

'''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 OwlViTImageProcessor, OwlViTProcessor




@require_vision
class 	A_			(    unittest.TestCase							):






     '''simple docstring'''



     def        UpperCAmelCase_	(		self			:					List[Any]	)						->     Tuple:
      UpperCAmelCase	:     List[str]						 =			tempfile.mkdtemp()

      # fmt: off
      UpperCAmelCase	:     Optional[int]						 =			['', '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
      UpperCAmelCase	:     Optional[int]						 =			dict(zip(lowercase_					,      range(len(lowercase_	)	)	)	)
      UpperCAmelCase	:     List[str]						 =			['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>', '']
      UpperCAmelCase	:     str						 =			{'unk_token': '<unk>'}

      UpperCAmelCase	:     Tuple						 =			os.path.join(self.tmpdirname					,      VOCAB_FILES_NAMES['vocab_file']	)
      UpperCAmelCase	:     List[Any]						 =			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(lowercase_	) + '\n'	)
      with open(self.merges_file					,      'w'					,      encoding='utf-8'	) as fp:
       fp.write('\n'.join(lowercase_	)	)

      UpperCAmelCase	:     Optional[Any]						 =			{
          'do_resize': True,
          'size': 20,
          'do_center_crop': True,
          'crop_size': 18,
          'do_normalize': True,
          'image_mean': [0.4814_5466, 0.457_8275, 0.4082_1073],
          'image_std': [0.2686_2954, 0.2613_0258, 0.2757_7711],
      }
      UpperCAmelCase	:     Union[str, Any]						 =			os.path.join(self.tmpdirname					,      lowercase_	)
      with open(self.image_processor_file					,      'w'					,      encoding='utf-8'	) as fp:
       json.dump(lowercase_					,      lowercase_	)


     def        UpperCAmelCase_	(		self			:					Union[str, Any]					,      **lowercase_			:					Any	)						->     int:
      return CLIPTokenizer.from_pretrained(self.tmpdirname					,      pad_token='!'					,      **lowercase_	)


     def        UpperCAmelCase_	(		self			:					List[str]					,      **lowercase_			:					str	)						->     Tuple:
      return CLIPTokenizerFast.from_pretrained(self.tmpdirname					,      pad_token='!'					,      **lowercase_	)


     def        UpperCAmelCase_	(		self			:					str					,      **lowercase_			:					Dict	)						->     str:
      return OwlViTImageProcessor.from_pretrained(self.tmpdirname					,      **lowercase_	)


     def        UpperCAmelCase_	(		self			:					List[Any]	)						->     Tuple:
      shutil.rmtree(self.tmpdirname	)


     def        UpperCAmelCase_	(		self			:					Any	)						->     int:
      UpperCAmelCase	:     List[str]						 =			[np.random.randint(255					,      size=(3, 30, 400)					,      dtype=np.uinta	)]

      UpperCAmelCase	:     str						 =			[Image.fromarray(np.moveaxis(lowercase_					,      0					,      -1	)	) for x in image_inputs]

      return image_inputs


     def        UpperCAmelCase_	(		self			:					Optional[int]	)						->     Union[str, Any]:
      UpperCAmelCase	:     Optional[Any]						 =			self.get_tokenizer()
      UpperCAmelCase	:     Any						 =			self.get_rust_tokenizer()
      UpperCAmelCase	:     Dict						 =			self.get_image_processor()

      UpperCAmelCase	:     List[str]						 =			OwlViTProcessor(tokenizer=lowercase_					,      image_processor=lowercase_	)
      processor_slow.save_pretrained(self.tmpdirname	)
      UpperCAmelCase	:     Tuple						 =			OwlViTProcessor.from_pretrained(self.tmpdirname					,      use_fast=lowercase_	)

      UpperCAmelCase	:     str						 =			OwlViTProcessor(tokenizer=lowercase_					,      image_processor=lowercase_	)
      processor_fast.save_pretrained(self.tmpdirname	)
      UpperCAmelCase	:     Optional[int]						 =			OwlViTProcessor.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					,      lowercase_	)
      self.assertIsInstance(processor_fast.tokenizer					,      lowercase_	)

