





'''simple docstring'''






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

A_		:  List[Any]		 =						TypeVar("KEY")
A_		:  str		 =						TypeVar("VAL")
@dataclass(frozen=_a		,				slots=_a							)
class 					__snake_case  (					Generic[KEY, VAL]							):






   '''simple docstring'''





   lowerCamelCase__    							=      42
   lowerCamelCase__    							=      42



class 					__snake_case  (					_Item							):






   '''simple docstring'''





   def __init__(							self       ):
    super().__init__(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )


   def __bool__(							self       ):
    return False



A_		:  Any		 =						_DeletedItem()
class 					__snake_case  (					MutableMapping[KEY, VAL]							):






   '''simple docstring'''





   def __init__(							self	,		__SCREAMING_SNAKE_CASE = 8	,		__SCREAMING_SNAKE_CASE = 0.75       ):
    snake_case__     :					List[Any]    =  initial_block_size
    snake_case__     :					str    =  [None] * initial_block_size
    assert 0.0 < capacity_factor < 1.0
    snake_case__     :					Tuple    =  capacity_factor
    snake_case__     :					Tuple    =  0

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE       ):
    return hash(__SCREAMING_SNAKE_CASE       ) % len(self._buckets       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE       ):
    return (ind + 1) % len(self._buckets       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
    snake_case__     :					Union[str, Any]    =  self._buckets[ind]
    if not stored:
     snake_case__     :					Tuple    =  _Item(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )
     self._len += 1
     return True
    elif stored.key == key:
     snake_case__     :					List[str]    =  _Item(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )
     return True
    else:
     return False

   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					Any    =  len(self._buckets       ) * self._capacity_factor
    return len(self       ) >= int(__SCREAMING_SNAKE_CASE       )

   def 		__UpperCamelCase						(							self       ):

    if len(self._buckets       ) <= self._initial_block_size:
     return False
    snake_case__     :					List[Any]    =  len(self._buckets       ) * self._capacity_factor / 2
    return len(self       ) < limit

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE       ):
    snake_case__     :					int    =  self._buckets
    snake_case__     :					Tuple    =  [None] * new_size
    snake_case__     :					Any    =  0
    for item in old_buckets:
     if item:
      self._add_item(item.key	,		item.val       )

   def 		__UpperCamelCase						(							self       ):
    self._resize(len(self._buckets       ) * 2       )

   def 		__UpperCamelCase						(							self       ):
    self._resize(len(self._buckets       ) // 2       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE       ):
    snake_case__     :					List[str]    =  self._get_bucket_index(__SCREAMING_SNAKE_CASE       )
    for _ in range(len(self._buckets       )       ):
     yield ind
     snake_case__     :					int    =  self._get_next_ind(__SCREAMING_SNAKE_CASE       )

   def 		__UpperCamelCase						(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):

    for ind in self._iterate_buckets(__SCREAMING_SNAKE_CASE       ):
     if self._try_set(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):
      break

   def __setitem__(							self	,		__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       ):

    if self._is_full():
     self._size_up()

    self._add_item(__SCREAMING_SNAKE_CASE	,		__SCREAMING_SNAKE_CASE       )

   def __delitem__(							self	,		__SCREAMING_SNAKE_CASE       ):

    for ind in self._iterate_buckets(__SCREAMING_SNAKE_CASE       ):
     snake_case__     :					Any    =  self._buckets[ind]
     if item is None:
      raise KeyError(__SCREAMING_SNAKE_CASE       )
     if item is _deleted:
      continue
     if item.key == key:
      snake_case__     :					Tuple    =  _deleted
      self._len -= 1
      break
    if self._is_sparse():
     self._size_down()

   def __getitem__(							self	,		__SCREAMING_SNAKE_CASE       ):

    for ind in self._iterate_buckets(__SCREAMING_SNAKE_CASE       ):
     snake_case__     :					Any    =  self._buckets[ind]
     if item is None:
      break
     if item is _deleted:
      continue
     if item.key == key:
      return item.val
    raise KeyError(__SCREAMING_SNAKE_CASE       )

   def __len__(							self       ):
    return self._len

   def __iter__(							self       ):
    yield from (item.key for item in self._buckets if item)


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












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,
        BertTokenizerFast,
        BlipImageProcessor,
        GPTaTokenizer,
        InstructBlipProcessor,
        PreTrainedTokenizerFast,
    )






@require_vision
class 					SCREAMING_SNAKE_CASE_  (       unittest.TestCase ):
       """simple docstring"""


       def 				UpperCamelCase__						(				self	:List[str]):



          """simple docstring"""

          _lowercase              =tempfile.mkdtemp()

          _lowercase              =BlipImageProcessor()
          _lowercase              =GPTaTokenizer.from_pretrained('hf-internal-testing/tiny-random-GPT2Model')
          _lowercase              =BertTokenizerFast.from_pretrained('hf-internal-testing/tiny-random-bert')

