



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      lowercase__    (							unittest.TestCase  ):







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Any    =		tempfile.mkdtemp()

       lowerCAmelCase_					:       List[str]    =		BlipImageProcessor()
       lowerCAmelCase_					:       Union[str, Any]    =		BertTokenizer.from_pretrained("""hf-internal-testing/tiny-random-BertModel"""						)

       lowerCAmelCase_					:       List[Any]    =		BlipProcessor(snake_case_    ,						snake_case_						)

       processor.save_pretrained(self.tmpdirname						)







  def 	UpperCAmelCase__		(	self    ,						**_lowercase						):
       return AutoProcessor.from_pretrained(self.tmpdirname    ,						**snake_case_						).tokenizer







  def 	UpperCAmelCase__		(	self    ,						**_lowercase						):
       return AutoProcessor.from_pretrained(self.tmpdirname    ,						**snake_case_						).image_processor







  def 	UpperCAmelCase__		(	self						):
       shutil.rmtree(self.tmpdirname						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       List[str]    =		[np.random.randint(255    ,						size=(3, 30, 400)    ,						dtype=np.uinta						)]

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

       return image_inputs







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Any    =		BlipProcessor(tokenizer=self.get_tokenizer()    ,						image_processor=self.get_image_processor()						)
       processor.save_pretrained(self.tmpdirname						)

       lowerCAmelCase_					:       List[Any]    =		self.get_tokenizer(bos_token="""(BOS)"""    ,						eos_token="""(EOS)"""						)
       lowerCAmelCase_					:       Optional[Any]    =		self.get_image_processor(do_normalize=snake_case_    ,						padding_value=1.0						)

       lowerCAmelCase_					:       Optional[Any]    =		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 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Tuple    =		self.get_image_processor()
       lowerCAmelCase_					:       Union[str, Any]    =		self.get_tokenizer()

       lowerCAmelCase_					:       Dict    =		BlipProcessor(tokenizer=snake_case_    ,						image_processor=snake_case_						)

       lowerCAmelCase_					:       List[Any]    =		self.prepare_image_inputs()

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

       lowerCAmelCase_					:       str    =		BlipProcessor(tokenizer=snake_case_    ,						image_processor=snake_case_						)

       lowerCAmelCase_					:       Union[str, Any]    =		"""lower newer"""

       lowerCAmelCase_					:       Tuple    =		processor(text=snake_case_						)

       lowerCAmelCase_					:       Optional[Any]    =		tokenizer(snake_case_    ,						return_token_type_ids=snake_case_						)

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







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Union[str, Any]    =		self.get_image_processor()
       lowerCAmelCase_					:       Optional[Any]    =		self.get_tokenizer()

       lowerCAmelCase_					:       List[Any]    =		BlipProcessor(tokenizer=snake_case_    ,						image_processor=snake_case_						)

       lowerCAmelCase_					:       Optional[int]    =		"""lower newer"""
       lowerCAmelCase_					:       List[str]    =		self.prepare_image_inputs()

       lowerCAmelCase_					:       Optional[int]    =		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 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       str    =		self.get_image_processor()
       lowerCAmelCase_					:       List[Any]    =		self.get_tokenizer()

       lowerCAmelCase_					:       str    =		BlipProcessor(tokenizer=snake_case_    ,						image_processor=snake_case_						)

       lowerCAmelCase_					:       Optional[int]    =		[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

       lowerCAmelCase_					:       Dict    =		processor.batch_decode(snake_case_						)
       lowerCAmelCase_					:       Dict    =		tokenizer.batch_decode(snake_case_						)

       self.assertListEqual(snake_case_    ,						snake_case_						)







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       Union[str, Any]    =		self.get_image_processor()
       lowerCAmelCase_					:       Optional[int]    =		self.get_tokenizer()

       lowerCAmelCase_					:       Tuple    =		BlipProcessor(tokenizer=snake_case_    ,						image_processor=snake_case_						)

       lowerCAmelCase_					:       int    =		"""lower newer"""
       lowerCAmelCase_					:       Optional[Any]    =		self.prepare_image_inputs()

       lowerCAmelCase_					:       Any    =		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"""]						)







from collections.abc import Generator
from math import sin






def 							_lowerCAmelCase (  _a   :					bytes			)	->			bytes:
     if len(_a			) != 32:
          raise ValueError("""Input must be of length 32"""			)

     lowerCAmelCase_					:       Any    =		B""""""
     for i in [3, 2, 1, 0]:
          little_endian += string_aa[8 * i : 8 * i + 8]
     return little_endian






def 							_lowerCAmelCase (  _a   :					int			)	->			bytes:
     if i < 0:
          raise ValueError("""Input must be non-negative"""			)

     lowerCAmelCase_					:       Tuple    =		format(_a					,   """08x"""			)[-8:]
     lowerCAmelCase_					:       Any    =		B""""""
     for i in [3, 2, 1, 0]:
          little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode("""utf-8"""			)
     return little_endian_hex






def 							_lowerCAmelCase (  _a   :					bytes			)	->			bytes:
     lowerCAmelCase_					:       Tuple    =		B""""""
     for char in message:
          bit_string += format(_a					,   """08b"""			).encode("""utf-8"""			)
     lowerCAmelCase_					:       Dict    =		format(len(_a			)					,   """064b"""			).encode("""utf-8"""			)

