





'''simple docstring'''






import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
      A__    :       Optional[int]              ='''pt'''
elif is_tf_available():
      A__    :       List[str]              ='''tf'''
else:
      A__    :       str              ='''jax'''




class 			UpperCAmelCase					(      snake_case_							,		unittest.TestCase       ):
      _lowercase:      int											=       ByTaTokenizer
      _lowercase:      Union[str, Any]											=       False




      def     lowercase__   (      self      :			Union[str, Any]  )    ->				Tuple:
            super().setUp()
            _lowerCAmelCase												=							ByTaTokenizer()
            tokenizer.save_pretrained(self.tmpdirname  )




      @cached_property
      def     lowercase__   (      self      :			Optional[int]  )    ->				Any:
            return ByTaTokenizer.from_pretrained("""google/byt5-small"""  )




      def     lowercase__   (      self      :			Dict      ,      **__snake_case      :			Optional[Any]  )    ->				ByTaTokenizer:
            return self.tokenizer_class.from_pretrained(self.tmpdirname      ,      **__snake_case  )




      def     lowercase__   (      self      :			Optional[int]      ,      __snake_case      :			List[Any]      ,      __snake_case      :			Tuple=False      ,      __snake_case      :			Any=20      ,      __snake_case      :			List[str]=5  )    ->				Tuple[str, list]:
            # XXX The default common tokenizer tests assume that every ID is decodable on its own.
            # This assumption is invalid for ByT5 because single bytes might not be
            # valid utf-8 (byte 128 for instance).
            # Here we're overriding the smallest possible method to provide
            # a clean sequence without making the same assumption.

            _lowerCAmelCase												=							[]
            for i in range(len(__snake_case  )  ):
                  try:
                        _lowerCAmelCase												=							tokenizer.decode([i]      ,      clean_up_tokenization_spaces=__snake_case  )
                  except UnicodeDecodeError:
                        pass
                  toks.append((i, tok)  )

            _lowerCAmelCase												=							list(filter(lambda __snake_case  : re.match(R"""^[ a-zA-Z]+$"""      ,      t[1]  )      ,      __snake_case  )  )
            _lowerCAmelCase												=							list(filter(lambda __snake_case  : [t[0]] == tokenizer.encode(t[1]      ,      add_special_tokens=__snake_case  )      ,      __snake_case  )  )
            if max_length is not None and len(__snake_case  ) > max_length:
                  _lowerCAmelCase												=							toks[:max_length]
            if min_length is not None and len(__snake_case  ) < min_length and len(__snake_case  ) > 0:
                  while len(__snake_case  ) < min_length:
                        _lowerCAmelCase												=							toks + toks
        # toks_str = [t[1] for t in toks]
            _lowerCAmelCase												=							[t[0] for t in toks]

            # Ensure consistency
            _lowerCAmelCase												=							tokenizer.decode(__snake_case      ,      clean_up_tokenization_spaces=__snake_case  )
            if " " not in output_txt and len(__snake_case  ) > 1:
                  _lowerCAmelCase												=							(
                      tokenizer.decode([toks_ids[0]]      ,      clean_up_tokenization_spaces=__snake_case  )
                      + """ """
                      + tokenizer.decode(toks_ids[1:]      ,      clean_up_tokenization_spaces=__snake_case  )
                  )
            if with_prefix_space:
                  _lowerCAmelCase												=							""" """ + output_txt
            _lowerCAmelCase												=							tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case  )
            return output_txt, output_ids




      def     lowercase__   (      self      :			List[str]  )    ->				Optional[int]:
            _lowerCAmelCase												=							self.ta_base_tokenizer
            _lowerCAmelCase												=							tokenizer(["""hi</s>""", """I went to the gym</s>""", """</s>"""]  )
            _lowerCAmelCase												=							tokenizer(["""hi""", """I went to the gym""", """"""]  )
            self.assertListEqual(batch_with_eos_added["""input_ids"""]      ,      batch_without_eos_added["""input_ids"""]  )




      def     lowercase__   (      self      :			Any  )    ->				Tuple:
            _lowerCAmelCase												=							self.ta_base_tokenizer
            _lowerCAmelCase												=							"""Unicode €."""
            _lowerCAmelCase												=							tokenizer(__snake_case  )
            _lowerCAmelCase												=							[88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
            self.assertEqual(encoded["""input_ids"""]      ,      __snake_case  )

