




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     lowerCamelCase__(					__lowerCamelCase ,     unittest.TestCase):
      UpperCAmelCase__      :	int    		=   MobileBertTokenizer
      UpperCAmelCase__      :	Any    		=   MobileBertTokenizerFast
      UpperCAmelCase__      :	int    		=   True
      UpperCAmelCase__      :	Any    		=   True
      UpperCAmelCase__      :	List[str]    		=   filter_non_english
      UpperCAmelCase__      :	Any    		=   'google/mobilebert-uncased'
      def 			lowerCAmelCase__						(				self: List[str]   ):
             super().setUp()

             __lowerCamelCase   =						[
                 """[UNK]""",
                 """[CLS]""",
                 """[SEP]""",
                 """[PAD]""",
                 """[MASK]""",
                 """want""",
                 """##want""",
                 """##ed""",
                 """wa""",
                 """un""",
                 """runn""",
                 """##ing""",
                 """,""",
                 """low""",
                 """lowest""",
             ]
             __lowerCamelCase   =						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]   )   )

             __lowerCamelCase   =						[
                 (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 			lowerCAmelCase__						(				self: Tuple    ,       UpperCamelCase_: int   ):
             __lowerCamelCase   =						"""UNwant\u00E9d,running"""
             __lowerCamelCase   =						"""unwanted, running"""
             return input_text, output_text
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						self.tokenizer_class(self.vocab_file   )

             __lowerCamelCase   =						tokenizer.tokenize("""UNwant\u00E9d,running"""   )
             self.assertListEqual(UpperCamelCase_    ,       ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]   )
             self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_   )    ,       [9, 6, 7, 12, 10, 11]   )
      def 			lowerCAmelCase__						(				self: List[str]   ):
             if not self.test_rust_tokenizer:
                    return

             __lowerCamelCase   =						self.get_tokenizer()
             __lowerCamelCase   =						self.get_rust_tokenizer()

             __lowerCamelCase   =						"""UNwant\u00E9d,running"""

             __lowerCamelCase   =						tokenizer.tokenize(UpperCamelCase_   )
             __lowerCamelCase   =						rust_tokenizer.tokenize(UpperCamelCase_   )
             self.assertListEqual(UpperCamelCase_    ,       UpperCamelCase_   )

             __lowerCamelCase   =						tokenizer.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )
             __lowerCamelCase   =						rust_tokenizer.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )
             self.assertListEqual(UpperCamelCase_    ,       UpperCamelCase_   )

             __lowerCamelCase   =						self.get_rust_tokenizer()
             __lowerCamelCase   =						tokenizer.encode(UpperCamelCase_   )
             __lowerCamelCase   =						rust_tokenizer.encode(UpperCamelCase_   )
             self.assertListEqual(UpperCamelCase_    ,       UpperCamelCase_   )

             # With lower casing
             __lowerCamelCase   =						self.get_tokenizer(do_lower_case=UpperCamelCase_   )
             __lowerCamelCase   =						self.get_rust_tokenizer(do_lower_case=UpperCamelCase_   )

             __lowerCamelCase   =						"""UNwant\u00E9d,running"""

             __lowerCamelCase   =						tokenizer.tokenize(UpperCamelCase_   )
             __lowerCamelCase   =						rust_tokenizer.tokenize(UpperCamelCase_   )
             self.assertListEqual(UpperCamelCase_    ,       UpperCamelCase_   )

             __lowerCamelCase   =						tokenizer.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )
             __lowerCamelCase   =						rust_tokenizer.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )
             self.assertListEqual(UpperCamelCase_    ,       UpperCamelCase_   )

             __lowerCamelCase   =						self.get_rust_tokenizer()
             __lowerCamelCase   =						tokenizer.encode(UpperCamelCase_   )
             __lowerCamelCase   =						rust_tokenizer.encode(UpperCamelCase_   )
             self.assertListEqual(UpperCamelCase_    ,       UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						BasicTokenizer()

