






"""simple docstring"""







import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class  lowerCamelCase__ (	snake_case   ,					unittest.TestCase			):
    SCREAMING_SNAKE_CASE		=      RoCBertTokenizer
    SCREAMING_SNAKE_CASE		=      None
    SCREAMING_SNAKE_CASE		=      False
    SCREAMING_SNAKE_CASE		=      True
    SCREAMING_SNAKE_CASE		=      filter_non_english






    def     _UpperCamelCase							(			self ):
          super().setUp()

          UpperCAmelCase          =	["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
          UpperCAmelCase          =	{}
          UpperCAmelCase          =	{}
          for i, value in enumerate(A ):
                UpperCAmelCase          =	i
                UpperCAmelCase          =	i
          UpperCAmelCase          =	os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES["""vocab_file"""] )
          UpperCAmelCase          =	os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES["""word_shape_file"""] )
          UpperCAmelCase          =	os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES["""word_pronunciation_file"""] )
          with open(self.vocab_file     ,"""w"""     ,encoding="""utf-8""" ) as vocab_writer:
                vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens] ) )
          with open(self.word_shape_file     ,"""w"""     ,encoding="""utf-8""" ) as word_shape_writer:
                json.dump(A     ,A     ,ensure_ascii=A )
          with open(self.word_pronunciation_file     ,"""w"""     ,encoding="""utf-8""" ) as word_pronunciation_writer:
                json.dump(A     ,A     ,ensure_ascii=A )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	self.tokenizer_class(self.vocab_file     ,self.word_shape_file     ,self.word_pronunciation_file )

          UpperCAmelCase          =	tokenizer.tokenize("""你好[SEP]你是谁""" )
          self.assertListEqual(A     ,["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""] )
          self.assertListEqual(tokenizer.convert_tokens_to_ids(A )     ,[5, 6, 2, 5, 7, 8] )
          self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(A )     ,[5, 6, 2, 5, 7, 8] )
          self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(A )     ,[5, 6, 2, 5, 7, 8] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer()

          self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz""" )     ,["""ah""", """\u535A""", """\u63A8""", """zz"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ )     ,["""hello""", """!""", """how""", """are""", """you""", """?"""] )
          self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,["""hello"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A     ,strip_accents=A )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,["""hällo""", """!""", """how""", """are""", """you""", """?"""] )
          self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,["""h\u00E9llo"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A     ,strip_accents=A )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
          self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,["""hello"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,["""hallo""", """!""", """how""", """are""", """you""", """?"""] )
          self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""" )     ,["""hello"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """ )     ,["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A     ,strip_accents=A )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A     ,strip_accents=A )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """ )     ,["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	RoCBertBasicTokenizer(do_lower_case=A     ,never_split=["""[UNK]"""] )

          self.assertListEqual(
              tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]""" )     ,["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

          UpperCAmelCase          =	{}
          for i, token in enumerate(A ):
                UpperCAmelCase          =	i
          UpperCAmelCase          =	RoCBertWordpieceTokenizer(vocab=A     ,unk_token="""[UNK]""" )

          self.assertListEqual(tokenizer.tokenize("""""" )     ,[] )

          self.assertListEqual(tokenizer.tokenize("""unwanted running""" )     ,["""un""", """##want""", """##ed""", """runn""", """##ing"""] )

          self.assertListEqual(tokenizer.tokenize("""unwantedX running""" )     ,["""[UNK]""", """runn""", """##ing"""] )






    def     _UpperCamelCase							(			self ):
          self.assertTrue(_is_whitespace(""" """ ) )
          self.assertTrue(_is_whitespace("""\t""" ) )
          self.assertTrue(_is_whitespace("""\r""" ) )
          self.assertTrue(_is_whitespace("""\n""" ) )
          self.assertTrue(_is_whitespace("""\u00A0""" ) )

          self.assertFalse(_is_whitespace("""A""" ) )
          self.assertFalse(_is_whitespace("""-""" ) )






    def     _UpperCamelCase							(			self ):
          self.assertTrue(_is_control("""\u0005""" ) )

          self.assertFalse(_is_control("""A""" ) )
          self.assertFalse(_is_control(""" """ ) )
          self.assertFalse(_is_control("""\t""" ) )
          self.assertFalse(_is_control("""\r""" ) )






    def     _UpperCamelCase							(			self ):
          self.assertTrue(_is_punctuation("""-""" ) )
          self.assertTrue(_is_punctuation("""$""" ) )
          self.assertTrue(_is_punctuation("""`""" ) )
          self.assertTrue(_is_punctuation(""".""" ) )

          self.assertFalse(_is_punctuation("""A""" ) )
          self.assertFalse(_is_punctuation(""" """ ) )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	self.get_tokenizer()

          # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
          self.assertListEqual([tokenizer.tokenize(A ) for t in ["""Test""", """\xad""", """test"""]]     ,[["""[UNK]"""], [], ["""[UNK]"""]] )

          if self.test_rust_tokenizer:
                UpperCAmelCase          =	self.get_rust_tokenizer()
                self.assertListEqual(
                    [rust_tokenizer.tokenize(A ) for t in ["""Test""", """\xad""", """test"""]]     ,[["""[UNK]"""], [], ["""[UNK]"""]] )






    def     _UpperCamelCase							(			self ):
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
                      UpperCAmelCase          =	self.rust_tokenizer_class.from_pretrained(A     ,**A )

                      UpperCAmelCase          =	F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
                      UpperCAmelCase          =	tokenizer_r.encode_plus(
                          A     ,return_attention_mask=A     ,return_token_type_ids=A     ,return_offsets_mapping=A     ,add_special_tokens=A     ,)

                      UpperCAmelCase          =	tokenizer_r.do_lower_case if hasattr(A     ,"""do_lower_case""" ) else False
                      UpperCAmelCase          =	(
                          [
                              ((0, 0), tokenizer_r.cls_token),
                              ((0, 1), """A"""),
                              ((1, 2), ""","""),
                              ((3, 5), """na"""),
                              ((5, 6), """##ï"""),
                              ((6, 8), """##ve"""),
                              ((9, 15), tokenizer_r.mask_token),
                              ((16, 21), """Allen"""),
                              ((21, 23), """##NL"""),
                              ((23, 24), """##P"""),
                              ((25, 33), """sentence"""),
                              ((33, 34), """."""),
                              ((0, 0), tokenizer_r.sep_token),
                          ]
                          if not do_lower_case
                          else [
                              ((0, 0), tokenizer_r.cls_token),
                              ((0, 1), """a"""),
                              ((1, 2), ""","""),
                              ((3, 8), """naive"""),
                              ((9, 15), tokenizer_r.mask_token),
                              ((16, 21), """allen"""),
                              ((21, 23), """##nl"""),
                              ((23, 24), """##p"""),
                              ((25, 33), """sentence"""),
                              ((33, 34), """."""),
                              ((0, 0), tokenizer_r.sep_token),
                          ]
                      )

                      self.assertEqual(
                          [e[1] for e in expected_results]     ,tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""] ) )
                      self.assertEqual([e[0] for e in expected_results]     ,tokens["""offset_mapping"""] )






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	["""的""", """人""", """有"""]
          UpperCAmelCase          =	"""""".join(A )
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
                      UpperCAmelCase          =	True
                      UpperCAmelCase          =	self.tokenizer_class.from_pretrained(A     ,**A )
                      UpperCAmelCase          =	self.rust_tokenizer_class.from_pretrained(A     ,**A )

                      UpperCAmelCase          =	tokenizer_p.encode(A     ,add_special_tokens=A )
                      UpperCAmelCase          =	tokenizer_r.encode(A     ,add_special_tokens=A )

                      UpperCAmelCase          =	tokenizer_r.convert_ids_to_tokens(A )
                      UpperCAmelCase          =	tokenizer_p.convert_ids_to_tokens(A )

                      # it is expected that each Chinese character is not preceded by "##"
                      self.assertListEqual(A     ,A )
                      self.assertListEqual(A     ,A )

                      UpperCAmelCase          =	False
                      UpperCAmelCase          =	self.rust_tokenizer_class.from_pretrained(A     ,**A )
                      UpperCAmelCase          =	self.tokenizer_class.from_pretrained(A     ,**A )

