


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






def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		lowerCAmelCase__  :     List[str]       	=   search.split()
		lowerCAmelCase__  :     List[str]       	=   dict((g.split('''='''			) for g in groups)			)
		lowerCAmelCase__  :     str       	=   list(entries.keys()			)
		lowerCAmelCase__  :     Dict       	=   [[f'--{k} {v}' for v in vs.split(''':'''			)] for k, vs in entries.items()]
		lowerCAmelCase__  :     str       	=   [list(_a			) for x in itertools.product(*_a			)]
		return matrix, entry_names






def 	lowerCamelCase_       (			):




		"""simple docstring"""






		lowerCAmelCase__  :     Union[str, Any]       	=   sys.argv[0]

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

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

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

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

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

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

		lowerCAmelCase__  :     int       	=   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__  :     Union[str, Any]       	=   results_sorted[0]
		for score in task_score_names[task]:
				del best[score]
		lowerCAmelCase__  :     str       	=   [f'--{k} {v}' for k, v in best.items()]
		lowerCAmelCase__  :     Tuple       	=   ['''--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()








from __future__ import annotations

import sys






def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		if n < 0:
				raise ValueError('''Negative arguments are not supported'''			)
		return _fib(_a			)[0]






def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		if n == 0:  # (F(0), F(1))
				return (0, 1)

		# F(2n) = F(n)[2F(n+1) − F(n)]
		# F(2n+1) = F(n+1)^2+F(n)^2
		lowerCAmelCase__	,      lowerCAmelCase__  :     Dict       	=   _fib(n // 2			)
		lowerCAmelCase__  :     Dict       	=   a * (b * 2 - a)
		lowerCAmelCase__  :     Union[str, Any]       	=   a * a + b * b
		return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
		lowerCamelCase		=						int(sys.argv[1])
		print(f'''fibonacci({n}) is {fibonacci(n)}''')




