'''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       _UpperCamelCase    (       self )							-> Dict:
         SCREAMING_SNAKE_CASE					:			Dict    	=       tempfile.mkdtemp()

         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       [
             '[UNK]',
             '[CLS]',
             '[SEP]',
             '[PAD]',
             '[MASK]',
             'want',
             '##want',
             '##ed',
             'wa',
             'un',
             'runn',
             '##ing',
             ',',
             'low',
             'lowest',
         ]
         SCREAMING_SNAKE_CASE					:			str    	=       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] ) )

         SCREAMING_SNAKE_CASE					:			Any    	=       {
             'do_resize': True,
             'size': 20,
             'do_center_crop': True,
             'crop_size': 18,
             '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],
         }
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       os.path.join(self.tmpdirname    ,							lowercase__ )
         with open(self.image_processor_file    ,							'w'    ,							encoding='utf-8' ) as fp:
              json.dump(lowercase__    ,							lowercase__ )






    def       _UpperCamelCase    (       self    ,							**lowercase__ )							-> Dict:
         return BertTokenizer.from_pretrained(self.tmpdirname    ,							**lowercase__ )






    def       _UpperCamelCase    (       self    ,							**lowercase__ )							-> Any:
         return BertTokenizerFast.from_pretrained(self.tmpdirname    ,							**lowercase__ )






    def       _UpperCamelCase    (       self    ,							**lowercase__ )							-> Any:
         return EfficientNetImageProcessor.from_pretrained(self.tmpdirname    ,							**lowercase__ )






    def       _UpperCamelCase    (       self )							-> Any:
         shutil.rmtree(self.tmpdirname )






    def       _UpperCamelCase    (       self )							-> Union[str, Any]:
         SCREAMING_SNAKE_CASE					:			Tuple    	=       [np.random.randint(255    ,							size=(3, 30, 400)    ,							dtype=np.uinta )]
         SCREAMING_SNAKE_CASE					:			Dict    	=       [Image.fromarray(np.moveaxis(lowercase__    ,							0    ,							-1 ) ) for x in image_inputs]
         return image_inputs






    def       _UpperCamelCase    (       self )							-> List[Any]:
         SCREAMING_SNAKE_CASE					:			Dict    	=       self.get_tokenizer()
         SCREAMING_SNAKE_CASE					:			Any    	=       self.get_rust_tokenizer()
         SCREAMING_SNAKE_CASE					:			List[str]    	=       self.get_image_processor()

         SCREAMING_SNAKE_CASE					:			Dict    	=       AlignProcessor(tokenizer=lowercase__    ,							image_processor=lowercase__ )
         processor_slow.save_pretrained(self.tmpdirname )
         SCREAMING_SNAKE_CASE					:			Dict    	=       AlignProcessor.from_pretrained(self.tmpdirname    ,							use_fast=lowercase__ )

         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       AlignProcessor(tokenizer=lowercase__    ,							image_processor=lowercase__ )
         processor_fast.save_pretrained(self.tmpdirname )
         SCREAMING_SNAKE_CASE					:			List[str]    	=       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       _UpperCamelCase    (       self )							-> Optional[Any]:
         SCREAMING_SNAKE_CASE					:			Tuple    	=       AlignProcessor(tokenizer=self.get_tokenizer()    ,							image_processor=self.get_image_processor() )
         processor.save_pretrained(self.tmpdirname )

         SCREAMING_SNAKE_CASE					:			Any    	=       self.get_tokenizer(bos_token='(BOS)'    ,							eos_token='(EOS)' )
         SCREAMING_SNAKE_CASE					:			str    	=       self.get_image_processor(do_normalize=lowercase__    ,							padding_value=1.0 )

         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       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       _UpperCamelCase    (       self )							-> int:
         SCREAMING_SNAKE_CASE					:			Any    	=       self.get_image_processor()
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       self.get_tokenizer()

         SCREAMING_SNAKE_CASE					:			str    	=       AlignProcessor(tokenizer=lowercase__    ,							image_processor=lowercase__ )

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

         SCREAMING_SNAKE_CASE					:			Dict    	=       image_processor(lowercase__    ,							return_tensors='np' )
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       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       _UpperCamelCase    (       self )							-> Dict:
         SCREAMING_SNAKE_CASE					:			str    	=       self.get_image_processor()
         SCREAMING_SNAKE_CASE					:			List[str]    	=       self.get_tokenizer()

