


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__						(				UpperCAmelCase       ,						unittest.TestCase   ):






			"""simple docstring"""






			_UpperCamelCase		:       List[str] 			=		RoCBertTokenizer
			_UpperCamelCase		:       Optional[int] 			=		None
			_UpperCamelCase		:       Dict 			=		False
			_UpperCamelCase		:       int 			=		True
			_UpperCamelCase		:       Any 			=		filter_non_english




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							RoCBertBasicTokenizer()

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




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							RoCBertBasicTokenizer(do_lower_case=a_  )

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




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							RoCBertBasicTokenizer(do_lower_case=a_   ,    strip_accents=a_  )

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




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						UpperCamelCase__       =							RoCBertBasicTokenizer(do_lower_case=a_   ,    strip_accents=a_  )

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




			def 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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 					snake_case__					(				self  ):

						'''simple docstring'''


						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'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


_a					:			Any							=    {
    'configuration_groupvit': [
        'GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'GroupViTConfig',
        'GroupViTOnnxConfig',
        'GroupViTTextConfig',
        'GroupViTVisionConfig',
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a					:			Union[str, Any]							=    [
      'GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'GroupViTModel',
      'GroupViTPreTrainedModel',
      'GroupViTTextModel',
      'GroupViTVisionModel',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a					:			Tuple							=    [
      'TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TFGroupViTModel',
      'TFGroupViTPreTrainedModel',
      'TFGroupViTTextModel',
      'TFGroupViTVisionModel',
  ]

if TYPE_CHECKING:
  from .configuration_groupvit import (
      GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      GroupViTConfig,
      GroupViTOnnxConfig,
      GroupViTTextConfig,
      GroupViTVisionConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_groupvit import (
        GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        GroupViTModel,
        GroupViTPreTrainedModel,
        GroupViTTextModel,
        GroupViTVisionModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_groupvit import (
        TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFGroupViTModel,
        TFGroupViTPreTrainedModel,
        TFGroupViTTextModel,
        TFGroupViTVisionModel,
    )

else:
  import sys

  _a					:			Union[str, Any]							=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


