

"""simple docstring"""





import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


_a							=							get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
   from transformers.models.mbart.modeling_mbart import shift_tokens_right

_a							=							25_00_04
_a							=							25_00_20




@require_sentencepiece
@require_tokenizers
class  _lowerCAmelCase  (     lowercase					,unittest.TestCase       ):







 """simple docstring"""







 __UpperCAmelCase     : Any       		=     MBartTokenizer
 __UpperCAmelCase     : Optional[Any]       		=     MBartTokenizerFast
 __UpperCAmelCase     : Optional[Any]       		=     True
 __UpperCAmelCase     : Optional[int]       		=     True


 def  _lowercase			(      self							:      Optional[int]     ):
    super().setUp()

    # We have a SentencePiece fixture for testing
    __lowercase								=						MBartTokenizer(UpperCAmelCase__, keep_accents=UpperCAmelCase__     )
    tokenizer.save_pretrained(self.tmpdirname     )


 def  _lowercase			(      self							:      Optional[int]     ):
    __lowercase								=						MBartTokenizer(UpperCAmelCase__, keep_accents=UpperCAmelCase__     )

    __lowercase								=						tokenizer.tokenize("This is a test"     )
    self.assertListEqual(UpperCAmelCase__, ["▁This", "▁is", "▁a", "▁t", "est"]     )

    self.assertListEqual(
        tokenizer.convert_tokens_to_ids(UpperCAmelCase__     ), [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]], )

    __lowercase								=						tokenizer.tokenize("I was born in 92000, and this is falsé."     )
    self.assertListEqual(
        UpperCAmelCase__, [
            SPIECE_UNDERLINE + "I",
            SPIECE_UNDERLINE + "was",
            SPIECE_UNDERLINE + "b",
            "or",
            "n",
            SPIECE_UNDERLINE + "in",
            SPIECE_UNDERLINE + "",
            "9",
            "2",
            "0",
            "0",
            "0",
            ",",
            SPIECE_UNDERLINE + "and",
            SPIECE_UNDERLINE + "this",
            SPIECE_UNDERLINE + "is",
            SPIECE_UNDERLINE + "f",
            "al",
            "s",
            "é",
            ".",
        ], )
    __lowercase								=						tokenizer.convert_tokens_to_ids(UpperCAmelCase__     )
    self.assertListEqual(
        UpperCAmelCase__, [
            value + tokenizer.fairseq_offset
            for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
            #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
        ], )

    __lowercase								=						tokenizer.convert_ids_to_tokens(UpperCAmelCase__     )
    self.assertListEqual(
        UpperCAmelCase__, [
            SPIECE_UNDERLINE + "I",
            SPIECE_UNDERLINE + "was",
            SPIECE_UNDERLINE + "b",
            "or",
            "n",
            SPIECE_UNDERLINE + "in",
            SPIECE_UNDERLINE + "",
            "<unk>",
            "2",
            "0",
            "0",
            "0",
            ",",
            SPIECE_UNDERLINE + "and",
            SPIECE_UNDERLINE + "this",
            SPIECE_UNDERLINE + "is",
            SPIECE_UNDERLINE + "f",
            "al",
            "s",
            "<unk>",
            ".",
        ], )



 def  _lowercase			(      self							:      List[Any]     ):
    if not self.test_slow_tokenizer:
       # as we don't have a slow version, we can't compare the outputs between slow and fast versions
       return

    __lowercase								=						(self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart", {})
    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""     ):
          __lowercase								=						self.rust_tokenizer_class.from_pretrained(UpperCAmelCase__, **UpperCAmelCase__     )
          __lowercase								=						self.tokenizer_class.from_pretrained(UpperCAmelCase__, **UpperCAmelCase__     )

          __lowercase								=						tempfile.mkdtemp()

          __lowercase								=						tokenizer_r.save_pretrained(UpperCAmelCase__     )
          __lowercase								=						tokenizer_p.save_pretrained(UpperCAmelCase__     )

          # Checks it save with the same files + the tokenizer.json file for the fast one
          self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files     )     )
          __lowercase								=						tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f     )
          self.assertSequenceEqual(UpperCAmelCase__, UpperCAmelCase__     )

          # Checks everything loads correctly in the same way
          __lowercase								=						tokenizer_r.from_pretrained(UpperCAmelCase__     )
          __lowercase								=						tokenizer_p.from_pretrained(UpperCAmelCase__     )

          # Check special tokens are set accordingly on Rust and Python
          for key in tokenizer_pp.special_tokens_map:
             self.assertTrue(hasattr(UpperCAmelCase__, UpperCAmelCase__     )     )
             # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
             # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

          shutil.rmtree(UpperCAmelCase__     )