         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       AlignProcessor(tokenizer=lowercase__    ,							image_processor=lowercase__ )

         SCREAMING_SNAKE_CASE					:			List[Any]    	=       'lower newer'

         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       processor(text=lowercase__ )

         SCREAMING_SNAKE_CASE					:			Dict    	=       tokenizer(lowercase__    ,							padding='max_length'    ,							max_length=64 )

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






    def       _UpperCamelCase    (       self )							-> Optional[Any]:
         SCREAMING_SNAKE_CASE					:			int    	=       self.get_image_processor()
         SCREAMING_SNAKE_CASE					:			Tuple    	=       self.get_tokenizer()

         SCREAMING_SNAKE_CASE					:			Dict    	=       AlignProcessor(tokenizer=lowercase__    ,							image_processor=lowercase__ )

         SCREAMING_SNAKE_CASE					:			int    	=       'lower newer'
         SCREAMING_SNAKE_CASE					:			str    	=       self.prepare_image_inputs()

         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       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       _UpperCamelCase    (       self )							-> Dict:
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       self.get_image_processor()
         SCREAMING_SNAKE_CASE					:			Any    	=       self.get_tokenizer()

         SCREAMING_SNAKE_CASE					:			str    	=       AlignProcessor(tokenizer=lowercase__    ,							image_processor=lowercase__ )

         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       processor.batch_decode(lowercase__ )
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       tokenizer.batch_decode(lowercase__ )

         self.assertListEqual(lowercase__    ,							lowercase__ )






    def       _UpperCamelCase    (       self )							-> int:
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       self.get_image_processor()
         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       self.get_tokenizer()

         SCREAMING_SNAKE_CASE					:			List[Any]    	=       AlignProcessor(tokenizer=lowercase__    ,							image_processor=lowercase__ )

         SCREAMING_SNAKE_CASE					:			List[Any]    	=       'lower newer'
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       self.prepare_image_inputs()

         SCREAMING_SNAKE_CASE					:			Dict    	=       processor(text=lowercase__    ,							images=lowercase__ )

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




'''simple docstring'''





import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs






class 				UpperCAmelCase (       _SCREAMING_SNAKE_CASE ):




    '''simple docstring'''







    def __init__(       self    ,							lowercase__    ,							lowercase__=None    ,							lowercase__=True    ,							lowercase__=None    ,							**lowercase__ )							-> Optional[Any]:
         SCREAMING_SNAKE_CASE					:			int    	=       parent
         SCREAMING_SNAKE_CASE					:			str    	=       config_class
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       has_text_modality
         SCREAMING_SNAKE_CASE					:			Any    	=       kwargs
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       common_properties






    def       _UpperCamelCase    (       self )							-> Union[str, Any]:
         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       self.config_class(**self.inputs_dict )
         SCREAMING_SNAKE_CASE					:			int    	=       (
             ['hidden_size', 'num_attention_heads', 'num_hidden_layers']
             if self.common_properties is None
             else self.common_properties
         )

         # Add common fields for text models
         if self.has_text_modality:
              common_properties.extend(['vocab_size'] )

         # Test that config has the common properties as getters
         for prop in common_properties:
              self.parent.assertTrue(hasattr(lowercase__    ,							lowercase__ )    ,							msg=F"""`{prop}` does not exist""" )

         # Test that config has the common properties as setter
         for idx, name in enumerate(lowercase__ ):
              try:
                   setattr(lowercase__    ,							lowercase__    ,							lowercase__ )
                   self.parent.assertEqual(
                       getattr(lowercase__    ,							lowercase__ )    ,							lowercase__    ,							msg=F"""`{name} value {idx} expected, but was {getattr(lowercase__    ,							lowercase__ )}""" )
              except NotImplementedError:
                   # Some models might not be able to implement setters for common_properties
                   # In that case, a NotImplementedError is raised
                   pass

