





'''simple docstring'''




import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _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   A_	(  lowerCAmelCase_							,						unittest.TestCase			):
 _lowerCamelCase  : str           =							MobileBertTokenizer
 _lowerCamelCase  : Any           =							MobileBertTokenizerFast
 _lowerCamelCase  : Any           =							True
 _lowerCamelCase  : Optional[Any]           =							True
 _lowerCamelCase  : List[str]           =							filter_non_english
 _lowerCamelCase  : List[Any]           =							"""google/mobilebert-uncased"""




 def      lowercase	(					self       :    List[str]    ):
      super().setUp()

      _UpperCAmelCase     							=   [
          "[UNK]",
          "[CLS]",
          "[SEP]",
          "[PAD]",
          "[MASK]",
          "want",
          "##want",
          "##ed",
          "wa",
          "un",
          "runn",
          "##ing",
          ",",
          "low",
          "lowest",
      ]
      _UpperCAmelCase     							=   os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES["vocab_file"]    )
      with open(self.vocab_file	,			"w"	,			encoding="utf-8"    ) as vocab_writer:
           vocab_writer.write("".join([x + "\n" for x in vocab_tokens]    )    )

      _UpperCAmelCase     							=   [
          (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
          for tokenizer_def in self.tokenizers_list
      ]




 def      lowercase	(					self       :    Union[str, Any]	,			snake_case_       :    Any    ):
      _UpperCAmelCase     							=   "UNwant\u00E9d,running"
      _UpperCAmelCase     							=   "unwanted, running"
      return input_text, output_text




 def      lowercase	(					self       :    Union[str, Any]    ):
      _UpperCAmelCase     							=   self.tokenizer_class(self.vocab_file    )

      _UpperCAmelCase     							=   tokenizer.tokenize("UNwant\u00E9d,running"    )
      self.assertListEqual(snake_case_	,			["un", "##want", "##ed", ",", "runn", "##ing"]    )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_    )	,			[9, 6, 7, 1_2, 1_0, 1_1]    )




 def      lowercase	(					self       :    str    ):
      if not self.test_rust_tokenizer:
           return

      _UpperCAmelCase     							=   self.get_tokenizer()
      _UpperCAmelCase     							=   self.get_rust_tokenizer()

      _UpperCAmelCase     							=   "UNwant\u00E9d,running"

      _UpperCAmelCase     							=   tokenizer.tokenize(snake_case_    )
      _UpperCAmelCase     							=   rust_tokenizer.tokenize(snake_case_    )
      self.assertListEqual(snake_case_	,			snake_case_    )

      _UpperCAmelCase     							=   tokenizer.encode(snake_case_	,			add_special_tokens=snake_case_    )
      _UpperCAmelCase     							=   rust_tokenizer.encode(snake_case_	,			add_special_tokens=snake_case_    )
      self.assertListEqual(snake_case_	,			snake_case_    )

      _UpperCAmelCase     							=   self.get_rust_tokenizer()
      _UpperCAmelCase     							=   tokenizer.encode(snake_case_    )
      _UpperCAmelCase     							=   rust_tokenizer.encode(snake_case_    )
      self.assertListEqual(snake_case_	,			snake_case_    )

      # With lower casing
      _UpperCAmelCase     							=   self.get_tokenizer(do_lower_case=snake_case_    )
      _UpperCAmelCase     							=   self.get_rust_tokenizer(do_lower_case=snake_case_    )

      _UpperCAmelCase     							=   "UNwant\u00E9d,running"

      _UpperCAmelCase     							=   tokenizer.tokenize(snake_case_    )
      _UpperCAmelCase     							=   rust_tokenizer.tokenize(snake_case_    )
      self.assertListEqual(snake_case_	,			snake_case_    )

      _UpperCAmelCase     							=   tokenizer.encode(snake_case_	,			add_special_tokens=snake_case_    )
      _UpperCAmelCase     							=   rust_tokenizer.encode(snake_case_	,			add_special_tokens=snake_case_    )
      self.assertListEqual(snake_case_	,			snake_case_    )

      _UpperCAmelCase     							=   self.get_rust_tokenizer()
      _UpperCAmelCase     							=   tokenizer.encode(snake_case_    )
      _UpperCAmelCase     							=   rust_tokenizer.encode(snake_case_    )
      self.assertListEqual(snake_case_	,			snake_case_    )




 def      lowercase	(					self       :    Any    ):
      _UpperCAmelCase     							=   BasicTokenizer()

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




 def      lowercase	(					self       :    Optional[int]    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_    )

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




 def      lowercase	(					self       :    List[str]    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_	,			strip_accents=snake_case_    )

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




 def      lowercase	(					self       :    Optional[int]    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_	,			strip_accents=snake_case_    )

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




 def      lowercase	(					self       :    str    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_    )

