



import json
import sys



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	with open(_SCREAMING_SNAKE_CASE  ,	encoding="utf-8"   ) as f:
		__lowercase		       =			json.load(_SCREAMING_SNAKE_CASE   )

	__lowercase		       =			["<details>", "<summary>Show updated benchmarks!</summary>", " "]

	for benchmark_name in sorted(_SCREAMING_SNAKE_CASE   ):
		__lowercase		       =			results[benchmark_name]

		__lowercase		       =			benchmark_name.split("/"   )[-1]
		output_md.append(F"""### Benchmark: {benchmark_file_name}"""   )

		__lowercase		       =			"| metric |"
		__lowercase		       =			"|--------|"
		__lowercase		       =			"| new / old (diff) |"
		for metric_name in sorted(_SCREAMING_SNAKE_CASE   ):
			__lowercase		       =			benchmark_res[metric_name]
			__lowercase		       =			metric_vals["new"]
			__lowercase		       =			metric_vals.get("old"  ,	_SCREAMING_SNAKE_CASE   )
			__lowercase		       =			metric_vals.get("diff"  ,	_SCREAMING_SNAKE_CASE   )

			__lowercase		       =			F""" {new_val:f}""" if isinstance(_SCREAMING_SNAKE_CASE  ,	(int, float)   ) else "None"

			if old_val is not None:
				val_str += F""" / {old_val:f}""" if isinstance(_SCREAMING_SNAKE_CASE  ,	(int, float)   ) else "None"
			if dif_val is not None:
				val_str += F""" ({dif_val:f})""" if isinstance(_SCREAMING_SNAKE_CASE  ,	(int, float)   ) else "None"

			title += " " + metric_name + " |"
			lines += "---|"
			value += val_str + " |"

		output_md += [title, lines, value, " "]

	output_md.append("</details>"   )

	with open(_SCREAMING_SNAKE_CASE  ,	"w"  ,	encoding="utf-8"   ) as f:
		f.writelines("\n".join(_SCREAMING_SNAKE_CASE   )   )


if __name__ == "__main__":
	snake_case__					:     List[str]    		=   sys.argv[1]
	snake_case__					:     Optional[Any]    		=   sys.argv[2]

	format_json_to_md(input_json_file, output_md_file)








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


snake_case__					:     List[Any]    		=   logging.get_logger(__name__)

snake_case__					:     List[str]    		=   {
    """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   _A   ( _lowercase	):


						'''simple docstring'''





						_snake_case			:     List[Any]      							=      """yolos"""



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






							'''simple docstring'''



							super().__init__(**lowerCamelCase	)

							__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   _A   ( _lowercase	):


						'''simple docstring'''





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



						@property
						def     _snake_case	(	self	:							Union[str, Any]	):






							'''simple docstring'''



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



						@property
						def     _snake_case	(	self	:							str	):






							'''simple docstring'''



							return 1e-4



						@property
						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							return 12



