import numpy as np





def  lowercase(  UpperCamelCase_       ,				UpperCamelCase_="utf-8"       ,				UpperCamelCase_="surrogatepass"					)		->  int:







	'''simple docstring'''
	UpperCamelCase      =			bin(int.from_bytes(text.encode(__snake_case       ,				__snake_case					)       ,				"""big"""					)					)[2:]
	return bits.zfill(8 * ((len(__snake_case					) + 7) // 8)					)





def  lowercase(  UpperCamelCase_       ,				UpperCamelCase_="utf-8"       ,				UpperCamelCase_="surrogatepass"					)		->  int:







	'''simple docstring'''
	UpperCamelCase      =			int(__snake_case       ,				2					)
	return n.to_bytes((n.bit_length() + 7) // 8       ,				"""big"""					).decode(__snake_case       ,				__snake_case					) or "\0"





def  lowercase(  UpperCamelCase_       ,				UpperCamelCase_					)		->  Tuple:







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

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

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

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

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

		qtd_bp += 1

	# Mount the message
	UpperCamelCase      =			0  # parity bit counter
	for x in range(0       ,				size_par + len(__snake_case					)					):
		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(  UpperCamelCase_       ,				UpperCamelCase_					)		->  Optional[int]:







	'''simple docstring'''
	UpperCamelCase      =			[]
	# Parity bit counter
	UpperCamelCase      =			0
	# Counter p data bit reading
	UpperCamelCase      =			0
	# list of parity received
	UpperCamelCase      =			[]
	UpperCamelCase      =			[]

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

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

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

		# Calculates parity
	UpperCamelCase      =			0  # parity bit counter
	for bp in range(1       ,				size_par + 1					):
		# Bit counter one for a certain parity
		UpperCamelCase      =			0
		# Counter to control loop reading
		UpperCamelCase      =			0
		for x in data_ord:
			if x is not None:
				try:
					UpperCamelCase      =			(bin_pos[cont_loop])[-1 * (bp)]
				except IndexError:
					UpperCamelCase      =			"""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
	UpperCamelCase      =			0  # Parity bit counter
	for x in range(0       ,				size_par + len(__snake_case					)					):
		if data_ord[x] is None:
			data_out.append(str(parity[cont_bp]					)					)
			cont_bp += 1
		else:
			data_out.append(data_ord[x]					)

	UpperCamelCase      =			parity_received == parity
	return data_output, ack

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE   		=			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   		=			{
    """tau/splinter-base""": """https://huggingface.co/tau/splinter-base/resolve/main/config.json""",
    """tau/splinter-base-qass""": """https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json""",
    """tau/splinter-large""": """https://huggingface.co/tau/splinter-large/resolve/main/config.json""",
    """tau/splinter-large-qass""": """https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json""",
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}
class SCREAMING_SNAKE_CASE_		(			__lowerCAmelCase		):
   __lowerCAmelCase											=							"""splinter"""







   def __init__(    self	:	List[Any]      ,      lowerCamelCase_	:	int=3_0522      ,      lowerCamelCase_	:	Any=768      ,      lowerCamelCase_	:	List[Any]=12      ,      lowerCamelCase_	:	Tuple=12      ,      lowerCamelCase_	:	Tuple=3072      ,      lowerCamelCase_	:	Any="gelu"      ,      lowerCamelCase_	:	Union[str, Any]=0.1      ,      lowerCamelCase_	:	str=0.1      ,      lowerCamelCase_	:	int=512      ,      lowerCamelCase_	:	List[Any]=2      ,      lowerCamelCase_	:	List[Any]=0.0_2      ,      lowerCamelCase_	:	Dict=1E-12      ,      lowerCamelCase_	:	Tuple=True      ,      lowerCamelCase_	:	str=0      ,      lowerCamelCase_	:	Any=104      ,      **lowerCamelCase_	:	Dict      ,      ):





    """simple docstring"""


    super().__init__(pad_token_id=lowerCamelCase_      ,      **lowerCamelCase_							)

    UpperCamelCase      =			vocab_size
    UpperCamelCase      =			max_position_embeddings
    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      =			initializer_range
    UpperCamelCase      =			type_vocab_size
    UpperCamelCase      =			layer_norm_eps
    UpperCamelCase      =			use_cache
    UpperCamelCase      =			question_token_id