          _lowercase              =InstructBlipProcessor(snake_case,      snake_case,      snake_case)

          processor.save_pretrained(self.tmpdirname)





       def 				UpperCamelCase__						(				self	:List[str],      **snake_case	:str):



          """simple docstring"""

          return AutoProcessor.from_pretrained(self.tmpdirname,      **snake_case).tokenizer





       def 				UpperCamelCase__						(				self	:Optional[Any],      **snake_case	:List[Any]):



          """simple docstring"""

          return AutoProcessor.from_pretrained(self.tmpdirname,      **snake_case).image_processor





       def 				UpperCamelCase__						(				self	:Tuple,      **snake_case	:Any):



          """simple docstring"""

          return AutoProcessor.from_pretrained(self.tmpdirname,      **snake_case).qformer_tokenizer





       def 				UpperCamelCase__						(				self	:Optional[int]):



          """simple docstring"""

          shutil.rmtree(self.tmpdirname)





       def 				UpperCamelCase__						(				self	:List[str]):



          """simple docstring"""

          _lowercase              =[np.random.randint(255,      size=(3, 30, 400),      dtype=np.uinta)]

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

          return image_inputs





       def 				UpperCamelCase__						(				self	:List[Any]):



          """simple docstring"""

          _lowercase              =InstructBlipProcessor(
              tokenizer=self.get_tokenizer(),      image_processor=self.get_image_processor(),      qformer_tokenizer=self.get_qformer_tokenizer(),      )
          processor.save_pretrained(self.tmpdirname)

          _lowercase              =self.get_tokenizer(bos_token='(BOS)',      eos_token='(EOS)')
          _lowercase              =self.get_image_processor(do_normalize=snake_case,      padding_value=1.0)

          _lowercase              =InstructBlipProcessor.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)
          self.assertIsInstance(processor.qformer_tokenizer,      snake_case)





       def 				UpperCamelCase__						(				self	:Tuple):



          """simple docstring"""

          _lowercase              =self.get_image_processor()
          _lowercase              =self.get_tokenizer()
          _lowercase              =self.get_qformer_tokenizer()

          _lowercase              =InstructBlipProcessor(
              tokenizer=snake_case,      image_processor=snake_case,      qformer_tokenizer=snake_case)

          _lowercase              =self.prepare_image_inputs()

          _lowercase              =image_processor(snake_case,      return_tensors='np')
          _lowercase              =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 				UpperCamelCase__						(				self	:List[Any]):



          """simple docstring"""

          _lowercase              =self.get_image_processor()
          _lowercase              =self.get_tokenizer()
          _lowercase              =self.get_qformer_tokenizer()

          _lowercase              =InstructBlipProcessor(
              tokenizer=snake_case,      image_processor=snake_case,      qformer_tokenizer=snake_case)

          _lowercase              ='lower newer'

          _lowercase              =processor(text=snake_case)

          _lowercase              =tokenizer(snake_case,      return_token_type_ids=snake_case)
          _lowercase              =qformer_tokenizer(snake_case,      return_token_type_ids=snake_case)

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

          for key in encoded_tokens_qformer.keys():
             self.assertListEqual(encoded_tokens_qformer[key],      encoded_processor['qformer_' + key])





       def 				UpperCamelCase__						(				self	:Any):



          """simple docstring"""

          _lowercase              =self.get_image_processor()
          _lowercase              =self.get_tokenizer()
          _lowercase              =self.get_qformer_tokenizer()

          _lowercase              =InstructBlipProcessor(
              tokenizer=snake_case,      image_processor=snake_case,      qformer_tokenizer=snake_case)

          _lowercase              ='lower newer'
          _lowercase              =self.prepare_image_inputs()

          _lowercase              =processor(text=snake_case,      images=snake_case)

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

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





       def 				UpperCamelCase__						(				self	:Dict):



          """simple docstring"""

          _lowercase              =self.get_image_processor()
          _lowercase              =self.get_tokenizer()
          _lowercase              =self.get_qformer_tokenizer()

          _lowercase              =InstructBlipProcessor(
              tokenizer=snake_case,      image_processor=snake_case,      qformer_tokenizer=snake_case)

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

          _lowercase              =processor.batch_decode(snake_case)
          _lowercase              =tokenizer.batch_decode(snake_case)

          self.assertListEqual(snake_case,      snake_case)





       def 				UpperCamelCase__						(				self	:int):



          """simple docstring"""

          _lowercase              =self.get_image_processor()
          _lowercase              =self.get_tokenizer()
          _lowercase              =self.get_qformer_tokenizer()

          _lowercase              =InstructBlipProcessor(
              tokenizer=snake_case,      image_processor=snake_case,      qformer_tokenizer=snake_case)

          _lowercase              ='lower newer'
          _lowercase              =self.prepare_image_inputs()

          _lowercase              =processor(text=snake_case,      images=snake_case)

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


