




import numpy as np

def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE="utf-8"				,_SCREAMING_SNAKE_CASE="surrogatepass"					)			->				int:
							lowerCamelCase     :   Optional[int]    				=      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   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE="utf-8"				,_SCREAMING_SNAKE_CASE="surrogatepass"					)			->				Union[str, Any]:
							lowerCamelCase     :   str    				=      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   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				List[Any]:
							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"					)

							lowerCamelCase     :   str    				=      []
							lowerCamelCase     :   Any    				=      []
							lowerCamelCase     :   Optional[int]    				=      [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
							lowerCamelCase     :   List[Any]    				=      []
							# data position template + parity
							lowerCamelCase     :   List[Any]    				=      []
							# parity bit counter
							lowerCamelCase     :   Tuple    				=      0
							# counter position of data bits
							lowerCamelCase     :   Optional[Any]    				=      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"					)
																												lowerCamelCase     :   Tuple    				=      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
							lowerCamelCase     :   Union[str, Any]    				=      0  # parity bit counter
							for bp in range(1				,size_par + 1					):
														# Bit counter one for a given parity
														lowerCamelCase     :   Tuple    				=      0
														# counter to control the loop reading
														lowerCamelCase     :   Any    				=      0
														for x in data_ord:
																					if x is not None:
																												try:
																																			lowerCamelCase     :   List[Any]    				=      (bin_pos[cont_loop])[-1 * (bp)]
																												except IndexError:
																																			lowerCamelCase     :   Optional[Any]    				=      "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     :   Union[str, Any]    				=      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   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				Tuple:
							lowerCamelCase     :   Union[str, Any]    				=      []
							# Parity bit counter
							lowerCamelCase     :   int    				=      0
							# Counter p data bit reading
							lowerCamelCase     :   Tuple    				=      0
							# list of parity received
							lowerCamelCase     :   int    				=      []
							lowerCamelCase     :   Optional[Any]    				=      []

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

							lowerCamelCase     :   List[Any]    				=      parity_received == parity
							return data_output, ack












import os
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
       import torch

       from transformers import GPTaLMHeadModel




@require_torch
@require_sentencepiece
@require_tokenizers
class 	UpperCamelCase__			(unittest.TestCase  ):

    '''simple docstring'''



    @slow
    @unittest.skip("Model is not available."  )
    def 					_lowercase  (					self  )  ->   List[Any]:
           lowerCamelCase     :   List[Any]    				=      "nvidia/megatron-gpt2-345m/"
           if "MYDIR" in os.environ:
                  lowerCamelCase     :   Union[str, Any]    				=      os.path.join(os.environ["MYDIR"]  ,						UpperCamelCase__  )
           lowerCamelCase     :   Any    				=      GPTaLMHeadModel.from_pretrained(UpperCamelCase__  )
           model.to(UpperCamelCase__  )
           model.half()

           lowerCamelCase     :   Dict    				=      torch.tensor(
               [[101, 7110, 1005, 1056, 2023, 1_1333, 1_7413, 1029, 102]]  ,						device=UpperCamelCase__  ,						dtype=torch.long  ,						)

           with torch.no_grad():
                  lowerCamelCase     :   Any    				=      model(UpperCamelCase__  ).logits

           lowerCamelCase     :   Union[str, Any]    				=      torch.Size((1, 9, 5_0257)  )
           self.assertEqual(output.shape  ,						UpperCamelCase__  )

           lowerCamelCase     :   List[str]    				=      torch.tensor(
               [
                   4.9414,
                   -0.2920,
                   -1.2148,
                   -4.0273,
                   -0.5161,
                   -5.2109,
                   -1.2412,
                   -1.8301,
                   -1.7734,
                   -4.7148,
                   -0.2317,
                   -1.0811,
                   -2.1777,
                   0.4141,
                   -3.7969,
                   -4.0586,
                   -2.5332,
                   -3.3809,
                   4.3867,
               ]  ,						device=UpperCamelCase__  ,						dtype=torch.half  ,						)

           for i in range(19  ):
                  lowerCamelCase				,   lowerCamelCase     :   Optional[int]    				=      8 * i // 17, 2792 * i  # along the diagonal
                  lowerCamelCase				,   lowerCamelCase     :   Tuple    				=      output[0, r, c], expected_diag[i]
                  lowerCamelCase     :   List[str]    				=      F'''row={r} col={c} computed={computed} expected={expected}'''
                  self.assertAlmostEqual(UpperCamelCase__  ,						UpperCamelCase__  ,						delta=1e-4  ,						msg=UpperCamelCase__  )






