


import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert 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 AlignProcessor, EfficientNetImageProcessor



@require_vision
class 							A   (	unittest.TestCase							):
					'''simple docstring'''






					def   lowerCamelCase__					(self   :						List[str]		)						->       Optional[Any]:




							"""simple docstring"""


							lowercase__					      =		tempfile.mkdtemp()

							lowercase__					      =		[
							    """[UNK]""",
							    """[CLS]""",
							    """[SEP]""",
							    """[PAD]""",
							    """[MASK]""",
							    """want""",
							    """##want""",
							    """##ed""",
							    """wa""",
							    """un""",
							    """runn""",
							    """##ing""",
							    """,""",
							    """low""",
							    """lowest""",
							]
							lowercase__					      =		os.path.join(self.tmpdirname				, VOCAB_FILES_NAMES["""vocab_file"""]		)
							with open(self.vocab_file				, """w"""				, encoding="""utf-8"""		) as vocab_writer:
									vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]		)		)

							lowercase__					      =		{
							    """do_resize""": True,
							    """size""": 20,
							    """do_center_crop""": True,
							    """crop_size""": 18,
							    """do_normalize""": True,
							    """image_mean""": [0.48_145_466, 0.4_578_275, 0.40_821_073],
							    """image_std""": [0.26_862_954, 0.26_130_258, 0.27_577_711],
							}
							lowercase__					      =		os.path.join(self.tmpdirname				, _UpperCAmelCase		)
							with open(self.image_processor_file				, """w"""				, encoding="""utf-8"""		) as fp:
									json.dump(_UpperCAmelCase				, _UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						str				, **_UpperCAmelCase   :						Union[str, Any]		)						->       List[str]:




							"""simple docstring"""


							return BertTokenizer.from_pretrained(self.tmpdirname				, **_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						List[Any]				, **_UpperCAmelCase   :						Tuple		)						->       List[Any]:




							"""simple docstring"""


							return BertTokenizerFast.from_pretrained(self.tmpdirname				, **_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						List[str]				, **_UpperCAmelCase   :						Optional[int]		)						->       Any:




							"""simple docstring"""


							return EfficientNetImageProcessor.from_pretrained(self.tmpdirname				, **_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						Any		)						->       List[str]:




							"""simple docstring"""


							shutil.rmtree(self.tmpdirname		)

					def   lowerCamelCase__					(self   :						str		)						->       List[str]:




							"""simple docstring"""


							lowercase__					      =		[np.random.randint(255				, size=(3, 30, 400)				, dtype=np.uinta		)]
							lowercase__					      =		[Image.fromarray(np.moveaxis(_UpperCAmelCase				, 0				, -1		)		) for x in image_inputs]
							return image_inputs

					def   lowerCamelCase__					(self   :						Dict		)						->       int:




							"""simple docstring"""


							lowercase__					      =		self.get_tokenizer()
							lowercase__					      =		self.get_rust_tokenizer()
							lowercase__					      =		self.get_image_processor()

							lowercase__					      =		AlignProcessor(tokenizer=_UpperCAmelCase				, image_processor=_UpperCAmelCase		)
							processor_slow.save_pretrained(self.tmpdirname		)
							lowercase__					      =		AlignProcessor.from_pretrained(self.tmpdirname				, use_fast=_UpperCAmelCase		)

							lowercase__					      =		AlignProcessor(tokenizer=_UpperCAmelCase				, image_processor=_UpperCAmelCase		)
							processor_fast.save_pretrained(self.tmpdirname		)
							lowercase__					      =		AlignProcessor.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				, _UpperCAmelCase		)
							self.assertIsInstance(processor_fast.tokenizer				, _UpperCAmelCase		)

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

					def   lowerCamelCase__					(self   :						Dict		)						->       str:




							"""simple docstring"""


							lowercase__					      =		AlignProcessor(tokenizer=self.get_tokenizer()				, image_processor=self.get_image_processor()		)
							processor.save_pretrained(self.tmpdirname		)

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

							lowercase__					      =		AlignProcessor.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   :						List[Any]		)						->       Union[str, Any]:




							"""simple docstring"""


							lowercase__					      =		self.get_image_processor()
							lowercase__					      =		self.get_tokenizer()

							lowercase__					      =		AlignProcessor(tokenizer=_UpperCAmelCase				, image_processor=_UpperCAmelCase		)

							lowercase__					      =		self.prepare_image_inputs()

							lowercase__					      =		image_processor(_UpperCAmelCase				, return_tensors="""np"""		)
							lowercase__					      =		processor(images=_UpperCAmelCase				, 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   lowerCamelCase__					(self   :						Union[str, Any]		)						->       Dict:




							"""simple docstring"""


							lowercase__					      =		self.get_image_processor()
							lowercase__					      =		self.get_tokenizer()

							lowercase__					      =		AlignProcessor(tokenizer=_UpperCAmelCase				, image_processor=_UpperCAmelCase		)

							lowercase__					      =		"""lower newer"""

							lowercase__					      =		processor(text=_UpperCAmelCase		)

							lowercase__					      =		tokenizer(_UpperCAmelCase				, padding="""max_length"""				, max_length=64		)

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

					def   lowerCamelCase__					(self   :						Dict		)						->       int:




							"""simple docstring"""


							lowercase__					      =		self.get_image_processor()
							lowercase__					      =		self.get_tokenizer()

							lowercase__					      =		AlignProcessor(tokenizer=_UpperCAmelCase				, image_processor=_UpperCAmelCase		)

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

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

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

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

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




							"""simple docstring"""


							lowercase__					      =		self.get_image_processor()
							lowercase__					      =		self.get_tokenizer()

							lowercase__					      =		AlignProcessor(tokenizer=_UpperCAmelCase				, image_processor=_UpperCAmelCase		)

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

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

							self.assertListEqual(_UpperCAmelCase				, _UpperCAmelCase		)


					def   lowerCamelCase__					(self   :						int		)						->       str:




							"""simple docstring"""


							lowercase__					      =		self.get_image_processor()
							lowercase__					      =		self.get_tokenizer()

							lowercase__					      =		AlignProcessor(tokenizer=_UpperCAmelCase				, image_processor=_UpperCAmelCase		)

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

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

							self.assertListEqual(list(inputs.keys()		)				, processor.model_input_names		)





import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


A	:		List[Any]    =       logging.get_logger(__name__)



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					def __init__(self   :						List[Any]				, *_UpperCAmelCase   :						int				, **_UpperCAmelCase   :						List[str]		)						->       None:




							"""simple docstring"""


							warnings.warn(
							    """The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
							    """ use CLIPImageProcessor instead."""				, _UpperCAmelCase				, )
							super().__init__(*_UpperCAmelCase				, **_UpperCAmelCase		)

