import numpy as np
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase="utf-8"			,    __UpperCAmelCase="surrogatepass"		)    ->     List[str]:



      '''simple docstring'''

      _lowerCamelCase           =					bin(int.from_bytes(text.encode(lowerCamelCase_			,    lowerCamelCase_		)			,    '''big'''		)		)[2:]
      return bits.zfill(8 * ((len(lowerCamelCase_		) + 7) // 8)		)
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase="utf-8"			,    __UpperCAmelCase="surrogatepass"		)    ->     int:



      '''simple docstring'''

      _lowerCamelCase           =					int(lowerCamelCase_			,    2		)
      return n.to_bytes((n.bit_length() + 7) // 8			,    '''big'''		).decode(lowerCamelCase_			,    lowerCamelCase_		) or "\0"
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     Dict:



      '''simple docstring'''

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

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

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

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

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

            qtd_bp += 1

      # Mount the message
      _lowerCamelCase           =					0  # parity bit counter
      for x in range(0			,    size_par + len(lowerCamelCase_		)		):
            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    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     Tuple:



      '''simple docstring'''

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

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

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

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

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

      _lowerCamelCase           =					parity_received == parity
      return data_output, ack

"""simple docstring"""
import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property




class  _snake_case	(    unittest.TestCase							):






							@cached_property
							def 				__lowercase	(       self    :      str     ):






												"""simple docstring"""



												return BlenderbotTokenizer.from_pretrained("""facebook/blenderbot-3B"""     )






							@cached_property
							def 				__lowercase	(       self    :      str     ):






												"""simple docstring"""



												return BlenderbotTokenizerFast.from_pretrained("""facebook/blenderbot-3B"""     )






							def 				__lowercase	(       self    :      int     ):






												"""simple docstring"""



												__a:    Optional[int]		     =       self.tokenizer_ab
												__a:    Union[str, Any]		     =       """ I am a small frog."""
												__a:    str		     =       tok([src_text]    ,			padding=snake_case__    ,			truncation=snake_case__     )["""input_ids"""]
												__a:    Optional[Any]		     =       tok.batch_decode(snake_case__    ,			skip_special_tokens=snake_case__    ,			clean_up_tokenization_spaces=snake_case__     )[0]
												assert src_text == decoded






							def 				__lowercase	(       self    :      List[Any]     ):






												"""simple docstring"""



												__a:    str		     =       self.rust_tokenizer_ab
												__a:    Optional[Any]		     =       """ I am a small frog."""
												__a:    str		     =       tok([src_text]    ,			padding=snake_case__    ,			truncation=snake_case__     )["""input_ids"""]
												__a:    Union[str, Any]		     =       tok.batch_decode(snake_case__    ,			skip_special_tokens=snake_case__    ,			clean_up_tokenization_spaces=snake_case__     )[0]
												assert src_text == decoded






							def 				__lowercase	(       self    :      List[str]     ):






												"""simple docstring"""



												assert self.tokenizer_ab.add_prefix_space
												assert self.tokenizer_ab([""" Sam""", """Sam"""]     ).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]






							def 				__lowercase	(       self    :      Any     ):






												"""simple docstring"""



												assert self.rust_tokenizer_ab.add_prefix_space
												assert self.rust_tokenizer_ab([""" Sam""", """Sam"""]     ).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]
