import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding





class    lowercase__		(  a__):
						UpperCamelCase_	=						["""image_processor""", """tokenizer"""]
						UpperCamelCase_	=						"""CLIPImageProcessor"""
						UpperCamelCase_	=						("""CLIPTokenizer""", """CLIPTokenizerFast""")


						def __init__(			self      :							Dict       ,						UpperCamelCase__      :							Any=None       ,						UpperCamelCase__      :							Union[str, Any]=None       ,						**UpperCamelCase__      :							int		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE				:       Dict     							=				None
												if "feature_extractor" in kwargs:
																		warnings.warn(
																		    '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
																		    ''' instead.'''       ,						_UpperCAmelCase       ,						)
																		SCREAMING_SNAKE_CASE				:       Optional[Any]     							=				kwargs.pop('''feature_extractor'''		)

												SCREAMING_SNAKE_CASE				:       str     							=				image_processor if image_processor is not None else feature_extractor
												if image_processor is None:
																		raise ValueError('''You need to specify an `image_processor`.'''		)
												if tokenizer is None:
																		raise ValueError('''You need to specify a `tokenizer`.'''		)

												super().__init__(_UpperCAmelCase       ,						_UpperCAmelCase		)


						def __call__(			self      :							List[Any]       ,						UpperCamelCase__      :							int=None       ,						UpperCamelCase__      :							str=None       ,						UpperCamelCase__      :							Dict=None       ,						**UpperCamelCase__      :							Tuple		):





												'''simple docstring'''





												if text is None and images is None:
																		raise ValueError('''You have to specify either text or images. Both cannot be none.'''		)

												if text is not None:
																		SCREAMING_SNAKE_CASE				:       int     							=				self.tokenizer(_UpperCAmelCase       ,						return_tensors=_UpperCAmelCase       ,						**_UpperCAmelCase		)

												if images is not None:
																		SCREAMING_SNAKE_CASE				:       Optional[int]     							=				self.image_processor(_UpperCAmelCase       ,						return_tensors=_UpperCAmelCase       ,						**_UpperCAmelCase		)

												if text is not None and images is not None:
																		SCREAMING_SNAKE_CASE				:       str     							=				image_features.pixel_values
																		return encoding
												elif text is not None:
																		return encoding
												else:
																		return BatchEncoding(data=dict(**_UpperCAmelCase		)       ,						tensor_type=_UpperCAmelCase		)


						def 			__A			(			self      :							Union[str, Any]       ,						*UpperCamelCase__      :							List[str]       ,						**UpperCamelCase__      :							Dict		):





												'''simple docstring'''





												return self.tokenizer.batch_decode(*_UpperCAmelCase       ,						**_UpperCAmelCase		)


						def 			__A			(			self      :							int       ,						*UpperCamelCase__      :							Any       ,						**UpperCamelCase__      :							List[Any]		):





												'''simple docstring'''





												return self.tokenizer.decode(*_UpperCAmelCase       ,						**_UpperCAmelCase		)


						@property
						def 			__A			(			self      :							str		):





												'''simple docstring'''





												SCREAMING_SNAKE_CASE				:       Dict     							=				self.tokenizer.model_input_names
												SCREAMING_SNAKE_CASE				:       Tuple     							=				self.image_processor.model_input_names
												return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names		)		)


						@property
						def 			__A			(			self      :							List[Any]		):





												'''simple docstring'''





												warnings.warn(
												    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''       ,						_UpperCAmelCase       ,						)
												return self.image_processor_class



						@property
						def 			__A			(			self      :							Union[str, Any]		):





												'''simple docstring'''





												warnings.warn(
												    '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''       ,						_UpperCAmelCase       ,						)
												return self.image_processor












'''simple docstring'''




import json
import os
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from requests.exceptions import HTTPError

from transformers.utils import (
    CONFIG_NAME,
    FLAX_WEIGHTS_NAME,
    TF2_WEIGHTS_NAME,
    TRANSFORMERS_CACHE,
    WEIGHTS_NAME,
    cached_file,
    get_file_from_repo,
    has_file,
)


lowercase__       : Any         =       '''hf-internal-testing/tiny-random-bert'''
lowercase__       : Optional[Any]         =       os.path.join(TRANSFORMERS_CACHE, '''models--hf-internal-testing--tiny-random-bert''')
lowercase__       : List[Any]         =       '''9b8c223d42b2188cb49d29af482996f9d0f3e5a6'''


class 					SCREAMING_SNAKE_CASE       (unittest.TestCase				):