      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					,      lowercase_	)
      self.assertIsInstance(processor_fast.image_processor					,      lowercase_	)


     def        UpperCAmelCase_	(		self			:					Tuple	)						->     Optional[Any]:
      UpperCAmelCase	:     Dict						 =			OwlViTProcessor(tokenizer=self.get_tokenizer()					,      image_processor=self.get_image_processor()	)
      processor.save_pretrained(self.tmpdirname	)

      UpperCAmelCase	:     Any						 =			self.get_tokenizer(bos_token='(BOS)'					,      eos_token='(EOS)'	)
      UpperCAmelCase	:     str						 =			self.get_image_processor(do_normalize=lowercase_	)

      UpperCAmelCase	:     int						 =			OwlViTProcessor.from_pretrained(
          self.tmpdirname					,      bos_token='(BOS)'					,      eos_token='(EOS)'					,      do_normalize=lowercase_	)

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

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


     def        UpperCAmelCase_	(		self			:					Dict	)						->     Tuple:
      UpperCAmelCase	:     str						 =			self.get_image_processor()
      UpperCAmelCase	:     str						 =			self.get_tokenizer()

      UpperCAmelCase	:     List[Any]						 =			OwlViTProcessor(tokenizer=lowercase_					,      image_processor=lowercase_	)

      UpperCAmelCase	:     Tuple						 =			self.prepare_image_inputs()

      UpperCAmelCase	:     Dict						 =			image_processor(lowercase_					,      return_tensors='np'	)
      UpperCAmelCase	:     Optional[int]						 =			processor(images=lowercase_					,      return_tensors='np'	)

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


     def        UpperCAmelCase_	(		self			:					List[Any]	)						->     Optional[int]:
      UpperCAmelCase	:     Any						 =			self.get_image_processor()
      UpperCAmelCase	:     Any						 =			self.get_tokenizer()

      UpperCAmelCase	:     Optional[Any]						 =			OwlViTProcessor(tokenizer=lowercase_					,      image_processor=lowercase_	)

      UpperCAmelCase	:     Any						 =			'lower newer'

      UpperCAmelCase	:     Optional[int]						 =			processor(text=lowercase_					,      return_tensors='np'	)

      UpperCAmelCase	:     Any						 =			tokenizer(lowercase_					,      return_tensors='np'	)

      for key in encoded_tok.keys():
       self.assertListEqual(encoded_tok[key][0].tolist()					,      encoded_processor[key][0].tolist()	)


     def        UpperCAmelCase_	(		self			:					Optional[Any]	)						->     Union[str, Any]:
      UpperCAmelCase	:     List[Any]						 =			self.get_image_processor()
      UpperCAmelCase	:     Optional[Any]						 =			self.get_tokenizer()

      UpperCAmelCase	:     Union[str, Any]						 =			OwlViTProcessor(tokenizer=lowercase_					,      image_processor=lowercase_	)

      UpperCAmelCase	:     List[str]						 =			'lower newer'
      UpperCAmelCase	:     Any						 =			self.prepare_image_inputs()

      UpperCAmelCase	:     List[Any]						 =			processor(text=lowercase_					,      images=lowercase_	)

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

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


     def        UpperCAmelCase_	(		self			:					Tuple	)						->     List[str]:
      UpperCAmelCase	:     Tuple						 =			'google/owlvit-base-patch32'
      UpperCAmelCase	:     str						 =			OwlViTProcessor.from_pretrained(lowercase_	)

      UpperCAmelCase	:     Optional[Any]						 =			['cat', 'nasa badge']
      UpperCAmelCase	:     List[Any]						 =			processor(text=lowercase_	)

      UpperCAmelCase	:     Optional[Any]						 =			16
      self.assertListEqual(list(inputs.keys()	)					,      ['input_ids', 'attention_mask']	)
      self.assertEqual(inputs['input_ids'].shape					,      (2, seq_length)	)

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


     def        UpperCAmelCase_	(		self			:					Tuple	)						->     List[Any]:
      UpperCAmelCase	:     Optional[int]						 =			'google/owlvit-base-patch32'
      UpperCAmelCase	:     str						 =			OwlViTProcessor.from_pretrained(lowercase_	)

      UpperCAmelCase	:     Tuple						 =			[['cat', 'nasa badge'], ['person']]
      UpperCAmelCase	:     Union[str, Any]						 =			processor(text=lowercase_	)