        # Test if config class can be called with Config(prop_name=..)
         for idx, name in enumerate(lowercase__ ):
              try:
                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       self.config_class(**{name: idx} )
                   self.parent.assertEqual(
                       getattr(lowercase__    ,							lowercase__ )    ,							lowercase__    ,							msg=F"""`{name} value {idx} expected, but was {getattr(lowercase__    ,							lowercase__ )}""" )
              except NotImplementedError:
                   # Some models might not be able to implement setters for common_properties
                   # In that case, a NotImplementedError is raised
                   pass






    def       _UpperCamelCase    (       self )							-> List[str]:
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       self.config_class(**self.inputs_dict )
         SCREAMING_SNAKE_CASE					:			Any    	=       json.loads(config.to_json_string() )
         for key, value in self.inputs_dict.items():
              self.parent.assertEqual(obj[key]    ,							lowercase__ )






    def       _UpperCamelCase    (       self )							-> Optional[int]:
         SCREAMING_SNAKE_CASE					:			Tuple    	=       self.config_class(**self.inputs_dict )

         with tempfile.TemporaryDirectory() as tmpdirname:
              SCREAMING_SNAKE_CASE					:			List[str]    	=       os.path.join(lowercase__    ,							'config.json' )
              config_first.to_json_file(lowercase__ )
              SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       self.config_class.from_json_file(lowercase__ )

         self.parent.assertEqual(config_second.to_dict()    ,							config_first.to_dict() )






    def       _UpperCamelCase    (       self )							-> Dict:
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       self.config_class(**self.inputs_dict )

         with tempfile.TemporaryDirectory() as tmpdirname:
              config_first.save_pretrained(lowercase__ )
              SCREAMING_SNAKE_CASE					:			Optional[int]    	=       self.config_class.from_pretrained(lowercase__ )

         self.parent.assertEqual(config_second.to_dict()    ,							config_first.to_dict() )






    def       _UpperCamelCase    (       self )							-> int:
         SCREAMING_SNAKE_CASE					:			List[Any]    	=       self.config_class(**self.inputs_dict )

         SCREAMING_SNAKE_CASE					:			Optional[int]    	=       'test'
         with tempfile.TemporaryDirectory() as tmpdirname:
              SCREAMING_SNAKE_CASE					:			Tuple    	=       os.path.join(lowercase__    ,							lowercase__ )
              config_first.save_pretrained(lowercase__ )
              SCREAMING_SNAKE_CASE					:			Dict    	=       self.config_class.from_pretrained(lowercase__    ,							subfolder=lowercase__ )

         self.parent.assertEqual(config_second.to_dict()    ,							config_first.to_dict() )






    def       _UpperCamelCase    (       self )							-> List[Any]:
         SCREAMING_SNAKE_CASE					:			Dict    	=       self.config_class(**self.inputs_dict    ,							num_labels=5 )
         self.parent.assertEqual(len(config.idalabel )    ,							5 )
         self.parent.assertEqual(len(config.labelaid )    ,							5 )

         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       3
         self.parent.assertEqual(len(config.idalabel )    ,							3 )
         self.parent.assertEqual(len(config.labelaid )    ,							3 )






    def       _UpperCamelCase    (       self )							-> Dict:
         if self.config_class.is_composition:
              return
         SCREAMING_SNAKE_CASE					:			int    	=       self.config_class()
         self.parent.assertIsNotNone(lowercase__ )






    def       _UpperCamelCase    (       self )							-> Tuple:
         SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       copy.deepcopy(lowercase__ )
         SCREAMING_SNAKE_CASE					:			Any    	=       self.config_class(**lowercase__ )
         SCREAMING_SNAKE_CASE					:			str    	=       []
         for key, value in config_common_kwargs.items():
              if key == "torch_dtype":
                   if not is_torch_available():
                        continue
                   else:
                        import torch

                        if config.torch_dtype != torch.floataa:
                             wrong_values.append(('torch_dtype', config.torch_dtype, torch.floataa) )
              elif getattr(lowercase__    ,							lowercase__ ) != value:
                   wrong_values.append((key, getattr(lowercase__    ,							lowercase__ ), value) )

         if len(lowercase__ ) > 0:
              SCREAMING_SNAKE_CASE					:			List[Any]    	=       '\n'.join([F"""- {v[0]}: got {v[1]} instead of {v[2]}""" for v in wrong_values] )
              raise ValueError(F"""The following keys were not properly set in the config:\n{errors}""" )






    def       _UpperCamelCase    (       self )							-> Optional[int]:
         self.create_and_test_config_common_properties()
         self.create_and_test_config_to_json_string()
         self.create_and_test_config_to_json_file()
         self.create_and_test_config_from_and_save_pretrained()
         self.create_and_test_config_from_and_save_pretrained_subfolder()
         self.create_and_test_config_with_num_labels()
         self.check_config_can_be_init_without_params()
         self.check_config_arguments_init()



