





'''simple docstring'''






import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A__    :       List[Any]              =logging.get_logger(__name__)




class 			UpperCAmelCase					(      snake_case_       ):
      _lowercase:      List[Any]											=       ['''input_ids''', '''attention_mask''']




      def __init__(      self      :			Optional[int]      ,      __snake_case      :			Any="</s>"      ,      __snake_case      :			int="<unk>"      ,      __snake_case      :			str="<pad>"      ,      __snake_case      :			Any=1_25      ,      __snake_case      :			Optional[int]=None      ,      **__snake_case      :			List[str]      ,      )    ->				None:
            # Add extra_ids to the special token list
            if extra_ids > 0 and additional_special_tokens is None:
                  _lowerCAmelCase												=							[f"<extra_id_{i}>" for i in range(__snake_case  )]
            elif extra_ids > 0 and additional_special_tokens is not None:
                  # Check that we have the right number of extra_id special tokens
                  _lowerCAmelCase												=							len(set(filter(lambda __snake_case  : bool("""extra_id""" in str(__snake_case  )  )      ,      __snake_case  )  )  )
                  if extra_tokens != extra_ids:
                        raise ValueError(
                            f"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"
                            """ provided to ByT5Tokenizer. In this case the additional_special_tokens must include the"""
                            """ extra_ids tokens"""  )

            _lowerCAmelCase												=							AddedToken(__snake_case      ,      lstrip=__snake_case      ,      rstrip=__snake_case  ) if isinstance(__snake_case      ,      __snake_case  ) else pad_token
            _lowerCAmelCase												=							AddedToken(__snake_case      ,      lstrip=__snake_case      ,      rstrip=__snake_case  ) if isinstance(__snake_case      ,      __snake_case  ) else eos_token
            _lowerCAmelCase												=							AddedToken(__snake_case      ,      lstrip=__snake_case      ,      rstrip=__snake_case  ) if isinstance(__snake_case      ,      __snake_case  ) else unk_token

            super().__init__(
                eos_token=__snake_case      ,      unk_token=__snake_case      ,      pad_token=__snake_case      ,      extra_ids=__snake_case      ,      additional_special_tokens=__snake_case      ,      **__snake_case      ,      )

            _lowerCAmelCase												=							extra_ids

            _lowerCAmelCase												=							2**8  # utf is 8 bits

            # define special tokens dict
            _lowerCAmelCase												=							{
                self.pad_token: 0,
                self.eos_token: 1,
                self.unk_token: 2,
            }
            _lowerCAmelCase												=							len(self.special_tokens_encoder  )
            _lowerCAmelCase												=							len(__snake_case  )
            for i, token in enumerate(__snake_case  ):
                  _lowerCAmelCase												=							self.vocab_size + i - n
            _lowerCAmelCase												=							{v: k for k, v in self.special_tokens_encoder.items()}




      @property
      def     lowercase__   (      self      :			Dict  )    ->				Optional[Any]:
            return self._utf_vocab_size + self._num_special_tokens + self._extra_ids




      def     lowercase__   (      self      :			int      ,      __snake_case      :			List[int]      ,      __snake_case      :			Optional[List[int]] = None      ,      __snake_case      :			bool = False  )    ->				List[int]:
            if already_has_special_tokens:
                  return super().get_special_tokens_mask(
                      token_ids_a=__snake_case      ,      token_ids_a=__snake_case      ,      already_has_special_tokens=__snake_case  )

            # normal case: some special tokens
            if token_ids_a is None:
                  return ([0] * len(__snake_case  )) + [1]
            return ([0] * len(__snake_case  )) + [1] + ([0] * len(__snake_case  )) + [1]




      def     lowercase__   (      self      :			List[Any]      ,      __snake_case      :			List[int]  )    ->				List[int]:
            if len(__snake_case  ) > 0 and token_ids[-1] == self.eos_token_id:
                  warnings.warn(
                      f"This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"
                      """ eos tokens being added."""  )
                  return token_ids
            else:
                  return token_ids + [self.eos_token_id]




      def     lowercase__   (      self      :			Any      ,      __snake_case      :			List[int]      ,      __snake_case      :			Optional[List[int]] = None  )    ->				List[int]:
            _lowerCAmelCase												=							[self.eos_token_id]

