


import argparse
import datetime

def    UpperCamelCase__	(	_A    :					str		):

      """simple docstring"""




      lowerCamelCase__	:       Union[str, Any]					=						{
          '''0''': '''Sunday''',
          '''1''': '''Monday''',
          '''2''': '''Tuesday''',
          '''3''': '''Wednesday''',
          '''4''': '''Thursday''',
          '''5''': '''Friday''',
          '''6''': '''Saturday''',
      }

      lowerCamelCase__	:       Optional[int]					=						{0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

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

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

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

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

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

      # Get year
      lowerCamelCase__	:       int					=						int(date_input[6] + date_input[7] + date_input[8] + date_input[9]		)
      # Arbitrary year range
      if not 45 < y < 8500:
            raise ValueError(
                "Year out of range. There has to be some sort of limit...right?"		)

      # Get datetime obj for validation
      lowerCamelCase__	:       List[str]					=						datetime.date(int(snake_case_		)					,      int(snake_case_		)					,      int(snake_case_		)		)

      # Start math
      if m <= 2:
            lowerCamelCase__	:       int					=						y - 1
            lowerCamelCase__	:       Dict					=						m + 12
      # maths var
      lowerCamelCase__	:       int					=						int(str(snake_case_		)[:2]		)
      lowerCamelCase__	:       int					=						int(str(snake_case_		)[2:]		)
      lowerCamelCase__	:       int					=						int(2.6 * m - 5.39		)
      lowerCamelCase__	:       int					=						int(c / 4		)
      lowerCamelCase__	:       int					=						int(k / 4		)
      lowerCamelCase__	:       int					=						int(d + k		)
      lowerCamelCase__	:       int					=						int(t + u + v + x		)
      lowerCamelCase__	:       int					=						int(z - (2 * c)		)
      lowerCamelCase__	:       int					=						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
      lowerCamelCase__	:       str					=						F"Your date {date_input}, is a {days[str(snake_case_		)]}!"
      return response


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    A   :					List[str]	=      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)"
    )
    A   :					Any	=      parser.parse_args()
    zeller(args.date_input)






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A   :					Union[str, Any]	=      logging.get_logger(__name__)

A   :					Dict	=      {
    "kssteven/ibert-roberta-base": "https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json",
    "kssteven/ibert-roberta-large": "https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json",
    "kssteven/ibert-roberta-large-mnli": (
        "https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json"
    ),
}







class     _lowercase				(							lowercase__):


       """simple docstring"""




       A__      		=    "ibert"





       def __init__(     self							:    int      ,   __lowerCamelCase							:    List[str]=30522      ,   __lowerCamelCase							:    Optional[int]=768      ,   __lowerCamelCase							:    List[Any]=12      ,   __lowerCamelCase							:    str=12      ,   __lowerCamelCase							:    List[str]=3072      ,   __lowerCamelCase							:    Dict="gelu"      ,   __lowerCamelCase							:    Dict=0.1      ,   __lowerCamelCase							:    Optional[int]=0.1      ,   __lowerCamelCase							:    Any=512      ,   __lowerCamelCase							:    List[str]=2      ,   __lowerCamelCase							:    Union[str, Any]=0.0_2      ,   __lowerCamelCase							:    Any=1E-1_2      ,   __lowerCamelCase							:    int=1      ,   __lowerCamelCase							:    Optional[Any]=0      ,   __lowerCamelCase							:    int=2      ,   __lowerCamelCase							:    int="absolute"      ,   __lowerCamelCase							:    Tuple=False      ,   __lowerCamelCase							:    Dict="none"      ,   **__lowerCamelCase							:    Tuple      ,   ):


             '''simple docstring'''



             super().__init__(pad_token_id=__lowerCamelCase      ,   bos_token_id=__lowerCamelCase      ,   eos_token_id=__lowerCamelCase      ,   **__lowerCamelCase )

             lowerCamelCase__	:       Any					=						vocab_size
             lowerCamelCase__	:       Optional[Any]					=						hidden_size
             lowerCamelCase__	:       Optional[int]					=						num_hidden_layers
             lowerCamelCase__	:       int					=						num_attention_heads
             lowerCamelCase__	:       List[str]					=						hidden_act
             lowerCamelCase__	:       List[str]					=						intermediate_size
             lowerCamelCase__	:       Optional[int]					=						hidden_dropout_prob
             lowerCamelCase__	:       Any					=						attention_probs_dropout_prob
             lowerCamelCase__	:       Tuple					=						max_position_embeddings
             lowerCamelCase__	:       Any					=						type_vocab_size
             lowerCamelCase__	:       Optional[int]					=						initializer_range
             lowerCamelCase__	:       Tuple					=						layer_norm_eps
             lowerCamelCase__	:       int					=						position_embedding_type
             lowerCamelCase__	:       List[str]					=						quant_mode
             lowerCamelCase__	:       int					=						force_dequant







class     _lowercase				(							lowercase__):


       """simple docstring"""




       @property
       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



             if self.task == "multiple-choice":
                   lowerCamelCase__	:       Any					=						{0: "batch", 1: "choice", 2: "sequence"}
             else:
                   lowerCamelCase__	:       Any					=						{0: "batch", 1: "sequence"}
             return OrderedDict(
                 [
                     ("input_ids", dynamic_axis),
                     ("attention_mask", dynamic_axis),
                 ] )