            # decoding
            _lowerCAmelCase												=							tokenizer.decode(__snake_case  )
            self.assertEqual(__snake_case      ,      """Unicode €.</s>"""  )

            _lowerCAmelCase												=							tokenizer("""e è é ê ë"""  )
            _lowerCAmelCase												=							[1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
            self.assertEqual(encoded["""input_ids"""]      ,      __snake_case  )
            # decoding
            _lowerCAmelCase												=							tokenizer.decode(__snake_case  )
            self.assertEqual(__snake_case      ,      """e è é ê ë</s>"""  )

            # encode/decode, but with `encode` instead of `__call__`
            self.assertEqual(tokenizer.decode(tokenizer.encode("""e è é ê ë"""  )  )      ,      """e è é ê ë</s>"""  )




      def     lowercase__   (      self      :			List[Any]  )    ->				Dict:
            _lowerCAmelCase												=							self.ta_base_tokenizer
            _lowerCAmelCase												=							["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
            # fmt: off
            _lowerCAmelCase												=							[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 0]
            # fmt: on
            _lowerCAmelCase												=							tokenizer(__snake_case      ,      padding=__snake_case      ,      return_tensors=__snake_case  )
            self.assertIsInstance(__snake_case      ,      __snake_case  )

            if FRAMEWORK != "jax":
                  _lowerCAmelCase												=							list(batch.input_ids.numpy()[0]  )
            else:
                  _lowerCAmelCase												=							list(batch.input_ids.tolist()[0]  )

            self.assertListEqual(__snake_case      ,      __snake_case  )

            self.assertEqual((2, 37)      ,      batch.input_ids.shape  )
            self.assertEqual((2, 37)      ,      batch.attention_mask.shape  )




      def     lowercase__   (      self      :			Any  )    ->				Optional[Any]:
            _lowerCAmelCase												=							self.ta_base_tokenizer
            _lowerCAmelCase												=							["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
            _lowerCAmelCase												=							tokenizer(__snake_case      ,      padding=__snake_case      ,      return_tensors=__snake_case  )
            # check if input_ids are returned and no decoder_input_ids
            self.assertIn("""input_ids"""      ,      __snake_case  )
            self.assertIn("""attention_mask"""      ,      __snake_case  )
            self.assertNotIn("""decoder_input_ids"""      ,      __snake_case  )
            self.assertNotIn("""decoder_attention_mask"""      ,      __snake_case  )




      def     lowercase__   (      self      :			str  )    ->				Dict:
            _lowerCAmelCase												=							self.ta_base_tokenizer
            _lowerCAmelCase												=							[
                """Summary of the text.""",
                """Another summary.""",
            ]
            _lowerCAmelCase												=							tokenizer(
                text_target=__snake_case      ,      max_length=32      ,      padding="""max_length"""      ,      truncation=__snake_case      ,      return_tensors=__snake_case  )
            self.assertEqual(32      ,      targets["""input_ids"""].shape[1]  )




      def     lowercase__   (      self      :			List[Any]  )    ->				Any:
            _lowerCAmelCase												=							self.ta_base_tokenizer
            _lowerCAmelCase												=							["""A long paragraph for summarization. </s>"""]
            _lowerCAmelCase												=							["""Summary of the text. </s>"""]
            # fmt: off
            _lowerCAmelCase												=							[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
            _lowerCAmelCase												=							[86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
            # fmt: on

            _lowerCAmelCase												=							tokenizer(__snake_case      ,      text_target=__snake_case  )

            self.assertEqual(__snake_case      ,      batch["""input_ids"""][0]  )
            self.assertEqual(__snake_case      ,      batch["""labels"""][0]  )




      def     lowercase__   (      self      :			Optional[int]  )    ->				Tuple:
            # safety check on max_len default value so we are sure the test works
            _lowerCAmelCase												=							self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"  ):
                        self.assertNotEqual(tokenizer.model_max_length      ,      42  )

        # Now let's start the test
            _lowerCAmelCase												=							self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"  ):
                        # Isolate this from the other tests because we save additional tokens/etc
                        _lowerCAmelCase												=							tempfile.mkdtemp()

                        _lowerCAmelCase												=							""" He is very happy, UNwant\u00E9d,running"""
                        _lowerCAmelCase												=							tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case  )
                        tokenizer.save_pretrained(__snake_case  )

                        _lowerCAmelCase												=							tokenizer.__class__.from_pretrained(__snake_case  )
                        _lowerCAmelCase												=							after_tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case  )
                        self.assertListEqual(__snake_case      ,      __snake_case  )

