



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
snake_case     :    str						=    {
    'translation': ['bleu'],
    'summarization': ROUGE_KEYS,
}
def 						snake_case__							(       __lowercase							)		->		Union[str, Any]:







						"""simple docstring"""

						A__						:				Dict         =			search.split()
						A__						:				Optional[int]         =			dict((g.split("="							) for g in groups)							)
						A__						:				int         =			list(entries.keys()							)
						A__						:				List[str]         =			[[F'--{k} {v}' for v in vs.split(":"							)] for k, vs in entries.items()]
						A__						:				Optional[int]         =			[list(__lowercase							) for x in itertools.product(*__lowercase							)]
						return matrix, entry_names
def 						snake_case__							(       )		->		Any:







						"""simple docstring"""

						A__						:				Tuple         =			sys.argv[0]

						A__						:				Optional[Any]         =			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."
						    )				,  )
						A__     ,							A__						:				Union[str, Any]         =			parser.parse_known_args()
						# we share some of the args
						args_main.extend(["--task", args.task]							)
						A__						:				Optional[Any]         =			[prog] + args_main

						# to support variations like translation_en_to_de"
						A__						:				Any         =			"translation" if "translation" in args.task else "summarization"

						A__     ,							A__						:				Optional[Any]         =			parse_search_arg(args.search							)
						A__						:				List[Any]         =			task_score_names[task]  # score cols first
						A__						:				List[Any]         =			{col: len(str(__lowercase							)							) for col in col_names}
						A__						:				str         =			[]
						for r in matrix:
												A__						:				Dict         =			dict((x.replace("--"				,  ""							).split() for x in r)							)
												A__						:				str         =			" ".join(__lowercase							).split()
												args_exp.extend(["--bs", str(args.bs							)]							)  # in case we need to reduce its size due to CUDA OOM
												A__						:				Optional[Any]         =			args_normal + args_exp

												# XXX: need to trap CUDA OOM and lower args.bs if that happens and retry

												A__						:				str         =			run_generate(verbose=__lowercase							)
												# make sure scores are first in the table
												A__						:				Tuple         =			OrderedDict()
												for score in task_score_names[task]:
																		A__						:				str         =			scores[score]
												result.update(__lowercase							)
												results.append(__lowercase							)

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

						A__						:				List[str]         =			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]							)							)

						A__						:				Optional[int]         =			results_sorted[0]
						for score in task_score_names[task]:
												del best[score]
						A__						:				Optional[int]         =			[F'--{k} {v}' for k, v in best.items()]
						A__						:				List[Any]         =			["--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()




class 				lowerCAmelCase__	:







					def __init__(							self   :  Union[str, Any]):
											A__						:				Optional[int]         =			[0]
											A__						:				Any         =			0







					def 			_lowercase      (							self   :  Optional[int]      ,		_A   :  int):
											A__						:				Optional[Any]         =			self.__heap[i]
											while i // 2 > 0:
																	if self.__heap[i] > self.__heap[i // 2]:
																							A__						:				Union[str, Any]         =			self.__heap[i // 2]
																							A__						:				List[str]         =			temporary
																	i //= 2







					def 			_lowercase      (							self   :  Union[str, Any]      ,		_A   :  int):
											self.__heap.append(_A)
											self.__size += 1
											self.__swap_up(self.__size)







					def 			_lowercase      (							self   :  Any      ,		_A   :  int):
											while self.__size >= 2 * i:
																	if 2 * i + 1 > self.__size:
																							A__						:				str         =			2 * i
																	else:
																							if self.__heap[2 * i] > self.__heap[2 * i + 1]:
																													A__						:				Tuple         =			2 * i
																							else:
																													A__						:				Tuple         =			2 * i + 1
																	A__						:				Any         =			self.__heap[i]
																	if self.__heap[i] < self.__heap[bigger_child]:
																							A__						:				List[str]         =			self.__heap[bigger_child]
																							A__						:				Tuple         =			temporary
																	A__						:				Tuple         =			bigger_child







					def 			_lowercase      (							self   :  int):
											A__						:				str         =			self.__heap[1]
											A__						:				Tuple         =			self.__heap[self.__size]
											self.__size -= 1
											self.__heap.pop()
											self.__swap_down(1)
											return max_value







					@property
					def 			_lowercase      (							self   :  Any):
											return self.__heap[1:]







					def __len__(							self   :  Union[str, Any]):
											return self.__size


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		# create an instance of BinaryHeap
		snake_case     :    List[Any]						=    BinaryHeap()
		binary_heap.insert(6)
		binary_heap.insert(1_0)
		binary_heap.insert(1_5)
		binary_heap.insert(1_2)
		# pop root(max-values because it is max heap)
		print(binary_heap.pop())  # 15
		print(binary_heap.pop())  # 12
		# get the list and size after operations
		print(binary_heap.get_list)
		print(len(binary_heap))