





'''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   	=    250004
a   	=    250020







@require_sentencepiece
@require_tokenizers
class __a			( lowercase_, unittest.TestCase      ):
   __UpperCamelCase :			List[str]						   =						MBartTokenizer
   __UpperCamelCase :			str						   =						MBartTokenizerFast
   __UpperCamelCase :			str						   =						True
   __UpperCamelCase :			str						   =						True





   def   UpperCAmelCase__  (       self					:      Union[str, Any]     ):

      '''simple docstring'''

      super().setUp()

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





   def   UpperCAmelCase__  (       self					:      Union[str, Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							MBartTokenizer(UpperCamelCase_					,keep_accents=UpperCamelCase_     )

      __SCREAMING_SNAKE_CASE   				=							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 [285, 46, 10, 170, 382]]					,)

      __SCREAMING_SNAKE_CASE   				=							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""",
              """.""",
          ]					,)
      __SCREAMING_SNAKE_CASE   				=							tokenizer.convert_tokens_to_ids(UpperCamelCase_     )
      self.assertListEqual(
          UpperCamelCase_					,[
              value + tokenizer.fairseq_offset
              for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
              #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
          ]					,)

      __SCREAMING_SNAKE_CASE   				=							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   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

      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

      __SCREAMING_SNAKE_CASE   				=							(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})"""     ):
            __SCREAMING_SNAKE_CASE   				=							self.rust_tokenizer_class.from_pretrained(UpperCamelCase_					,**UpperCamelCase_     )
            __SCREAMING_SNAKE_CASE   				=							self.tokenizer_class.from_pretrained(UpperCamelCase_					,**UpperCamelCase_     )

            __SCREAMING_SNAKE_CASE   				=							tempfile.mkdtemp()

            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.save_pretrained(UpperCamelCase_     )
            __SCREAMING_SNAKE_CASE   				=							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     )     )
            __SCREAMING_SNAKE_CASE   				=							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
            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.from_pretrained(UpperCamelCase_     )
            __SCREAMING_SNAKE_CASE   				=							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
            __SCREAMING_SNAKE_CASE   				=							tempfile.mkdtemp()

            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.save_pretrained(UpperCamelCase_					,legacy_format=UpperCamelCase_     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer_p.save_pretrained(UpperCamelCase_     )

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

            # Checks everything loads correctly in the same way
            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.from_pretrained(UpperCamelCase_     )
            __SCREAMING_SNAKE_CASE   				=							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
            __SCREAMING_SNAKE_CASE   				=							tempfile.mkdtemp()

            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.save_pretrained(UpperCamelCase_					,legacy_format=UpperCamelCase_     )
            __SCREAMING_SNAKE_CASE   				=							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
            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.from_pretrained(UpperCamelCase_     )
            __SCREAMING_SNAKE_CASE   				=							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 __a			( unittest.TestCase      ):
   __UpperCamelCase :			Tuple						   =						'facebook/mbart-large-en-ro'
   __UpperCamelCase :			Optional[int]						   =						[
       ' 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 :			str						   =						[8274, 12_7873, 2_5916, 7, 8622, 2071, 438, 6_7485, 53, 18_7895, 23, 5_1712, 2, EN_CODE]





   @classmethod
   def   UpperCAmelCase__  (       cls					:      Tuple     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							MBartTokenizer.from_pretrained(
          cls.checkpoint_name					,src_lang="""en_XX"""					,tgt_lang="""ro_RO"""     )
      __SCREAMING_SNAKE_CASE   				=							1
      return cls





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ar_AR"""]					,25_0001     )
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""en_EN"""]					,25_0004     )
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""ro_RO"""]					,25_0020     )





   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
      self.assertListEqual(self.expected_src_tokens					,UpperCamelCase_     )





   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      self.assertIn(UpperCamelCase_					,self.tokenizer.all_special_ids     )
      __SCREAMING_SNAKE_CASE   				=							[RO_CODE, 884, 9019, 96, 9, 916, 8_6792, 36, 1_8743, 1_5596, 5, 2]
      __SCREAMING_SNAKE_CASE   				=							self.tokenizer.decode(UpperCamelCase_					,skip_special_tokens=UpperCamelCase_     )
      __SCREAMING_SNAKE_CASE   				=							self.tokenizer.decode(generated_ids[1:]					,skip_special_tokens=UpperCamelCase_     )
      self.assertEqual(UpperCamelCase_					,UpperCamelCase_     )
      self.assertNotIn(self.tokenizer.eos_token					,UpperCamelCase_     )





