'''simple docstring'''

import unittest

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


if is_torch_available():
      import torch

      from transformers import XLMProphetNetForConditionalGeneration, XLMProphetNetTokenizer




@require_torch
class    lowerCamelCase__  (   unittest.TestCase     ):



   @slow
   def  _UpperCamelCase		(    self     )				->     Optional[Any]:
        """simple docstring"""





        _UpperCamelCase  :str       =XLMProphetNetForConditionalGeneration.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""     )
        model.to(lowerCAmelCase__     )

        # encoder-decoder outputs
        _UpperCamelCase  :Dict       =torch.tensor([[17, 96_208, 103_471, 2]]     ).to(lowerCAmelCase__     )
        _UpperCamelCase  :int       =torch.tensor(
            [[2, 250, 9_953, 34, 69_489, 1_620, 32, 118_424, 624, 210, 105, 2_913, 1_032, 351]]     ).to(lowerCAmelCase__     )
        _UpperCamelCase  :List[Any]       =model(
            input_ids=lowerCAmelCase__					,      attention_mask=lowerCAmelCase__					,      encoder_outputs=lowerCAmelCase__					,      decoder_input_ids=lowerCAmelCase__     )
        _UpperCamelCase  :Any       =output[0]
        _UpperCamelCase  :Optional[Any]       =torch.Size((1, 14, 250_012)     )
        self.assertEqual(output_predited_logis.shape					,      lowerCAmelCase__     )
        _UpperCamelCase  :int       =torch.tensor(
            [[[-6.3986, -8.2391, 12.5189], [-6.3289, -8.0864, 12.6211], [-6.2418, -8.0445, 12.7968]]]     ).to(lowerCAmelCase__     )
        self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3]					,      lowerCAmelCase__					,      atol=1e-4     )     )

        # encoder outputs
        _UpperCamelCase  :List[Any]       =model.prophetnet.encoder(lowerCAmelCase__     )[0]
        _UpperCamelCase  :Union[str, Any]       =torch.tensor(
            [[[-1.4260, -0.7628, 0.8453], [-1.4719, -0.1391, 0.7807], [-1.7678, 0.0114, 0.4646]]]     ).to(lowerCAmelCase__     )
        _UpperCamelCase  :Union[str, Any]       =torch.Size((1, 4, 1_024)     )
        self.assertEqual(encoder_outputs.shape					,      lowerCAmelCase__     )
        self.assertTrue(torch.allclose(encoder_outputs[:, :3, :3]					,      lowerCAmelCase__					,      atol=1e-4     )     )

        # decoder outputs
        _UpperCamelCase  :Tuple       =model.prophetnet.decoder(
            lowerCAmelCase__					,      encoder_hidden_states=lowerCAmelCase__					,      )
        _UpperCamelCase  :Any       =decoder_outputs[1].view(1					,      model.config.ngram					,      14					,      -1     )
        _UpperCamelCase  :Any       =model.lm_head(lowerCAmelCase__     )
        _UpperCamelCase  :Union[str, Any]       =predicting_streams_logits[:, 0]
        self.assertTrue(torch.allclose(next_first_stream_logits[:, :3, :3]					,      lowerCAmelCase__					,      atol=1e-4     )     )



   @slow
   def  _UpperCamelCase		(    self     )				->     List[Any]:
        """simple docstring"""





        _UpperCamelCase  :List[Any]       =XLMProphetNetForConditionalGeneration.from_pretrained(
            """microsoft/xprophetnet-large-wiki100-cased-xglue-ntg"""     )
        model.to(lowerCAmelCase__     )

        _UpperCamelCase  :Union[str, Any]       =torch.tensor([[17, 96_208, 103_471, 2]]     ).to(lowerCAmelCase__     )
        _UpperCamelCase  :Optional[int]       =torch.tensor(
            [[2, 250, 9_953, 34, 69_489, 1_620, 32, 118_424, 624, 210, 105, 2_913, 1_032, 351]]     ).to(lowerCAmelCase__     )
        _UpperCamelCase  :Tuple       =model(
            input_ids=lowerCAmelCase__					,      attention_mask=lowerCAmelCase__					,      encoder_outputs=lowerCAmelCase__					,      decoder_input_ids=lowerCAmelCase__     )
        _UpperCamelCase  :Optional[Any]       =output[0]
        _UpperCamelCase  :List[str]       =torch.Size((1, 14, 250_012)     )
        self.assertEqual(output_predited_logis.shape					,      lowerCAmelCase__     )
        # compare the actual values for a slice.
        _UpperCamelCase  :List[str]       =torch.tensor(
            [[[-9.2253, -9.7173, -6.3529], [-7.6701, -9.0145, -1.9382], [-8.0195, -7.0004, -0.1523]]]     ).to(lowerCAmelCase__     )

        self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3]					,      lowerCAmelCase__					,      atol=1e-4     )     )




   @slow
   def  _UpperCamelCase		(    self     )				->     Tuple:
        """simple docstring"""





        _UpperCamelCase  :Any       =XLMProphetNetForConditionalGeneration.from_pretrained(
            """microsoft/xprophetnet-large-wiki100-cased-xglue-ntg"""     )
        model.to(lowerCAmelCase__     )
        _UpperCamelCase  :str       =512

