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
  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()
  
  
  
  
style_context: 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() = }')
  
  
  
  