

from ...configuration_utils import PretrainedConfig
from ...utils import is_detectrona_available, logging


lowercase     :       int        =       logging.get_logger(__name__)

lowercase     :       Any        =       {
    "layoutlmv2-base-uncased": "https://huggingface.co/microsoft/layoutlmv2-base-uncased/resolve/main/config.json",
    "layoutlmv2-large-uncased": "https://huggingface.co/microsoft/layoutlmv2-large-uncased/resolve/main/config.json",
    # See all LayoutLMv2 models at https://huggingface.co/models?filter=layoutlmv2
}

# soft dependency
if is_detectrona_available():
					import detectrona
class 		SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):







						"""simple docstring"""




						lowercase  :				str											=							'layoutlmv2'

						def __init__(				self , __UpperCamelCase=3_05_22 , __UpperCamelCase=7_68 , __UpperCamelCase=12 , __UpperCamelCase=12 , __UpperCamelCase=30_72 , __UpperCamelCase="gelu" , __UpperCamelCase=0.1 , __UpperCamelCase=0.1 , __UpperCamelCase=5_12 , __UpperCamelCase=2 , __UpperCamelCase=0.02 , __UpperCamelCase=1E-12 , __UpperCamelCase=0 , __UpperCamelCase=10_24 , __UpperCamelCase=1_28 , __UpperCamelCase=32 , __UpperCamelCase=True , __UpperCamelCase=2_56 , __UpperCamelCase=64 , __UpperCamelCase=True , __UpperCamelCase=[7, 7, 2_56] , __UpperCamelCase=1_28 , __UpperCamelCase=1_28 , __UpperCamelCase=True , __UpperCamelCase=True , __UpperCamelCase=False , __UpperCamelCase=None , **__UpperCamelCase , )							->	Union[str, Any]:




									'''simple docstring'''


									super().__init__(
									    vocab_size=__UpperCamelCase , hidden_size=__UpperCamelCase , num_hidden_layers=__UpperCamelCase , num_attention_heads=__UpperCamelCase , intermediate_size=__UpperCamelCase , hidden_act=__UpperCamelCase , hidden_dropout_prob=__UpperCamelCase , attention_probs_dropout_prob=__UpperCamelCase , max_position_embeddings=__UpperCamelCase , type_vocab_size=__UpperCamelCase , initializer_range=__UpperCamelCase , layer_norm_eps=__UpperCamelCase , pad_token_id=__UpperCamelCase , **__UpperCamelCase , )
									__UpperCamelCase    :    Tuple								=      max_ad_position_embeddings
									__UpperCamelCase    :    List[str]								=      max_rel_pos
									__UpperCamelCase    :    List[str]								=      rel_pos_bins
									__UpperCamelCase    :    Any								=      fast_qkv
									__UpperCamelCase    :    List[str]								=      max_rel_ad_pos
									__UpperCamelCase    :    str								=      rel_ad_pos_bins
									__UpperCamelCase    :    Dict								=      convert_sync_batchnorm
									__UpperCamelCase    :    Dict								=      image_feature_pool_shape
									__UpperCamelCase    :    str								=      coordinate_size
									__UpperCamelCase    :    List[Any]								=      shape_size
									__UpperCamelCase    :    Any								=      has_relative_attention_bias
									__UpperCamelCase    :    List[str]								=      has_spatial_attention_bias
									__UpperCamelCase    :    Optional[int]								=      has_visual_segment_embedding
									__UpperCamelCase    :    str								=      (
									    detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
									)

						@classmethod
						def __lowerCamelCase					(				self    )							->	List[str]:




									'''simple docstring'''


									return {
									    "MODEL.MASK_ON": True,
									    "MODEL.PIXEL_STD": [57.375, 57.120, 58.395],
									    "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
									    "MODEL.FPN.IN_FEATURES": ["res2", "res3", "res4", "res5"],
									    "MODEL.ANCHOR_GENERATOR.SIZES": [[32], [64], [1_28], [2_56], [5_12]],
									    "MODEL.RPN.IN_FEATURES": ["p2", "p3", "p4", "p5", "p6"],
									    "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 20_00,
									    "MODEL.RPN.PRE_NMS_TOPK_TEST": 10_00,
									    "MODEL.RPN.POST_NMS_TOPK_TRAIN": 10_00,
									    "MODEL.POST_NMS_TOPK_TEST": 10_00,
									    "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
									    "MODEL.ROI_HEADS.NUM_CLASSES": 5,
									    "MODEL.ROI_HEADS.IN_FEATURES": ["p2", "p3", "p4", "p5"],
									    "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
									    "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
									    "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
									    "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
									    "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
									    "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
									    "MODEL.RESNETS.DEPTH": 1_01,
									    "MODEL.RESNETS.SIZES": [[32], [64], [1_28], [2_56], [5_12]],
									    "MODEL.RESNETS.ASPECT_RATIOS": [[0.5, 1.0, 2.0]],
									    "MODEL.RESNETS.OUT_FEATURES": ["res2", "res3", "res4", "res5"],
									    "MODEL.RESNETS.NUM_GROUPS": 32,
									    "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
									    "MODEL.RESNETS.STRIDE_IN_1X1": False,
									}




						def __lowerCamelCase					(				self    )							->	Dict:




