


import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
    from PIL import Image

    from transformers import (
        AutoProcessor,
        BertTokenizerFast,
        BlipImageProcessor,
        GPTaTokenizer,
        InstructBlipProcessor,
        PreTrainedTokenizerFast,
    )


@require_vision
class      lowercase__	(       unittest.TestCase		):






  def       _UpperCAmelCase	(       self   :       Optional[int]			):




         """simple docstring"""







         UpperCAmelCase__					    =  tempfile.mkdtemp()

         UpperCAmelCase__					    =  BlipImageProcessor()
         UpperCAmelCase__					    =  GPTaTokenizer.from_pretrained("hf-internal-testing/tiny-random-GPT2Model"			)
         UpperCAmelCase__					    =  BertTokenizerFast.from_pretrained("hf-internal-testing/tiny-random-bert"			)

         UpperCAmelCase__					    =  InstructBlipProcessor(_lowercase		,    _lowercase		,    _lowercase			)

         processor.save_pretrained(self.tmpdirname			)






  def       _UpperCAmelCase	(       self   :       List[Any]		,    **_lowercase   :       Tuple			):




         """simple docstring"""







         return AutoProcessor.from_pretrained(self.tmpdirname		,    **_lowercase			).tokenizer






  def       _UpperCAmelCase	(       self   :       Optional[int]		,    **_lowercase   :       Optional[Any]			):




         """simple docstring"""







         return AutoProcessor.from_pretrained(self.tmpdirname		,    **_lowercase			).image_processor






  def       _UpperCAmelCase	(       self   :       int		,    **_lowercase   :       Dict			):




         """simple docstring"""







         return AutoProcessor.from_pretrained(self.tmpdirname		,    **_lowercase			).qformer_tokenizer






  def       _UpperCAmelCase	(       self   :       Any			):




         """simple docstring"""







         shutil.rmtree(self.tmpdirname			)






  def       _UpperCAmelCase	(       self   :       List[str]			):




         """simple docstring"""







         UpperCAmelCase__					    =  [np.random.randint(2_55		,    size=(3, 30, 4_00)		,    dtype=np.uinta			)]

         UpperCAmelCase__					    =  [Image.fromarray(np.moveaxis(_lowercase		,    0		,    -1			)			) for x in image_inputs]

         return image_inputs






  def       _UpperCAmelCase	(       self   :       int			):




         """simple docstring"""







         UpperCAmelCase__					    =  InstructBlipProcessor(
             tokenizer=self.get_tokenizer()		,    image_processor=self.get_image_processor()		,    qformer_tokenizer=self.get_qformer_tokenizer()		,    )
         processor.save_pretrained(self.tmpdirname			)

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

         UpperCAmelCase__					    =  InstructBlipProcessor.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			)
         self.assertIsInstance(processor.qformer_tokenizer		,    _lowercase			)






  def       _UpperCAmelCase	(       self   :       Union[str, Any]			):




         """simple docstring"""







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

         UpperCAmelCase__					    =  InstructBlipProcessor(
             tokenizer=_lowercase		,    image_processor=_lowercase		,    qformer_tokenizer=_lowercase			)

         UpperCAmelCase__					    =  self.prepare_image_inputs()

         UpperCAmelCase__					    =  image_processor(_lowercase		,    return_tensors="np"			)
         UpperCAmelCase__					    =  processor(images=_lowercase		,    return_tensors="np"			)

         for key in input_feat_extract.keys():
                self.assertAlmostEqual(input_feat_extract[key].sum()		,    input_processor[key].sum()		,    delta=1E-2			)






  def       _UpperCAmelCase	(       self   :       Optional[int]			):




         """simple docstring"""







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

         UpperCAmelCase__					    =  InstructBlipProcessor(
             tokenizer=_lowercase		,    image_processor=_lowercase		,    qformer_tokenizer=_lowercase			)

         UpperCAmelCase__					    =  """lower newer"""

         UpperCAmelCase__					    =  processor(text=_lowercase			)

         UpperCAmelCase__					    =  tokenizer(_lowercase		,    return_token_type_ids=_lowercase			)
         UpperCAmelCase__					    =  qformer_tokenizer(_lowercase		,    return_token_type_ids=_lowercase			)

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

         for key in encoded_tokens_qformer.keys():
                self.assertListEqual(encoded_tokens_qformer[key]		,    encoded_processor["qformer_" + key]			)






  def       _UpperCAmelCase	(       self   :       List[str]			):




         """simple docstring"""







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

         UpperCAmelCase__					    =  InstructBlipProcessor(
             tokenizer=_lowercase		,    image_processor=_lowercase		,    qformer_tokenizer=_lowercase			)

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

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

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

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






  def       _UpperCAmelCase	(       self   :       Any			):




         """simple docstring"""







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

         UpperCAmelCase__					    =  InstructBlipProcessor(
             tokenizer=_lowercase		,    image_processor=_lowercase		,    qformer_tokenizer=_lowercase			)

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

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

         self.assertListEqual(_lowercase		,    _lowercase			)






  def       _UpperCAmelCase	(       self   :       Union[str, Any]			):




         """simple docstring"""







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

         UpperCAmelCase__					    =  InstructBlipProcessor(
             tokenizer=_lowercase		,    image_processor=_lowercase		,    qformer_tokenizer=_lowercase			)

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

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

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












'''simple docstring'''






import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


__UpperCamelCase					    =	HUGGINGFACE_HUB_CACHE


__UpperCamelCase					    =	"config.json"
__UpperCamelCase					    =	"diffusion_pytorch_model.bin"
__UpperCamelCase					    =	"diffusion_flax_model.msgpack"
__UpperCamelCase					    =	"model.onnx"
__UpperCamelCase					    =	"diffusion_pytorch_model.safetensors"
__UpperCamelCase					    =	"weights.pb"
__UpperCamelCase					    =	"https://huggingface.co"
__UpperCamelCase					    =	default_cache_path
__UpperCamelCase					    =	"diffusers_modules"
__UpperCamelCase					    =	os.getenv("HF_MODULES_CACHE", os.path.join(hf_cache_home, "modules"))
__UpperCamelCase					    =	["fp16", "non-ema"]
__UpperCamelCase					    =	".self_attn"


