code: 
  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()
  
  
style_context: 
  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()