      UpperCAmelCase	:     int						 =			16
      UpperCAmelCase	:     str						 =			len(lowercase_	)
      UpperCAmelCase	:     Dict						 =			max([len(lowercase_	) for texts in input_texts]	)

      self.assertListEqual(list(inputs.keys()	)					,      ['input_ids', 'attention_mask']	)
      self.assertEqual(inputs['input_ids'].shape					,      (batch_size * num_max_text_queries, seq_length)	)

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


     def        UpperCAmelCase_	(		self			:					Optional[int]	)						->     str:
      UpperCAmelCase	:     List[str]						 =			'google/owlvit-base-patch32'
      UpperCAmelCase	:     str						 =			OwlViTProcessor.from_pretrained(lowercase_	)

      UpperCAmelCase	:     Optional[int]						 =			['cat', 'nasa badge']
      UpperCAmelCase	:     List[Any]						 =			processor(text=lowercase_	)

      UpperCAmelCase	:     Tuple						 =			16
      UpperCAmelCase	:     List[str]						 =			inputs['input_ids']
      UpperCAmelCase	:     int						 =			[
          [49_406, 2_368, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
          [49_406, 6_841, 11_301, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
      ]

      self.assertListEqual(list(inputs.keys()	)					,      ['input_ids', 'attention_mask']	)
      self.assertEqual(inputs['input_ids'].shape					,      (2, seq_length)	)
      self.assertListEqual(list(input_ids[0]	)					,      predicted_ids[0]	)
      self.assertListEqual(list(input_ids[1]	)					,      predicted_ids[1]	)


     def        UpperCAmelCase_	(		self			:					List[Any]	)						->     Optional[int]:
      UpperCAmelCase	:     Dict						 =			self.get_image_processor()
      UpperCAmelCase	:     List[Any]						 =			self.get_tokenizer()

      UpperCAmelCase	:     Tuple						 =			OwlViTProcessor(tokenizer=lowercase_					,      image_processor=lowercase_	)

      UpperCAmelCase	:     List[str]						 =			self.prepare_image_inputs()
      UpperCAmelCase	:     Union[str, Any]						 =			self.prepare_image_inputs()

      UpperCAmelCase	:     Optional[int]						 =			processor(images=lowercase_					,      query_images=lowercase_	)

      self.assertListEqual(list(inputs.keys()	)					,      ['query_pixel_values', 'pixel_values']	)

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




     def        UpperCAmelCase_	(		self			:					Optional[int]	)						->     Optional[int]:
      UpperCAmelCase	:     Union[str, Any]						 =			self.get_image_processor()
      UpperCAmelCase	:     Any						 =			self.get_tokenizer()

      UpperCAmelCase	:     Optional[int]						 =			OwlViTProcessor(tokenizer=lowercase_					,      image_processor=lowercase_	)

      UpperCAmelCase	:     str						 =			[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

      UpperCAmelCase	:     str						 =			processor.batch_decode(lowercase_	)
      UpperCAmelCase	:     Optional[int]						 =			tokenizer.batch_decode(lowercase_	)

      self.assertListEqual(lowercase_					,      lowercase_	)







'''simple docstring'''

from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

lowercase__         =      TypeVar("KEY")
lowercase__         =      TypeVar("VAL")




@dataclass(frozen=_snake_case	,       slots=_snake_case							)
class 	A_			(    Generic[KEY, VAL]							):






     '''simple docstring'''



     UpperCAmelCase_						:     KEY
     UpperCAmelCase_						:     VAL




class 	A_			(    _Item							):






     '''simple docstring'''



     def __init__(		self			:					Any	)						->     None:
      super().__init__(lowercase_					,      lowercase_	)




     def __bool__(		self			:					List[str]	)						->     bool:
      return False



lowercase__         =      _DeletedItem()




class 	A_			(    MutableMapping[KEY, VAL]							):






