



"""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  ):



   def    __UpperCAmelCase    (       self    :	Any				):



     """simple docstring"""
     _snake_case   	=      tempfile.mkdtemp()

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

     _snake_case   	=      {
         '''do_resize''': True,
         '''size''': 2_0,
         '''do_center_crop''': True,
         '''crop_size''': 1_8,
         '''do_normalize''': True,
         '''image_mean''': [0.4_8_1_4_5_4_6_6, 0.4_5_7_8_2_7_5, 0.4_0_8_2_1_0_7_3],
         '''image_std''': [0.2_6_8_6_2_9_5_4, 0.2_6_1_3_0_2_5_8, 0.2_7_5_7_7_7_1_1],
     }
     _snake_case   	=      os.path.join(self.tmpdirname							,       SCREAMING_SNAKE_CASE__				)
     with open(self.image_processor_file							,       '''w'''							,       encoding='''utf-8'''				) as fp:
       json.dump(SCREAMING_SNAKE_CASE__							,       SCREAMING_SNAKE_CASE__				)



   def    __UpperCAmelCase    (       self    :	List[Any]							,       **__lowerCamelCase    :	Optional[int]				):



     """simple docstring"""
     return BertTokenizer.from_pretrained(self.tmpdirname							,       **SCREAMING_SNAKE_CASE__				)



   def    __UpperCAmelCase    (       self    :	Optional[Any]							,       **__lowerCamelCase    :	List[str]				):



     """simple docstring"""
     return BertTokenizerFast.from_pretrained(self.tmpdirname							,       **SCREAMING_SNAKE_CASE__				)



   def    __UpperCAmelCase    (       self    :	Optional[Any]							,       **__lowerCamelCase    :	Any				):



     """simple docstring"""
     return EfficientNetImageProcessor.from_pretrained(self.tmpdirname							,       **SCREAMING_SNAKE_CASE__				)



   def    __UpperCAmelCase    (       self    :	Tuple				):



     """simple docstring"""
     shutil.rmtree(self.tmpdirname				)



   def    __UpperCAmelCase    (       self    :	List[Any]				):



     """simple docstring"""
     _snake_case   	=      [np.random.randint(2_5_5							,       size=(3, 3_0, 4_0_0)							,       dtype=np.uinta				)]
     _snake_case   	=      [Image.fromarray(np.moveaxis(SCREAMING_SNAKE_CASE__							,       0							,       -1				)				) for x in image_inputs]
     return image_inputs



   def    __UpperCAmelCase    (       self    :	str				):



     """simple docstring"""
     _snake_case   	=      self.get_tokenizer()
     _snake_case   	=      self.get_rust_tokenizer()
     _snake_case   	=      self.get_image_processor()

     _snake_case   	=      AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE__							,       image_processor=SCREAMING_SNAKE_CASE__				)
     processor_slow.save_pretrained(self.tmpdirname				)
     _snake_case   	=      AlignProcessor.from_pretrained(self.tmpdirname							,       use_fast=SCREAMING_SNAKE_CASE__				)

     _snake_case   	=      AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE__							,       image_processor=SCREAMING_SNAKE_CASE__				)
     processor_fast.save_pretrained(self.tmpdirname				)
     _snake_case   	=      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							,       SCREAMING_SNAKE_CASE__				)
     self.assertIsInstance(processor_fast.tokenizer							,       SCREAMING_SNAKE_CASE__				)

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



   def    __UpperCAmelCase    (       self    :	Optional[Any]				):



     """simple docstring"""
     _snake_case   	=      AlignProcessor(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=SCREAMING_SNAKE_CASE__							,       padding_value=1.0				)

     _snake_case   	=      AlignProcessor.from_pretrained(
         self.tmpdirname							,       bos_token='''(BOS)'''							,       eos_token='''(EOS)'''							,       do_normalize=SCREAMING_SNAKE_CASE__							,       padding_value=1.0				)

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

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



   def    __UpperCAmelCase    (       self    :	Tuple				):



     """simple docstring"""
     _snake_case   	=      self.get_image_processor()
     _snake_case   	=      self.get_tokenizer()

     _snake_case   	=      AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE__							,       image_processor=SCREAMING_SNAKE_CASE__				)