            if token_ids_a is None:
                  return len(token_ids_a + eos  ) * [0]
            return len(token_ids_a + eos + token_ids_a + eos  ) * [0]




      def     lowercase__   (      self      :			List[str]      ,      __snake_case      :			List[int]      ,      __snake_case      :			Optional[List[int]] = None  )    ->				List[int]:
            _lowerCAmelCase												=							self._add_eos_if_not_present(__snake_case  )
            if token_ids_a is None:
                  return token_ids_a
            else:
                  _lowerCAmelCase												=							self._add_eos_if_not_present(__snake_case  )
                  return token_ids_a + token_ids_a




      def     lowercase__   (      self      :			Tuple      ,      __snake_case      :			str  )    ->				List[str]:
            _lowerCAmelCase												=							[chr(__snake_case  ) for i in text.encode("""utf-8"""  )]
            return tokens




      def     lowercase__   (      self      :			Any      ,      __snake_case      :			int  )    ->				int:
            if token in self.special_tokens_encoder:
                  _lowerCAmelCase												=							self.special_tokens_encoder[token]
            elif token in self.added_tokens_encoder:
                  _lowerCAmelCase												=							self.added_tokens_encoder[token]
            elif len(__snake_case  ) != 1:
                  _lowerCAmelCase												=							self.unk_token_id
            else:
                  _lowerCAmelCase												=							ord(__snake_case  ) + self._num_special_tokens
            return token_id




      def     lowercase__   (      self      :			Union[str, Any]      ,      __snake_case      :			Tuple  )    ->				Optional[int]:
            if index in self.special_tokens_decoder:
                  _lowerCAmelCase												=							self.special_tokens_decoder[index]
            else:
                  _lowerCAmelCase												=							chr(index - self._num_special_tokens  )
            return token




      def     lowercase__   (      self      :			Dict      ,      __snake_case      :			Dict  )    ->				Any:
            _lowerCAmelCase												=							b""""""
            for token in tokens:
                  if token in self.special_tokens_decoder:
                        _lowerCAmelCase												=							self.special_tokens_decoder[token].encode("""utf-8"""  )
                  elif token in self.added_tokens_decoder:
                        _lowerCAmelCase												=							self.special_tokens_decoder[token].encode("""utf-8"""  )
                  elif token in self.special_tokens_encoder:
                        _lowerCAmelCase												=							token.encode("""utf-8"""  )
                  elif token in self.added_tokens_encoder:
                        _lowerCAmelCase												=							token.encode("""utf-8"""  )
                  else:
                        _lowerCAmelCase												=							bytes([ord(__snake_case  )]  )
                  bstring += tok_string
            _lowerCAmelCase												=							bstring.decode("""utf-8"""      ,      errors="""ignore"""  )
            return string




      def     lowercase__   (      self      :			Dict      ,      __snake_case      :			str      ,      __snake_case      :			Optional[str] = None  )    ->				Tuple[str]:
            return ()













'''simple docstring'''






import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
      from PIL import Image

      from transformers import CLIPSegProcessor, ViTImageProcessor




@require_vision
class 			UpperCAmelCase					(      unittest.TestCase       ):




      def     lowercase__   (      self      :			List[str]  )    ->				Dict:
            _lowerCAmelCase												=							tempfile.mkdtemp()

            # fmt: off
            _lowerCAmelCase												=							["""l""", """o""", """w""", """e""", """r""", """s""", """t""", """i""", """d""", """n""", """lo""", """l</w>""", """w</w>""", """r</w>""", """t</w>""", """low</w>""", """er</w>""", """lowest</w>""", """newer</w>""", """wider""", """<unk>""", """<|startoftext|>""", """<|endoftext|>"""]
            # fmt: on
            _lowerCAmelCase												=							dict(zip(__snake_case      ,      range(len(__snake_case  )  )  )  )
            _lowerCAmelCase												=							["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>""", """"""]
            _lowerCAmelCase												=							{"""unk_token""": """<unk>"""}

