



'''simple docstring'''






import warnings
from collections.abc import Callable
from typing import Any

import numpy
from matplotlib import pyplot

A_				:					str							=      0.25 + 0.0J
A_				:					Dict							=      -0.4 + 0.6J
A_				:					Dict							=      -0.1 + 0.651J
A_				:					List[Any]							=      -2.0
A_				:					Any							=      5_6
A_				:					str							=      2.0
A_				:					int							=      6_6_6




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_						)->						numpy.ndarray:





       '''simple docstring'''


       return numpy.exp(lowerCAmelCase_						) + c_parameter




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_						)->						numpy.ndarray:





       '''simple docstring'''


       return z_values * z_values + c_parameter




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_						)->						numpy.ndarray:





       '''simple docstring'''


       _UpperCAmelCase    :		str     	=					numpy.linspace(-window_size			,  lowerCAmelCase_			,  lowerCAmelCase_						)
       _UpperCAmelCase    :		Dict     	=					x.reshape((nb_pixels, 1)						)
       _UpperCAmelCase    :		int     	=					numpy.linspace(-window_size			,  lowerCAmelCase_			,  lowerCAmelCase_						)
       _UpperCAmelCase    :		Union[str, Any]     	=					y.reshape((1, nb_pixels)						)
       return x + 1.0j * y




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_ = None			,  )->						numpy.ndarray:





       '''simple docstring'''


       _UpperCAmelCase    :		int     	=					z_a.astype("""complex64"""						)
       for _ in range(lowerCAmelCase_						):
              _UpperCAmelCase    :		List[str]     	=					eval_function(lowerCAmelCase_			,  lowerCAmelCase_						)
              if infinity is not None:
                     numpy.nan_to_num(lowerCAmelCase_			,  copy=lowerCAmelCase_			,  nan=lowerCAmelCase_						)
                     _UpperCAmelCase    :		Union[str, Any]     	=					infinity
       return z_n




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  )->						None:





       '''simple docstring'''


       _UpperCAmelCase    :		Any     	=					(abs(lowerCAmelCase_						)).transpose()
       _UpperCAmelCase    :		List[Any]     	=					abs_z_final[::-1, :]
       pyplot.matshow(abs_z_final < escape_radius						)
       pyplot.title(F'''Julia set of ${function_label}$, $c={function_params}$'''						)
       pyplot.show()




def        snake_case_   (	)->						None:





       '''simple docstring'''


       warnings.filterwarnings(
           """ignore"""			,  category=lowerCAmelCase_			,  message="""overflow encountered in multiply"""						)
       warnings.filterwarnings(
           """ignore"""			,  category=lowerCAmelCase_			,  message="""invalid value encountered in multiply"""			,  )
       warnings.filterwarnings(
           """ignore"""			,  category=lowerCAmelCase_			,  message="""overflow encountered in absolute"""						)
       warnings.filterwarnings(
           """ignore"""			,  category=lowerCAmelCase_			,  message="""overflow encountered in exp"""						)


if __name__ == "__main__":
   A_				:					List[Any]							=      prepare_grid(window_size, nb_pixels)

   ignore_overflow_warnings()  # See file header for explanations

   A_				:					str							=      2_4
   A_				:					Tuple							=      2 * abs(c_cauliflower) + 1
   A_				:					List[Any]							=      iterate_function(
       eval_quadratic_polynomial,
       c_cauliflower,
       nb_iterations,
       z_a,
       infinity=1.1 * escape_radius,
   )
   show_results("""z^2+c""", c_cauliflower, escape_radius, z_final)

   A_				:					Union[str, Any]							=      6_4
   A_				:					Union[str, Any]							=      2 * abs(c_polynomial_a) + 1
   A_				:					Dict							=      iterate_function(
       eval_quadratic_polynomial,
       c_polynomial_a,
       nb_iterations,
       z_a,
       infinity=1.1 * escape_radius,
   )
   show_results("""z^2+c""", c_polynomial_a, escape_radius, z_final)

