'''simple docstring'''




import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


_UpperCamelCase				:		Optional[int]       			=		2 << 20  # 2mb
_UpperCamelCase				:		Union[str, Any]       			=		get_logger(__name__)

class   _lowercase(     _lowerCamelCase				):





   def 			snake_case	(							self:    Any	):
    __UpperCAmelCase         =					self._options.get_all_options().get('runner'	)
    return runner in [None, "DirectRunner", "PortableRunner"]




def 						__snake_case (       lowerCAmelCase       :     List[str]      ,  lowerCAmelCase       :     str      ,  lowerCAmelCase       :     Dict=False			):
 __UpperCAmelCase         =					FileSystems
 if fs.exists(UpperCamelCase__			):
  if force_upload:
   logger.info(F"""Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True."""			)
  else:
   logger.info(F"""Remote path already exist: {remote_file_path}. Skipping it as force_upload=False."""			)
   return
 with fs.create(UpperCamelCase__			) as remote_file:
  with open(UpperCamelCase__      ,  'rb'			) as local_file:
   __UpperCAmelCase         =					local_file.read(UpperCamelCase__			)
   while chunk:
    remote_file.write(UpperCamelCase__			)
    __UpperCAmelCase         =					local_file.read(UpperCamelCase__			)



def 						__snake_case (       lowerCAmelCase       :     int      ,  lowerCAmelCase       :     Dict      ,  lowerCAmelCase       :     str=False			):
 __UpperCAmelCase         =					FileSystems
 if os.path.exists(UpperCamelCase__			):
  if force_download:
   logger.info(F"""Local path already exist: {remote_file_path}. Overwriting it as force_upload=True."""			)
  else:
   logger.info(F"""Local path already exist: {remote_file_path}. Skipping it as force_upload=False."""			)
   return
 with fs.open(UpperCamelCase__			) as remote_file:
  with open(UpperCamelCase__      ,  'wb'			) as local_file:
   __UpperCAmelCase         =					remote_file.read(UpperCamelCase__			)
   while chunk:
    local_file.write(UpperCamelCase__			)
    __UpperCAmelCase         =					remote_file.read(UpperCamelCase__			)




'''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				:		Any       			=		logging.get_logger(__name__)

_UpperCamelCase				:		Any       			=		{
    'apple/mobilevitv2-1.0': 'https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json',
}

class   _lowercase(     _lowerCamelCase				):



   """simple docstring"""





   __lowerCamelCase    =  '''mobilevitv2'''





   def __init__(							self:    Union[str, Any]			,a:    Optional[int]=3			,a:    Any=256			,a:    str=2			,a:    Any=2.0			,a:    Union[str, Any]="swish"			,a:    List[str]=3			,a:    List[str]=32			,a:    int=0.1			,a:    List[Any]=0.02			,a:    List[Any]=1e-5			,a:    Tuple=512			,a:    Optional[Any]=[6, 12, 18]			,a:    Dict=0.1			,a:    List[Any]=255			,a:    Union[str, Any]=[2, 4, 3]			,a:    str=[128, 192, 256]			,a:    int=1.0			,a:    Optional[int]=2			,a:    Optional[Any]=0.0			,a:    int=0.0			,**a:    Optional[Any]			,):
    super().__init__(**a	)

    __UpperCAmelCase         =					num_channels
    __UpperCAmelCase         =					image_size
    __UpperCAmelCase         =					patch_size
    __UpperCAmelCase         =					expand_ratio
    __UpperCAmelCase         =					hidden_act
    __UpperCAmelCase         =					conv_kernel_size
    __UpperCAmelCase         =					output_stride
    __UpperCAmelCase         =					initializer_range
    __UpperCAmelCase         =					layer_norm_eps
    __UpperCAmelCase         =					n_attn_blocks
    __UpperCAmelCase         =					base_attn_unit_dims
    __UpperCAmelCase         =					width_multiplier
    __UpperCAmelCase         =					ffn_multiplier
    __UpperCAmelCase         =					ffn_dropout
    __UpperCAmelCase         =					attn_dropout
    __UpperCAmelCase         =					classifier_dropout_prob

    # decode head attributes for semantic segmentation
    __UpperCAmelCase         =					aspp_out_channels
    __UpperCAmelCase         =					atrous_rates
    __UpperCAmelCase         =					aspp_dropout_prob
    __UpperCAmelCase         =					semantic_loss_ignore_index




class   _lowercase(     _lowerCamelCase				):



   """simple docstring"""





   __lowerCamelCase    =  version.parse('''1.11'''				)





   @property
   def 			snake_case	(							self:    Optional[int]	):
    return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]	)





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





   @property
   def 			snake_case	(							self:    Union[str, Any]	):
    return 1e-4



