




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

lowerCamelCase       :       int        =    TypeVar('KEY')
lowerCamelCase       :       List[Any]        =    TypeVar('VAL')




@dataclass(frozen=lowerCAmelCase_     ,		slots=lowerCAmelCase_							)
class 						__lowercase		(Generic[KEY, VAL]							):




      """simple docstring"""





      _snake_case							     =						42
      _snake_case							     =						42




class 						__lowercase		(_Item							):




      """simple docstring"""





      def __init__(      self	)		->				Tuple:
         super().__init__(snake_case_				,      snake_case_	)

      def __bool__(      self	)		->				Union[str, Any]:
         return False




lowerCamelCase       :       Dict        =    _DeletedItem()




class 						__lowercase		(MutableMapping[KEY, VAL]							):




      """simple docstring"""





      def __init__(      self				,      A = 8				,      A = 0.75	)		->				str:
         snake_case      :				Any				=       initial_block_size
         snake_case      :				Tuple				=       [None] * initial_block_size
         assert 0.0 < capacity_factor < 1.0
         snake_case      :				Union[str, Any]				=       capacity_factor
         snake_case      :				Optional[Any]				=       0

      def 	UpperCAmelCase      (      self				,      A	)		->				Optional[int]:
         return hash(snake_case_	) % len(self._buckets	)

      def 	UpperCAmelCase      (      self				,      A	)		->				Optional[Any]:
         return (ind + 1) % len(self._buckets	)

      def 	UpperCAmelCase      (      self				,      A				,      A				,      A	)		->				int:
         snake_case      :				Any				=       self._buckets[ind]
         if not stored:
            snake_case      :				List[str]				=       _Item(snake_case_				,      snake_case_	)
            self._len += 1
            return True
         elif stored.key == key:
            snake_case      :				Optional[Any]				=       _Item(snake_case_				,      snake_case_	)
            return True
         else:
            return False

      def 	UpperCAmelCase      (      self	)		->				Union[str, Any]:
         snake_case      :				str				=       len(self._buckets	) * self._capacity_factor
         return len(self	) >= int(snake_case_	)

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

      def 	UpperCAmelCase      (      self				,      A	)		->				List[Any]:
         snake_case      :				Tuple				=       self._buckets
         snake_case      :				Dict				=       [None] * new_size
         snake_case      :				List[Any]				=       0
         for item in old_buckets:
            if item:
               self._add_item(item.key				,      item.val	)

      def 	UpperCAmelCase      (      self	)		->				Tuple:
         self._resize(len(self._buckets	) * 2	)

      def 	UpperCAmelCase      (      self	)		->				str:
         self._resize(len(self._buckets	) // 2	)

      def 	UpperCAmelCase      (      self				,      A	)		->				str:
         snake_case      :				Union[str, Any]				=       self._get_bucket_index(snake_case_	)
         for _ in range(len(self._buckets	)	):
            yield ind
            snake_case      :				str				=       self._get_next_ind(snake_case_	)

      def 	UpperCAmelCase      (      self				,      A				,      A	)		->				Optional[Any]:
         for ind in self._iterate_buckets(snake_case_	):
            if self._try_set(snake_case_				,      snake_case_				,      snake_case_	):
               break

      def __setitem__(      self				,      A				,      A	)		->				Optional[int]:
         if self._is_full():
            self._size_up()

         self._add_item(snake_case_				,      snake_case_	)

      def __delitem__(      self				,      A	)		->				Any:
         for ind in self._iterate_buckets(snake_case_	):
            snake_case      :				List[str]				=       self._buckets[ind]
            if item is None:
               raise KeyError(snake_case_	)
            if item is _deleted:
               continue
            if item.key == key:
               snake_case      :				Union[str, Any]				=       _deleted
               self._len -= 1
               break
         if self._is_sparse():
            self._size_down()

      def __getitem__(      self				,      A	)		->				List[str]:
         for ind in self._iterate_buckets(snake_case_	):
            snake_case      :				Tuple				=       self._buckets[ind]
            if item is None:
               break
            if item is _deleted:
               continue
            if item.key == key:
               return item.val
         raise KeyError(snake_case_	)

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

      def __iter__(      self	)		->				List[str]:
         yield from (item.key for item in self._buckets if item)

      def __repr__(      self	)		->				Tuple:
         snake_case      :				int				=       """ ,""".join(
             f"""{item.key}: {item.val}""" for item in self._buckets if item	)
         return f"""HashMap({val_string})"""












