

"""simple docstring"""




import json
import os
import unittest

from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors







@require_tokenizers
class      __lowercase			(    __lowerCamelCase	,			unittest.TestCase					):
  snake_case_				       =       MvpTokenizer
  snake_case_				       =       MvpTokenizerFast
  snake_case_				       =       True
  snake_case_				       =       filter_roberta_detectors

  def    __lowercase       (  self		:			Any    ):






   '''simple docstring'''
   super().setUp()
   UpperCAmelCase__					:  int					   =					[
       """l""",
       """o""",
       """w""",
       """e""",
       """r""",
       """s""",
       """t""",
       """i""",
       """d""",
       """n""",
       """\u0120""",
       """\u0120l""",
       """\u0120n""",
       """\u0120lo""",
       """\u0120low""",
       """er""",
       """\u0120lowest""",
       """\u0120newer""",
       """\u0120wider""",
       """<unk>""",
   ]
   UpperCAmelCase__					:  Tuple					   =					dict(zip(A					,range(len(A    )    )    )    )
   UpperCAmelCase__					:  Any					   =					["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
   UpperCAmelCase__					:  Optional[Any]					   =					{"""unk_token""": """<unk>"""}

   UpperCAmelCase__					:  Any					   =					os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES["""vocab_file"""]    )
   UpperCAmelCase__					:  Union[str, Any]					   =					os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES["""merges_file"""]    )
   with open(self.vocab_file					,"""w"""					,encoding="""utf-8"""    ) as fp:
    fp.write(json.dumps(A    ) + """\n"""    )
   with open(self.merges_file					,"""w"""					,encoding="""utf-8"""    ) as fp:
    fp.write("""\n""".join(A    )    )

  def    __lowercase       (  self		:			List[str]					,**A		:			int    ):






   '''simple docstring'''
   kwargs.update(self.special_tokens_map    )
   return self.tokenizer_class.from_pretrained(self.tmpdirname					,**A    )

  def    __lowercase       (  self		:			Union[str, Any]					,**A		:			List[str]    ):






   '''simple docstring'''
   kwargs.update(self.special_tokens_map    )
   return self.rust_tokenizer_class.from_pretrained(self.tmpdirname					,**A    )

  def    __lowercase       (  self		:			Dict					,A		:			Union[str, Any]    ):






   '''simple docstring'''
   return "lower newer", "lower newer"

  @cached_property
  def    __lowercase       (  self		:			List[str]    ):






   '''simple docstring'''
   return MvpTokenizer.from_pretrained("""RUCAIBox/mvp"""    )

  @cached_property
  def    __lowercase       (  self		:			str    ):






   '''simple docstring'''
   return MvpTokenizerFast.from_pretrained("""RUCAIBox/mvp"""    )

  @require_torch
  def    __lowercase       (  self		:			str    ):






   '''simple docstring'''
   UpperCAmelCase__					:  str					   =					["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
   UpperCAmelCase__					:  Any					   =					[0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
    UpperCAmelCase__					:  Union[str, Any]					   =					tokenizer(A					,max_length=len(A    )					,padding=A					,return_tensors="""pt"""    )
    self.assertIsInstance(A					,A    )

    self.assertEqual((2, 9)					,batch.input_ids.shape    )
    self.assertEqual((2, 9)					,batch.attention_mask.shape    )
    UpperCAmelCase__					:  Tuple					   =					batch.input_ids.tolist()[0]
    self.assertListEqual(A					,A    )
    # Test that special tokens are reset

  @require_torch
  def    __lowercase       (  self		:			List[Any]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Tuple					   =					["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
    UpperCAmelCase__					:  List[Any]					   =					tokenizer(A					,padding=A					,return_tensors="""pt"""    )
    # check if input_ids are returned and no labels
    self.assertIn("""input_ids"""					,A    )
    self.assertIn("""attention_mask"""					,A    )
    self.assertNotIn("""labels"""					,A    )
    self.assertNotIn("""decoder_attention_mask"""					,A    )