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




 def      lowercase	(					self       :    Dict    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_    )

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




 def      lowercase	(					self       :    List[Any]    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_	,			strip_accents=snake_case_    )

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




 def      lowercase	(					self       :    Optional[int]    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_	,			strip_accents=snake_case_    )

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




 def      lowercase	(					self       :    Optional[Any]    ):
      _UpperCAmelCase     							=   BasicTokenizer(do_lower_case=snake_case_	,			never_split=["[UNK]"]    )

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




 def      lowercase	(					self       :    List[str]    ):
      _UpperCAmelCase     							=   ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

      _UpperCAmelCase     							=   {}
      for i, token in enumerate(snake_case_    ):
           _UpperCAmelCase     							=   i
      _UpperCAmelCase     							=   WordpieceTokenizer(vocab=snake_case_	,			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      lowercase	(					self       :    List[Any]    ):
      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      lowercase	(					self       :    Optional[int]    ):
      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      lowercase	(					self       :    str    ):
      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      lowercase	(					self       :    Any    ):
      _UpperCAmelCase     							=   self.get_tokenizer()
      _UpperCAmelCase     							=   self.get_rust_tokenizer()

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

      self.assertListEqual(
          [rust_tokenizer.tokenize(snake_case_    ) for t in ["Test", "\xad", "test"]]	,			[["[UNK]"], [], ["[UNK]"]]    )




 @slow
 def      lowercase	(					self       :    List[str]    ):
      _UpperCAmelCase     							=   self.tokenizer_class.from_pretrained("google/mobilebert-uncased"    )

      _UpperCAmelCase     							=   tokenizer.encode("sequence builders"	,			add_special_tokens=snake_case_    )
      _UpperCAmelCase     							=   tokenizer.encode("multi-sequence build"	,			add_special_tokens=snake_case_    )

      _UpperCAmelCase     							=   tokenizer.build_inputs_with_special_tokens(snake_case_    )
      _UpperCAmelCase     							=   tokenizer.build_inputs_with_special_tokens(snake_case_	,			snake_case_    )

      assert encoded_sentence == [1_0_1] + text + [1_0_2]
      assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]




 def      lowercase	(					self       :    Optional[Any]    ):
      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(snake_case_	,			**snake_case_    )

                _UpperCAmelCase     							=   f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
                _UpperCAmelCase     							=   tokenizer_r.encode_plus(
                    snake_case_	,			return_attention_mask=snake_case_	,			return_token_type_ids=snake_case_	,			return_offsets_mapping=snake_case_	,			add_special_tokens=snake_case_	,			)

                _UpperCAmelCase     							=   tokenizer_r.do_lower_case if hasattr(snake_case_	,			"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, 1_5), tokenizer_r.mask_token),
                        ((1_6, 2_1), "Allen"),
                        ((2_1, 2_3), "##NL"),
                        ((2_3, 2_4), "##P"),
                        ((2_5, 3_3), "sentence"),
                        ((3_3, 3_4), "."),
                        ((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, 1_5), tokenizer_r.mask_token),
                        ((1_6, 2_1), "allen"),
                        ((2_1, 2_3), "##nl"),
                        ((2_3, 2_4), "##p"),
                        ((2_5, 3_3), "sentence"),
                        ((3_3, 3_4), "."),
                        ((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      lowercase	(					self       :    List[str]    ):
      _UpperCAmelCase     							=   ["的", "人", "有"]
      _UpperCAmelCase     							=   "".join(snake_case_    )
      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(snake_case_	,			**snake_case_    )
                _UpperCAmelCase     							=   self.rust_tokenizer_class.from_pretrained(snake_case_	,			**snake_case_    )

                _UpperCAmelCase     							=   tokenizer_p.encode(snake_case_	,			add_special_tokens=snake_case_    )
                _UpperCAmelCase     							=   tokenizer_r.encode(snake_case_	,			add_special_tokens=snake_case_    )

                _UpperCAmelCase     							=   tokenizer_r.convert_ids_to_tokens(snake_case_    )
                _UpperCAmelCase     							=   tokenizer_p.convert_ids_to_tokens(snake_case_    )

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

                _UpperCAmelCase     							=   False
                _UpperCAmelCase     							=   self.rust_tokenizer_class.from_pretrained(snake_case_	,			**snake_case_    )
                _UpperCAmelCase     							=   self.tokenizer_class.from_pretrained(snake_case_	,			**snake_case_    )

                _UpperCAmelCase     							=   tokenizer_r.encode(snake_case_	,			add_special_tokens=snake_case_    )
                _UpperCAmelCase     							=   tokenizer_p.encode(snake_case_	,			add_special_tokens=snake_case_    )

