
'''simple docstring'''



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   UpperCAmelCase_					(		unittest.TestCase			):






						'''simple docstring'''






						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			tempfile.mkdtemp()

												_lowerCAmelCase  						=			[
												    """[UNK]""",
												    """[CLS]""",
												    """[SEP]""",
												    """[PAD]""",
												    """[MASK]""",
												    """want""",
												    """##want""",
												    """##ed""",
												    """wa""",
												    """un""",
												    """runn""",
												    """##ing""",
												    """,""",
												    """low""",
												    """lowest""",
												]
												_lowerCAmelCase  						=			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]				)				)

												_lowerCAmelCase  						=			{
												    """do_resize""": True,
												    """size""": 20,
												    """do_center_crop""": True,
												    """crop_size""": 18,
												    """do_normalize""": True,
												    """image_mean""": [0.4814_5466, 0.457_8275, 0.4082_1073],
												    """image_std""": [0.2686_2954, 0.2613_0258, 0.2757_7711],
												}
												_lowerCAmelCase  						=			os.path.join(self.tmpdirname   ,       _lowercase				)
												with open(self.image_processor_file   ,       """w"""   ,       encoding="""utf-8"""				) as fp:
																		json.dump(_lowercase   ,       _lowercase				)




						def  _lowercase     ( self   ,       **_lowercase				):

												"""simple docstring"""



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




						def  _lowercase     ( self   ,       **_lowercase				):

												"""simple docstring"""



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




						def  _lowercase     ( self   ,       **_lowercase				):

												"""simple docstring"""



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




						def  _lowercase     ( self				):

												"""simple docstring"""



												shutil.rmtree(self.tmpdirname				)




						def  _lowercase     ( self				):

												"""simple docstring"""



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




						def  _lowercase     ( self				):

												"""simple docstring"""



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

												_lowerCAmelCase  						=			AlignProcessor(tokenizer=_lowercase   ,       image_processor=_lowercase				)
												processor_slow.save_pretrained(self.tmpdirname				)
												_lowerCAmelCase  						=			AlignProcessor.from_pretrained(self.tmpdirname   ,       use_fast=_lowercase				)

												_lowerCAmelCase  						=			AlignProcessor(tokenizer=_lowercase   ,       image_processor=_lowercase				)
												processor_fast.save_pretrained(self.tmpdirname				)
												_lowerCAmelCase  						=			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   ,       _lowercase				)
												self.assertIsInstance(processor_fast.tokenizer   ,       _lowercase				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



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

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

												_lowerCAmelCase  						=			AlignProcessor.from_pretrained(
												    self.tmpdirname   ,       bos_token="""(BOS)"""   ,       eos_token="""(EOS)"""   ,       do_normalize=_lowercase   ,       padding_value=1.0				)

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

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.get_image_processor()
												_lowerCAmelCase  						=			self.get_tokenizer()

												_lowerCAmelCase  						=			AlignProcessor(tokenizer=_lowercase   ,       image_processor=_lowercase				)

												_lowerCAmelCase  						=			self.prepare_image_inputs()

												_lowerCAmelCase  						=			image_processor(_lowercase   ,       return_tensors="""np"""				)
												_lowerCAmelCase  						=			processor(images=_lowercase   ,       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  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.get_image_processor()
												_lowerCAmelCase  						=			self.get_tokenizer()

												_lowerCAmelCase  						=			AlignProcessor(tokenizer=_lowercase   ,       image_processor=_lowercase				)

												_lowerCAmelCase  						=			"""lower newer"""

												_lowerCAmelCase  						=			processor(text=_lowercase				)

												_lowerCAmelCase  						=			tokenizer(_lowercase   ,       padding="""max_length"""   ,       max_length=64				)

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




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.get_image_processor()
												_lowerCAmelCase  						=			self.get_tokenizer()

												_lowerCAmelCase  						=			AlignProcessor(tokenizer=_lowercase   ,       image_processor=_lowercase				)

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

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

												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(_lowercase				):
																		processor()




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.get_image_processor()
												_lowerCAmelCase  						=			self.get_tokenizer()

												_lowerCAmelCase  						=			AlignProcessor(tokenizer=_lowercase   ,       image_processor=_lowercase				)

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

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

												self.assertListEqual(_lowercase   ,       _lowercase				)




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.get_image_processor()
												_lowerCAmelCase  						=			self.get_tokenizer()

												_lowerCAmelCase  						=			AlignProcessor(tokenizer=_lowercase   ,       image_processor=_lowercase				)

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

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

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


'''simple docstring'''



import logging

from transformers import PretrainedConfig


_lowercase    =		logging.getLogger(__name__)


_lowercase    =		{
    """bertabs-finetuned-cnndm""": """https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json""",
}




class   UpperCAmelCase_					(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						_lowercase		:				Optional[Any]									=       '''bertabs'''




						def __init__( self   ,       _lowercase=30_522   ,       _lowercase=512   ,       _lowercase=6   ,       _lowercase=512   ,       _lowercase=8   ,       _lowercase=512   ,       _lowercase=0.2   ,       _lowercase=6   ,       _lowercase=768   ,       _lowercase=8   ,       _lowercase=2_048   ,       _lowercase=0.2   ,       **_lowercase   ,       ):

												"""simple docstring"""



												super().__init__(**_lowercase				)

												_lowerCAmelCase  						=			vocab_size
												_lowerCAmelCase  						=			max_pos

												_lowerCAmelCase  						=			enc_layers
												_lowerCAmelCase  						=			enc_hidden_size
												_lowerCAmelCase  						=			enc_heads
												_lowerCAmelCase  						=			enc_ff_size
												_lowerCAmelCase  						=			enc_dropout

												_lowerCAmelCase  						=			dec_layers
												_lowerCAmelCase  						=			dec_hidden_size
												_lowerCAmelCase  						=			dec_heads
												_lowerCAmelCase  						=			dec_ff_size
												_lowerCAmelCase  						=			dec_dropout