             self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""   )    ,       ["""ah""", """\u535A""", """\u63A8""", """zz"""]   )
      def 			lowerCAmelCase__						(				self: Optional[int]   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """   )    ,       ["""hello""", """!""", """how""", """are""", """you""", """?"""]   )
             self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""   )    ,       ["""hello"""]   )
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_    ,       strip_accents=UpperCamelCase_   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """   )    ,       ["""hällo""", """!""", """how""", """are""", """you""", """?"""]   )
             self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""   )    ,       ["""h\u00E9llo"""]   )
      def 			lowerCAmelCase__						(				self: int   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_    ,       strip_accents=UpperCamelCase_   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """   )    ,       ["""hallo""", """!""", """how""", """are""", """you""", """?"""]   )
             self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""   )    ,       ["""hello"""]   )
      def 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """   )    ,       ["""hallo""", """!""", """how""", """are""", """you""", """?"""]   )
             self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""   )    ,       ["""hello"""]   )
      def 			lowerCAmelCase__						(				self: List[Any]   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """   )    ,       ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]   )
      def 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_    ,       strip_accents=UpperCamelCase_   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """   )    ,       ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]   )
      def 			lowerCAmelCase__						(				self: List[Any]   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_    ,       strip_accents=UpperCamelCase_   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """   )    ,       ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]   )
      def 			lowerCAmelCase__						(				self: Optional[Any]   ):
             __lowerCamelCase   =						BasicTokenizer(do_lower_case=UpperCamelCase_    ,       never_split=["""[UNK]"""]   )

             self.assertListEqual(
                 tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""   )    ,       ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]   )
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

             __lowerCamelCase   =						{}
             for i, token in enumerate(UpperCamelCase_   ):
                    __lowerCamelCase   =						i
             __lowerCamelCase   =						WordpieceTokenizer(vocab=UpperCamelCase_    ,       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 			lowerCAmelCase__						(				self: str   ):
             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 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             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 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             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 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						self.get_tokenizer()
             __lowerCamelCase   =						self.get_rust_tokenizer()

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

             self.assertListEqual(
                 [rust_tokenizer.tokenize(UpperCamelCase_   ) for t in ["""Test""", """\xad""", """test"""]]    ,       [["""[UNK]"""], [], ["""[UNK]"""]]   )
      @slow
      def 			lowerCAmelCase__						(				self: str   ):
             __lowerCamelCase   =						self.tokenizer_class.from_pretrained("""google/mobilebert-uncased"""   )

             __lowerCamelCase   =						tokenizer.encode("""sequence builders"""    ,       add_special_tokens=UpperCamelCase_   )
             __lowerCamelCase   =						tokenizer.encode("""multi-sequence build"""    ,       add_special_tokens=UpperCamelCase_   )

             __lowerCamelCase   =						tokenizer.build_inputs_with_special_tokens(UpperCamelCase_   )
             __lowerCamelCase   =						tokenizer.build_inputs_with_special_tokens(UpperCamelCase_    ,       UpperCamelCase_   )

             assert encoded_sentence == [1_01] + text + [1_02]
             assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
      def 			lowerCAmelCase__						(				self: Dict   ):
             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                           __lowerCamelCase   =						self.rust_tokenizer_class.from_pretrained(UpperCamelCase_    ,       **UpperCamelCase_   )

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

                           __lowerCamelCase   =						tokenizer_r.do_lower_case if hasattr(UpperCamelCase_    ,       """do_lower_case"""   ) else False
                           __lowerCamelCase   =						(
                               [
                                   ((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 			lowerCAmelCase__						(				self: List[str]   ):
             __lowerCamelCase   =						["""的""", """人""", """有"""]
             __lowerCamelCase   =						"""""".join(UpperCamelCase_   )
             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                           __lowerCamelCase   =						True
                           __lowerCamelCase   =						self.tokenizer_class.from_pretrained(UpperCamelCase_    ,       **UpperCamelCase_   )
                           __lowerCamelCase   =						self.rust_tokenizer_class.from_pretrained(UpperCamelCase_    ,       **UpperCamelCase_   )

                           __lowerCamelCase   =						tokenizer_p.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )
                           __lowerCamelCase   =						tokenizer_r.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )

                           __lowerCamelCase   =						tokenizer_r.convert_ids_to_tokens(UpperCamelCase_   )
                           __lowerCamelCase   =						tokenizer_p.convert_ids_to_tokens(UpperCamelCase_   )

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

                           __lowerCamelCase   =						False
                           __lowerCamelCase   =						self.rust_tokenizer_class.from_pretrained(UpperCamelCase_    ,       **UpperCamelCase_   )
                           __lowerCamelCase   =						self.tokenizer_class.from_pretrained(UpperCamelCase_    ,       **UpperCamelCase_   )

                           __lowerCamelCase   =						tokenizer_r.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )
                           __lowerCamelCase   =						tokenizer_p.encode(UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_   )