                        shutil.rmtree(__snake_case  )

            _lowerCAmelCase												=							self.get_tokenizers(model_max_length=42  )
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"  ):
                        # Isolate this from the other tests because we save additional tokens/etc
                        _lowerCAmelCase												=							tempfile.mkdtemp()

                        _lowerCAmelCase												=							""" He is very happy, UNwant\u00E9d,running"""
                        tokenizer.add_tokens(["""bim""", """bambam"""]  )
                        _lowerCAmelCase												=							tokenizer.additional_special_tokens
                        additional_special_tokens.append("""new_additional_special_token"""  )
                        tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}  )
                        _lowerCAmelCase												=							tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case  )
                        tokenizer.save_pretrained(__snake_case  )

                        _lowerCAmelCase												=							tokenizer.__class__.from_pretrained(__snake_case  )
                        _lowerCAmelCase												=							after_tokenizer.encode(__snake_case      ,      add_special_tokens=__snake_case  )
                        self.assertListEqual(__snake_case      ,      __snake_case  )
                        self.assertIn("""new_additional_special_token"""      ,      after_tokenizer.additional_special_tokens  )
                        self.assertEqual(after_tokenizer.model_max_length      ,      42  )

                        _lowerCAmelCase												=							tokenizer.__class__.from_pretrained(__snake_case      ,      model_max_length=43  )
                        self.assertEqual(tokenizer.model_max_length      ,      43  )

                        shutil.rmtree(__snake_case  )




      def     lowercase__   (      self      :			Union[str, Any]  )    ->				Dict:
            _lowerCAmelCase												=							[]
            if self.test_slow_tokenizer:
                  tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())  )

            if self.test_rust_tokenizer:
                  tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())  )

            for tokenizer_class, tokenizer_utils in tokenizer_list:
                  with tempfile.TemporaryDirectory() as tmp_dir:
                        tokenizer_utils.save_pretrained(__snake_case  )

                        with open(os.path.join(__snake_case      ,      """special_tokens_map.json"""  )      ,      encoding="""utf-8"""  ) as json_file:
                              _lowerCAmelCase												=							json.load(__snake_case  )

                        with open(os.path.join(__snake_case      ,      """tokenizer_config.json"""  )      ,      encoding="""utf-8"""  ) as json_file:
                              _lowerCAmelCase												=							json.load(__snake_case  )

                        _lowerCAmelCase												=							[f"<extra_id_{i}>" for i in range(1_25  )]

                        _lowerCAmelCase												=							added_tokens_extra_ids + [
                            """an_additional_special_token"""
                        ]
                        _lowerCAmelCase												=							added_tokens_extra_ids + [
                            """an_additional_special_token"""
                        ]

                        with open(os.path.join(__snake_case      ,      """special_tokens_map.json"""  )      ,      """w"""      ,      encoding="""utf-8"""  ) as outfile:
                              json.dump(__snake_case      ,      __snake_case  )
                        with open(os.path.join(__snake_case      ,      """tokenizer_config.json"""  )      ,      """w"""      ,      encoding="""utf-8"""  ) as outfile:
                              json.dump(__snake_case      ,      __snake_case  )

                        # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                        # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                        # "special_tokens_map.json" files
                        _lowerCAmelCase												=							tokenizer_class.from_pretrained(
                            __snake_case      ,      )
                        self.assertIn(
                            """an_additional_special_token"""      ,      tokenizer_without_change_in_init.additional_special_tokens  )
                        # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
                        self.assertEqual(
                            ["""an_additional_special_token"""]      ,      tokenizer_without_change_in_init.convert_ids_to_tokens(
                                tokenizer_without_change_in_init.convert_tokens_to_ids(["""an_additional_special_token"""]  )  )      ,      )

                        # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                        _lowerCAmelCase												=							added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""      ,      lstrip=__snake_case  )]
                        _lowerCAmelCase												=							tokenizer_class.from_pretrained(
                            __snake_case      ,      additional_special_tokens=__snake_case      ,      )

                        self.assertIn("""a_new_additional_special_token"""      ,      tokenizer.additional_special_tokens  )
                        self.assertEqual(
                            ["""a_new_additional_special_token"""]      ,      tokenizer.convert_ids_to_tokens(
                                tokenizer.convert_tokens_to_ids(["""a_new_additional_special_token"""]  )  )      ,      )




      def     lowercase__   (      self      :			Union[str, Any]  )    ->				Union[str, Any]:
            _lowerCAmelCase												=							[]
            if self.test_slow_tokenizer:
                  tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())  )

            if self.test_rust_tokenizer:
                  tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())  )

            for tokenizer_class, tokenizer_utils in tokenizer_list:
                  with tempfile.TemporaryDirectory() as tmp_dir:
                        tokenizer_utils.save_pretrained(__snake_case  )

