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				:	Any				    =       {
      'translation': ['bleu'],
      'summarization': ROUGE_KEYS,
  }
  
  
  
  
  def    __a (     UpperCAmelCase    )      ->int:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      search.split()
  	A							  =      dict((g.split("""="""    ) for g in groups)    )
  	A							  =      list(entries.keys()    )
  	A							  =      [[f"""--{k} {v}""" for v in vs.split(""":"""    )] for k, vs in entries.items()]
  	A							  =      [list(UpperCAmelCase    ) for x in itertools.product(*UpperCAmelCase    )]
  	return matrix, entry_names
  
  
  
  
  def    __a (     )      ->Union[str, Any]:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      sys.argv[0]
  
  	A							  =      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							  =      parser.parse_known_args()
  	# we share some of the args
  	args_main.extend(["""--task""", args.task]    )
  	A							  =      [prog] + args_main
  
  	# to support variations like translation_en_to_de"
  	A							  =      """translation""" if """translation""" in args.task else """summarization"""
  
  	A  ,    A							  =      parse_search_arg(args.search    )
  	A							  =      task_score_names[task]  # score cols first
  	A							  =      {col: len(str(UpperCAmelCase    )    ) for col in col_names}
  	A							  =      []
  	for r in matrix:
  		A							  =      dict((x.replace("""--"""       ,			""""""    ).split() for x in r)    )
  		A							  =      """ """.join(UpperCAmelCase    ).split()
  		args_exp.extend(["""--bs""", str(args.bs    )]    )  # in case we need to reduce its size due to CUDA OOM
  		A							  =      args_normal + args_exp
  
  		# XXX: need to trap CUDA OOM and lower args.bs if that happens and retry
  
  		A							  =      run_generate(verbose=UpperCAmelCase    )
  		# make sure scores are first in the table
  		A							  =      OrderedDict()
  		for score in task_score_names[task]:
  			A							  =      scores[score]
  		result.update(UpperCAmelCase    )
  		results.append(UpperCAmelCase    )
  
  		# find widest entries
  		for k, v in result.items():
  			A							  =      len(str(UpperCAmelCase    )    )
  			if l > col_widths[k]:
  				A							  =      l
  
  	A							  =      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							  =      results_sorted[0]
  	for score in task_score_names[task]:
  		del best[score]
  	A							  =      [f"""--{k} {v}""" for k, v in best.items()]
  	A							  =      ["""--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: 
  
  
  
  
  
  '''simple docstring'''
  
  
  import hashlib
  import importlib.util
  import json
  import os
  import pathlib
  from types import ModuleType
  
  import pytest
  import requests
  
  _lowerCamelCase				:	Optional[Any]				    =       pathlib.Path.cwd().joinpath('project_euler')
  _lowerCamelCase				:	Optional[int]				    =       pathlib.Path.cwd().joinpath(
      'scripts', 'project_euler_answers.json'
  )
  
  with open(PROJECT_EULER_ANSWERS_PATH) as file_handle:
  				_lowerCamelCase				:	dict[str, str]				    =       json.load(file_handle)
  
  
  
  
  def    __a (     UpperCAmelCase    )      ->ModuleType:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      importlib.util.spec_from_file_location(file_path.name       ,			str(UpperCAmelCase    )    )
  	A							  =      importlib.util.module_from_spec(UpperCAmelCase    )  # type: ignore
  	spec.loader.exec_module(UpperCAmelCase    )  # type: ignore
  	return module
  
  
  
  
  def    __a (     )      ->list[pathlib.Path]:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      []
  	for problem_dir_path in PROJECT_EULER_DIR_PATH.iterdir():
  		if problem_dir_path.is_file() or problem_dir_path.name.startswith("""_"""    ):
  			continue
  		for file_path in problem_dir_path.iterdir():
  			if file_path.suffix != ".py" or file_path.name.startswith(("""_""", """test""")    ):
  				continue
  			solution_file_paths.append(UpperCAmelCase    )
  	return solution_file_paths
  
  
  
  
  def    __a (     )      ->str:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	with open(os.environ["""GITHUB_EVENT_PATH"""]    ) as file:
  		A							  =      json.load(UpperCAmelCase    )
  	return event["pull_request"]["url"] + "/files"
  
  
  
  
  def    __a (     )      ->list[pathlib.Path]:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      []
  	A							  =      {
  	    """Accept""": """application/vnd.github.v3+json""",
  	    """Authorization""": """token """ + os.environ["""GITHUB_TOKEN"""],
  	}
  	A							  =      requests.get(get_files_url()       ,			headers=UpperCAmelCase    ).json()
  	for file in files:
  		A							  =      pathlib.Path.cwd().joinpath(file["""filename"""]    )
  		if (
  		    filepath.suffix != ".py"
  		    or filepath.name.startswith(("""_""", """test""")    )
  		    or not filepath.name.startswith("""sol"""    )
  		):
  			continue
  		solution_file_paths.append(UpperCAmelCase    )
  	return solution_file_paths
  
  
  
  
  def    __a (     )      ->list[pathlib.Path]:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	if os.environ.get("""CI"""    ) and os.environ.get("""GITHUB_EVENT_NAME"""    ) == "pull_request":
  		# Return only if there are any, otherwise default to all solutions
  		if filepaths := added_solution_file_path():
  			return filepaths
  	return all_solution_file_paths()
  
  
  
  
  @pytest.mark.parametrize(
      """solution_path"""       ,			collect_solution_file_paths()       ,			ids=lambda UpperCAmelCase    : f"""{path.parent.name}/{path.name}"""       ,			)
  def    __a (     UpperCAmelCase    )      ->None:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      solution_path.parent.name[8:].zfill(3    )
  	A							  =      PROBLEM_ANSWERS[problem_number]
  	A							  =      convert_path_to_module(UpperCAmelCase    )
  	A							  =      str(solution_module.solution()    )  # type: ignore
  	A							  =      hashlib.shaaaa(answer.encode()    ).hexdigest()
  	assert (
  	    answer == expected
  	), f"""Expected solution to {problem_number} to have hash {expected}, got {answer}"""
  
  