
'''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   lowerCAmelCase(  a__    :  Dict      ):







       '''simple docstring'''






       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(__lowercase      ) for x in itertools.product(*__lowercase      )]
       return matrix, entry_names







def   lowerCAmelCase(  ):







       '''simple docstring'''






       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=__lowercase      , required=__lowercase      , help="param space to search, e.g. \"num_beams=5:10 length_penalty=0.8:1.0:1.2\""      , )
       parser.add_argument(
           "--bs"      , type=__lowercase      , default=8      , required=__lowercase      , help="initial batch size (may get reduced if it's too big)"      )
       parser.add_argument("--task"      , type=__lowercase      , help="used for task_specific_params + metrics"      )
       parser.add_argument(
           "--info"      , nargs="?"      , type=__lowercase      , 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__				   =      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__				   =      parse_search_arg(args.search      )
       lowerCamelCase__				   =      task_score_names[task]  # score cols first
       lowerCamelCase__				   =      {col: len(str(__lowercase      )      ) for col in col_names}
       lowerCamelCase__				   =      []
       for r in matrix:
              lowerCamelCase__				   =      dict((x.replace("--"      , ""      ).split() for x in r)      )
              lowerCamelCase__				   =      " ".join(__lowercase      ).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=__lowercase      )
              # make sure scores are first in the table
              lowerCamelCase__				   =      OrderedDict()
              for score in task_score_names[task]:
                     lowerCamelCase__				   =      scores[score]
              result.update(__lowercase      )
              results.append(__lowercase      )

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

       lowerCamelCase__				   =      sorted(__lowercase      , key=operator.itemgetter(*task_score_names[task]      )      , reverse=__lowercase      )
       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()






from __future__ import annotations
def 						snake_case__							(       __lowercase				,  __lowercase				,  __lowercase				,  )		->		list[float | int]:







						"""simple docstring"""

						if not all((nth_term, start_term_a, common_ratio_r)							):
												return []
						A__						:				list[float | int]         =			[]
						A__						:				Optional[Any]         =			1
						A__						:				List[Any]         =			common_ratio_r
						for _ in range(int(__lowercase							)							):
												if not series:
																		series.append(__lowercase							)
												else:
																		power += 1
																		series.append(float(start_term_a * multiple							)							)
																		A__						:				Optional[Any]         =			pow(float(__lowercase							)				,  __lowercase							)
						return series


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		snake_case     :    Optional[int]						=    float(input('Enter the last number (n term) of the Geometric Series'))
		snake_case     :    str						=    float(input('Enter the starting term (a) of the Geometric Series'))
		snake_case     :    int						=    float(
		    input('Enter the common ratio between two terms (r) of the Geometric Series')
		)
		print('Formula of Geometric Series => a + ar + ar^2 ... +ar^n')
		print(geometric_series(nth_term, start_term_a, common_ratio_r))