






"""simple docstring"""





def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Union[str, Any]:
    """simple docstring"""

    if not head:
        return True
    # split the list to two parts
    UpperCamelCase__       ,						UpperCamelCase__         =    head.next, head
    while fast and fast.next:
        UpperCamelCase__         =    fast.next.next
        UpperCamelCase__         =    slow.next
    UpperCamelCase__         =    slow.next
    UpperCamelCase__         =    None  # Don't forget here! But forget still works!
    # reverse the second part
    UpperCamelCase__         =    None
    while second:
        UpperCamelCase__         =    second.next
        UpperCamelCase__         =    node
        UpperCamelCase__         =    second
        UpperCamelCase__         =    nxt
    # compare two parts
    # second part has the same or one less node
    while node:
        if node.val != head.val:
            return False
        UpperCamelCase__         =    node.next
        UpperCamelCase__         =    head.next
    return True







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Any:
    """simple docstring"""

    if not head or not head.next:
        return True

    # 1. Get the midpoint (slow)
    UpperCamelCase__         =    UpperCamelCase__         =    UpperCamelCase__         =    head
    while fast and fast.next:
        UpperCamelCase__       ,						UpperCamelCase__         =    fast.next.next, slow.next

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

    # 3. Comparison
    while stack:
        if stack.pop() != cur.val:
            return False
        UpperCamelCase__         =    cur.next

    return True







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Tuple:
    """simple docstring"""

    if not head or not head.next:
        return True
    UpperCamelCase__         =    {}
    UpperCamelCase__         =    0
    while head:
        if head.val in d:
            d[head.val].append(SCREAMING_SNAKE_CASE					)
        else:
            UpperCamelCase__         =    [pos]
        UpperCamelCase__         =    head.next
        pos += 1
    UpperCamelCase__         =    pos - 1
    UpperCamelCase__         =    0
    for v in d.values():
        if len(SCREAMING_SNAKE_CASE					) % 2 != 0:
            middle += 1
        else:
            UpperCamelCase__         =    0
            for i in range(0 ,	len(SCREAMING_SNAKE_CASE					)					):
                if v[i] + v[len(SCREAMING_SNAKE_CASE					) - 1 - step] != checksum:
                    return False
                step += 1
        if middle > 1:
            return False
    return True












"""simple docstring"""





import warnings
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__					: str=	logging.get_logger(__name__)

A__					: List[Any]=	{
    """nvidia/segformer-b0-finetuned-ade-512-512""": (
        """https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json"""
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}
class    __lowerCamelCase    (  _a  ):
   a      :				Any 						="""segformer"""

   def __init__(					self ,				snake_case_=3 ,				snake_case_=4 ,				snake_case_=[2, 2, 2, 2] ,				snake_case_=[8, 4, 2, 1] ,				snake_case_=[32, 64, 160, 256] ,				snake_case_=[7, 3, 3, 3] ,				snake_case_=[4, 2, 2, 2] ,				snake_case_=[1, 2, 5, 8] ,				snake_case_=[4, 4, 4, 4] ,				snake_case_="gelu" ,				snake_case_=0.0 ,				snake_case_=0.0 ,				snake_case_=0.1 ,				snake_case_=0.02 ,				snake_case_=0.1 ,				snake_case_=1E-6 ,				snake_case_=256 ,				snake_case_=255 ,				**snake_case_ ,				)		->       Tuple:
       super().__init__(**snake_case_      )

       if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
           warnings.warn(
               'Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'
               ' removed, as the behaviour will default to that of reshape_last_stage = True.' ,				snake_case_ ,				)

       UpperCamelCase__         =    num_channels
       UpperCamelCase__         =    num_encoder_blocks
       UpperCamelCase__         =    depths
       UpperCamelCase__         =    sr_ratios
       UpperCamelCase__         =    hidden_sizes
       UpperCamelCase__         =    patch_sizes
       UpperCamelCase__         =    strides
       UpperCamelCase__         =    mlp_ratios
       UpperCamelCase__         =    num_attention_heads
       UpperCamelCase__         =    hidden_act
       UpperCamelCase__         =    hidden_dropout_prob
       UpperCamelCase__         =    attention_probs_dropout_prob
       UpperCamelCase__         =    classifier_dropout_prob
       UpperCamelCase__         =    initializer_range
       UpperCamelCase__         =    drop_path_rate
       UpperCamelCase__         =    layer_norm_eps
       UpperCamelCase__         =    decoder_hidden_size
       UpperCamelCase__         =    kwargs.get('reshape_last_stage' ,				snake_case_      )
       UpperCamelCase__         =    semantic_loss_ignore_index







class    __lowerCamelCase    (  _a  ):
   a      :				Any 						=version.parse("""1.11"""  )

   @property
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Mapping[str, Mapping[int, str]]:
       return OrderedDict(
           [
               ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
           ]      )

   @property
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       float:
       return 1E-4







   @property
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       int:
       return 12