        _UpperCamelCase  :str       =XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased-xglue-ntg"""     )

        _UpperCamelCase  :Tuple       =(
            """Microsoft Corporation intends to officially end free support for the Windows 7 operating system after"""
            """ January 14, 2020, according to the official portal of the organization. From that day, users of this"""
            """ system will not be able to receive security updates, which could make their computers vulnerable to"""
            """ cyber attacks."""
        )
        _UpperCamelCase  :Any       =(
            """орпорация Microsoft намерена официально прекратить бесплатную поддержку операционной системы Windows 7"""
            """ после 14 января 2020 года, сообщается на официальном портале организации . С указанного дня пользователи"""
            """ этой системы не смогут получать обновления безопасности, из-за чего их компьютеры могут стать уязвимыми"""
            """ к кибератакам."""
        )
        _UpperCamelCase  :Optional[Any]       =(
            """根据该组织的官方门户网站，微软公司打算在2020年1月14日之后正式终止对Windows 7操作系统的免费支持。从那时起，该系统的用户将无法接收安全更新，这可能会使他们的计算机容易受到网络攻击。"""
        )

        _UpperCamelCase  :str       =tokenizer(
            [EN_SENTENCE, RU_SENTENCE, ZH_SENTENCE]					,      padding=lowerCAmelCase__					,      max_length=255					,      return_tensors="""pt"""     ).input_ids
        _UpperCamelCase  :List[Any]       =input_ids.to(lowerCAmelCase__     )

        _UpperCamelCase  :Optional[Any]       =model.generate(
            lowerCAmelCase__					,      num_beams=10					,      length_penalty=1.0					,      no_repeat_ngram_size=3					,      early_stopping=lowerCAmelCase__     )
        _UpperCamelCase  :Tuple       =[tokenizer.decode(lowerCAmelCase__					,      skip_special_tokens=lowerCAmelCase__     ) for g in summary_ids]
        _UpperCamelCase  :Tuple       ="""Microsoft to end Windows 7 free support after January 14, 2020"""
        _UpperCamelCase  :Tuple       ="""Microsoft намерена прекратить бесплатную поддержку Windows 7 после 14 января 2020 года"""
        _UpperCamelCase  :List[str]       ="""微软打算终止对Windows 7操作系统的免费支持"""
        self.assertListEqual(
            [EXPECTED_TITLE_EN, EXPECTED_TITLE_RU, EXPECTED_TITLE_ZH]					,      lowerCAmelCase__					,      )

        _UpperCamelCase  :Union[str, Any]       =model.generate(
            lowerCAmelCase__					,      num_beams=1					,      length_penalty=1.0					,      no_repeat_ngram_size=3					,      early_stopping=lowerCAmelCase__     )
        _UpperCamelCase  :Union[str, Any]       =[
            tokenizer.convert_ids_to_tokens(lowerCAmelCase__					,      skip_special_tokens=lowerCAmelCase__     ) for g in summary_ids_beama
        ]
        _UpperCamelCase  :Dict       ="""▁Microsoft ▁to ▁end ▁free ▁support ▁for ▁Windows ▁7""".split(""" """     )
        _UpperCamelCase  :List[str]       ="""▁Microsoft ▁намерен а ▁прекрати ть ▁бес плат ную ▁поддержку ▁Windows ▁7 ▁после ▁14 ▁января ▁2020 ▁года""".split(
            """ """     )
        _UpperCamelCase  :List[Any]       ="""微软 公司 打算 终止 对 Windows ▁7 操作 系统的 免费 支持""".split(""" """     )
        self.assertListEqual(
            [EXPECTED_TITLE_EN_BEAM1_TOK, EXPECTED_TITLE_RU_BEAM1_TOK, EXPECTED_TITLE_ZH_BEAM1_TOK]					,      lowerCAmelCase__					,      )


from __future__ import annotations





def  _snake_case		(snake_case_					:     int  )							->		int | None:
  for r in range(1    ,       snake_case_  ):
    __UpperCAmelCase	:  List[str]		=     []
    for x in range(n - 1  ):
      __UpperCAmelCase	:  Union[str, Any]		=     pow(snake_case_    ,       snake_case_    ,       snake_case_  )
      if val in li:
        break
      li.append(snake_case_  )
    else:
      return r
  return None


if __name__ == "__main__":
      _SCREAMING_SNAKE_CASE							 =			int(input('''Enter a prime number q: '''))
      _SCREAMING_SNAKE_CASE							 =			find_primitive(q)
      if a is None:
            print(F'''Cannot find the primitive for the value: {a!r}''')
      else:
            _SCREAMING_SNAKE_CASE							 =			int(input('''Enter private key of A: '''))
            _SCREAMING_SNAKE_CASE							 =			pow(a, a_private, q)
            _SCREAMING_SNAKE_CASE							 =			int(input('''Enter private key of B: '''))
            _SCREAMING_SNAKE_CASE							 =			pow(a, b_private, q)

            _SCREAMING_SNAKE_CASE							 =			pow(b_public, a_private, q)
            _SCREAMING_SNAKE_CASE							 =			pow(a_public, b_private, q)

            print('''The key value generated by A is: ''', a_secret)
            print('''The key value generated by B is: ''', b_secret)