     '''simple docstring'''



     def __init__(		self			:					Optional[int]					,      lowercase_			:					int = 8					,      lowercase_			:					float = 0.75	)						->     None:
      UpperCAmelCase	:     Dict						 =			initial_block_size
      UpperCAmelCase	:     list[_Item | None]						 =			[None] * initial_block_size
      assert 0.0 < capacity_factor < 1.0
      UpperCAmelCase	:     Any						 =			capacity_factor
      UpperCAmelCase	:     Union[str, Any]						 =			0


     def        UpperCAmelCase_	(		self			:					str					,      lowercase_			:					KEY	)						->     int:
      return hash(lowercase_	) % len(self._buckets	)


     def        UpperCAmelCase_	(		self			:					Any					,      lowercase_			:					int	)						->     int:
      return (ind + 1) % len(self._buckets	)


     def        UpperCAmelCase_	(		self			:					Dict					,      lowercase_			:					int					,      lowercase_			:					KEY					,      lowercase_			:					VAL	)						->     bool:
      UpperCAmelCase	:     List[Any]						 =			self._buckets[ind]
      if not stored:
       UpperCAmelCase	:     Dict						 =			_Item(lowercase_					,      lowercase_	)
       self._len += 1
       return True
      elif stored.key == key:
       UpperCAmelCase	:     Dict						 =			_Item(lowercase_					,      lowercase_	)
       return True
      else:
       return False


     def        UpperCAmelCase_	(		self			:					Any	)						->     bool:
      UpperCAmelCase	:     List[str]						 =			len(self._buckets	) * self._capacity_factor
      return len(self	) >= int(lowercase_	)


     def        UpperCAmelCase_	(		self			:					Optional[int]	)						->     bool:
      if len(self._buckets	) <= self._initial_block_size:
       return False
      UpperCAmelCase	:     Optional[int]						 =			len(self._buckets	) * self._capacity_factor / 2
      return len(self	) < limit


     def        UpperCAmelCase_	(		self			:					Dict					,      lowercase_			:					int	)						->     None:
      UpperCAmelCase	:     int						 =			self._buckets
      UpperCAmelCase	:     List[str]						 =			[None] * new_size
      UpperCAmelCase	:     Dict						 =			0
      for item in old_buckets:
       if item:
        self._add_item(item.key					,      item.val	)


     def        UpperCAmelCase_	(		self			:					Dict	)						->     None:
      self._resize(len(self._buckets	) * 2	)


     def        UpperCAmelCase_	(		self			:					Union[str, Any]	)						->     None:
      self._resize(len(self._buckets	) // 2	)


     def        UpperCAmelCase_	(		self			:					Union[str, Any]					,      lowercase_			:					KEY	)						->     Iterator[int]:
      UpperCAmelCase	:     Dict						 =			self._get_bucket_index(lowercase_	)
      for _ in range(len(self._buckets	)	):
       yield ind
       UpperCAmelCase	:     Union[str, Any]						 =			self._get_next_ind(lowercase_	)


     def        UpperCAmelCase_	(		self			:					Dict					,      lowercase_			:					KEY					,      lowercase_			:					VAL	)						->     None:
      for ind in self._iterate_buckets(lowercase_	):
       if self._try_set(lowercase_					,      lowercase_					,      lowercase_	):
        break


     def __setitem__(		self			:					Union[str, Any]					,      lowercase_			:					KEY					,      lowercase_			:					VAL	)						->     None:
      if self._is_full():
       self._size_up()

      self._add_item(lowercase_					,      lowercase_	)


     def __delitem__(		self			:					Tuple					,      lowercase_			:					KEY	)						->     None:
      for ind in self._iterate_buckets(lowercase_	):
       UpperCAmelCase	:     int						 =			self._buckets[ind]
       if item is None:
        raise KeyError(lowercase_	)
       if item is _deleted:
        continue
       if item.key == key:
        UpperCAmelCase	:     Union[str, Any]						 =			_deleted
        self._len -= 1
        break
      if self._is_sparse():
       self._size_down()


     def __getitem__(		self			:					Dict					,      lowercase_			:					KEY	)						->     VAL:
      for ind in self._iterate_buckets(lowercase_	):
       UpperCAmelCase	:     List[str]						 =			self._buckets[ind]
       if item is None:
        break
       if item is _deleted:
        continue
       if item.key == key:
        return item.val
      raise KeyError(lowercase_	)


     def __len__(		self			:					Optional[Any]	)						->     int:
      return self._len


     def __iter__(		self			:					int	)						->     Iterator[KEY]:
      yield from (item.key for item in self._buckets if item)




     def __repr__(		self			:					Optional[Any]	)						->     str:
      UpperCAmelCase	:     int						 =			' ,'.join(
          f"""{item.key}: {item.val}""" for item in self._buckets if item	)
      return f"""HashMap({val_string})"""




