


'''simple docstring'''
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							   =  logging.get_logger(__name__)

__snake_case							   =  {
    '''google/mobilenet_v1_1.0_224''': '''https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v1_0.75_192''': '''https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json''',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}
class      lowercase			(							A__      ):

		"""simple docstring"""

		_a									=       'mobilenet_v1'




		def __init__(	self					,     UpperCamelCase_=3					,     UpperCamelCase_=224					,     UpperCamelCase_=1.0					,     UpperCamelCase_=8					,     UpperCamelCase_="relu6"					,     UpperCamelCase_=True					,     UpperCamelCase_=0.999					,     UpperCamelCase_=0.02					,     UpperCamelCase_=0.001					,     **UpperCamelCase_					,     ):

							'''simple docstring'''


							super().__init__(**UpperCamelCase_							)

							if depth_multiplier <= 0:
												raise ValueError('''depth_multiplier must be greater than zero.'''							)

							UpperCamelCase__     :Optional[int]							      =				num_channels
							UpperCamelCase__     :Union[str, Any]							      =				image_size
							UpperCamelCase__     :Optional[Any]							      =				depth_multiplier
							UpperCamelCase__     :Any							      =				min_depth
							UpperCamelCase__     :str							      =				hidden_act
							UpperCamelCase__     :Dict							      =				tf_padding
							UpperCamelCase__     :List[str]							      =				classifier_dropout_prob
							UpperCamelCase__     :Optional[Any]							      =				initializer_range
							UpperCamelCase__     :Dict							      =				layer_norm_eps



class      lowercase			(							A__      ):

		"""simple docstring"""

		_a									=       version.parse('1.11'      )




		@property
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							return OrderedDict([('''pixel_values''', {0: '''batch'''})]							)




		@property
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							if self.task == "image-classification":
												return OrderedDict([('''logits''', {0: '''batch'''})]							)
							else:
												return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]							)




		@property
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							return 1e-4



'''simple docstring'''
import json
import sys


def     a   (    __a				,      __a     )						->			str:



					'''simple docstring'''






					with open(__a				,      encoding='''utf-8'''     ) as f:
										UpperCamelCase__     :List[str]							      =				json.load(__a     )

					UpperCamelCase__     :int							      =				['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

					for benchmark_name in sorted(__a     ):
										UpperCamelCase__     :Optional[Any]							      =				results[benchmark_name]

										UpperCamelCase__     :int							      =				benchmark_name.split('''/'''     )[-1]
										output_md.append(f'''### Benchmark: {benchmark_file_name}'''     )

										UpperCamelCase__     :List[str]							      =				'''| metric |'''
										UpperCamelCase__     :str							      =				'''|--------|'''
										UpperCamelCase__     :Union[str, Any]							      =				'''| new / old (diff) |'''
										for metric_name in sorted(__a     ):
															UpperCamelCase__     :List[Any]							      =				benchmark_res[metric_name]
															UpperCamelCase__     :Optional[int]							      =				metric_vals['''new''']
															UpperCamelCase__     :Any							      =				metric_vals.get('''old'''				,      __a     )
															UpperCamelCase__     :Optional[int]							      =				metric_vals.get('''diff'''				,      __a     )

															UpperCamelCase__     :List[str]							      =				f''' {new_val:f}''' if isinstance(__a				,      (int, float)     ) else '''None'''

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

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

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

					output_md.append('''</details>'''     )

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


if __name__ == "__main__":
		__snake_case							   =  sys.argv[1]
		__snake_case							   =  sys.argv[2]

		format_json_to_md(input_json_file, output_md_file)