





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, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast

@require_vision
class 					__A   (  unittest.TestCase			):


				def _snake_case				(						self							):
								lowerCamelCase		       =tempfile.mkdtemp()

								lowerCamelCase		       =CLIPImageProcessor()
								lowerCamelCase		       =BertTokenizer.from_pretrained(
								    """hf-internal-testing/tiny-random-BertModel"""      ,       model_input_names=["""input_ids""", """attention_mask"""]							)

								lowerCamelCase		       =GitProcessor(UpperCAmelCase_      ,       UpperCAmelCase_							)

								processor.save_pretrained(self.tmpdirname							)


				def _snake_case				(						self      ,       **UpperCAmelCase_							):
								return AutoProcessor.from_pretrained(self.tmpdirname      ,       **UpperCAmelCase_							).tokenizer


				def _snake_case				(						self      ,       **UpperCAmelCase_							):
								return AutoProcessor.from_pretrained(self.tmpdirname      ,       **UpperCAmelCase_							).image_processor


				def _snake_case				(						self							):
								shutil.rmtree(self.tmpdirname							)


				def _snake_case				(						self							):
								lowerCamelCase		       =[np.random.randint(255      ,       size=(3, 30, 400)      ,       dtype=np.uinta							)]

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

								return image_inputs


				def _snake_case				(						self							):
								lowerCamelCase		       =GitProcessor(tokenizer=self.get_tokenizer()      ,       image_processor=self.get_image_processor()							)
								processor.save_pretrained(self.tmpdirname							)

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

								lowerCamelCase		       =GitProcessor.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 _snake_case				(						self							):
								lowerCamelCase		       =self.get_image_processor()
								lowerCamelCase		       =self.get_tokenizer()

								lowerCamelCase		       =GitProcessor(tokenizer=UpperCAmelCase_      ,       image_processor=UpperCAmelCase_							)

								lowerCamelCase		       =self.prepare_image_inputs()

								lowerCamelCase		       =image_processor(UpperCAmelCase_      ,       return_tensors="""np"""							)
								lowerCamelCase		       =processor(images=UpperCAmelCase_      ,       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 _snake_case				(						self							):
								lowerCamelCase		       =self.get_image_processor()
								lowerCamelCase		       =self.get_tokenizer()

								lowerCamelCase		       =GitProcessor(tokenizer=UpperCAmelCase_      ,       image_processor=UpperCAmelCase_							)

								lowerCamelCase		       ="""lower newer"""

								lowerCamelCase		       =processor(text=UpperCAmelCase_							)

								lowerCamelCase		       =tokenizer(UpperCAmelCase_      ,       return_token_type_ids=UpperCAmelCase_							)

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


				def _snake_case				(						self							):
								lowerCamelCase		       =self.get_image_processor()
								lowerCamelCase		       =self.get_tokenizer()

								lowerCamelCase		       =GitProcessor(tokenizer=UpperCAmelCase_      ,       image_processor=UpperCAmelCase_							)

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

								lowerCamelCase		       =processor(text=UpperCAmelCase_      ,       images=UpperCAmelCase_							)

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

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


				def _snake_case				(						self							):
								lowerCamelCase		       =self.get_image_processor()
								lowerCamelCase		       =self.get_tokenizer()

								lowerCamelCase		       =GitProcessor(tokenizer=UpperCAmelCase_      ,       image_processor=UpperCAmelCase_							)

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

								lowerCamelCase		       =processor.batch_decode(UpperCAmelCase_							)
								lowerCamelCase		       =tokenizer.batch_decode(UpperCAmelCase_							)

								self.assertListEqual(UpperCAmelCase_      ,       UpperCAmelCase_							)


				def _snake_case				(						self							):
								lowerCamelCase		       =self.get_image_processor()
								lowerCamelCase		       =self.get_tokenizer()

								lowerCamelCase		       =GitProcessor(tokenizer=UpperCAmelCase_      ,       image_processor=UpperCAmelCase_							)

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

								lowerCamelCase		       =processor(text=UpperCAmelCase_      ,       images=UpperCAmelCase_							)

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











from typing import Any





class 		A__				:






	def __init__(	self						)      ->   int:




						"""simple docstring"""






						__magic_name__					:							List[str]		   =							[]
						__magic_name__					:							str		   =							0






	def __str__(	self						)      ->   Union[str, Any]:




						"""simple docstring"""






						__magic_name__					:							str		   =							'''<''' + str(self.stack						)[1:-1] + '''>'''
						return printed






	def  lowercase      (	self				,     lowerCamelCase						)      ->   None:




						"""simple docstring"""






						self.stack.append(lowerCamelCase						)
						__magic_name__					:							Tuple		   =							self.length + 1






	def  lowercase      (	self						)      ->   Any:




						"""simple docstring"""






						self.rotate(1						)
						__magic_name__					:							Union[str, Any]		   =							self.stack[self.length - 1]
						__magic_name__					:							Union[str, Any]		   =							self.stack[:-1]
						self.rotate(self.length - 1						)
						__magic_name__					:							List[Any]		   =							self.length - 1
						return dequeued






	def  lowercase      (	self				,     lowerCamelCase						)      ->   None:




						"""simple docstring"""






						for _ in range(lowerCamelCase						):
											__magic_name__					:							str		   =							self.stack[0]
											__magic_name__					:							Optional[Any]		   =							self.stack[1:]
											self.put(lowerCamelCase						)
											__magic_name__					:							List[Any]		   =							self.length - 1






	def  lowercase      (	self						)      ->   Any:




						"""simple docstring"""






						__magic_name__					:							Optional[int]		   =							self.get()
						self.put(lowerCamelCase						)
						self.rotate(self.length - 1						)
						return front






	def  lowercase      (	self						)      ->   int:




						"""simple docstring"""






						return self.length