     _snake_case   	=      self.prepare_image_inputs()

     _snake_case   	=      image_processor(SCREAMING_SNAKE_CASE__							,       return_tensors='''np'''				)
     _snake_case   	=      processor(images=SCREAMING_SNAKE_CASE__							,       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    __UpperCAmelCase    (       self    :	str				):



     """simple docstring"""
     _snake_case   	=      self.get_image_processor()
     _snake_case   	=      self.get_tokenizer()

     _snake_case   	=      AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE__							,       image_processor=SCREAMING_SNAKE_CASE__				)

     _snake_case   	=      '''lower newer'''

     _snake_case   	=      processor(text=SCREAMING_SNAKE_CASE__				)

     _snake_case   	=      tokenizer(SCREAMING_SNAKE_CASE__							,       padding='''max_length'''							,       max_length=6_4				)

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



   def    __UpperCAmelCase    (       self    :	int				):



     """simple docstring"""
     _snake_case   	=      self.get_image_processor()
     _snake_case   	=      self.get_tokenizer()

     _snake_case   	=      AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE__							,       image_processor=SCREAMING_SNAKE_CASE__				)

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

     _snake_case   	=      processor(text=SCREAMING_SNAKE_CASE__							,       images=SCREAMING_SNAKE_CASE__				)

     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(SCREAMING_SNAKE_CASE__				):
       processor()



   def    __UpperCAmelCase    (       self    :	Optional[int]				):



     """simple docstring"""
     _snake_case   	=      self.get_image_processor()
     _snake_case   	=      self.get_tokenizer()

     _snake_case   	=      AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE__							,       image_processor=SCREAMING_SNAKE_CASE__				)

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

     _snake_case   	=      processor.batch_decode(SCREAMING_SNAKE_CASE__				)
     _snake_case   	=      tokenizer.batch_decode(SCREAMING_SNAKE_CASE__				)

     self.assertListEqual(SCREAMING_SNAKE_CASE__							,       SCREAMING_SNAKE_CASE__				)





   def    __UpperCAmelCase    (       self    :	List[str]				):



     """simple docstring"""
     _snake_case   	=      self.get_image_processor()
     _snake_case   	=      self.get_tokenizer()

     _snake_case   	=      AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE__							,       image_processor=SCREAMING_SNAKE_CASE__				)

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

     _snake_case   	=      processor(text=SCREAMING_SNAKE_CASE__							,       images=SCREAMING_SNAKE_CASE__				)

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







import logging

from transformers import PretrainedConfig


_snake_case      = logging.getLogger(__name__)


_snake_case      = {
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}
class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					int       						="bertabs"

 def __init__(						self			:			Optional[int]					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=3_05_22					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=5_12					, SCREAMING_SNAKE_CASE__			:			List[Any]=6					, SCREAMING_SNAKE_CASE__			:			List[str]=5_12					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]=8					, SCREAMING_SNAKE_CASE__			:			List[str]=5_12					, SCREAMING_SNAKE_CASE__			:			List[Any]=0.2					, SCREAMING_SNAKE_CASE__			:			Tuple=6					, SCREAMING_SNAKE_CASE__			:			Any=7_68					, SCREAMING_SNAKE_CASE__			:			str=8					, SCREAMING_SNAKE_CASE__			:			Dict=20_48					, SCREAMING_SNAKE_CASE__			:			List[str]=0.2					, **SCREAMING_SNAKE_CASE__			:			List[str]					, ):






      """simple docstring"""



      super().__init__(**SCREAMING_SNAKE_CASE__   )

      UpperCamelCase						    =					vocab_size
      UpperCamelCase						    =					max_pos

      UpperCamelCase						    =					enc_layers
      UpperCamelCase						    =					enc_hidden_size
      UpperCamelCase						    =					enc_heads
      UpperCamelCase						    =					enc_ff_size
      UpperCamelCase						    =					enc_dropout

      UpperCamelCase						    =					dec_layers
      UpperCamelCase						    =					dec_hidden_size
      UpperCamelCase						    =					dec_heads
      UpperCamelCase						    =					dec_ff_size
      UpperCamelCase						    =					dec_dropout


