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

def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			int:
							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(snake_case__							) for x in itertools.product(*snake_case__							)]
							return matrix, entry_names

def      SCREAMING_SNAKE_CASE_  (		)  ->			Optional[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=snake_case__     ,						required=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=snake_case__     ,						default=8     ,						required=snake_case__     ,						help='''initial batch size (may get reduced if it\'s too big)'''							)
							parser.add_argument('''--task'''     ,						type=snake_case__     ,						help='''used for task_specific_params + metrics'''							)
							parser.add_argument(
							    '''--info'''     ,						nargs='''?'''     ,						type=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.'''
							    )     ,						)
							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(snake_case__							)							) for col in col_names}
							lowerCAmelCase				=	[]
							for r in matrix:
														lowerCAmelCase				=	dict((x.replace('''--'''     ,						''''''							).split() for x in r)							)
														lowerCAmelCase				=	''' '''.join(snake_case__							).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=snake_case__							)
														# make sure scores are first in the table
														lowerCAmelCase				=	OrderedDict()
														for score in task_score_names[task]:
																					lowerCAmelCase				=	scores[score]
														result.update(snake_case__							)
														results.append(snake_case__							)

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

							lowerCAmelCase				=	sorted(snake_case__     ,						key=operator.itemgetter(*task_score_names[task]							)     ,						reverse=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]							)							)

							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()




import math

def      SCREAMING_SNAKE_CASE_  (		snake_case__							)  ->			float:
							lowerCAmelCase				=	math.log(2     ,						1_0							) * number
							lowerCAmelCase				=	round((log_number - int(snake_case__							))     ,						1_5							)

							return difference

def      SCREAMING_SNAKE_CASE_  (		snake_case__ = 6_7_8_9_1_0							)  ->			int:
							lowerCAmelCase				=	9_0
							lowerCAmelCase				=	0

							lowerCAmelCase				=	math.log(1.23     ,						1_0							)
							lowerCAmelCase				=	math.log(1.24     ,						1_0							)
							lowerCAmelCase				=	0

							while position < number:
														lowerCAmelCase				=	log_difference(snake_case__							)

														if difference >= upper_limit:
																					power_iterator += 9_3

														elif difference < lower_limit:
																					power_iterator += 1_9_6

														else:
																					lowerCAmelCase				=	power_iterator
																					power_iterator += 1_9_6
																					position += 1

							return previous_power


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	print(f'{solution() = }')