'''simple docstring'''




import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
  from PIL import Image

  from transformers import AutoProcessor, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast







@require_vision
class   A_	(  unittest.TestCase			):




 def      lowercase	(					self       :    int    ):
      _UpperCAmelCase     							=   tempfile.mkdtemp()

      _UpperCAmelCase     							=   BlipImageProcessor()
      _UpperCAmelCase     							=   BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-BertModel"    )

      _UpperCAmelCase     							=   BlipProcessor(snake_case_	,			snake_case_    )

      processor.save_pretrained(self.tmpdirname    )




 def      lowercase	(					self       :    Tuple	,			**snake_case_       :    int    ):
      return AutoProcessor.from_pretrained(self.tmpdirname	,			**snake_case_    ).tokenizer




 def      lowercase	(					self       :    Dict	,			**snake_case_       :    Any    ):
      return AutoProcessor.from_pretrained(self.tmpdirname	,			**snake_case_    ).image_processor




 def      lowercase	(					self       :    int    ):
      shutil.rmtree(self.tmpdirname    )




 def      lowercase	(					self       :    Optional[Any]    ):
      _UpperCAmelCase     							=   [np.random.randint(2_5_5	,			size=(3, 3_0, 4_0_0)	,			dtype=np.uinta    )]

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

      return image_inputs




 def      lowercase	(					self       :    int    ):
      _UpperCAmelCase     							=   BlipProcessor(tokenizer=self.get_tokenizer()	,			image_processor=self.get_image_processor()    )
      processor.save_pretrained(self.tmpdirname    )

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

      _UpperCAmelCase     							=   BlipProcessor.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       :    Any    ):
      _UpperCAmelCase     							=   self.get_image_processor()
      _UpperCAmelCase     							=   self.get_tokenizer()

      _UpperCAmelCase     							=   BlipProcessor(tokenizer=snake_case_	,			image_processor=snake_case_    )

      _UpperCAmelCase     							=   self.prepare_image_inputs()

      _UpperCAmelCase     							=   image_processor(snake_case_	,			return_tensors="np"    )
      _UpperCAmelCase     							=   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       :    Optional[int]    ):
      _UpperCAmelCase     							=   self.get_image_processor()
      _UpperCAmelCase     							=   self.get_tokenizer()

      _UpperCAmelCase     							=   BlipProcessor(tokenizer=snake_case_	,			image_processor=snake_case_    )

      _UpperCAmelCase     							=   "lower newer"

      _UpperCAmelCase     							=   processor(text=snake_case_    )

      _UpperCAmelCase     							=   tokenizer(snake_case_	,			return_token_type_ids=snake_case_    )

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




 def      lowercase	(					self       :    Optional[Any]    ):
      _UpperCAmelCase     							=   self.get_image_processor()
      _UpperCAmelCase     							=   self.get_tokenizer()

      _UpperCAmelCase     							=   BlipProcessor(tokenizer=snake_case_	,			image_processor=snake_case_    )

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

      _UpperCAmelCase     							=   processor(text=snake_case_	,			images=snake_case_    )

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

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




 def      lowercase	(					self       :    Union[str, Any]    ):
      _UpperCAmelCase     							=   self.get_image_processor()
      _UpperCAmelCase     							=   self.get_tokenizer()

      _UpperCAmelCase     							=   BlipProcessor(tokenizer=snake_case_	,			image_processor=snake_case_    )

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

      _UpperCAmelCase     							=   processor.batch_decode(snake_case_    )
      _UpperCAmelCase     							=   tokenizer.batch_decode(snake_case_    )

      self.assertListEqual(snake_case_	,			snake_case_    )




 def      lowercase	(					self       :    str    ):
      _UpperCAmelCase     							=   self.get_image_processor()
      _UpperCAmelCase     							=   self.get_tokenizer()

      _UpperCAmelCase     							=   BlipProcessor(tokenizer=snake_case_	,			image_processor=snake_case_    )

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

      _UpperCAmelCase     							=   processor(text=snake_case_	,			images=snake_case_    )

      # For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
      self.assertListEqual(list(inputs.keys()    )	,			["pixel_values", "input_ids", "attention_mask"]    )