          # Save tokenizer rust, legacy_format=True
          __lowercase								=						tempfile.mkdtemp()

          __lowercase								=						tokenizer_r.save_pretrained(UpperCAmelCase__, legacy_format=UpperCAmelCase__     )
          __lowercase								=						tokenizer_p.save_pretrained(UpperCAmelCase__     )

          # Checks it save with the same files
          self.assertSequenceEqual(UpperCAmelCase__, UpperCAmelCase__     )

          # Checks everything loads correctly in the same way
          __lowercase								=						tokenizer_r.from_pretrained(UpperCAmelCase__     )
          __lowercase								=						tokenizer_p.from_pretrained(UpperCAmelCase__     )

          # Check special tokens are set accordingly on Rust and Python
          for key in tokenizer_pp.special_tokens_map:
             self.assertTrue(hasattr(UpperCAmelCase__, UpperCAmelCase__     )     )

          shutil.rmtree(UpperCAmelCase__     )

          # Save tokenizer rust, legacy_format=False
          __lowercase								=						tempfile.mkdtemp()

          __lowercase								=						tokenizer_r.save_pretrained(UpperCAmelCase__, legacy_format=UpperCAmelCase__     )
          __lowercase								=						tokenizer_p.save_pretrained(UpperCAmelCase__     )

          # Checks it saved the tokenizer.json file
          self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files     )     )

          # Checks everything loads correctly in the same way
          __lowercase								=						tokenizer_r.from_pretrained(UpperCAmelCase__     )
          __lowercase								=						tokenizer_p.from_pretrained(UpperCAmelCase__     )

          # Check special tokens are set accordingly on Rust and Python
          for key in tokenizer_pp.special_tokens_map:
             self.assertTrue(hasattr(UpperCAmelCase__, UpperCAmelCase__     )     )

          shutil.rmtree(UpperCAmelCase__     )







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







 """simple docstring"""







 __UpperCAmelCase     : Optional[int]       		=     "facebook/mbart-large-en-ro"
 __UpperCAmelCase     : List[Any]       		=     [
     " UN Chief Says There Is No Military Solution in Syria",
     " Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.",
 ]
 __UpperCAmelCase     : List[str]       		=     [
     "Şeful ONU declară că nu există o soluţie militară în Siria",
     "Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"
     " pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"
     " face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.",
 ]
 __UpperCAmelCase     : int       		=     [8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2, EN_CODE]


 @classmethod
 def  _lowercase			(      cls							:      Union[str, Any]     ):
    __lowercase								=						MBartTokenizer.from_pretrained(
        cls.checkpoint_name, src_lang="en_XX", tgt_lang="ro_RO"     )
    __lowercase								=						1
    return cls


 def  _lowercase			(      self							:      int     ):
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"], 2_5_0_0_0_1     )
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"], 2_5_0_0_0_4     )
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"], 2_5_0_0_2_0     )


 def  _lowercase			(      self							:      List[str]     ):
    __lowercase								=						self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
    self.assertListEqual(self.expected_src_tokens, UpperCAmelCase__     )


 def  _lowercase			(      self							:      int     ):
    self.assertIn(UpperCAmelCase__, self.tokenizer.all_special_ids     )
    __lowercase								=						[RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
    __lowercase								=						self.tokenizer.decode(UpperCAmelCase__, skip_special_tokens=UpperCAmelCase__     )
    __lowercase								=						self.tokenizer.decode(generated_ids[1:], skip_special_tokens=UpperCAmelCase__     )
    self.assertEqual(UpperCAmelCase__, UpperCAmelCase__     )
    self.assertNotIn(self.tokenizer.eos_token, UpperCAmelCase__     )


 def  _lowercase			(      self							:      Optional[Any]     ):
    __lowercase								=						["this is gunna be a long sentence " * 2_0]
    assert isinstance(src_text[0], UpperCAmelCase__     )
    __lowercase								=						1_0
    __lowercase								=						self.tokenizer(UpperCAmelCase__, max_length=UpperCAmelCase__, truncation=UpperCAmelCase__     ).input_ids[0]
    self.assertEqual(ids[-2], 2     )
    self.assertEqual(ids[-1], UpperCAmelCase__     )
    self.assertEqual(len(UpperCAmelCase__     ), UpperCAmelCase__     )


 def  _lowercase			(      self							:      Optional[Any]     ):
    self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]     ), [2_5_0_0_2_6, 2_5_0_0_0_1]     )


 def  _lowercase			(      self							:      int     ):
    __lowercase								=						tempfile.mkdtemp()
    __lowercase								=						self.tokenizer.fairseq_tokens_to_ids
    self.tokenizer.save_pretrained(UpperCAmelCase__     )
    __lowercase								=						MBartTokenizer.from_pretrained(UpperCAmelCase__     )
    self.assertDictEqual(new_tok.fairseq_tokens_to_ids, UpperCAmelCase__     )


