




'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

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


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

_lowerCamelCase				:		Any				      =    {
    'google/mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'
}





class 	lowerCamelCase_				(			UpperCAmelCase_				):




					'''simple docstring'''






					lowercase__       =					MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
					lowercase__       =					"""mobilebert"""






					def __init__(       self,    __UpperCamelCase=30_522,    __UpperCamelCase=512,    __UpperCamelCase=24,    __UpperCamelCase=4,    __UpperCamelCase=512,    __UpperCamelCase="relu",    __UpperCamelCase=0.0,    __UpperCamelCase=0.1,    __UpperCamelCase=512,    __UpperCamelCase=2,    __UpperCamelCase=0.02,    __UpperCamelCase=1E-12,    __UpperCamelCase=0,    __UpperCamelCase=128,    __UpperCamelCase=True,    __UpperCamelCase=True,    __UpperCamelCase=128,    __UpperCamelCase=False,    __UpperCamelCase=True,    __UpperCamelCase=4,    __UpperCamelCase="no_norm",    __UpperCamelCase=True,    __UpperCamelCase=None,    **__UpperCamelCase,    ):
							super().__init__(pad_token_id=__UpperCamelCase,    **__UpperCamelCase					)

							_snake_case      			=			vocab_size
							_snake_case      			=			hidden_size
							_snake_case      			=			num_hidden_layers
							_snake_case      			=			num_attention_heads
							_snake_case      			=			hidden_act
							_snake_case      			=			intermediate_size
							_snake_case      			=			hidden_dropout_prob
							_snake_case      			=			attention_probs_dropout_prob
							_snake_case      			=			max_position_embeddings
							_snake_case      			=			type_vocab_size
							_snake_case      			=			initializer_range
							_snake_case      			=			layer_norm_eps
							_snake_case      			=			embedding_size
							_snake_case      			=			trigram_input
							_snake_case      			=			use_bottleneck
							_snake_case      			=			intra_bottleneck_size
							_snake_case      			=			use_bottleneck_attention
							_snake_case      			=			key_query_shared_bottleneck
							_snake_case      			=			num_feedforward_networks
							_snake_case      			=			normalization_type
							_snake_case      			=			classifier_activation

							if self.use_bottleneck:
									_snake_case      			=			intra_bottleneck_size
							else:
									_snake_case      			=			hidden_size

							_snake_case      			=			classifier_dropout





class 	lowerCamelCase_				(			UpperCAmelCase_				):




					'''simple docstring'''






					@property
					def 							__SCREAMING_SNAKE_CASE      (       self					):
							if self.task == "multiple-choice":
									_snake_case      			=			{0: "batch", 1: "choice", 2: "sequence"}
							else:
									_snake_case      			=			{0: "batch", 1: "sequence"}
							return OrderedDict(
							    [
							        ("input_ids", dynamic_axis),
							        ("attention_mask", dynamic_axis),
							        ("token_type_ids", dynamic_axis),
							    ]					)











'''simple docstring'''







import numpy as np






def 						_lowercase						(      lowercase_		,				lowercase_="utf-8"		,				lowercase_="surrogatepass"    ):



		'''simple docstring'''







		_snake_case      			=			bin(int.from_bytes(text.encode(lowercase_		,				lowercase_    )		,				"big"    )    )[2:]
		return bits.zfill(8 * ((len(lowercase_    ) + 7) // 8)    )






def 						_lowercase						(      lowercase_		,				lowercase_="utf-8"		,				lowercase_="surrogatepass"    ):



		'''simple docstring'''







		_snake_case      			=			int(lowercase_		,				2    )
		return n.to_bytes((n.bit_length() + 7) // 8		,				"big"    ).decode(lowercase_		,				lowercase_    ) or "\0"






def 						_lowercase						(      lowercase_		,				lowercase_    ):



		'''simple docstring'''







		if size_par + len(lowercase_    ) <= 2**size_par - (len(lowercase_    ) - 1):
				raise ValueError("size of parity don't match with size of data"    )

		_snake_case      			=			[]
		_snake_case      			=			[]
		_snake_case      			=			[bin(lowercase_    )[2:] for x in range(1		,				size_par + len(lowercase_    ) + 1    )]