                      UpperCAmelCase          =	tokenizer_r.encode(A     ,add_special_tokens=A )
                      UpperCAmelCase          =	tokenizer_p.encode(A     ,add_special_tokens=A )

                      UpperCAmelCase          =	tokenizer_r.convert_ids_to_tokens(A )
                      UpperCAmelCase          =	tokenizer_p.convert_ids_to_tokens(A )

                      # it is expected that only the first Chinese character is not preceded by "##".
                      UpperCAmelCase          =	[
                          F'''##{token}''' if idx != 0 else token for idx, token in enumerate(A )
                      ]
                      self.assertListEqual(A     ,A )
                      self.assertListEqual(A     ,A )






    @slow
    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	self.tokenizer_class(self.vocab_file     ,self.word_shape_file     ,self.word_pronunciation_file )

          UpperCAmelCase          =	tokenizer.encode("""你好"""     ,add_special_tokens=A )
          UpperCAmelCase          =	tokenizer.encode("""你是谁"""     ,add_special_tokens=A )

          UpperCAmelCase          =	tokenizer.build_inputs_with_special_tokens(A )
          UpperCAmelCase          =	tokenizer.build_inputs_with_special_tokens(A     ,A )

          assert encoded_sentence == [1] + text + [2]
          assert encoded_pair == [1] + text + [2] + text_a + [2]






    def     _UpperCamelCase							(			self ):
          UpperCAmelCase          =	self.get_tokenizers(do_lower_case=A )
          for tokenizer in tokenizers:
                with self.subTest(F'''{tokenizer.__class__.__name__}''' ):
                      UpperCAmelCase          =	"""你好，你是谁"""
                      UpperCAmelCase          =	tokenizer.tokenize(A )
                      UpperCAmelCase          =	tokenizer.convert_tokens_to_ids(A )
                      UpperCAmelCase          =	tokenizer.convert_tokens_to_shape_ids(A )
                      UpperCAmelCase          =	tokenizer.convert_tokens_to_pronunciation_ids(A )
                      UpperCAmelCase          =	tokenizer.prepare_for_model(
                          A     ,A     ,A     ,add_special_tokens=A )

                      UpperCAmelCase          =	tokenizer.encode_plus(A     ,add_special_tokens=A )

                      self.assertEqual(A     ,A )











"""simple docstring"""







import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


_UpperCamelCase					      =  get_tests_dir() + """/test_data/fsmt/fsmt_val_data.json"""
with io.open(filename, """r""", encoding="""utf-8""") as f:
  _UpperCamelCase					      =  json.load(f)







@require_torch
class  lowerCamelCase__ (	unittest.TestCase			):






    def     _UpperCamelCase							(			self     ,A ):
          return FSMTTokenizer.from_pretrained(A )






    def     _UpperCamelCase							(			self     ,A ):
          UpperCAmelCase          =	FSMTForConditionalGeneration.from_pretrained(A ).to(A )
          if torch_device == "cuda":
                model.half()
          return model






    @parameterized.expand(
        [
            ["""en-ru""", 26.0],
            ["""ru-en""", 22.0],
            ["""en-de""", 22.0],
            ["""de-en""", 29.0],
        ] )
    @slow
    def     _UpperCamelCase							(			self     ,A     ,A ):
          # note: this test is not testing the best performance since it only evals a small batch
          # but it should be enough to detect a regression in the output quality
          UpperCAmelCase          =	F'''facebook/wmt19-{pair}'''
          UpperCAmelCase          =	self.get_tokenizer(A )
          UpperCAmelCase          =	self.get_model(A )

          UpperCAmelCase          =	bleu_data[pair]["""src"""]
          UpperCAmelCase          =	bleu_data[pair]["""tgt"""]

          UpperCAmelCase          =	tokenizer(A     ,return_tensors="""pt"""     ,truncation=A     ,padding="""longest""" ).to(A )
          UpperCAmelCase          =	model.generate(
              input_ids=batch.input_ids     ,num_beams=8     ,)
          UpperCAmelCase          =	tokenizer.batch_decode(
              A     ,skip_special_tokens=A     ,clean_up_tokenization_spaces=A )
          UpperCAmelCase          =	calculate_bleu(A     ,A )
          print(A )
          self.assertGreaterEqual(scores["""bleu"""]     ,A )



