
"""simple docstring"""

import copy
from typing import Dict, List, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


SCREAMING_SNAKE_CASE_    					=						{
    '''facebook/mask2former-swin-small-coco-instance''': (
        '''https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json'''
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							List[str]							      =	"mask2former"
      __SCREAMING_SNAKE_CASE   :							Dict							      =	["swin"]
      __SCREAMING_SNAKE_CASE   :							Any							      =	{"hidden_size": "hidden_dim"}




      def __init__(							self   ,       lowercase_ = None   ,       lowercase_ = 2_5_6   ,       lowercase_ = 2_5_6   ,       lowercase_ = 2_5_6   ,       lowercase_ = 1_0_2_4   ,       lowercase_ = "relu"   ,       lowercase_ = 6   ,       lowercase_ = 1_0   ,       lowercase_ = 8   ,       lowercase_ = 0.0   ,       lowercase_ = 2_0_4_8   ,       lowercase_ = False   ,       lowercase_ = False   ,       lowercase_ = 4   ,       lowercase_ = 2_5_5   ,       lowercase_ = 1_0_0   ,       lowercase_ = 0.1   ,       lowercase_ = 2.0   ,       lowercase_ = 5.0   ,       lowercase_ = 5.0   ,       lowercase_ = 1_2_5_4_4   ,       lowercase_ = 3.0   ,       lowercase_ = 0.7_5   ,       lowercase_ = 0.0_2   ,       lowercase_ = 1.0   ,       lowercase_ = True   ,       lowercase_ = [4, 8, 1_6, 3_2]   ,       lowercase_ = None   ,       **lowercase_   ,       )						->					int:
          if backbone_config is None:
              logger.info('`backbone_config` is `None`. Initializing the config with the default `Swin` backbone.'							)
              UpperCAmelCase									=					CONFIG_MAPPING['swin'](
                  image_size=2_2_4   ,       in_channels=3   ,       patch_size=4   ,       embed_dim=9_6   ,       depths=[2, 2, 1_8, 2]   ,       num_heads=[3, 6, 1_2, 2_4]   ,       window_size=7   ,       drop_path_rate=0.3   ,       use_absolute_embeddings=lowercase_   ,       out_features=['stage1', 'stage2', 'stage3', 'stage4']   ,       )

          if isinstance(lowercase_   ,       lowercase_							):
              UpperCAmelCase									=					backbone_config.pop('model_type'							)
              UpperCAmelCase									=					CONFIG_MAPPING[backbone_model_type]
              UpperCAmelCase									=					config_class.from_dict(lowercase_							)

          # verify that the backbone is supported
          if backbone_config.model_type not in self.backbones_supported:
              logger.warning_once(
                  F"Backbone {backbone_config.model_type} is not a supported model and may not be compatible with Mask2Former. "
                  F"Supported model types: {','.join(self.backbones_supported							)}"							)

          UpperCAmelCase									=					backbone_config
          UpperCAmelCase									=					feature_size
          UpperCAmelCase									=					mask_feature_size
          UpperCAmelCase									=					hidden_dim
          UpperCAmelCase									=					encoder_feedforward_dim
          UpperCAmelCase									=					activation_function
          UpperCAmelCase									=					encoder_layers
          UpperCAmelCase									=					decoder_layers
          UpperCAmelCase									=					num_attention_heads
          UpperCAmelCase									=					dropout
          UpperCAmelCase									=					dim_feedforward
          UpperCAmelCase									=					pre_norm
          UpperCAmelCase									=					enforce_input_projection
          UpperCAmelCase									=					common_stride
          UpperCAmelCase									=					ignore_value
          UpperCAmelCase									=					num_queries
          UpperCAmelCase									=					no_object_weight
          UpperCAmelCase									=					class_weight
          UpperCAmelCase									=					mask_weight
          UpperCAmelCase									=					dice_weight
          UpperCAmelCase									=					train_num_points
          UpperCAmelCase									=					oversample_ratio
          UpperCAmelCase									=					importance_sample_ratio
          UpperCAmelCase									=					init_std
          UpperCAmelCase									=					init_xavier_std
          UpperCAmelCase									=					use_auxiliary_loss
          UpperCAmelCase									=					feature_strides
          UpperCAmelCase									=					output_auxiliary_logits
          UpperCAmelCase									=					decoder_layers

          super().__init__(**lowercase_							)