                        _lowerCAmelCase												=							tokenizer_class.from_pretrained(__snake_case  )

                        self.assertTrue(tokenizer.decode([2_55]  ) == """"""  )




      def     lowercase__   (      self      :			List[Any]  )    ->				List[Any]:
            pass




      def     lowercase__   (      self      :			Union[str, Any]  )    ->				str:
            pass




      def     lowercase__   (      self      :			Union[str, Any]  )    ->				Dict:
            pass




      def     lowercase__   (      self      :			Tuple  )    ->				List[Any]:
            pass




      def     lowercase__   (      self      :			Optional[Any]  )    ->				Optional[int]:
            # The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
            # and special added tokens as tokens
            _lowerCAmelCase												=							self.get_tokenizers(fast=__snake_case      ,      do_lower_case=__snake_case  )
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"  ):
                        _lowerCAmelCase												=							["""t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """x""", """t""", """</s>"""]
                        _lowerCAmelCase												=							tokenizer.convert_tokens_to_string(__snake_case  )

                        self.assertIsInstance(__snake_case      ,      __snake_case  )




      def     lowercase__   (      self      :			List[Any]  )    ->				Dict:
            _lowerCAmelCase												=							self.get_tokenizers()
            for tokenizer in tokenizers:
                  with self.subTest(f"{tokenizer.__class__.__name__}"  ):
                        _lowerCAmelCase												=							[
                            """bos_token""",
                            """eos_token""",
                            """unk_token""",
                            """sep_token""",
                            """pad_token""",
                            """cls_token""",
                            """mask_token""",
                        ]

                        _lowerCAmelCase												=							0
                        _lowerCAmelCase												=							tokenizer.convert_ids_to_tokens(
                            __snake_case      ,      skip_special_tokens=__snake_case  )

                        for attr in attributes_list:
                              setattr(__snake_case      ,      attr + """_id"""      ,      __snake_case  )
                              self.assertEqual(getattr(__snake_case      ,      __snake_case  )      ,      __snake_case  )
                              self.assertEqual(getattr(__snake_case      ,      attr + """_id"""  )      ,      __snake_case  )

                              setattr(__snake_case      ,      attr + """_id"""      ,      __snake_case  )
                              self.assertEqual(getattr(__snake_case      ,      __snake_case  )      ,      __snake_case  )
                              self.assertEqual(getattr(__snake_case      ,      attr + """_id"""  )      ,      __snake_case  )

                        setattr(__snake_case      ,      """additional_special_tokens_ids"""      ,      []  )
                        self.assertListEqual(getattr(__snake_case      ,      """additional_special_tokens"""  )      ,      []  )
                        self.assertListEqual(getattr(__snake_case      ,      """additional_special_tokens_ids"""  )      ,      []  )

                        setattr(__snake_case      ,      """additional_special_tokens_ids"""      ,      [token_id_to_test_setters]  )
                        self.assertListEqual(getattr(__snake_case      ,      """additional_special_tokens"""  )      ,      [token_to_test_setters]  )
                        self.assertListEqual(getattr(__snake_case      ,      """additional_special_tokens_ids"""  )      ,      [token_id_to_test_setters]  )













'''simple docstring'''






import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property




@unittest.skipUnless(os.path.exists(snake_case_       )							,		'''Tatoeba directory does not exist.'''       )
class 			UpperCAmelCase					(      unittest.TestCase       ):




      @cached_property
      def     lowercase__   (      self      :			int  )    ->				Any:
            _lowerCAmelCase												=							tempfile.mkdtemp()
            return TatoebaConverter(save_dir=__snake_case  )




      @slow
      def     lowercase__   (      self      :			Dict  )    ->				int:
            self.resolver.convert_models(["""heb-eng"""]  )




      @slow
      def     lowercase__   (      self      :			Optional[int]  )    ->				Tuple:
            _lowerCAmelCase					,							_lowerCAmelCase												=							self.resolver.write_model_card("""opus-mt-he-en"""      ,      dry_run=__snake_case  )
            assert mmeta["long_pair"] == "heb-eng"






