


'''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


UpperCAmelCase_		:   str							   =		logging.get_logger(__name__)

UpperCAmelCase_		:   Any							   =		{
    'google/mobilenet_v2_1.4_224': 'https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json',
    'google/mobilenet_v2_1.0_224': 'https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json',
    'google/mobilenet_v2_0.75_160': 'https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json',
    'google/mobilenet_v2_0.35_96': 'https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json',
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}





class     lowercase__  (						_snake_case					):





							'''simple docstring'''


							A_							:      List[Any]      	=  """mobilenet_v2"""






							def __init__(    self    ,					__snake_case=3    ,					__snake_case=224    ,					__snake_case=1.0    ,					__snake_case=8    ,					__snake_case=8    ,					__snake_case=6    ,					__snake_case=32    ,					__snake_case=True    ,					__snake_case=True    ,					__snake_case="relu6"    ,					__snake_case=True    ,					__snake_case=0.8    ,					__snake_case=0.02    ,					__snake_case=0.001    ,					__snake_case=255    ,					**__snake_case    ,					):
											super().__init__(**__snake_case  )

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

											_SCREAMING_SNAKE_CASE :       Tuple     		=      num_channels
											_SCREAMING_SNAKE_CASE :       str     		=      image_size
											_SCREAMING_SNAKE_CASE :       List[Any]     		=      depth_multiplier
											_SCREAMING_SNAKE_CASE :       int     		=      depth_divisible_by
											_SCREAMING_SNAKE_CASE :       Optional[int]     		=      min_depth
											_SCREAMING_SNAKE_CASE :       List[Any]     		=      expand_ratio
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      output_stride
											_SCREAMING_SNAKE_CASE :       int     		=      first_layer_is_expansion
											_SCREAMING_SNAKE_CASE :       str     		=      finegrained_output
											_SCREAMING_SNAKE_CASE :       Any     		=      hidden_act
											_SCREAMING_SNAKE_CASE :       Dict     		=      tf_padding
											_SCREAMING_SNAKE_CASE :       List[Any]     		=      classifier_dropout_prob
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      initializer_range
											_SCREAMING_SNAKE_CASE :       Optional[int]     		=      layer_norm_eps
											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      semantic_loss_ignore_index





class     lowercase__  (						_snake_case					):





							'''simple docstring'''


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






							@property
							def UpperCAmelCase_	(    self  ):
											return OrderedDict([("""pixel_values""", {0: """batch"""})]  )






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






							@property
							def UpperCAmelCase_	(    self  ):
											return 1e-4








'''simple docstring'''


from __future__ import annotations

import os
from typing import Any

import requests

UpperCAmelCase_		:   List[Any]							   =		'https://api.github.com'

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
UpperCAmelCase_		:   Optional[Any]							   =		BASE_URL + '/user'

# https://github.com/settings/tokens
UpperCAmelCase_		:   str							   =		os.environ.get('USER_TOKEN', '')







def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      {
				    """Authorization""": f"""token {auth_token}""",
				    """Accept""": """application/vnd.github.v3+json""",
				}
				return requests.get(SCREAMING_SNAKE_CASE__							,      headers=SCREAMING_SNAKE_CASE__     ).json()


if __name__ == "__main__":  # pragma: no cover
				if USER_TOKEN:
								for key, value in fetch_github_info(USER_TOKEN).items():
												print(F"{key}: {value}")
				else:
								raise ValueError('\'USER_TOKEN\' field cannot be empty.')