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							["""this is gunna be a long sentence """ * 20]
      assert isinstance(src_text[0]					,UpperCamelCase_     )
      __SCREAMING_SNAKE_CASE   				=							10
      __SCREAMING_SNAKE_CASE   				=							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   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """ar_AR"""]     )					,[25_0026, 25_0001]     )





   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							tempfile.mkdtemp()
      __SCREAMING_SNAKE_CASE   				=							self.tokenizer.fairseq_tokens_to_ids
      self.tokenizer.save_pretrained(UpperCamelCase_     )
      __SCREAMING_SNAKE_CASE   				=							MBartTokenizer.from_pretrained(UpperCamelCase_     )
      self.assertDictEqual(new_tok.fairseq_tokens_to_ids					,UpperCamelCase_     )





   @require_torch
   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.tokenizer(self.src_text					,text_target=self.tgt_text					,padding=UpperCamelCase_					,return_tensors="""pt"""     )
      __SCREAMING_SNAKE_CASE   				=							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   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.tokenizer(
          self.src_text					,text_target=self.tgt_text					,padding=UpperCamelCase_					,truncation=UpperCamelCase_					,max_length=len(self.expected_src_tokens     )					,return_tensors="""pt"""					,)

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

      self.assertIsInstance(UpperCamelCase_					,UpperCamelCase_     )

      self.assertEqual((2, 14)					,batch.input_ids.shape     )
      self.assertEqual((2, 14)					,batch.attention_mask.shape     )
      __SCREAMING_SNAKE_CASE   				=							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   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.tokenizer(self.src_text					,padding=UpperCamelCase_					,truncation=UpperCamelCase_					,max_length=3					,return_tensors="""pt"""     )
      __SCREAMING_SNAKE_CASE   				=							self.tokenizer(
          text_target=self.tgt_text					,padding=UpperCamelCase_					,truncation=UpperCamelCase_					,max_length=10					,return_tensors="""pt"""     )
      __SCREAMING_SNAKE_CASE   				=							targets["""input_ids"""]
      __SCREAMING_SNAKE_CASE   				=							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]					,10     )





   @require_torch
   def   UpperCAmelCase__  (       self					:      Union[str, Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							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""": [[62, 3034, 2, 25_0004]],
              """attention_mask""": [[1, 1, 1, 1]],
              # ar_AR
              """forced_bos_token_id""": 25_0001,
          }					,)













from __future__ import annotations

from typing import Any


class    __lowercase   :







     '''simple docstring'''




     def __init__(					self							:      Dict			,						UpperCamelCase_							:      int			,						UpperCamelCase_							:      int			,						UpperCamelCase_							:      float = 0					):


         """simple docstring"""



         __A     ,						__A       =						row, column
         __A       =						[[default_value for c in range(UpperCamelCase_					)] for r in range(UpperCamelCase_					)]




     def __str__(					self							:      Any					):


         """simple docstring"""



         __A       =						F"Matrix consist of {self.row} rows and {self.column} columns\n"

         # Make string identifier
         __A       =						0
         for row_vector in self.array:
             for obj in row_vector:
                 __A       =						max(UpperCamelCase_			,						len(str(UpperCamelCase_					)					)					)
         __A       =						F"%{max_element_length}s"

         # Make string and return
         def single_line(UpperCamelCase_							:      list[float]					) -> str:
             nonlocal string_format_identifier
             __A       =						"""["""
             line += ", ".join(string_format_identifier % (obj,) for obj in row_vector					)
             line += "]"
             return line

         s += "\n".join(single_line(UpperCamelCase_					) for row_vector in self.array					)
         return s




     def __repr__(					self							:      Optional[Any]					):


         """simple docstring"""



         return str(self					)




     def 		lowerCAmelCase_  (					self							:      Optional[int]			,						UpperCamelCase_							:      tuple[int, int]					):


