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






def 		_snake_case			(      lowercase__						:    int						)    ->							Union[str, Any]:


			'''simple docstring'''





			lowerCAmelCase_       :Optional[Any]     	=    search.split()
			lowerCAmelCase_       :int     	=    dict((g.split("""="""						) for g in groups)						)
			lowerCAmelCase_       :str     	=    list(entries.keys()						)
			lowerCAmelCase_       :List[str]     	=    [[f"""--{k} {v}""" for v in vs.split(""":"""						)] for k, vs in entries.items()]
			lowerCAmelCase_       :str     	=    [list(lowercase__						) for x in itertools.product(*lowercase__						)]
			return matrix, entry_names






def 		_snake_case			(      )    ->							Any:


			'''simple docstring'''





			lowerCAmelCase_       :Any     	=    sys.argv[0]

			lowerCAmelCase_       :Tuple     	=    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_	,			lowerCAmelCase_       :Any     	=    parser.parse_known_args()
			# we share some of the args
			args_main.extend(["""--task""", args.task]						)
			lowerCAmelCase_       :List[str]     	=    [prog] + args_main

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

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

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

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

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

			lowerCAmelCase_       :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]						)						)

			lowerCAmelCase_       :List[Any]     	=    results_sorted[0]
			for score in task_score_names[task]:
						del best[score]
			lowerCAmelCase_       :Dict     	=    [f"""--{k} {v}""" for k, v in best.items()]
			lowerCAmelCase_       :Union[str, 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()








"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import is_detectrona_available, logging


__UpperCAmelCase 					=    logging.get_logger(__name__)

__UpperCAmelCase 					=    {
    'layoutlmv2-base-uncased': 'https://huggingface.co/microsoft/layoutlmv2-base-uncased/resolve/main/config.json',
    'layoutlmv2-large-uncased': 'https://huggingface.co/microsoft/layoutlmv2-large-uncased/resolve/main/config.json',
    # See all LayoutLMv2 models at https://huggingface.co/models?filter=layoutlmv2
}

# soft dependency
if is_detectrona_available():
				import detectrona




class      _SCREAMING_SNAKE_CASE   (     A__				):
			UpperCAmelCase_    :Optional[int]												=		"layoutlmv2"






			def __init__(   self			,  __A=3_0522			,  __A=768			,  __A=12			,  __A=12			,  __A=3072			,  __A="gelu"			,  __A=0.1			,  __A=0.1			,  __A=512			,  __A=2			,  __A=0.0_2			,  __A=1E-12			,  __A=0			,  __A=1024			,  __A=128			,  __A=32			,  __A=True			,  __A=256			,  __A=64			,  __A=True			,  __A=[7, 7, 256]			,  __A=128			,  __A=128			,  __A=True			,  __A=True			,  __A=False			,  __A=None			,  **__A			,  )     ->	List[str]:
						super().__init__(
						    vocab_size=__A			,  hidden_size=__A			,  num_hidden_layers=__A			,  num_attention_heads=__A			,  intermediate_size=__A			,  hidden_act=__A			,  hidden_dropout_prob=__A			,  attention_probs_dropout_prob=__A			,  max_position_embeddings=__A			,  type_vocab_size=__A			,  initializer_range=__A			,  layer_norm_eps=__A			,  pad_token_id=__A			,  **__A			,  )
						lowerCAmelCase_       :Optional[Any]     	=    max_ad_position_embeddings
						lowerCAmelCase_       :Dict     	=    max_rel_pos
						lowerCAmelCase_       :str     	=    rel_pos_bins
						lowerCAmelCase_       :List[str]     	=    fast_qkv
						lowerCAmelCase_       :Union[str, Any]     	=    max_rel_ad_pos
						lowerCAmelCase_       :List[str]     	=    rel_ad_pos_bins
						lowerCAmelCase_       :Any     	=    convert_sync_batchnorm
						lowerCAmelCase_       :Dict     	=    image_feature_pool_shape
						lowerCAmelCase_       :str     	=    coordinate_size
						lowerCAmelCase_       :Tuple     	=    shape_size
						lowerCAmelCase_       :Tuple     	=    has_relative_attention_bias
						lowerCAmelCase_       :Union[str, Any]     	=    has_spatial_attention_bias
						lowerCAmelCase_       :int     	=    has_visual_segment_embedding
						lowerCAmelCase_       :Any     	=    (
						    detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
						)






			@classmethod
			def 					__lowerCAmelCase					(   self			)     ->	Optional[Any]:
						return {
						    "MODEL.MASK_ON": True,
						    "MODEL.PIXEL_STD": [5_7.3_7_5, 5_7.1_2_0, 5_8.3_9_5],
						    "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
						    "MODEL.FPN.IN_FEATURES": ["res2", "res3", "res4", "res5"],
						    "MODEL.ANCHOR_GENERATOR.SIZES": [[32], [64], [128], [256], [512]],
						    "MODEL.RPN.IN_FEATURES": ["p2", "p3", "p4", "p5", "p6"],
						    "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2000,
						    "MODEL.RPN.PRE_NMS_TOPK_TEST": 1000,
						    "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1000,
						    "MODEL.POST_NMS_TOPK_TEST": 1000,
						    "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
						    "MODEL.ROI_HEADS.NUM_CLASSES": 5,
						    "MODEL.ROI_HEADS.IN_FEATURES": ["p2", "p3", "p4", "p5"],
						    "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
						    "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
						    "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
						    "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
						    "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
						    "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
						    "MODEL.RESNETS.DEPTH": 101,
						    "MODEL.RESNETS.SIZES": [[32], [64], [128], [256], [512]],
						    "MODEL.RESNETS.ASPECT_RATIOS": [[0.5, 1.0, 2.0]],
						    "MODEL.RESNETS.OUT_FEATURES": ["res2", "res3", "res4", "res5"],
						    "MODEL.RESNETS.NUM_GROUPS": 32,
						    "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
						    "MODEL.RESNETS.STRIDE_IN_1X1": False,
						}






			def 					__lowerCAmelCase					(   self			)     ->	List[Any]:
						lowerCAmelCase_       :Any     	=    detectrona.config.get_cfg()
						for k, v in self.detectrona_config_args.items():
									lowerCAmelCase_       :int     	=    k.split("""."""			)
									lowerCAmelCase_       :List[Any]     	=    detectrona_config
									for attribute in attributes[:-1]:
												lowerCAmelCase_       :List[Any]     	=    getattr(__A			,  __A			)
									setattr(__A			,  attributes[-1]			,  __A			)

						return detectrona_config