		# sorted information data for the size of the output data
		_snake_case      			=			[]
		# data position template + parity
		_snake_case      			=			[]
		# parity bit counter
		_snake_case      			=			0
		# counter position of data bits
		_snake_case      			=			0

		for x in range(1		,				size_par + len(lowercase_    ) + 1    ):
				# Performs a template of bit positions - who should be given,
				# and who should be parity
				if qtd_bp < size_par:
						if (np.log(lowercase_    ) / np.log(2    )).is_integer():
								data_out_gab.append("P"    )
								_snake_case      			=			qtd_bp + 1
						else:
								data_out_gab.append("D"    )
				else:
						data_out_gab.append("D"    )

				# Sorts the data to the new output size
				if data_out_gab[-1] == "D":
						data_ord.append(data[cont_data]    )
						cont_data += 1
				else:
						data_ord.append(lowercase_    )

    # Calculates parity
		_snake_case      			=			0  # parity bit counter
		for bp in range(1		,				size_par + 1    ):
				# Bit counter one for a given parity
				_snake_case      			=			0
				# counter to control the loop reading
				_snake_case      			=			0
				for x in data_ord:
						if x is not None:
								try:
										_snake_case      			=			(bin_pos[cont_loop])[-1 * (bp)]
								except IndexError:
										_snake_case      			=			"0"
								if aux == "1" and x == "1":
										cont_bo += 1
						cont_loop += 1
				parity.append(cont_bo % 2    )

				qtd_bp += 1

		# Mount the message
		_snake_case      			=			0  # parity bit counter
		for x in range(0		,				size_par + len(lowercase_    )    ):
				if data_ord[x] is None:
						data_out.append(str(parity[cont_bp]    )    )
						cont_bp += 1
				else:
						data_out.append(data_ord[x]    )

		return data_out






def 						_lowercase						(      lowercase_		,				lowercase_    ):



		'''simple docstring'''







		_snake_case      			=			[]
		# Parity bit counter
		_snake_case      			=			0
		# Counter p data bit reading
		_snake_case      			=			0
		# list of parity received
		_snake_case      			=			[]
		_snake_case      			=			[]

		for x in range(1		,				len(lowercase_    ) + 1    ):
				# Performs a template of bit positions - who should be given,
				#  and who should be parity
				if qtd_bp < size_par and (np.log(lowercase_    ) / np.log(2    )).is_integer():
						data_out_gab.append("P"    )
						_snake_case      			=			qtd_bp + 1
				else:
						data_out_gab.append("D"    )

				# Sorts the data to the new output size
				if data_out_gab[-1] == "D":
						data_output.append(data[cont_data]    )
				else:
						parity_received.append(data[cont_data]    )
				cont_data += 1

		# -----------calculates the parity with the data
		_snake_case      			=			[]
		_snake_case      			=			[]
		_snake_case      			=			[bin(lowercase_    )[2:] for x in range(1		,				size_par + len(lowercase_    ) + 1    )]

		#  sorted information data for the size of the output data
		_snake_case      			=			[]
		# Data position feedback + parity
		_snake_case      			=			[]
		# Parity bit counter
		_snake_case      			=			0
		# Counter p data bit reading
		_snake_case      			=			0

		for x in range(1		,				size_par + len(lowercase_    ) + 1    ):
				# Performs a template position of bits - who should be given,
				# and who should be parity
				if qtd_bp < size_par and (np.log(lowercase_    ) / np.log(2    )).is_integer():
						data_out_gab.append("P"    )
						_snake_case      			=			qtd_bp + 1
				else:
						data_out_gab.append("D"    )

				# Sorts the data to the new output size
				if data_out_gab[-1] == "D":
						data_ord.append(data_output[cont_data]    )
						cont_data += 1
				else:
						data_ord.append(lowercase_    )

    # Calculates parity
		_snake_case      			=			0  # parity bit counter
		for bp in range(1		,				size_par + 1    ):
				# Bit counter one for a certain parity
				_snake_case      			=			0
				# Counter to control loop reading
				_snake_case      			=			0
				for x in data_ord:
						if x is not None:
								try:
										_snake_case      			=			(bin_pos[cont_loop])[-1 * (bp)]
								except IndexError:
										_snake_case      			=			"0"
								if aux == "1" and x == "1":
										cont_bo += 1
						cont_loop += 1
				parity.append(str(cont_bo % 2    )    )

				qtd_bp += 1

		# Mount the message
		_snake_case      			=			0  # Parity bit counter
		for x in range(0		,				size_par + len(lowercase_    )    ):
				if data_ord[x] is None:
						data_out.append(str(parity[cont_bp]    )    )
						cont_bp += 1
				else:
						data_out.append(data_ord[x]    )

		_snake_case      			=			parity_received == parity
		return data_output, ack