         """simple docstring"""



         if not (isinstance(UpperCamelCase_			,						(list, tuple)					) and len(UpperCamelCase_					) == 2):
             return False
         elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
             return False
         else:
             return True




     def __getitem__(					self							:      Optional[int]			,						UpperCamelCase_							:      tuple[int, int]					):


         """simple docstring"""



         assert self.validate_indicies(UpperCamelCase_					)
         return self.array[loc[0]][loc[1]]




     def __setitem__(					self							:      str			,						UpperCamelCase_							:      tuple[int, int]			,						UpperCamelCase_							:      float					):


         """simple docstring"""



         assert self.validate_indicies(UpperCamelCase_					)
         __A       =						value




     def __add__(					self							:      Optional[int]			,						UpperCamelCase_							:      Matrix					):


         """simple docstring"""



         assert isinstance(UpperCamelCase_			,						UpperCamelCase_					)
         assert self.row == another.row and self.column == another.column

         # Add
         __A       =						Matrix(self.row			,						self.column					)
         for r in range(self.row					):
             for c in range(self.column					):
                 __A       =						self[r, c] + another[r, c]
         return result




     def __neg__(					self							:      Any					):


         """simple docstring"""



         __A       =						Matrix(self.row			,						self.column					)
         for r in range(self.row					):
             for c in range(self.column					):
                 __A       =						-self[r, c]
         return result




     def __sub__(					self							:      List[Any]			,						UpperCamelCase_							:      Matrix					):


         """simple docstring"""



         return self + (-another)




     def __mul__(					self							:      Union[str, Any]			,						UpperCamelCase_							:      int | float | Matrix					):


         """simple docstring"""



         if isinstance(UpperCamelCase_			,						(int, float)					):  # Scalar multiplication
             __A       =						Matrix(self.row			,						self.column					)
             for r in range(self.row					):
                 for c in range(self.column					):
                     __A       =						self[r, c] * another
             return result
         elif isinstance(UpperCamelCase_			,						UpperCamelCase_					):  # Matrix multiplication
             assert self.column == another.row
             __A       =						Matrix(self.row			,						another.column					)
             for r in range(self.row					):
                 for c in range(another.column					):
                     for i in range(self.column					):
                         result[r, c] += self[r, i] * another[i, c]
             return result
         else:
             __A       =						F"Unsupported type given for another ({type(UpperCamelCase_					)})"
             raise TypeError(UpperCamelCase_					)




     def 		lowerCAmelCase_  (					self							:      str					):


         """simple docstring"""



         __A       =						Matrix(self.column			,						self.row					)
         for r in range(self.row					):
             for c in range(self.column					):
                 __A       =						self[r, c]
         return result





     def 		lowerCAmelCase_  (					self							:      List[str]			,						UpperCamelCase_							:      Matrix			,						UpperCamelCase_							:      Matrix					):


         """simple docstring"""



         assert isinstance(UpperCamelCase_			,						UpperCamelCase_					) and isinstance(UpperCamelCase_			,						UpperCamelCase_					)
         assert self.row == self.column == u.row == v.row  # u, v should be column vector
         assert u.column == v.column == 1  # u, v should be column vector

         # Calculate
         __A       =						v.transpose()
         __A       =						(v_t * self * u)[0, 0] + 1
         if numerator_factor == 0:
             return None  # It's not invertable
         return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":



  def       _SCREAMING_SNAKE_CASE    (			)    ->   None:





      """simple docstring"""

      __A       =						Matrix(3      ,					3      ,					0     )
      for i in range(3     ):
          __A       =						1
      print(f"a^(-1) is {ainv}"     )
      # u, v
      __A       =						Matrix(3      ,					1      ,					0     )
      __A     ,						__A     ,						__A       =						1, 2, -3
      __A       =						Matrix(3      ,					1      ,					0     )
      __A     ,						__A     ,						__A       =						4, -2, 5
      print(f"u is {u}"     )
      print(f"v is {v}"     )
      print(f"uv^T is {u * v.transpose()}"     )
      # Sherman Morrison
      print(f"(a + uv^T)^(-1) is {ainv.sherman_morrison(__lowercase      ,					__lowercase     )}"     )



  def       _SCREAMING_SNAKE_CASE    (			)    ->   None:





      """simple docstring"""

      import doctest

      doctest.testmod()






  testa()




