


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, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast




@require_vision
class       lowercase_					(unittest.TestCase   ):





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =tempfile.mkdtemp()

											a__      =BlipImageProcessor()
											a__      =BertTokenizer.from_pretrained('hf-internal-testing/tiny-random-BertModel')

											a__      =BlipProcessor(lowercase_       ,  lowercase_)

											processor.save_pretrained(self.tmpdirname)





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> str:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).tokenizer





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> List[str]:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).image_processor





				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											shutil.rmtree(self.tmpdirname)





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =[np.random.randint(255       ,  size=(3, 30, 400)       ,  dtype=np.uinta)]

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

											return image_inputs





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =BlipProcessor(tokenizer=self.get_tokenizer()       ,  image_processor=self.get_image_processor())
											processor.save_pretrained(self.tmpdirname)

											a__      =self.get_tokenizer(bos_token='(BOS)'       ,  eos_token='(EOS)')
											a__      =self.get_image_processor(do_normalize=lowercase_       ,  padding_value=1.0)

											a__      =BlipProcessor.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:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      =self.prepare_image_inputs()

											a__      =image_processor(lowercase_       ,  return_tensors='np')
											a__      =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)  -> List[str]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'

											a__      =processor(text=lowercase_)

											a__      =tokenizer(lowercase_       ,  return_token_type_ids=lowercase_)

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





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

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

											a__      =processor(text=lowercase_       ,  images=lowercase_)

											self.assertListEqual(list(inputs.keys())       ,  ['pixel_values', 'input_ids', 'attention_mask'])

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





				def 						__UpperCamelCase    (				self)  -> Tuple:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

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

											a__      =processor.batch_decode(lowercase_)
											a__      =tokenizer.batch_decode(lowercase_)

											self.assertListEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

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

											a__      =processor(text=lowercase_       ,  images=lowercase_)

											# For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
											self.assertListEqual(list(inputs.keys())       ,  ['pixel_values', 'input_ids', 'attention_mask'])





from importlib import import_module

from .logging import get_logger


_lowerCAmelCase:						str   				=       get_logger(__name__)




class       lowercase_					:





				def __init__(				self       ,  lowercase_       ,  lowercase_=None)  -> Tuple:
											a__      =attrs or []
											if module is not None:
																		for key in module.__dict__:
																									if key in attrs or not key.startswith('__'):
																																setattr(self       ,  lowercase_       ,  getattr(lowercase_       ,  lowercase_))
											a__      =module._original_module if isinstance(lowercase_       ,  _PatchedModuleObj) else module







class       lowercase_					:
				snake_case	    =[]





				def __init__(				self       ,  lowercase_       ,  lowercase_       ,  lowercase_       ,  lowercase_=None)  -> List[str]:
											a__      =obj
											a__      =target
											a__      =new
											a__      =target.split('.')[0]
											a__      ={}
											a__      =attrs or []





				def __enter__(				self)  -> Optional[int]:
											*a__    ,     a__      =self.target.split('.')

											# Patch modules:
											# it's used to patch attributes of submodules like "os.path.join";
											# in this case we need to patch "os" and "os.path"

											for i in range(len(lowercase_)):
																		try:
																									a__      =import_module('.'.join(submodules[: i + 1]))
																		except ModuleNotFoundError:
																									continue
																		# We iterate over all the globals in self.obj in case we find "os" or "os.path"
																		for attr in self.obj.__dir__():
																									a__      =getattr(self.obj       ,  lowercase_)
																									# We don't check for the name of the global, but rather if its value *is* "os" or "os.path".
																									# This allows to patch renamed modules like "from os import path as ospath".
																									if obj_attr is submodule or (
																									    (isinstance(lowercase_       ,  _PatchedModuleObj) and obj_attr._original_module is submodule)
																									):
																																a__      =obj_attr
																																# patch at top level
																																setattr(self.obj       ,  lowercase_       ,  _PatchedModuleObj(lowercase_       ,  attrs=self.attrs))
																																a__      =getattr(self.obj       ,  lowercase_)
																																# construct lower levels patches
																																for key in submodules[i + 1 :]:
																																							setattr(lowercase_       ,  lowercase_       ,  _PatchedModuleObj(getattr(lowercase_       ,  lowercase_       ,  lowercase_)       ,  attrs=self.attrs))
																																							a__      =getattr(lowercase_       ,  lowercase_)
																																# finally set the target attribute
																																setattr(lowercase_       ,  lowercase_       ,  self.new)

        # Patch attribute itself:
        # it's used for builtins like "open",
        # and also to patch "os.path.join" we may also need to patch "join"
        # itself if it was imported as "from os.path import join".

											if submodules:  # if it's an attribute of a submodule like "os.path.join"
																		try:
																									a__      =getattr(import_module('.'.join(lowercase_))       ,  lowercase_)
																		except (AttributeError, ModuleNotFoundError):
																									return
																		# We iterate over all the globals in self.obj in case we find "os.path.join"
																		for attr in self.obj.__dir__():
																									# We don't check for the name of the global, but rather if its value *is* "os.path.join".
																									# This allows to patch renamed attributes like "from os.path import join as pjoin".
																									if getattr(self.obj       ,  lowercase_) is attr_value:
																																a__      =getattr(self.obj       ,  lowercase_)
																																setattr(self.obj       ,  lowercase_       ,  self.new)
											elif target_attr in globals()["__builtins__"]:  # if it'a s builtin like "open"
																		a__      =globals()['__builtins__'][target_attr]
																		setattr(self.obj       ,  lowercase_       ,  self.new)
											else:
																		raise RuntimeError(F"""Tried to patch attribute {target_attr} instead of a submodule.""")





				def __exit__(				self       ,  *lowercase_)  -> str:
											for attr in list(self.original):
																		setattr(self.obj       ,  lowercase_       ,  self.original.pop(lowercase_))





				def 						__UpperCamelCase    (				self)  -> Any:
											self.__enter__()
											self._active_patches.append(self)





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											try:
																		self._active_patches.remove(self)
											except ValueError:
																		# If the patch hasn't been started this will fail
																		return None

											return self.__exit__()