            _lowerCAmelCase												=							os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES["""vocab_file"""]  )
            _lowerCAmelCase												=							os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES["""merges_file"""]  )
            with open(self.vocab_file      ,      """w"""      ,      encoding="""utf-8"""  ) as fp:
                  fp.write(json.dumps(__snake_case  ) + """\n"""  )
            with open(self.merges_file      ,      """w"""      ,      encoding="""utf-8"""  ) as fp:
                  fp.write("""\n""".join(__snake_case  )  )

            _lowerCAmelCase												=							{
                """do_resize""": True,
                """size""": 20,
                """do_center_crop""": True,
                """crop_size""": 18,
                """do_normalize""": True,
                """image_mean""": [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
                """image_std""": [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
            }
            _lowerCAmelCase												=							os.path.join(self.tmpdirname      ,      __snake_case  )
            with open(self.image_processor_file      ,      """w"""      ,      encoding="""utf-8"""  ) as fp:
                  json.dump(__snake_case      ,      __snake_case  )




      def     lowercase__   (      self      :			Optional[int]      ,      **__snake_case      :			Dict  )    ->				List[str]:
            return CLIPTokenizer.from_pretrained(self.tmpdirname      ,      **__snake_case  )




      def     lowercase__   (      self      :			List[str]      ,      **__snake_case      :			Any  )    ->				List[Any]:
            return CLIPTokenizerFast.from_pretrained(self.tmpdirname      ,      **__snake_case  )




      def     lowercase__   (      self      :			Tuple      ,      **__snake_case      :			List[str]  )    ->				int:
            return ViTImageProcessor.from_pretrained(self.tmpdirname      ,      **__snake_case  )




      def     lowercase__   (      self      :			str  )    ->				Optional[Any]:
            shutil.rmtree(self.tmpdirname  )




      def     lowercase__   (      self      :			str  )    ->				List[Any]:
            _lowerCAmelCase												=							[np.random.randint(2_55      ,      size=(3, 30, 4_00)      ,      dtype=np.uinta  )]

            _lowerCAmelCase												=							[Image.fromarray(np.moveaxis(__snake_case      ,      0      ,      -1  )  ) for x in image_inputs]

            return image_inputs




      def     lowercase__   (      self      :			Optional[Any]  )    ->				List[str]:
            _lowerCAmelCase												=							self.get_tokenizer()
            _lowerCAmelCase												=							self.get_rust_tokenizer()
            _lowerCAmelCase												=							self.get_image_processor()

            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=__snake_case      ,      image_processor=__snake_case  )
            processor_slow.save_pretrained(self.tmpdirname  )
            _lowerCAmelCase												=							CLIPSegProcessor.from_pretrained(self.tmpdirname      ,      use_fast=__snake_case  )

            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=__snake_case      ,      image_processor=__snake_case  )
            processor_fast.save_pretrained(self.tmpdirname  )
            _lowerCAmelCase												=							CLIPSegProcessor.from_pretrained(self.tmpdirname  )

            self.assertEqual(processor_slow.tokenizer.get_vocab()      ,      tokenizer_slow.get_vocab()  )
            self.assertEqual(processor_fast.tokenizer.get_vocab()      ,      tokenizer_fast.get_vocab()  )
            self.assertEqual(tokenizer_slow.get_vocab()      ,      tokenizer_fast.get_vocab()  )
            self.assertIsInstance(processor_slow.tokenizer      ,      __snake_case  )
            self.assertIsInstance(processor_fast.tokenizer      ,      __snake_case  )

            self.assertEqual(processor_slow.image_processor.to_json_string()      ,      image_processor.to_json_string()  )
            self.assertEqual(processor_fast.image_processor.to_json_string()      ,      image_processor.to_json_string()  )
            self.assertIsInstance(processor_slow.image_processor      ,      __snake_case  )
            self.assertIsInstance(processor_fast.image_processor      ,      __snake_case  )




      def     lowercase__   (      self      :			Optional[int]  )    ->				Dict:
            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=self.get_tokenizer()      ,      image_processor=self.get_image_processor()  )
            processor.save_pretrained(self.tmpdirname  )