                           __lowerCamelCase   =						tokenizer_r.convert_ids_to_tokens(UpperCamelCase_   )
                           __lowerCamelCase   =						tokenizer_p.convert_ids_to_tokens(UpperCamelCase_   )

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







from typing import Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import get_image_size, pad, rescale, to_channel_dimension_format
from ...image_utils import ChannelDimension, ImageInput, make_list_of_images, to_numpy_array, valid_images
from ...utils import TensorType, logging


UpperCAmelCase_									=	logging.get_logger(__name__)





class     lowerCamelCase__(					__lowerCamelCase):
      UpperCAmelCase__      :	Tuple    		=   ['pixel_values']
      def __init__(				self: Any    ,       UpperCamelCase_: bool = True    ,       UpperCamelCase_: Union[int, float] = 1 / 2_55    ,       UpperCamelCase_: bool = True    ,       UpperCamelCase_: int = 8    ,       **UpperCamelCase_: Tuple    ,       ):
             super().__init__(**UpperCamelCase_   )

             __lowerCamelCase   =						do_rescale
             __lowerCamelCase   =						rescale_factor
             __lowerCamelCase   =						do_pad
             __lowerCamelCase   =						pad_size
      def 			lowerCAmelCase__						(				self: List[str]    ,       UpperCamelCase_: np.ndarray    ,       UpperCamelCase_: float    ,       UpperCamelCase_: Optional[Union[str, ChannelDimension]] = None    ,       **UpperCamelCase_: Tuple   ):
             return rescale(UpperCamelCase_    ,       scale=UpperCamelCase_    ,       data_format=UpperCamelCase_    ,       **UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: Union[str, Any]    ,       UpperCamelCase_: np.ndarray    ,       UpperCamelCase_: int    ,       UpperCamelCase_: Optional[Union[str, ChannelDimension]] = None   ):
             __lowerCamelCase,   __lowerCamelCase   =						get_image_size(UpperCamelCase_   )
             __lowerCamelCase   =						(old_height // size + 1) * size - old_height
             __lowerCamelCase   =						(old_width // size + 1) * size - old_width

             return pad(UpperCamelCase_    ,       ((0, pad_height), (0, pad_width))    ,       mode="""symmetric"""    ,       data_format=UpperCamelCase_   )




      def 			lowerCAmelCase__						(				self: str    ,       UpperCamelCase_: ImageInput    ,       UpperCamelCase_: Optional[bool] = None    ,       UpperCamelCase_: Optional[float] = None    ,       UpperCamelCase_: Optional[bool] = None    ,       UpperCamelCase_: Optional[int] = None    ,       UpperCamelCase_: Optional[Union[str, TensorType]] = None    ,       UpperCamelCase_: Union[str, ChannelDimension] = ChannelDimension.FIRST    ,       **UpperCamelCase_: Any    ,       ):
             __lowerCamelCase   =						do_rescale if do_rescale is not None else self.do_rescale
             __lowerCamelCase   =						rescale_factor if rescale_factor is not None else self.rescale_factor
             __lowerCamelCase   =						do_pad if do_pad is not None else self.do_pad
             __lowerCamelCase   =						pad_size if pad_size is not None else self.pad_size

             __lowerCamelCase   =						make_list_of_images(UpperCamelCase_   )

             if not valid_images(UpperCamelCase_   ):
                    raise ValueError(
                        """Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, """
                        """torch.Tensor, tf.Tensor or jax.ndarray."""   )

             if do_rescale and rescale_factor is None:
                    raise ValueError("""Rescale factor must be specified if do_rescale is True."""   )

             # All transformations expect numpy arrays.
             __lowerCamelCase   =						[to_numpy_array(UpperCamelCase_   ) for image in images]

             if do_rescale:
                    __lowerCamelCase   =						[self.rescale(image=UpperCamelCase_    ,       scale=UpperCamelCase_   ) for image in images]

             if do_pad:
                    __lowerCamelCase   =						[self.pad(UpperCamelCase_    ,       size=UpperCamelCase_   ) for image in images]

             __lowerCamelCase   =						[to_channel_dimension_format(UpperCamelCase_    ,       UpperCamelCase_   ) for image in images]

             __lowerCamelCase   =						{"""pixel_values""": images}
             return BatchFeature(data=UpperCamelCase_    ,       tensor_type=UpperCamelCase_   )

