


"""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):





       '''simple docstring'''

       def 		lowerCAmelCase       (				self							:      Dict       )					->Tuple:



              """simple docstring"""



              snake_case_           =		tempfile.mkdtemp()

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

              snake_case_           =		BlipProcessor(UpperCAmelCase_		,       UpperCAmelCase_       )

              processor.save_pretrained(self.tmpdirname       )



       def 		lowerCAmelCase       (				self							:      str		,       **UpperCAmelCase_							:      List[str]       )					->Dict:



              """simple docstring"""



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



       def 		lowerCAmelCase       (				self							:      Dict		,       **UpperCAmelCase_							:      Optional[Any]       )					->List[str]:



              """simple docstring"""



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



       def 		lowerCAmelCase       (				self							:      Tuple       )					->Tuple:



              """simple docstring"""



              shutil.rmtree(self.tmpdirname       )



       def 		lowerCAmelCase       (				self							:      Optional[int]       )					->List[Any]:



              """simple docstring"""



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

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

              return image_inputs



       def 		lowerCAmelCase       (				self							:      Union[str, Any]       )					->Tuple:



              """simple docstring"""



              snake_case_           =		BlipProcessor(tokenizer=self.get_tokenizer()		,       image_processor=self.get_image_processor()       )
              processor.save_pretrained(self.tmpdirname       )

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

              snake_case_           =		BlipProcessor.from_pretrained(
                  self.tmpdirname		,       bos_token="""(BOS)"""		,       eos_token="""(EOS)"""		,       do_normalize=UpperCAmelCase_		,       padding_value=1.0       )

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

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



       def 		lowerCAmelCase       (				self							:      Tuple       )					->List[str]:



              """simple docstring"""



              snake_case_           =		self.get_image_processor()
              snake_case_           =		self.get_tokenizer()

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

              snake_case_           =		self.prepare_image_inputs()

              snake_case_           =		image_processor(UpperCAmelCase_		,       return_tensors="""np"""       )
              snake_case_           =		processor(images=UpperCAmelCase_		,       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 		lowerCAmelCase       (				self							:      Optional[Any]       )					->Dict:



              """simple docstring"""



              snake_case_           =		self.get_image_processor()
              snake_case_           =		self.get_tokenizer()

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

              snake_case_           =		"""lower newer"""

              snake_case_           =		processor(text=UpperCAmelCase_       )

              snake_case_           =		tokenizer(UpperCAmelCase_		,       return_token_type_ids=UpperCAmelCase_       )

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



       def 		lowerCAmelCase       (				self							:      str       )					->Optional[int]:



              """simple docstring"""



              snake_case_           =		self.get_image_processor()
              snake_case_           =		self.get_tokenizer()

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

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

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

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

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



       def 		lowerCAmelCase       (				self							:      Optional[Any]       )					->Tuple:



              """simple docstring"""



              snake_case_           =		self.get_image_processor()
              snake_case_           =		self.get_tokenizer()

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

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

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

              self.assertListEqual(UpperCAmelCase_		,       UpperCAmelCase_       )



       def 		lowerCAmelCase       (				self							:      Any       )					->List[Any]:



              """simple docstring"""



              snake_case_           =		self.get_image_processor()
              snake_case_           =		self.get_tokenizer()

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

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

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

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







"""simple docstring"""
from __future__ import annotations

from collections import deque





class      __A     :





							'''simple docstring'''

							def __init__(				self							:      List[Any]		,       UpperCAmelCase_							:      list[str]       )					->List[Any]:



														"""simple docstring"""



														snake_case_           =		[]
														self.adlist.append(
														    {"""value""": """""", """next_states""": [], """fail_state""": 0, """output""": []}       )

														for keyword in keywords:
																					self.add_keyword(UpperCAmelCase_       )
														self.set_fail_transitions()



							def 		lowerCAmelCase       (				self							:      int		,       UpperCAmelCase_							:      int		,       UpperCAmelCase_							:      str       )					->int | None:



														"""simple docstring"""



														for state in self.adlist[current_state]["next_states"]:
																					if char == self.adlist[state]["value"]:
																												return state
														return None



							def 		lowerCAmelCase       (				self							:      int		,       UpperCAmelCase_							:      str       )					->None:



														"""simple docstring"""



														snake_case_           =		0
														for character in keyword:
																					snake_case_           =		self.find_next_state(UpperCAmelCase_		,       UpperCAmelCase_       )
																					if next_state is None:
																												self.adlist.append(
																												    {
																												        """value""": character,
																												        """next_states""": [],
																												        """fail_state""": 0,
																												        """output""": [],
																												    }       )
																												self.adlist[current_state]["next_states"].append(len(self.adlist       ) - 1       )
																												snake_case_           =		len(self.adlist       ) - 1
																					else:
																												snake_case_           =		next_state
														self.adlist[current_state]["output"].append(UpperCAmelCase_       )



							def 		lowerCAmelCase       (				self							:      Optional[Any]       )					->None:



														"""simple docstring"""



														snake_case_           =		deque()
														for node in self.adlist[0]["next_states"]:
																					q.append(UpperCAmelCase_       )
																					snake_case_           =		0
														while q:
																					snake_case_           =		q.popleft()
																					for child in self.adlist[r]["next_states"]:
																												q.append(UpperCAmelCase_       )
																												snake_case_           =		self.adlist[r]["""fail_state"""]
																												while (
																												    self.find_next_state(UpperCAmelCase_		,       self.adlist[child]["""value"""]       ) is None
																												    and state != 0
																												):
																																			snake_case_           =		self.adlist[state]["""fail_state"""]
																												snake_case_           =		self.find_next_state(
																												    UpperCAmelCase_		,       self.adlist[child]["""value"""]       )
																												if self.adlist[child]["fail_state"] is None:
																																			snake_case_           =		0
																												snake_case_           =		(
																												    self.adlist[child]["""output"""]
																												    + self.adlist[self.adlist[child]["""fail_state"""]]["""output"""]
																												)



							def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      str       )					->dict[str, list[int]]:



														"""simple docstring"""



														snake_case_           =		{}  # returns a dict with keywords and list of its occurrences
														snake_case_           =		0
														for i in range(len(UpperCAmelCase_       )       ):
																					while (
																					    self.find_next_state(UpperCAmelCase_		,       string[i]       ) is None
																					    and current_state != 0
																					):
																												snake_case_           =		self.adlist[current_state]["""fail_state"""]
																					snake_case_           =		self.find_next_state(UpperCAmelCase_		,       string[i]       )
																					if next_state is None:
																												snake_case_           =		0
																					else:
																												snake_case_           =		next_state
																												for key in self.adlist[current_state]["output"]:
																																			if key not in result:
																																										snake_case_           =		[]
																																			result[key].append(i - len(UpperCAmelCase_       ) + 1       )
														return result


if __name__ == "__main__":
				import doctest

				doctest.testmod()