 @require_torch
 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						self.tokenizer(self.src_text, text_target=self.tgt_text, padding=UpperCAmelCase__, return_tensors="pt"     )
    __lowercase								=						shift_tokens_right(batch["labels"], self.tokenizer.pad_token_id     )

    # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
    assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
    assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
    assert batch.decoder_input_ids[1][-1] == 2
    assert batch.labels[1][-2:].tolist() == [2, RO_CODE]


 @require_torch
 def  _lowercase			(      self							:      List[str]     ):
    __lowercase								=						self.tokenizer(
        self.src_text, text_target=self.tgt_text, padding=UpperCAmelCase__, truncation=UpperCAmelCase__, max_length=len(self.expected_src_tokens     ), return_tensors="pt", )

    __lowercase								=						shift_tokens_right(batch["labels"], self.tokenizer.pad_token_id     )

    self.assertIsInstance(UpperCAmelCase__, UpperCAmelCase__     )

    self.assertEqual((2, 1_4), batch.input_ids.shape     )
    self.assertEqual((2, 1_4), batch.attention_mask.shape     )
    __lowercase								=						batch.input_ids.tolist()[0]
    self.assertListEqual(self.expected_src_tokens, UpperCAmelCase__     )
    self.assertEqual(2, batch.decoder_input_ids[0, -1]     )  # EOS
    # Test that special tokens are reset
    self.assertEqual(self.tokenizer.prefix_tokens, []     )
    self.assertEqual(self.tokenizer.suffix_tokens, [self.tokenizer.eos_token_id, EN_CODE]     )


 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						self.tokenizer(self.src_text, padding=UpperCAmelCase__, truncation=UpperCAmelCase__, max_length=3, return_tensors="pt"     )
    __lowercase								=						self.tokenizer(
        text_target=self.tgt_text, padding=UpperCAmelCase__, truncation=UpperCAmelCase__, max_length=1_0, return_tensors="pt"     )
    __lowercase								=						targets["input_ids"]
    __lowercase								=						shift_tokens_right(UpperCAmelCase__, self.tokenizer.pad_token_id     )

    self.assertEqual(batch.input_ids.shape[1], 3     )
    self.assertEqual(batch.decoder_input_ids.shape[1], 1_0     )



 @require_torch
 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						self.tokenizer._build_translation_inputs(
        "A test", return_tensors="pt", src_lang="en_XX", tgt_lang="ar_AR"     )

    self.assertEqual(
        nested_simplify(UpperCAmelCase__     ), {
            # A, test, EOS, en_XX
            "input_ids": [[6_2, 3_0_3_4, 2, 2_5_0_0_0_4]],
            "attention_mask": [[1, 1, 1, 1]],
            # ar_AR
            "forced_bos_token_id": 2_5_0_0_0_1,
        }, )


"""simple docstring"""





import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812




def   _A  (  )     ->						None:
   '''simple docstring'''


   print("Making key files...")
   make_key_files("rsa",      1024)
   print("Key files generation successful.")




def   _A  (  UpperCamelCase_					:	int)     ->						tuple[tuple[int, int], tuple[int, int]]:
   '''simple docstring'''


   print("Generating prime p...")
   __lowercase								=						rabinMiller.generate_large_prime(UpperCamelCase_)
   print("Generating prime q...")
   __lowercase								=						rabinMiller.generate_large_prime(UpperCamelCase_)
   __lowercase								=						p * q

   print("Generating e that is relatively prime to (p - 1) * (q - 1)...")
   while True:
      __lowercase								=						random.randrange(2 ** (key_size - 1),      2 ** (key_size))
      if cryptoMath.gcd(UpperCamelCase_,      (p - 1) * (q - 1)) == 1:
         break

   print("Calculating d that is mod inverse of e...")
   __lowercase								=						cryptoMath.find_mod_inverse(UpperCamelCase_,      (p - 1) * (q - 1))

   __lowercase								=						(n, e)
   __lowercase								=						(n, d)
   return (public_key, private_key)




def   _A  (  UpperCamelCase_					:	str,      UpperCamelCase_					:	int)     ->						None:
   '''simple docstring'''


   if os.path.exists(F"""{name}_pubkey.txt""") or os.path.exists(F"""{name}_privkey.txt"""):
      print("\nWARNING:")
      print(
          F"""\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"""
          "Use a different name or delete these files and re-run this program.")
      sys.exit()

   __lowercase		,__lowercase								=						generate_key(UpperCamelCase_)
   print(F"""\nWriting public key to file {name}_pubkey.txt...""")
   with open(F"""{name}_pubkey.txt""",      "w") as out_file:
      out_file.write(F"""{key_size},{public_key[0]},{public_key[1]}""")

   print(F"""Writing private key to file {name}_privkey.txt...""")
   with open(F"""{name}_privkey.txt""",      "w") as out_file:
      out_file.write(F"""{key_size},{private_key[0]},{private_key[1]}""")


if __name__ == "__main__":
   main()