  @require_torch
  def    __lowercase       (  self		:			Tuple    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Union[str, Any]					   =					[
       """Summary of the text.""",
       """Another summary.""",
   ]
   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
    UpperCAmelCase__					:  str					   =					tokenizer(text_target=A					,max_length=32					,padding="""max_length"""					,return_tensors="""pt"""    )
    self.assertEqual(32					,targets["""input_ids"""].shape[1]    )

  @require_torch
  def    __lowercase       (  self		:			int    ):






   '''simple docstring'''
   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
    UpperCAmelCase__					:  List[str]					   =					tokenizer(
        ["""I am a small frog""" * 1_024, """I am a small frog"""]					,padding=A					,truncation=A					,return_tensors="""pt"""    )
    self.assertIsInstance(A					,A    )
    self.assertEqual(batch.input_ids.shape					,(2, 1_024)    )

  @require_torch
  def    __lowercase       (  self		:			Any    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Any					   =					["""A long paragraph for summarization."""]
   UpperCAmelCase__					:  Union[str, Any]					   =					[
       """Summary of the text.""",
   ]
   for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
    UpperCAmelCase__					:  Optional[int]					   =					tokenizer(A					,text_target=A					,return_tensors="""pt"""    )
    UpperCAmelCase__					:  Optional[Any]					   =					inputs["""input_ids"""]
    UpperCAmelCase__					:  int					   =					inputs["""labels"""]
    self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()    )
    self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()    )
    self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()    )
    self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()    )

  def    __lowercase       (  self		:			str    ):






   '''simple docstring'''
   pass




  def    __lowercase       (  self		:			Optional[Any]    ):






   '''simple docstring'''
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
    with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"    ):
     UpperCAmelCase__					:  int					   =					self.rust_tokenizer_class.from_pretrained(A					,**A    )
     UpperCAmelCase__					:  Dict					   =					self.tokenizer_class.from_pretrained(A					,**A    )
     UpperCAmelCase__					:  Optional[Any]					   =					"""A, <mask> AllenNLP sentence."""
     UpperCAmelCase__					:  List[Any]					   =					tokenizer_r.encode_plus(A					,add_special_tokens=A					,return_token_type_ids=A    )
     UpperCAmelCase__					:  Optional[int]					   =					tokenizer_p.encode_plus(A					,add_special_tokens=A					,return_token_type_ids=A    )

     # token_type_ids should put 0 everywhere
     self.assertEqual(sum(tokens_r["""token_type_ids"""]    )					,sum(tokens_p["""token_type_ids"""]    )    )

     # attention_mask should put 1 everywhere, so sum over length should be 1
     self.assertEqual(
         sum(tokens_r["""attention_mask"""]    ) / len(tokens_r["""attention_mask"""]    )					,sum(tokens_p["""attention_mask"""]    ) / len(tokens_p["""attention_mask"""]    )					,)

     UpperCAmelCase__					:  Optional[Any]					   =					tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]    )
     UpperCAmelCase__					:  List[Any]					   =					tokenizer_p.convert_ids_to_tokens(tokens_p["""input_ids"""]    )

     # Rust correctly handles the space before the mask while python doesnt
     self.assertSequenceEqual(tokens_p["""input_ids"""]					,[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]    )
     self.assertSequenceEqual(tokens_r["""input_ids"""]					,[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]    )

     self.assertSequenceEqual(
         A					,["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]    )
     self.assertSequenceEqual(
         A					,["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]    )








"""simple docstring"""




# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__UpperCAmelCase =				abspath(join(dirname(dirname(__file__)), 'src'))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)
def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 from diffusers.utils.testing_utils import pytest_addoption_shared

 pytest_addoption_shared(__UpperCamelCase      )




def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 from diffusers.utils.testing_utils import pytest_terminal_summary_main

 UpperCAmelCase__					:  Optional[Any]					   =					terminalreporter.config.getoption("""--make-reports"""      )
 if make_reports:
  pytest_terminal_summary_main(__UpperCamelCase							,    id=__UpperCamelCase      )





