
"""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


A__	:    Dict			 = logging.get_logger(__name__)

A__	:    Any			 = {
    '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__      (							__lowercase       ):
			_UpperCAmelCase		:Optional[Any]             =			'''mobilenet_v1'''


			def __init__(				self					:  List[Any]       ,	snake_case__					:  str=3       ,	snake_case__					:  str=224       ,	snake_case__					:  Tuple=1.0       ,	snake_case__					:  Optional[int]=8       ,	snake_case__					:  List[str]="relu6"       ,	snake_case__					:  Dict=True       ,	snake_case__					:  Tuple=0.999       ,	snake_case__					:  List[Any]=0.02       ,	snake_case__					:  List[Any]=0.001       ,	**snake_case__					:  Dict       ,	):
										super().__init__(**UpperCAmelCase__ )

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

										lowerCamelCase_	:							List[Any]									=num_channels
										lowerCamelCase_	:							List[Any]									=image_size
										lowerCamelCase_	:							List[Any]									=depth_multiplier
										lowerCamelCase_	:							List[str]									=min_depth
										lowerCamelCase_	:							int									=hidden_act
										lowerCamelCase_	:							Any									=tf_padding
										lowerCamelCase_	:							List[Any]									=classifier_dropout_prob
										lowerCamelCase_	:							List[Any]									=initializer_range
										lowerCamelCase_	:							int									=layer_norm_eps







class        lowercase__      (							__lowercase       ):
			_UpperCAmelCase		:List[str]             =			version.parse("1.11"       )


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


			@property
			def      UpperCAmelCase__						(				self					:  List[Any] ):
										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					:  Dict ):
										return 1E-4











"""simple docstring"""



def 			_snake_case    (					lowerCamelCase__     :   Optional[Any]  )    ->     Optional[int]:
							if not head:
														return True
							# split the list to two parts
							lowerCamelCase_							,						lowerCamelCase_	:							Union[str, Any]									=head.next, head
							while fast and fast.next:
														lowerCamelCase_	:							Optional[Any]									=fast.next.next
														lowerCamelCase_	:							str									=slow.next
							lowerCamelCase_	:							Tuple									=slow.next
							lowerCamelCase_	:							Any									=None  # Don't forget here! But forget still works!
							# reverse the second part
							lowerCamelCase_	:							List[str]									=None
							while second:
														lowerCamelCase_	:							Any									=second.next
														lowerCamelCase_	:							Union[str, Any]									=node
														lowerCamelCase_	:							Union[str, Any]									=second
														lowerCamelCase_	:							Optional[Any]									=nxt
							# compare two parts
							# second part has the same or one less node
							while node:
														if node.val != head.val:
																					return False
														lowerCamelCase_	:							List[str]									=node.next
														lowerCamelCase_	:							Optional[Any]									=head.next
							return True

def 			_snake_case    (					lowerCamelCase__     :   str  )    ->     Optional[int]:
							if not head or not head.next:
														return True

							# 1. Get the midpoint (slow)
							lowerCamelCase_	:							List[str]									=head
							while fast and fast.next:
														lowerCamelCase_							,						lowerCamelCase_	:							Union[str, Any]									=fast.next.next, slow.next

							# 2. Push the second half into the stack
							lowerCamelCase_	:							List[Any]									=[slow.val]
							while slow.next:
														lowerCamelCase_	:							List[Any]									=slow.next
														stack.append(slow.val  )

							# 3. Comparison
							while stack:
														if stack.pop() != cur.val:
																					return False
														lowerCamelCase_	:							Union[str, Any]									=cur.next

							return True

def 			_snake_case    (					lowerCamelCase__     :   Dict  )    ->     Optional[Any]:
							if not head or not head.next:
														return True
							lowerCamelCase_	:							Union[str, Any]									={}
							lowerCamelCase_	:							List[Any]									=0
							while head:
														if head.val in d:
																					d[head.val].append(lowerCamelCase__  )
														else:
																					lowerCamelCase_	:							List[str]									=[pos]
														lowerCamelCase_	:							Optional[int]									=head.next
														pos += 1
							lowerCamelCase_	:							Union[str, Any]									=pos - 1
							lowerCamelCase_	:							Optional[int]									=0
							for v in d.values():
														if len(lowerCamelCase__  ) % 2 != 0:
																					middle += 1
														else:
																					lowerCamelCase_	:							Optional[Any]									=0
																					for i in range(0    ,						len(lowerCamelCase__  )  ):
																												if v[i] + v[len(lowerCamelCase__  ) - 1 - step] != checksum:
																																			return False
																												step += 1
														if middle > 1:
																					return False
							return True



