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     ):


   def 			lowercase_      (self     :						int		)						->				Union[str, Any]:
         """simple docstring"""



         UpperCAmelCase__								=  tempfile.mkdtemp()

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

         UpperCAmelCase__								=  {
             "do_resize": True,
             "size": 2_0,
             "do_center_crop": True,
             "crop_size": 1_8,
             "do_normalize": True,
             "image_mean": [0.48145466, 0.4578275, 0.40821073],
             "image_std": [0.26862954, 0.26130258, 0.27577711],
         }
         UpperCAmelCase__								=  os.path.join(self.tmpdirname       ,  __UpperCAmelCase		)
         with open(self.image_processor_file       ,  "w"       ,  encoding="utf-8"		) as fp:
               json.dump(__UpperCAmelCase       ,  __UpperCAmelCase		)


   def 			lowercase_      (self     :						str       ,  **__UpperCAmelCase     :						int		)						->				List[Any]:
         """simple docstring"""



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


   def 			lowercase_      (self     :						Tuple       ,  **__UpperCAmelCase     :						List[str]		)						->				str:
         """simple docstring"""



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


   def 			lowercase_      (self     :						Dict       ,  **__UpperCAmelCase     :						List[Any]		)						->				Optional[int]:
         """simple docstring"""



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


   def 			lowercase_      (self     :						Any		)						->				Dict:
         """simple docstring"""



         shutil.rmtree(self.tmpdirname		)


   def 			lowercase_      (self     :						int		)						->				Union[str, Any]:
         """simple docstring"""



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


   def 			lowercase_      (self     :						int		)						->				Union[str, Any]:
         """simple docstring"""



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

         UpperCAmelCase__								=  AlignProcessor(tokenizer=__UpperCAmelCase       ,  image_processor=__UpperCAmelCase		)
         processor_slow.save_pretrained(self.tmpdirname		)
         UpperCAmelCase__								=  AlignProcessor.from_pretrained(self.tmpdirname       ,  use_fast=__UpperCAmelCase		)

         UpperCAmelCase__								=  AlignProcessor(tokenizer=__UpperCAmelCase       ,  image_processor=__UpperCAmelCase		)
         processor_fast.save_pretrained(self.tmpdirname		)
         UpperCAmelCase__								=  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 			lowercase_      (self     :						Dict		)						->				Dict:
         """simple docstring"""



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

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

         UpperCAmelCase__								=  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 			lowercase_      (self     :						int		)						->				Dict:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  AlignProcessor(tokenizer=__UpperCAmelCase       ,  image_processor=__UpperCAmelCase		)

         UpperCAmelCase__								=  self.prepare_image_inputs()

         UpperCAmelCase__								=  image_processor(__UpperCAmelCase       ,  return_tensors="np"		)
         UpperCAmelCase__								=  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 			lowercase_      (self     :						List[Any]		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  AlignProcessor(tokenizer=__UpperCAmelCase       ,  image_processor=__UpperCAmelCase		)

         UpperCAmelCase__								=  "lower newer"

         UpperCAmelCase__								=  processor(text=__UpperCAmelCase		)

         UpperCAmelCase__								=  tokenizer(__UpperCAmelCase       ,  padding="max_length"       ,  max_length=6_4		)

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


   def 			lowercase_      (self     :						Dict		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  AlignProcessor(tokenizer=__UpperCAmelCase       ,  image_processor=__UpperCAmelCase		)

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

         UpperCAmelCase__								=  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 			lowercase_      (self     :						Optional[Any]		)						->				Union[str, Any]:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  AlignProcessor(tokenizer=__UpperCAmelCase       ,  image_processor=__UpperCAmelCase		)

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

         UpperCAmelCase__								=  processor.batch_decode(__UpperCAmelCase		)
         UpperCAmelCase__								=  tokenizer.batch_decode(__UpperCAmelCase		)

         self.assertListEqual(__UpperCAmelCase       ,  __UpperCAmelCase		)





   def 			lowercase_      (self     :						List[str]		)						->				Any:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  AlignProcessor(tokenizer=__UpperCAmelCase       ,  image_processor=__UpperCAmelCase		)

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

         UpperCAmelCase__								=  processor(text=__UpperCAmelCase       ,  images=__UpperCAmelCase		)

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




from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

UpperCamelCase__											=					[
    'python',
    'tqdm',
    'regex',
    'requests',
    'packaging',
    'filelock',
    'numpy',
    'tokenizers',
    'huggingface-hub',
    'safetensors',
    'accelerate',
    'pyyaml',
]

for pkg in pkgs_to_check_at_runtime:
      if pkg in deps:
            if pkg == "tokenizers":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_tokenizers_available

                  if not is_tokenizers_available():
                        continue  # not required, check version only if installed
            elif pkg == "accelerate":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_accelerate_available

                  # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
                  # Transformers with PyTorch
                  if not is_accelerate_available():
                        continue  # not required, check version only if installed

            require_version_core(deps[pkg])
      else:
            raise ValueError(f'''can\'t find {pkg} in {deps.keys()}, check dependency_versions_table.py''')




def    lowerCAmelCase_ (     __A,  __A=None							)     ->				Dict:







      '''simple docstring'''


      require_version(deps[pkg],  __A							)



