": ("ABCDEFGHIJKLM", "STUVWXYZNOPQR"),
    "S": ("ABCDEFGHIJKLM", "RSTUVWXYZNOPQ"),
    "T": ("ABCDEFGHIJKLM", "RSTUVWXYZNOPQ"),
    "U": ("ABCDEFGHIJKLM", "QRSTUVWXYZNOP"),
    "V": ("ABCDEFGHIJKLM", "QRSTUVWXYZNOP"),
    "W": ("ABCDEFGHIJKLM", "PQRSTUVWXYZNO"),
    "X": ("ABCDEFGHIJKLM", "PQRSTUVWXYZNO"),
    "Y": ("ABCDEFGHIJKLM", "OPQRSTUVWXYZN"),
    "Z": ("ABCDEFGHIJKLM", "OPQRSTUVWXYZN"),
}





def 	__A	(			__lowerCamelCase					)   -> list[tuple[str, str]]:
	return [alphabet[char] for char in key.upper()]





def 	__A	(			__lowerCamelCase							,    __lowerCamelCase					)   -> str:
	a		       =							""""""
	a		       =							0
	a		       =							generate_table(__lowerCamelCase					)
	for char in words.upper():
		cipher += get_opponent(table[count]							,    __lowerCamelCase					)
		a		       =							(count + 1) % len(__lowerCamelCase					)
	return cipher





def 	__A	(			__lowerCamelCase							,    __lowerCamelCase					)   -> str:
	return encrypt(__lowerCamelCase							,    __lowerCamelCase					)





def 	__A	(			__lowerCamelCase							,    __lowerCamelCase					)   -> tuple[int, int]:
	a		       =							0 if char in table[0] else 1
	a		       =							table[row].index(__lowerCamelCase					)
	return row, col





def 	__A	(			__lowerCamelCase							,    __lowerCamelCase					)   -> str:
	a       ,				a		       =							get_position(__lowerCamelCase							,    char.upper()					)
	if row == 1:
		return table[0][col]
	else:
		return table[1][col] if row == 0 else char


if __name__ == "__main__":
		import doctest

		doctest.testmod()  # Fist ensure that all our tests are passing...
		__UpperCamelCase      : int					      =   input("Enter key: ").strip()
		__UpperCamelCase      : int					      =   input("Enter text to encrypt: ").strip()
		__UpperCamelCase      : Optional[Any]					      =   encrypt(key, text)

		print(F'Encrypted: {cipher_text}')
		print(F'Decrypted with key: {decrypt(key, cipher_text)}')

