





import numpy as np
import torch
from imwatermark import WatermarkEncoder


# Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L66
UpperCAmelCase__   : str         =       0B1011_0011_1110_1100_1001_0000_0111_1011_1011_0001_1001_1110
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
UpperCAmelCase__   : Any         =       [int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]






class 							__lowercase			:






      def __init__(		self)     ->       int:
       __snake_case         =			WATERMARK_BITS
       __snake_case         =			WatermarkEncoder()

       self.encoder.set_watermark('bits'			,							self.watermark)







      def 			_a						(		self			,							lowercase_)     ->       Dict:
       # can't encode images that are smaller than 256
       if images.shape[-1] < 2_5_6:
        return images

       __snake_case         =			(2_5_5 * (images / 2 + 0.5)).cpu().permute(0			,							2			,							3			,							1).float().numpy()

       __snake_case         =			[self.encoder.encode(__snake_case			,							'dwtDct') for image in images]

       __snake_case         =			torch.from_numpy(np.array(__snake_case)).permute(0			,							3			,							1			,							2)

       __snake_case         =			torch.clamp(2 * (images / 2_5_5 - 0.5)			,							min=-1.0			,							max=1.0)
       return images








'''simple docstring'''






import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin




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




      def 							lowercase__       (     self     :					Dict    )							-> Optional[int]:
            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]    )    )




      def 							lowercase__       (     self     :					Tuple     ,     __snake_case     :					str    )							-> List[str]:
            _lowerCAmelCase					=				"""UNwant\u00E9d,running"""
            _lowerCAmelCase					=				"""unwanted, running"""
            return input_text, output_text




      def 							lowercase__       (     self     :					Union[str, Any]    )							-> Optional[int]:
            _lowerCAmelCase					=				self.tokenizer_class(self.vocab_file    )

            _lowerCAmelCase					=				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, 12, 10, 11]    )




      def 							lowercase__       (     self     :					List[Any]    )							-> List[str]:
            _lowerCAmelCase					=				BasicTokenizer()

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




      def 							lowercase__       (     self     :					Optional[Any]    )							-> List[Any]:
            _lowerCAmelCase					=				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     :					Dict    )							-> int:
            _lowerCAmelCase					=				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     :					Dict    )							-> int:
            _lowerCAmelCase					=				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     :					Dict    )							-> Optional[Any]:
            _lowerCAmelCase					=				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     :					str    )							-> List[str]:
            _lowerCAmelCase					=				BasicTokenizer(do_lower_case=__snake_case    )

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




      def 							lowercase__       (     self     :					Union[str, Any]    )							-> str:
            _lowerCAmelCase					=				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     :					Tuple    )							-> str:
            _lowerCAmelCase					=				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     :					Dict    )							-> Optional[int]:
            _lowerCAmelCase					=				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     :					Any    )							-> Dict:
            _lowerCAmelCase					=				["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

            _lowerCAmelCase					=				{}
            for i, token in enumerate(__snake_case    ):
                  _lowerCAmelCase					=				i
            _lowerCAmelCase					=				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"""]    )




      @require_torch
      def 							lowercase__       (     self     :					Optional[int]    )							-> Optional[Any]:
            _lowerCAmelCase					=				self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""    )

            _lowerCAmelCase					=				["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
            _lowerCAmelCase					=				[10_37, 21_46, 2_04_23, 20_05, 76_80, 78_49, 39_89, 10_12, 1_02]
            _lowerCAmelCase					=				tokenizer(__snake_case     ,     padding=__snake_case     ,     return_tensors="""pt"""    )
            self.assertIsInstance(__snake_case     ,     __snake_case    )
            _lowerCAmelCase					=				list(batch.input_ids.numpy()[0]    )
            self.assertListEqual(__snake_case     ,     __snake_case    )

            self.assertEqual((2, 9)     ,     batch.input_ids.shape    )
            self.assertEqual((2, 9)     ,     batch.attention_mask.shape    )




      def 							lowercase__       (     self     :					List[Any]    )							-> 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     :					str    )							-> 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 							lowercase__       (     self     :					int    )							-> int:
            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(""" """    )    )




      @slow
      def 							lowercase__       (     self     :					int    )							-> Optional[int]:
            _lowerCAmelCase					=				self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""    )

            _lowerCAmelCase					=				tokenizer.encode("""sequence builders"""     ,     add_special_tokens=__snake_case    )
            _lowerCAmelCase					=				tokenizer.encode("""multi-sequence build"""     ,     add_special_tokens=__snake_case    )

            _lowerCAmelCase					=				tokenizer.build_inputs_with_special_tokens(__snake_case    )
            _lowerCAmelCase					=				tokenizer.build_inputs_with_special_tokens(__snake_case     ,     __snake_case    )

            assert encoded_sentence == text + [1_02]
            assert encoded_pair == text + [1_02] + text_a + [1_02]