     # Pad bit_string to a multiple of 512 chars
     bit_string += b"1"
     while len(_a			) % 5_12 != 4_48:
          bit_string += b"0"
     bit_string += to_little_endian(start_len[32:]			) + to_little_endian(start_len[:32]			)

     return bit_string






def 							_lowerCAmelCase (  _a   :					bytes			)	->			Generator[list[int], None, None]:
     if len(_a			) % 5_12 != 0:
          raise ValueError("""Input must have length that's a multiple of 512"""			)

     for pos in range(0					,   len(_a			)					,   5_12			):
          lowerCAmelCase_					:       int    =		bit_string[pos : pos + 5_12]
          lowerCAmelCase_					:       Any    =		[]
          for i in range(0					,   5_12					,   32			):
               block_words.append(int(to_little_endian(block[i : i + 32]			)					,   2			)			)
          yield block_words






def 							_lowerCAmelCase (  _a   :					int			)	->			int:
     if i < 0:
          raise ValueError("""Input must be non-negative"""			)

     lowerCAmelCase_					:       List[str]    =		format(_a					,   """032b"""			)
     lowerCAmelCase_					:       Optional[int]    =		""""""
     for c in i_str:
          new_str += "1" if c == "0" else "0"
     return int(_a					,   2			)






def 							_lowerCAmelCase (  _a   :					int					,   _a   :					int			)	->			int:
     return (a + b) % 2**32






def 							_lowerCAmelCase (  _a   :					int					,   _a   :					int			)	->			int:
     if i < 0:
          raise ValueError("""Input must be non-negative"""			)
     if shift < 0:
          raise ValueError("""Shift must be non-negative"""			)
     return ((i << shift) ^ (i >> (32 - shift))) % 2**32






def 							_lowerCAmelCase (  _a   :					bytes			)	->			bytes:
     lowerCAmelCase_					:       Union[str, Any]    =		preprocess(_a			)

     lowerCAmelCase_					:       Optional[int]    =		[int(2**32 * abs(sin(i + 1			)			)			) for i in range(64			)]

     # Starting states
     lowerCAmelCase_					:       Tuple    =		0X67452301
     lowerCAmelCase_					:       Optional[int]    =		0XEFCDAB89
     lowerCAmelCase_					:       Tuple    =		0X98BADCFE
     lowerCAmelCase_					:       Tuple    =		0X10325476

     lowerCAmelCase_					:       Dict    =		[
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
     ]

     # Process bit string in chunks, each with 16 32-char words
     for block_words in get_block_words(_a			):
          lowerCAmelCase_					:       int    =		aa
          lowerCAmelCase_					:       Any    =		ba
          lowerCAmelCase_					:       List[str]    =		ca
          lowerCAmelCase_					:       Optional[Any]    =		da

          # Hash current chunk
          for i in range(64			):
               if i <= 15:
                    # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                    lowerCAmelCase_					:       int    =		d ^ (b & (c ^ d))
                    lowerCAmelCase_					:       List[Any]    =		i
               elif i <= 31:
                    # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                    lowerCAmelCase_					:       List[Any]    =		c ^ (d & (b ^ c))
                    lowerCAmelCase_					:       Optional[Any]    =		(5 * i + 1) % 16
               elif i <= 47:
                    lowerCAmelCase_					:       Union[str, Any]    =		b ^ c ^ d
                    lowerCAmelCase_					:       Optional[Any]    =		(3 * i + 5) % 16
               else:
                    lowerCAmelCase_					:       Any    =		c ^ (b | not_aa(_a			))
                    lowerCAmelCase_					:       List[str]    =		(7 * i) % 16
               lowerCAmelCase_					:       Tuple    =		(f + a + added_consts[i] + block_words[g]) % 2**32
               lowerCAmelCase_					:       Tuple    =		d
               lowerCAmelCase_					:       Optional[Any]    =		c
               lowerCAmelCase_					:       Dict    =		b
               lowerCAmelCase_					:       List[Any]    =		sum_aa(_a					,   left_rotate_aa(_a					,   shift_amounts[i]			)			)

          # Add hashed chunk to running total
          lowerCAmelCase_					:       Optional[int]    =		sum_aa(_a					,   _a			)
          lowerCAmelCase_					:       Optional[int]    =		sum_aa(_a					,   _a			)
          lowerCAmelCase_					:       Dict    =		sum_aa(_a					,   _a			)
          lowerCAmelCase_					:       Tuple    =		sum_aa(_a					,   _a			)

     lowerCAmelCase_					:       int    =		reformat_hex(_a			) + reformat_hex(_a			) + reformat_hex(_a			) + reformat_hex(_a			)
     return digest


if __name__ == "__main__":
      import doctest

      doctest.testmod()
