

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

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

def 							__SCREAMING_SNAKE_CASE							( )      ->				Union[str, Any]:
				_UpperCAmelCase				:						Dict       						=			sys.argv[0]

				_UpperCAmelCase				:						str       						=			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=lowerCAmelCase     ,					required=lowerCAmelCase     ,					help="param space to search, e.g. \"num_beams=5:10 length_penalty=0.8:1.0:1.2\""     ,					)
				parser.add_argument(
				    "--bs"     ,					type=lowerCAmelCase     ,					default=8     ,					required=lowerCAmelCase     ,					help="initial batch size (may get reduced if it's too big)"       )
				parser.add_argument("--task"     ,					type=lowerCAmelCase     ,					help="used for task_specific_params + metrics"       )
				parser.add_argument(
				    "--info"     ,					nargs="?"     ,					type=lowerCAmelCase     ,					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."
				    )     ,					)
				_UpperCAmelCase						,							_UpperCAmelCase				:						Optional[Any]       						=			parser.parse_known_args()
				# we share some of the args
				args_main.extend(["--task", args.task]       )
				_UpperCAmelCase				:						str       						=			[prog] + args_main

				# to support variations like translation_en_to_de"
				_UpperCAmelCase				:						Optional[int]       						=			"translation" if "translation" in args.task else "summarization"

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

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

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

								# find widest entries
								for k, v in result.items():
												_UpperCAmelCase				:						int       						=			len(str(lowerCAmelCase       )       )
												if l > col_widths[k]:
																_UpperCAmelCase				:						Optional[Any]       						=			l

				_UpperCAmelCase				:						Any       						=			sorted(lowerCAmelCase     ,					key=operator.itemgetter(*task_score_names[task]       )     ,					reverse=lowerCAmelCase       )
				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]       )       )

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








'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCamelCase							:						Optional[Any]								=  {'configuration_bit': ['BIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BitConfig', 'BitOnnxConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						Dict								=  [
						    'BIT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'BitForImageClassification',
						    'BitModel',
						    'BitPreTrainedModel',
						    'BitBackbone',
						]


try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						Union[str, Any]								=  ['BitImageProcessor']


if TYPE_CHECKING:
						from .configuration_bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig, BitOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_bit import (
												    BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    BitBackbone,
												    BitForImageClassification,
												    BitModel,
												    BitPreTrainedModel,
												)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_bit import BitImageProcessor

else:
						import sys

						_lowerCamelCase							:						Optional[Any]								=  _LazyModule(__name__, globals()['__file__'], _import_structure)