   A_				:					str							=      1_6_1
   A_				:					Optional[int]							=      2 * abs(c_polynomial_a) + 1
   A_				:					Dict							=      iterate_function(
       eval_quadratic_polynomial,
       c_polynomial_a,
       nb_iterations,
       z_a,
       infinity=1.1 * escape_radius,
   )
   show_results("""z^2+c""", c_polynomial_a, escape_radius, z_final)

   A_				:					Any							=      1_2
   A_				:					List[str]							=      1_0000.0
   A_				:					List[str]							=      iterate_function(
       eval_exponential,
       c_exponential,
       nb_iterations,
       z_a + 2,
       infinity=1.0e10,
   )
   show_results("""e^z+c""", c_exponential, escape_radius, z_final)







'''simple docstring'''

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


_UpperCAmelCase					:			Optional[int]				     =					logging.get_logger(__name__)

_UpperCAmelCase					:			str				     =					{
    """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    a__					(			__A   ):







				"""simple docstring"""



				__UpperCamelCase     :		List[Any]						=						'layoutlmv2'




				def __init__(self							,      __lowercase=3_05_22							,      __lowercase=7_68							,      __lowercase=12							,      __lowercase=12							,      __lowercase=30_72							,      __lowercase="gelu"							,      __lowercase=0.1							,      __lowercase=0.1							,      __lowercase=5_12							,      __lowercase=2							,      __lowercase=0.0_2							,      __lowercase=1e-12							,      __lowercase=0							,      __lowercase=10_24							,      __lowercase=1_28							,      __lowercase=32							,      __lowercase=True							,      __lowercase=2_56							,      __lowercase=64							,      __lowercase=True							,      __lowercase=[7, 7, 2_56]							,      __lowercase=1_28							,      __lowercase=1_28							,      __lowercase=True							,      __lowercase=True							,      __lowercase=False							,      __lowercase=None							,      **__lowercase							,      ):
										super().__init__(
										    vocab_size=__lowercase							,      hidden_size=__lowercase							,      num_hidden_layers=__lowercase							,      num_attention_heads=__lowercase							,      intermediate_size=__lowercase							,      hidden_act=__lowercase							,      hidden_dropout_prob=__lowercase							,      attention_probs_dropout_prob=__lowercase							,      max_position_embeddings=__lowercase							,      type_vocab_size=__lowercase							,      initializer_range=__lowercase							,      layer_norm_eps=__lowercase							,      pad_token_id=__lowercase							,      **__lowercase							,      )
										__lowerCAmelCase											=					max_ad_position_embeddings
										__lowerCAmelCase											=					max_rel_pos
										__lowerCAmelCase											=					rel_pos_bins
										__lowerCAmelCase											=					fast_qkv
										__lowerCAmelCase											=					max_rel_ad_pos
										__lowerCAmelCase											=					rel_ad_pos_bins
										__lowerCAmelCase											=					convert_sync_batchnorm
										__lowerCAmelCase											=					image_feature_pool_shape
										__lowerCAmelCase											=					coordinate_size
										__lowerCAmelCase											=					shape_size
										__lowerCAmelCase											=					has_relative_attention_bias
										__lowerCAmelCase											=					has_spatial_attention_bias
										__lowerCAmelCase											=					has_visual_segment_embedding
										__lowerCAmelCase											=					(
										    detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
										)




				@classmethod
				def        _snake_case	(self		):
										return {
										    "MODEL.MASK_ON": True,
										    "MODEL.PIXEL_STD": [5_7.3_7_5, 5_7.1_2_0, 5_8.3_9_5],
										    "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        _snake_case	(self		):
										__lowerCAmelCase											=					detectrona.config.get_cfg()
										for k, v in self.detectrona_config_args.items():
																__lowerCAmelCase											=					k.split('''.'''		)
																__lowerCAmelCase											=					detectrona_config
																for attribute in attributes[:-1]:
																						__lowerCAmelCase											=					getattr(__lowercase							,      __lowercase		)
																setattr(__lowercase							,      attributes[-1]							,      __lowercase		)

										return detectrona_config

