



import argparse
import os
import re


UpperCamelCase__ =						"src/transformers/models/auto"


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
UpperCamelCase__ =						re.compile(r"[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict")
# re pattern that matches identifiers in mappings
UpperCamelCase__ =						re.compile(r"\s*\(\s*\"(\S[^\"]+)\"")






def  UpperCAmelCase__    (    lowercase__						,       lowercase__ = False   ) ->      int:
						with open(lowercase__						,       """r"""						,       encoding="""utf-8"""   ) as f:
												__lowercase					=				f.read()

						__lowercase					=				content.split("""\n"""   )
						__lowercase					=				[]
						__lowercase					=				0
						while line_idx < len(lowercase__   ):
												if _re_intro_mapping.search(lines[line_idx]   ) is not None:
																		__lowercase					=				len(re.search(r"""^(\s*)\S"""						,       lines[line_idx]   ).groups()[0]   ) + 8
																		# Start of a new mapping!
																		while not lines[line_idx].startswith(""" """ * indent + """("""   ):
																								new_lines.append(lines[line_idx]   )
																								line_idx += 1

																		__lowercase					=				[]
																		while lines[line_idx].strip() != "]":
																								# Blocks either fit in one line or not
																								if lines[line_idx].strip() == "(":
																														__lowercase					=				line_idx
																														while not lines[line_idx].startswith(""" """ * indent + """)"""   ):
																																				line_idx += 1
																														blocks.append("""\n""".join(lines[start_idx : line_idx + 1]   )   )
																								else:
																														blocks.append(lines[line_idx]   )
																								line_idx += 1

																		# Sort blocks by their identifiers
																		__lowercase					=				sorted(lowercase__						,       key=lambda lowercase__   : _re_identifier.search(lowercase__   ).groups()[0]   )
																		new_lines += blocks
												else:
																		new_lines.append(lines[line_idx]   )
																		line_idx += 1

						if overwrite:
												with open(lowercase__						,       """w"""						,       encoding="""utf-8"""   ) as f:
																		f.write("""\n""".join(lowercase__   )   )
						elif "\n".join(lowercase__   ) != content:
												return True






def  UpperCAmelCase__    (    lowercase__ = False   ) ->      List[str]:
						__lowercase					=				[os.path.join(lowercase__						,       lowercase__   ) for f in os.listdir(lowercase__   ) if f.endswith(""".py"""   )]
						__lowercase					=				[sort_auto_mapping(lowercase__						,       overwrite=lowercase__   ) for fname in fnames]

						if not overwrite and any(lowercase__   ):
												__lowercase					=				[f for f, d in zip(lowercase__						,       lowercase__   ) if d]
												raise ValueError(
												    F"The following files have auto mappings that need sorting: {', '.join(lowercase__   )}. Run `make style` to fix"
												    """ this."""   )


if __name__ == "__main__":
			UpperCamelCase__ =						argparse.ArgumentParser()
			parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
			UpperCamelCase__ =						parser.parse_args()

			sort_all_auto_mappings(not args.check_only)










from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase__ =						logging.get_logger(__name__)

UpperCamelCase__ =						{
    "hustvl/yolos-small": "https://huggingface.co/hustvl/yolos-small/resolve/main/config.json",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  Union[str, Any]      =			"""yolos"""





			def __init__(				self	:       Optional[int]			,     lowercase	:       Any=768			,     lowercase	:       Tuple=12			,     lowercase	:       Tuple=12			,     lowercase	:       str=3_072			,     lowercase	:       Optional[Any]="gelu"			,     lowercase	:       Union[str, Any]=0.0			,     lowercase	:       Dict=0.0			,     lowercase	:       Optional[int]=0.02			,     lowercase	:       Optional[Any]=1E-1_2			,     lowercase	:       Tuple=[512, 864]			,     lowercase	:       Optional[int]=16			,     lowercase	:       Dict=3			,     lowercase	:       Optional[Any]=True			,     lowercase	:       Optional[int]=100			,     lowercase	:       Optional[int]=True			,     lowercase	:       Any=False			,     lowercase	:       Any=1			,     lowercase	:       Any=5			,     lowercase	:       List[str]=2			,     lowercase	:       Union[str, Any]=5			,     lowercase	:       str=2			,     lowercase	:       Tuple=0.1			,     **lowercase	:       str			,     )						->					Optional[Any]:
									"""simple docstring"""







									super().__init__(**lowercase   )

									__lowercase					=				hidden_size
									__lowercase					=				num_hidden_layers
									__lowercase					=				num_attention_heads
									__lowercase					=				intermediate_size
									__lowercase					=				hidden_act
									__lowercase					=				hidden_dropout_prob
									__lowercase					=				attention_probs_dropout_prob
									__lowercase					=				initializer_range
									__lowercase					=				layer_norm_eps
									__lowercase					=				image_size
									__lowercase					=				patch_size
									__lowercase					=				num_channels
									__lowercase					=				qkv_bias
									__lowercase					=				num_detection_tokens
									__lowercase					=				use_mid_position_embeddings
									__lowercase					=				auxiliary_loss
									# Hungarian matcher
									__lowercase					=				class_cost
									__lowercase					=				bbox_cost
									__lowercase					=				giou_cost
									# Loss coefficients
									__lowercase					=				bbox_loss_coefficient
									__lowercase					=				giou_loss_coefficient
									__lowercase					=				eos_coefficient





class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  Dict      =			version.parse("""1.11"""			)





			@property
			def 		snake_case__			(				self	:       List[str]   )						->					Mapping[str, Mapping[int, str]]:
									"""simple docstring"""







									return OrderedDict(
									    [
									        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
									    ]   )





			@property
			def 		snake_case__			(				self	:       int   )						->					float:
									"""simple docstring"""







									return 1E-4







			@property
			def 		snake_case__			(				self	:       Optional[Any]   )						->					int:
									"""simple docstring"""







									return 12