                _UpperCAmelCase     							=   tokenizer_r.convert_ids_to_tokens(snake_case_    )
                _UpperCAmelCase     							=   tokenizer_p.convert_ids_to_tokens(snake_case_    )

                # 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(snake_case_    )
                ]
                self.assertListEqual(snake_case_	,			snake_case_    )
                self.assertListEqual(snake_case_	,			snake_case_    )











'''simple docstring'''




import warnings

from ...utils import is_sklearn_available, requires_backends


if is_sklearn_available():
  from scipy.stats import pearsonr, spearmanr
  from sklearn.metrics import fa_score, matthews_corrcoef


__SCREAMING_SNAKE_CASE     :List[str]       =				(
    '''This metric will be removed from the library soon, metrics should be handled with the 🤗 Evaluate '''
    '''library. You can have a look at this example script for pointers: '''
    '''https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_glue.py'''
)
def 	UpperCAmelCase_							(					__lowercase							:      Any			,     __lowercase							:      Tuple       )		->       int:


     '''simple docstring'''



     warnings.warn(__lowercase			,     __lowercase       )
     requires_backends(__lowercase			,     "sklearn"       )
     return (preds == labels).mean()
def 	UpperCAmelCase_							(					__lowercase							:      int			,     __lowercase							:      str       )		->       Optional[Any]:


     '''simple docstring'''



     warnings.warn(__lowercase			,     __lowercase       )
     requires_backends(__lowercase			,     "sklearn"       )
     _UpperCAmelCase     							=   simple_accuracy(__lowercase			,     __lowercase       )
     _UpperCAmelCase     							=   fa_score(y_true=__lowercase			,     y_pred=__lowercase       )
     return {
         "acc": acc,
         "f1": fa,
         "acc_and_f1": (acc + fa) / 2,
     }
def 	UpperCAmelCase_							(					__lowercase							:      Optional[int]			,     __lowercase							:      List[str]       )		->       List[Any]:


     '''simple docstring'''



     warnings.warn(__lowercase			,     __lowercase       )
     requires_backends(__lowercase			,     "sklearn"       )
     _UpperCAmelCase     							=   pearsonr(__lowercase			,     __lowercase       )[0]
     _UpperCAmelCase     							=   spearmanr(__lowercase			,     __lowercase       )[0]
     return {
         "pearson": pearson_corr,
         "spearmanr": spearman_corr,
         "corr": (pearson_corr + spearman_corr) / 2,
     }
def 	UpperCAmelCase_							(					__lowercase							:      Optional[Any]			,     __lowercase							:      str			,     __lowercase							:      str       )		->       Tuple:


     '''simple docstring'''



     warnings.warn(__lowercase			,     __lowercase       )
     requires_backends(__lowercase			,     "sklearn"       )
     assert len(__lowercase       ) == len(__lowercase       ), f'Predictions and labels have mismatched lengths {len(__lowercase       )} and {len(__lowercase       )}'
     if task_name == "cola":
          return {"mcc": matthews_corrcoef(__lowercase			,     __lowercase       )}
     elif task_name == "sst-2":
          return {"acc": simple_accuracy(__lowercase			,     __lowercase       )}
     elif task_name == "mrpc":
          return acc_and_fa(__lowercase			,     __lowercase       )
     elif task_name == "sts-b":
          return pearson_and_spearman(__lowercase			,     __lowercase       )
     elif task_name == "qqp":
          return acc_and_fa(__lowercase			,     __lowercase       )
     elif task_name == "mnli":
          return {"mnli/acc": simple_accuracy(__lowercase			,     __lowercase       )}
     elif task_name == "mnli-mm":
          return {"mnli-mm/acc": simple_accuracy(__lowercase			,     __lowercase       )}
     elif task_name == "qnli":
          return {"acc": simple_accuracy(__lowercase			,     __lowercase       )}
     elif task_name == "rte":
          return {"acc": simple_accuracy(__lowercase			,     __lowercase       )}
     elif task_name == "wnli":
          return {"acc": simple_accuracy(__lowercase			,     __lowercase       )}
     elif task_name == "hans":
          return {"acc": simple_accuracy(__lowercase			,     __lowercase       )}
     else:
          raise KeyError(__lowercase       )






def 	UpperCAmelCase_							(					__lowercase							:      List[Any]			,     __lowercase							:      Dict			,     __lowercase							:      str       )		->       Union[str, Any]:


     '''simple docstring'''



     warnings.warn(__lowercase			,     __lowercase       )
     requires_backends(__lowercase			,     "sklearn"       )
     if len(__lowercase       ) != len(__lowercase       ):
          raise ValueError(f'Predictions and labels have mismatched lengths {len(__lowercase       )} and {len(__lowercase       )}'       )
     if task_name == "xnli":
          return {"acc": simple_accuracy(__lowercase			,     __lowercase       )}
     else:
          raise KeyError(__lowercase       )




