
"""simple docstring"""
import numpy as np


def      lowerCamelCase_     (						lowerCamelCase_						,					lowerCamelCase_="utf-8"						,					lowerCamelCase_="surrogatepass"			)  ->      List[str]:


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


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


					'''simple docstring'''
					__a:    List[Any]		     =       int(lowerCamelCase_						,					2			)
					return n.to_bytes((n.bit_length() + 7) // 8						,					"""big"""			).decode(lowerCamelCase_						,					lowerCamelCase_			) or "\0"


def      lowerCamelCase_     (						lowerCamelCase_						,					lowerCamelCase_			)  ->      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"""			)

					__a:    Union[str, Any]		     =       []
					__a:    Optional[int]		     =       []
					__a:    Union[str, Any]		     =       [bin(lowerCamelCase_			)[2:] for x in range(1						,					size_par + len(lowerCamelCase_			) + 1			)]

					# sorted information data for the size of the output data
					__a:    Optional[int]		     =       []
					# data position template + parity
					__a:    List[str]		     =       []
					# parity bit counter
					__a:    Tuple		     =       0
					# counter position of data bits
					__a:    Union[str, Any]		     =       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"""			)
																				__a:    Optional[int]		     =       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
					__a:    List[Any]		     =       0  # parity bit counter
					for bp in range(1						,					size_par + 1			):
										# Bit counter one for a given parity
										__a:    Tuple		     =       0
										# counter to control the loop reading
										__a:    Dict		     =       0
										for x in data_ord:
															if x is not None:
																				try:
																									__a:    Dict		     =       (bin_pos[cont_loop])[-1 * (bp)]
																				except IndexError:
																									__a:    Optional[int]		     =       """0"""
																				if aux == "1" and x == "1":
																									cont_bo += 1
															cont_loop += 1
										parity.append(cont_bo % 2			)

										qtd_bp += 1

					# Mount the message
					__a:    Any		     =       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      lowerCamelCase_     (						lowerCamelCase_						,					lowerCamelCase_			)  ->      Tuple:


					'''simple docstring'''
					__a:    Any		     =       []
					# Parity bit counter
					__a:    List[Any]		     =       0
					# Counter p data bit reading
					__a:    int		     =       0
					# list of parity received
					__a:    List[str]		     =       []
					__a:    Union[str, Any]		     =       []

					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"""			)
															__a:    str		     =       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
					__a:    Tuple		     =       []
					__a:    Dict		     =       []
					__a:    Tuple		     =       [bin(lowerCamelCase_			)[2:] for x in range(1						,					size_par + len(lowerCamelCase_			) + 1			)]

					#  sorted information data for the size of the output data
					__a:    List[Any]		     =       []
					# Data position feedback + parity
					__a:    List[Any]		     =       []
					# Parity bit counter
					__a:    Tuple		     =       0
					# Counter p data bit reading
					__a:    List[Any]		     =       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"""			)
															__a:    Any		     =       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
					__a:    List[str]		     =       0  # parity bit counter
					for bp in range(1						,					size_par + 1			):
										# Bit counter one for a certain parity
										__a:    str		     =       0
										# Counter to control loop reading
										__a:    str		     =       0
										for x in data_ord:
															if x is not None:
																				try:
																									__a:    Dict		     =       (bin_pos[cont_loop])[-1 * (bp)]
																				except IndexError:
																									__a:    int		     =       """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
					__a:    Any		     =       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]			)

					__a:    Tuple		     =       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]]
