
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       a			(   a  )    ->Union[str, Any]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   search.split()
			SCREAMING_SNAKE_CASE    	=   dict((g.split('''='''  ) for g in groups)  )
			SCREAMING_SNAKE_CASE    	=   list(entries.keys()  )
			SCREAMING_SNAKE_CASE    	=   [[F"""--{k} {v}""" for v in vs.split(''':'''  )] for k, vs in entries.items()]
			SCREAMING_SNAKE_CASE    	=   [list(a  ) for x in itertools.product(*a  )]
			return matrix, entry_names


def       a			(   )    ->Union[str, Any]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   sys.argv[0]

			SCREAMING_SNAKE_CASE    	=   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.'''
			    )		,	)
			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   parser.parse_known_args()
			# we share some of the args
			args_main.extend(['''--task''', args.task]  )
			SCREAMING_SNAKE_CASE    	=   [prog] + args_main

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

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

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

						SCREAMING_SNAKE_CASE    	=   run_generate(verbose=a  )
						# make sure scores are first in the table
						SCREAMING_SNAKE_CASE    	=   OrderedDict()
						for score in task_score_names[task]:
									SCREAMING_SNAKE_CASE    	=   scores[score]
						result.update(a  )
						results.append(a  )

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

			SCREAMING_SNAKE_CASE    	=   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]  )  )

			SCREAMING_SNAKE_CASE    	=   results_sorted[0]
			for score in task_score_names[task]:
						del best[score]
			SCREAMING_SNAKE_CASE    	=   [F"""--{k} {v}""" for k, v in best.items()]
			SCREAMING_SNAKE_CASE    	=   ['''--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

__lowerCAmelCase				      =					[2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]





class 						lowerCamelCase			:







	def __init__(    self			:List[str]      ,    lowercase			:int )		->			None:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE    	=   -1
				SCREAMING_SNAKE_CASE    	=   -1
				SCREAMING_SNAKE_CASE    	=   [-1] * length
				SCREAMING_SNAKE_CASE    	=   None
				SCREAMING_SNAKE_CASE    	=   None







	def __repr__(    self			:List[Any] )		->			str:







				"""simple docstring"""






				return f"""Node(min_value={self.minn} max_value={self.maxx})"""



def       a			(   a  )    ->Node | None:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   Node(len(a  )  )
			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   min(a  ), max(a  )
			# Leaf node case where the node contains only one unique value
			if root.minn == root.maxx:
						return root
			SCREAMING_SNAKE_CASE    	=   (root.minn + root.maxx) // 2

			SCREAMING_SNAKE_CASE    	=   []
			SCREAMING_SNAKE_CASE    	=   []

			for index, num in enumerate(a  ):
						if num <= pivot:
									left_arr.append(a  )
						else:
									right_arr.append(a  )
						SCREAMING_SNAKE_CASE    	=   len(a  )
			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
			return root


def       a			(   a		,	a		,	a  )    ->int:




			'''simple docstring'''


			if index < 0 or node is None:
						return 0
			# Leaf node cases
			if node.minn == node.maxx:
						return index + 1 if node.minn == num else 0
			SCREAMING_SNAKE_CASE    	=   (node.minn + node.maxx) // 2
			if num <= pivot:
						# go the left subtree and map index to the left subtree
						return rank_till_index(node.left		,	a		,	node.map_left[index] - 1  )
			else:
						# go to the right subtree and map index to the right subtree
						return rank_till_index(node.right		,	a		,	index - node.map_left[index]  )


def       a			(   a		,	a		,	a		,	a  )    ->int:




			'''simple docstring'''


			if start > end:
						return 0
			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	a  )
			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	start - 1  )
			return rank_till_end - rank_before_start


def       a			(   a		,	a		,	a		,	a  )    ->int:




			'''simple docstring'''


			if index > (end - start) or start > end or node is None:
						return -1
			# Leaf node case
			if node.minn == node.maxx:
						return node.minn
			# Number of elements in the left subtree in interval [start, end]
			SCREAMING_SNAKE_CASE    	=   node.map_left[end] - (
			    node.map_left[start - 1] if start else 0
			)
			if num_elements_in_left_tree > index:
						return quantile(
						    node.left		,	a		,	(node.map_left[start - 1] if start else 0)		,	node.map_left[end] - 1		,	)
			else:
						return quantile(
						    node.right		,	index - num_elements_in_left_tree		,	start - (node.map_left[start - 1] if start else 0)		,	end - node.map_left[end]		,	)


def       a			(   a		,	a		,	a		,	a		,	a  )    ->int:




			'''simple docstring'''


			if (
			    start > end
			    or node is None
			    or start_num > end_num
			    or node.minn > end_num
			    or node.maxx < start_num
			):
						return 0
			if start_num <= node.minn and node.maxx <= end_num:
						return end - start + 1
			SCREAMING_SNAKE_CASE    	=   range_counting(
			    node.left		,	(node.map_left[start - 1] if start else 0)		,	node.map_left[end] - 1		,	a		,	a		,	)
			SCREAMING_SNAKE_CASE    	=   range_counting(
			    node.right		,	start - (node.map_left[start - 1] if start else 0)		,	end - node.map_left[end]		,	a		,	a		,	)
			return left + right


if __name__ == "__main__":
							import doctest

							doctest.testmod()