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          __A		:					List[Any]						=			cached_file(_UpperCAmelCase		,      _UpperCAmelCase)
          # Should have downloaded the file in here
          self.assertTrue(os.path.isdir(_UpperCAmelCase))
          # Cache should contain at least those three subfolders:
          for subfolder in ["blobs", "refs", "snapshots"]:
               self.assertTrue(os.path.isdir(os.path.join(_UpperCAmelCase		,      _UpperCAmelCase)))
          with open(os.path.join(_UpperCAmelCase		,      'refs'		,      'main')) as f:
               __A		:					Any						=			f.read()
          self.assertEqual(_UpperCAmelCase		,      os.path.join(_UpperCAmelCase		,      'snapshots'		,      _UpperCAmelCase		,      _UpperCAmelCase))
          self.assertTrue(os.path.isfile(_UpperCAmelCase))

          # File is cached at the same place the second time.
          __A		:					Tuple						=			cached_file(_UpperCAmelCase		,      _UpperCAmelCase)
          self.assertEqual(_UpperCAmelCase		,      _UpperCAmelCase)

          # Using a specific revision to test the full commit hash.
          __A		:					List[Any]						=			cached_file(_UpperCAmelCase		,      _UpperCAmelCase		,      revision='9b8c223')
          self.assertEqual(_UpperCAmelCase		,      os.path.join(_UpperCAmelCase		,      'snapshots'		,      _UpperCAmelCase		,      _UpperCAmelCase))


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          with self.assertRaisesRegex(_UpperCAmelCase		,      'is not a valid model identifier'):
               __A		:					Dict						=			cached_file('tiny-random-bert'		,      _UpperCAmelCase)

          with self.assertRaisesRegex(_UpperCAmelCase		,      'is not a valid git identifier'):
               __A		:					Optional[int]						=			cached_file(_UpperCAmelCase		,      _UpperCAmelCase		,      revision='aaaa')

          with self.assertRaisesRegex(_UpperCAmelCase		,      'does not appear to have a file named'):
               __A		:					int						=			cached_file(_UpperCAmelCase		,      'conf')


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          with self.assertRaisesRegex(_UpperCAmelCase		,      'does not appear to have a file named'):
               __A		:					Any						=			cached_file(_UpperCAmelCase		,      'conf')

          with open(os.path.join(_UpperCAmelCase		,      'refs'		,      'main')) as f:
               __A		:					Dict						=			f.read()
          self.assertTrue(os.path.isfile(os.path.join(_UpperCAmelCase		,      '.no_exist'		,      _UpperCAmelCase		,      'conf')))

          __A		:					List[Any]						=			cached_file(_UpperCAmelCase		,      'conf'		,      _raise_exceptions_for_missing_entries=_UpperCAmelCase)
          self.assertIsNone(_UpperCAmelCase)

          __A		:					str						=			cached_file(_UpperCAmelCase		,      'conf'		,      local_files_only=_UpperCAmelCase		,      _raise_exceptions_for_missing_entries=_UpperCAmelCase)
          self.assertIsNone(_UpperCAmelCase)

          __A		:					List[str]						=			mock.Mock()
          __A		:					Dict						=			500
          __A		:					List[str]						=			{}
          __A		:					List[Any]						=			HTTPError
          __A		:					Optional[Any]						=			{}

          # Under the mock environment we get a 500 error when trying to reach the tokenizer.
          with mock.patch('requests.Session.request'		,      return_value=_UpperCAmelCase) as mock_head:
               __A		:					Dict						=			cached_file(_UpperCAmelCase		,      'conf'		,      _raise_exceptions_for_connection_errors=_UpperCAmelCase)
               self.assertIsNone(_UpperCAmelCase)
               # This check we did call the fake head request
               mock_head.assert_called()


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          self.assertTrue(has_file('hf-internal-testing/tiny-bert-pt-only'		,      _UpperCAmelCase))
          self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'		,      _UpperCAmelCase))
          self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'		,      _UpperCAmelCase))


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          self.assertIsNone(get_file_from_repo('bert-base-cased'		,      'ahah.txt'))

          # The function raises if the repository does not exist.
          with self.assertRaisesRegex(_UpperCAmelCase		,      'is not a valid model identifier'):
               get_file_from_repo('bert-base-case'		,      _UpperCAmelCase)

          # The function raises if the revision does not exist.
          with self.assertRaisesRegex(_UpperCAmelCase		,      'is not a valid git identifier'):
               get_file_from_repo('bert-base-cased'		,      _UpperCAmelCase		,      revision='ahaha')

          __A		:					List[str]						=			get_file_from_repo('bert-base-cased'		,      _UpperCAmelCase)
          # The name is the cached name which is not very easy to test, so instead we load the content.
          __A		:					List[str]						=			json.loads(open(_UpperCAmelCase		,      'r').read())
          self.assertEqual(config['hidden_size']		,      768)


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          with tempfile.TemporaryDirectory() as tmp_dir:
               __A		:					Tuple						=			Path(_UpperCAmelCase) / 'a.txt'
               filename.touch()
               self.assertEqual(get_file_from_repo(_UpperCAmelCase		,      'a.txt')		,      str(_UpperCAmelCase))

               self.assertIsNone(get_file_from_repo(_UpperCAmelCase		,      'b.txt'))