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    :      Tuple	 =						{
    '''translation''': ['''bleu'''],
    '''summarization''': ROUGE_KEYS,
}





def 		__lowerCamelCase							(UpperCAmelCase__   :							str     ):
					SCREAMING_SNAKE_CASE				=				search.split()
					SCREAMING_SNAKE_CASE				=				dict((g.split("="     ) for g in groups)     )
					SCREAMING_SNAKE_CASE				=				list(entries.keys()     )
					SCREAMING_SNAKE_CASE				=				[[F"--{k} {v}" for v in vs.split(":"     )] for k, vs in entries.items()]
					SCREAMING_SNAKE_CASE				=				[list(UpperCAmelCase__     ) for x in itertools.product(*UpperCAmelCase__     )]
					return matrix, entry_names





def 		__lowerCamelCase							():
					SCREAMING_SNAKE_CASE				=				sys.argv[0]

					SCREAMING_SNAKE_CASE				=				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."
					    )					,       )
					SCREAMING_SNAKE_CASE	,      SCREAMING_SNAKE_CASE				=				parser.parse_known_args()
					# we share some of the args
					args_main.extend(["--task", args.task]     )
					SCREAMING_SNAKE_CASE				=				[prog] + args_main

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

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

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

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

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

					SCREAMING_SNAKE_CASE				=				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]     )     )

					SCREAMING_SNAKE_CASE				=				results_sorted[0]
					for score in task_score_names[task]:
										del best[score]
					SCREAMING_SNAKE_CASE				=				[F"--{k} {v}" for k, v in best.items()]
					SCREAMING_SNAKE_CASE				=				["--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

from enum import Enum


class   lowercase			(   a   ):
							lowercase__  :				List[str]									=							24
							lowercase__  :				int									=							21
							lowercase__  :				Union[str, Any]									=							18
							lowercase__  :				Dict									=							15
							lowercase__  :				Any									=							12
							lowercase__  :				List[Any]									=							9
							lowercase__  :				Optional[int]									=							6
							lowercase__  :				List[Any]									=							3
							lowercase__  :				int									=							2
							lowercase__  :				Optional[int]									=							1
							lowercase__  :				Dict									=							-1
							lowercase__  :				Any									=							-2
							lowercase__  :				Tuple									=							-3
							lowercase__  :				Optional[Any]									=							-6
							lowercase__  :				Tuple									=							-9
							lowercase__  :				List[Any]									=							-12
							lowercase__  :				Any									=							-15
							lowercase__  :				List[Any]									=							-18
							lowercase__  :				int									=							-21
							lowercase__  :				Optional[Any]									=							-24



class   lowercase			(   a   ):
							lowercase__  :				Union[str, Any]									=							8
							lowercase__  :				List[Any]									=							7
							lowercase__  :				List[str]									=							6
							lowercase__  :				Dict									=							5
							lowercase__  :				List[Any]									=							4
							lowercase__  :				Union[str, Any]									=							3
							lowercase__  :				Union[str, Any]									=							2
							lowercase__  :				Optional[Any]									=							1





def 		__lowerCamelCase							(UpperCAmelCase__   :							float					,       UpperCAmelCase__   :							str | SIUnit					,       UpperCAmelCase__   :							str | SIUnit					,       ):
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				SIUnit[known_prefix.lower()]
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				SIUnit[unknown_prefix.lower()]
					SCREAMING_SNAKE_CASE				=				known_amount * (
					    1_0 ** (known_prefix.value - unknown_prefix.value)
					)
					return unknown_amount





def 		__lowerCamelCase							(UpperCAmelCase__   :							float					,       UpperCAmelCase__   :							str | BinaryUnit					,       UpperCAmelCase__   :							str | BinaryUnit					,       ):
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				BinaryUnit[known_prefix.lower()]
					if isinstance(UpperCAmelCase__					,       UpperCAmelCase__     ):
										SCREAMING_SNAKE_CASE				=				BinaryUnit[unknown_prefix.lower()]
					SCREAMING_SNAKE_CASE				=				known_amount * (
					    2 ** ((known_prefix.value - unknown_prefix.value) * 1_0)
					)
					return unknown_amount


if __name__ == "__main__":
							import doctest

							doctest.testmod()




