
import numpy as np




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  Any		,      SCREAMING_SNAKE_CASE_  :  Dict="utf-8"		,      SCREAMING_SNAKE_CASE_  :  List[Any]="surrogatepass"					)     ->    Any:
      _lowercase									=				bin(int.from_bytes(text.encode(SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_					)		,      """big"""					)					)[2:]
      return bits.zfill(8 * ((len(SCREAMING_SNAKE_CASE_					) + 7) // 8)					)




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  Dict		,      SCREAMING_SNAKE_CASE_  :  Tuple="utf-8"		,      SCREAMING_SNAKE_CASE_  :  List[str]="surrogatepass"					)     ->    Any:
      _lowercase									=				int(SCREAMING_SNAKE_CASE_		,      2					)
      return n.to_bytes((n.bit_length() + 7) // 8		,      """big"""					).decode(SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_					) or "\0"




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  Optional[int]		,      SCREAMING_SNAKE_CASE_  :  List[str]					)     ->    Optional[int]:
      if size_par + len(SCREAMING_SNAKE_CASE_					) <= 2**size_par - (len(SCREAMING_SNAKE_CASE_					) - 1):
            raise ValueError("""size of parity don't match with size of data"""					)

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

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

      for x in range(1		,      size_par + len(SCREAMING_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(SCREAMING_SNAKE_CASE_					) / np.log(2					)).is_integer():
                        data_out_gab.append("""P"""					)
                        _lowercase									=				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(SCREAMING_SNAKE_CASE_					)

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

            qtd_bp += 1

      # Mount the message
      _lowercase									=				0  # parity bit counter
      for x in range(0		,      size_par + len(SCREAMING_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   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  Dict		,      SCREAMING_SNAKE_CASE_  :  int					)     ->    Optional[int]:
      _lowercase									=				[]
      # Parity bit counter
      _lowercase									=				0
      # Counter p data bit reading
      _lowercase									=				0
      # list of parity received
      _lowercase									=				[]
      _lowercase									=				[]

      for x in range(1		,      len(SCREAMING_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(SCREAMING_SNAKE_CASE_					) / np.log(2					)).is_integer():
                  data_out_gab.append("""P"""					)
                  _lowercase									=				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
      _lowercase									=				[]
      _lowercase									=				[]
      _lowercase									=				[bin(SCREAMING_SNAKE_CASE_					)[2:] for x in range(1		,      size_par + len(SCREAMING_SNAKE_CASE_					) + 1					)]

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

      for x in range(1		,      size_par + len(SCREAMING_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(SCREAMING_SNAKE_CASE_					) / np.log(2					)).is_integer():
                  data_out_gab.append("""P"""					)
                  _lowercase									=				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(SCREAMING_SNAKE_CASE_					)

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

      _lowercase									=				parity_received == parity
      return data_output, ack

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A		:   int         =    {'''configuration_vilt''': ['''VILT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViltConfig''']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A		:   int         =    ['''ViltFeatureExtractor''']
		A		:   List[Any]         =    ['''ViltImageProcessor''']
		A		:   Dict         =    ['''ViltProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A		:   Tuple         =    [
		    '''VILT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''ViltForImageAndTextRetrieval''',
		    '''ViltForImagesAndTextClassification''',
		    '''ViltForTokenClassification''',
		    '''ViltForMaskedLM''',
		    '''ViltForQuestionAnswering''',
		    '''ViltLayer''',
		    '''ViltModel''',
		    '''ViltPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_vilt import ViltFeatureExtractor
				from .image_processing_vilt import ViltImageProcessor
				from .processing_vilt import ViltProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vilt import (
				    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViltForImageAndTextRetrieval,
				    ViltForImagesAndTextClassification,
				    ViltForMaskedLM,
				    ViltForQuestionAnswering,
				    ViltForTokenClassification,
				    ViltLayer,
				    ViltModel,
				    ViltPreTrainedModel,
				)


else:
		import sys

		A		:   Dict         =    _LazyModule(__name__, globals()['''__file__'''], _import_structure)