									'''simple docstring'''


									__UpperCamelCase    :    List[str]								=      detectrona.config.get_cfg()
									for k, v in self.detectrona_config_args.items():
												__UpperCamelCase    :    Dict								=      k.split("."    )
												__UpperCamelCase    :    Any								=      detectrona_config
												for attribute in attributes[:-1]:
															__UpperCamelCase    :    Any								=      getattr(__UpperCamelCase , __UpperCamelCase    )
												setattr(__UpperCamelCase , attributes[-1] , __UpperCamelCase    )

									return detectrona_config


import random
import sys

from . import cryptomath_module as cryptomath

lowercase     :       Optional[Any]        =       (
    r" !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`"
    r"abcdefghijklmnopqrstuvwxyz{|}~"
)







def  UpperCAmelCase_   (_lowerCAmelCase :		int     ,			_lowerCAmelCase :		int     ,			_lowerCAmelCase :		str		):
			if mode == "encrypt":
						if key_a == 1:
									sys.exit(
									    "The affine cipher becomes weak when key "
									    "A is set to 1. Choose different key"		)
						if key_b == 0:
									sys.exit(
									    "The affine cipher becomes weak when key "
									    "B is set to 0. Choose different key"		)
			if key_a < 0 or key_b < 0 or key_b > len(_lowerCAmelCase		) - 1:
						sys.exit(
						    "Key A must be greater than 0 and key B must "
						    F'''be between 0 and {len(_lowerCAmelCase		) - 1}.'''		)
			if cryptomath.gcd(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		) != 1:
						sys.exit(
						    F'''Key A {key_a} and the symbol set size {len(_lowerCAmelCase		)} '''
						    "are not relatively prime. Choose a different key."		)







def  UpperCAmelCase_   (_lowerCAmelCase :		int     ,			_lowerCAmelCase :		str		):
			__UpperCamelCase							,				__UpperCamelCase    :    int								=      divmod(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		)
			check_keys(_lowerCAmelCase     ,			_lowerCAmelCase     ,			"encrypt"		)
			__UpperCamelCase    :    List[Any]								=      ""
			for symbol in message:
						if symbol in SYMBOLS:
									__UpperCamelCase    :    Tuple								=      SYMBOLS.find(_lowerCAmelCase		)
									cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(_lowerCAmelCase		)]
						else:
									cipher_text += symbol
			return cipher_text







def  UpperCAmelCase_   (_lowerCAmelCase :		int     ,			_lowerCAmelCase :		str		):
			__UpperCamelCase							,				__UpperCamelCase    :    List[str]								=      divmod(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		)
			check_keys(_lowerCAmelCase     ,			_lowerCAmelCase     ,			"decrypt"		)
			__UpperCamelCase    :    List[Any]								=      ""
			__UpperCamelCase    :    Tuple								=      cryptomath.find_mod_inverse(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		)
			for symbol in message:
						if symbol in SYMBOLS:
									__UpperCamelCase    :    List[Any]								=      SYMBOLS.find(_lowerCAmelCase		)
									plain_text += SYMBOLS[
									    (sym_index - key_b) * mod_inverse_of_key_a % len(_lowerCAmelCase		)
									]
						else:
									plain_text += symbol
			return plain_text







def  UpperCAmelCase_   ():
			while True:
						__UpperCamelCase    :    Optional[int]								=      random.randint(2     ,			len(_lowerCAmelCase		)		)
						__UpperCamelCase    :    Optional[int]								=      random.randint(2     ,			len(_lowerCAmelCase		)		)
						if cryptomath.gcd(_lowerCAmelCase     ,			len(_lowerCAmelCase		)		) == 1 and key_b % len(_lowerCAmelCase		) != 0:
									return key_b * len(_lowerCAmelCase		) + key_b







def  UpperCAmelCase_   ():
			__UpperCamelCase    :    List[Any]								=      input("Enter message: "		).strip()
			__UpperCamelCase    :    List[Any]								=      int(input("Enter key [2000 - 9000]: "		).strip()		)
			__UpperCamelCase    :    Optional[int]								=      input("Encrypt/Decrypt [E/D]: "		).strip().lower()

			if mode.startswith("e"		):
						__UpperCamelCase    :    str								=      "encrypt"
						__UpperCamelCase    :    str								=      encrypt_message(_lowerCAmelCase     ,			_lowerCAmelCase		)
			elif mode.startswith("d"		):
						__UpperCamelCase    :    int								=      "decrypt"
						__UpperCamelCase    :    Dict								=      decrypt_message(_lowerCAmelCase     ,			_lowerCAmelCase		)
			print(F'''\n{mode.title()}ed text: \n{translated}'''		)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					# main()