            _lowerCAmelCase												=							self.get_tokenizer(bos_token="""(BOS)"""      ,      eos_token="""(EOS)"""  )
            _lowerCAmelCase												=							self.get_image_processor(do_normalize=__snake_case      ,      padding_value=1.0  )

            _lowerCAmelCase												=							CLIPSegProcessor.from_pretrained(
                self.tmpdirname      ,      bos_token="""(BOS)"""      ,      eos_token="""(EOS)"""      ,      do_normalize=__snake_case      ,      padding_value=1.0  )

            self.assertEqual(processor.tokenizer.get_vocab()      ,      tokenizer_add_kwargs.get_vocab()  )
            self.assertIsInstance(processor.tokenizer      ,      __snake_case  )

            self.assertEqual(processor.image_processor.to_json_string()      ,      image_processor_add_kwargs.to_json_string()  )
            self.assertIsInstance(processor.image_processor      ,      __snake_case  )




      def     lowercase__   (      self      :			Tuple  )    ->				List[Any]:
            _lowerCAmelCase												=							self.get_image_processor()
            _lowerCAmelCase												=							self.get_tokenizer()

            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=__snake_case      ,      image_processor=__snake_case  )

            _lowerCAmelCase												=							self.prepare_image_inputs()

            _lowerCAmelCase												=							image_processor(__snake_case      ,      return_tensors="""np"""  )
            _lowerCAmelCase												=							processor(images=__snake_case      ,      return_tensors="""np"""  )

            for key in input_feat_extract.keys():
                  self.assertAlmostEqual(input_feat_extract[key].sum()      ,      input_processor[key].sum()      ,      delta=1E-2  )




      def     lowercase__   (      self      :			Any  )    ->				str:
            _lowerCAmelCase												=							self.get_image_processor()
            _lowerCAmelCase												=							self.get_tokenizer()

            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=__snake_case      ,      image_processor=__snake_case  )

            _lowerCAmelCase												=							"""lower newer"""

            _lowerCAmelCase												=							processor(text=__snake_case  )

            _lowerCAmelCase												=							tokenizer(__snake_case  )

            for key in encoded_tok.keys():
                  self.assertListEqual(encoded_tok[key]      ,      encoded_processor[key]  )




      def     lowercase__   (      self      :			str  )    ->				Union[str, Any]:
            _lowerCAmelCase												=							self.get_image_processor()
            _lowerCAmelCase												=							self.get_tokenizer()

            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=__snake_case      ,      image_processor=__snake_case  )

            _lowerCAmelCase												=							"""lower newer"""
            _lowerCAmelCase												=							self.prepare_image_inputs()

            _lowerCAmelCase												=							processor(text=__snake_case      ,      images=__snake_case  )

            self.assertListEqual(list(inputs.keys()  )      ,      ["""input_ids""", """attention_mask""", """pixel_values"""]  )

            # test if it raises when no input is passed
            with pytest.raises(__snake_case  ):
                  processor()




      def     lowercase__   (      self      :			Union[str, Any]  )    ->				Dict:
            _lowerCAmelCase												=							self.get_image_processor()
            _lowerCAmelCase												=							self.get_tokenizer()

            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=__snake_case      ,      image_processor=__snake_case  )

            _lowerCAmelCase												=							self.prepare_image_inputs()
            _lowerCAmelCase												=							self.prepare_image_inputs()

            _lowerCAmelCase												=							processor(images=__snake_case      ,      visual_prompt=__snake_case  )

            self.assertListEqual(list(inputs.keys()  )      ,      ["""pixel_values""", """conditional_pixel_values"""]  )

            # test if it raises when no input is passed
            with pytest.raises(__snake_case  ):
                  processor()




      def     lowercase__   (      self      :			int  )    ->				Tuple:
            _lowerCAmelCase												=							self.get_image_processor()
            _lowerCAmelCase												=							self.get_tokenizer()

            _lowerCAmelCase												=							CLIPSegProcessor(tokenizer=__snake_case      ,      image_processor=__snake_case  )

            _lowerCAmelCase												=							[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

            _lowerCAmelCase												=							processor.batch_decode(__snake_case  )
            _lowerCAmelCase												=							tokenizer.batch_decode(__snake_case  )

            self.assertListEqual(__snake_case      ,      __snake_case  )