      @classmethod
      def     a_      (							cls   ,       lowercase_   ,       **lowercase_							)						->					List[str]:
          return cls(
              backbone_config=lowercase_   ,       **lowercase_   ,       )




      def     a_      (							self							)						->					Dict[str, any]:
          UpperCAmelCase									=					copy.deepcopy(self.__dict__							)
          UpperCAmelCase									=					self.backbone_config.to_dict()
          UpperCAmelCase									=					self.__class__.model_type
          return output





"""simple docstring"""

import argparse
import datetime




def     lowercase__						(					lowerCAmelCase				:					str ) ->      str:






    """simple docstring"""




    UpperCAmelCase									=					{
        '0': 'Sunday',
        '1': 'Monday',
        '2': 'Tuesday',
        '3': 'Wednesday',
        '4': 'Thursday',
        '5': 'Friday',
        '6': 'Saturday',
    }

    UpperCAmelCase									=					{0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

    # Validate
    if not 0 < len(lowerCAmelCase ) < 11:
        raise ValueError('Must be 10 characters long' )

    # Get month
    UpperCAmelCase									=					int(date_input[0] + date_input[1] )
    # Validate
    if not 0 < m < 13:
        raise ValueError('Month must be between 1 - 12' )

    UpperCAmelCase									=					date_input[2]
    # Validate
    if sep_a not in ["-", "/"]:
        raise ValueError('Date separator must be \'-\' or \'/\'' )

    # Get day
    UpperCAmelCase									=					int(date_input[3] + date_input[4] )
    # Validate
    if not 0 < d < 32:
        raise ValueError('Date must be between 1 - 31' )

    # Get second separator
    UpperCAmelCase									=					date_input[5]
    # Validate
    if sep_a not in ["-", "/"]:
        raise ValueError('Date separator must be \'-\' or \'/\'' )

    # Get year
    UpperCAmelCase									=					int(date_input[6] + date_input[7] + date_input[8] + date_input[9] )
    # Arbitrary year range
    if not 45 < y < 8_500:
        raise ValueError(
            'Year out of range. There has to be some sort of limit...right?' )

    # Get datetime obj for validation
    UpperCAmelCase									=					datetime.date(int(lowerCAmelCase ) ,				int(lowerCAmelCase ) ,				int(lowerCAmelCase ) )

    # Start math
    if m <= 2:
        UpperCAmelCase									=					y - 1
        UpperCAmelCase									=					m + 12
    # maths var
    UpperCAmelCase									=					int(str(lowerCAmelCase )[:2] )
    UpperCAmelCase									=					int(str(lowerCAmelCase )[2:] )
    UpperCAmelCase									=					int(2.6 * m - 5.39 )
    UpperCAmelCase									=					int(c / 4 )
    UpperCAmelCase									=					int(k / 4 )
    UpperCAmelCase									=					int(d + k )
    UpperCAmelCase									=					int(t + u + v + x )
    UpperCAmelCase									=					int(z - (2 * c) )
    UpperCAmelCase									=					round(w % 7 )
    # End math

    # Validate math
    if f != convert_datetime_days[dt_ck.weekday()]:
        raise AssertionError('The date was evaluated incorrectly. Contact developer.' )

    # Response
    UpperCAmelCase									=					F"Your date {date_input}, is a {days[str(lowerCAmelCase )]}!"
    return response


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   SCREAMING_SNAKE_CASE_    					=						argparse.ArgumentParser(
       description=(
           '''Find out what day of the week nearly any date is or was. Enter '''
           '''date as a string in the mm-dd-yyyy or mm/dd/yyyy format'''
       )
   )
   parser.add_argument(
       '''date_input''', type=str, help='''Date as a string (mm-dd-yyyy or mm/dd/yyyy)'''
   )
   SCREAMING_SNAKE_CASE_    					=						parser.parse_args()
   zeller(args.date_input)



