code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  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 							_UpperCAmelCase       (UpperCamelCase__  :						Dict		):
         _A   : Optional[int]       					=				search.split()
         _A   : Any       					=				dict((g.split("="		) for g in groups)		)
         _A   : Optional[Any]       					=				list(entries.keys()		)
         _A   : Optional[Any]       					=				[[f"--{k} {v}" for v in vs.split(":"		)] for k, vs in entries.items()]
         _A   : int       					=				[list(UpperCamelCase__		) for x in itertools.product(*UpperCamelCase__		)]
         return matrix, entry_names
  def 							_UpperCAmelCase       ():
         _A   : List[Any]       					=				sys.argv[0]
  
         _A   : Dict       					=				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=UpperCamelCase__       ,							required=UpperCamelCase__       ,							help="param space to search, e.g. \"num_beams=5:10 length_penalty=0.8:1.0:1.2\""       ,							)
         parser.add_argument(
             "--bs"       ,							type=UpperCamelCase__       ,							default=8       ,							required=UpperCamelCase__       ,							help="initial batch size (may get reduced if it's too big)"		)
         parser.add_argument("--task"       ,							type=UpperCamelCase__       ,							help="used for task_specific_params + metrics"		)
         parser.add_argument(
             "--info"       ,							nargs="?"       ,							type=UpperCamelCase__       ,							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."
             )       ,							)
         _A					,    _A   : Union[str, Any]       					=				parser.parse_known_args()
         # we share some of the args
         args_main.extend(["--task", args.task]		)
         _A   : List[str]       					=				[prog] + args_main
  
         # to support variations like translation_en_to_de"
         _A   : Any       					=				"translation" if "translation" in args.task else "summarization"
  
         _A					,    _A   : Dict       					=				parse_search_arg(args.search		)
         _A   : List[Any]       					=				task_score_names[task]  # score cols first
         _A   : Any       					=				{col: len(str(UpperCamelCase__		)		) for col in col_names}
         _A   : int       					=				[]
         for r in matrix:
                _A   : Tuple       					=				dict((x.replace("--"       ,							""		).split() for x in r)		)
                _A   : Union[str, Any]       					=				" ".join(UpperCamelCase__		).split()
                args_exp.extend(["--bs", str(args.bs		)]		)  # in case we need to reduce its size due to CUDA OOM
                _A   : Dict       					=				args_normal + args_exp
  
                # XXX: need to trap CUDA OOM and lower args.bs if that happens and retry
  
                _A   : str       					=				run_generate(verbose=UpperCamelCase__		)
                # make sure scores are first in the table
                _A   : Dict       					=				OrderedDict()
                for score in task_score_names[task]:
                       _A   : Optional[int]       					=				scores[score]
                result.update(UpperCamelCase__		)
                results.append(UpperCamelCase__		)
  
                # find widest entries
                for k, v in result.items():
                       _A   : Tuple       					=				len(str(UpperCamelCase__		)		)
                       if l > col_widths[k]:
                              _A   : Optional[Any]       					=				l
  
         _A   : List[str]       					=				sorted(UpperCamelCase__       ,							key=operator.itemgetter(*task_score_names[task]		)       ,							reverse=UpperCamelCase__		)
         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]		)		)
  
         _A   : Tuple       					=				results_sorted[0]
         for score in task_score_names[task]:
                del best[score]
         _A   : str       					=				[f"--{k} {v}" for k, v in best.items()]
         _A   : Optional[int]       					=				["--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: 
  
  
  lowerCAmelCase__   	=				'\n# Transformers installation\n! pip install transformers datasets evaluate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'
  
  lowerCAmelCase__   	=				[{'type': 'code', 'content': INSTALL_CONTENT}]
  lowerCAmelCase__   	=				{
      '{processor_class}': 'FakeProcessorClass',
      '{model_class}': 'FakeModelClass',
      '{object_class}': 'FakeObjectClass',
  }
  