
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 					lowercase__(							unittest.TestCase				):



	"""simple docstring"""




	def 		_lowercase    (			self    :     Union[str, Any]			)			->	List[Any]:
					lowercase_	    =   tempfile.mkdtemp()

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

					lowercase_	    =   {
					    '''do_resize''': True,
					    '''size''': 2_0,
					    '''do_center_crop''': True,
					    '''crop_size''': 1_8,
					    '''do_normalize''': True,
					    '''image_mean''': [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
					    '''image_std''': [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
					}
					lowercase_	    =   os.path.join(self.tmpdirname			,				SCREAMING_SNAKE_CASE_			)
					with open(self.image_processor_file			,				'''w'''			,				encoding='''utf-8'''			) as fp:
									json.dump(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     Optional[Any]			,				**SCREAMING_SNAKE_CASE_    :     Union[str, Any]			)			->	Any:
					return BertTokenizer.from_pretrained(self.tmpdirname			,				**SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     Optional[Any]			,				**SCREAMING_SNAKE_CASE_    :     Tuple			)			->	Tuple:
					return BertTokenizerFast.from_pretrained(self.tmpdirname			,				**SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     List[str]			,				**SCREAMING_SNAKE_CASE_    :     List[str]			)			->	Optional[int]:
					return EfficientNetImageProcessor.from_pretrained(self.tmpdirname			,				**SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     Dict			)			->	Optional[Any]:
					shutil.rmtree(self.tmpdirname			)
	def 		_lowercase    (			self    :     Dict			)			->	Any:
					lowercase_	    =   [np.random.randint(2_5_5			,				size=(3, 3_0, 4_0_0)			,				dtype=np.uinta			)]
					lowercase_	    =   [Image.fromarray(np.moveaxis(SCREAMING_SNAKE_CASE_			,				0			,				-1			)			) for x in image_inputs]
					return image_inputs
	def 		_lowercase    (			self    :     Optional[Any]			)			->	Union[str, Any]:
					lowercase_	    =   self.get_tokenizer()
					lowercase_	    =   self.get_rust_tokenizer()
					lowercase_	    =   self.get_image_processor()

					lowercase_	    =   AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE_			,				image_processor=SCREAMING_SNAKE_CASE_			)
					processor_slow.save_pretrained(self.tmpdirname			)
					lowercase_	    =   AlignProcessor.from_pretrained(self.tmpdirname			,				use_fast=SCREAMING_SNAKE_CASE_			)

					lowercase_	    =   AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE_			,				image_processor=SCREAMING_SNAKE_CASE_			)
					processor_fast.save_pretrained(self.tmpdirname			)
					lowercase_	    =   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			,				SCREAMING_SNAKE_CASE_			)
					self.assertIsInstance(processor_fast.tokenizer			,				SCREAMING_SNAKE_CASE_			)

					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			,				SCREAMING_SNAKE_CASE_			)
					self.assertIsInstance(processor_fast.image_processor			,				SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     List[Any]			)			->	int:
					lowercase_	    =   AlignProcessor(tokenizer=self.get_tokenizer()			,				image_processor=self.get_image_processor()			)
					processor.save_pretrained(self.tmpdirname			)

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

					lowercase_	    =   AlignProcessor.from_pretrained(
					    self.tmpdirname			,				bos_token='''(BOS)'''			,				eos_token='''(EOS)'''			,				do_normalize=SCREAMING_SNAKE_CASE_			,				padding_value=1.0			)

					self.assertEqual(processor.tokenizer.get_vocab()			,				tokenizer_add_kwargs.get_vocab()			)
					self.assertIsInstance(processor.tokenizer			,				SCREAMING_SNAKE_CASE_			)

					self.assertEqual(processor.image_processor.to_json_string()			,				image_processor_add_kwargs.to_json_string()			)
					self.assertIsInstance(processor.image_processor			,				SCREAMING_SNAKE_CASE_			)
	def 		_lowercase    (			self    :     List[Any]			)			->	Union[str, Any]:
					lowercase_	    =   self.get_image_processor()
					lowercase_	    =   self.get_tokenizer()

					lowercase_	    =   AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE_			,				image_processor=SCREAMING_SNAKE_CASE_			)

					lowercase_	    =   self.prepare_image_inputs()

					lowercase_	    =   image_processor(SCREAMING_SNAKE_CASE_			,				return_tensors='''np'''			)
					lowercase_	    =   processor(images=SCREAMING_SNAKE_CASE_			,				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    :     Optional[Any]			)			->	int:
					lowercase_	    =   self.get_image_processor()
					lowercase_	    =   self.get_tokenizer()

					lowercase_	    =   AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE_			,				image_processor=SCREAMING_SNAKE_CASE_			)

					lowercase_	    =   '''lower newer'''

					lowercase_	    =   processor(text=SCREAMING_SNAKE_CASE_			)

					lowercase_	    =   tokenizer(SCREAMING_SNAKE_CASE_			,				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			)			->	str:
					lowercase_	    =   self.get_image_processor()
					lowercase_	    =   self.get_tokenizer()

					lowercase_	    =   AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE_			,				image_processor=SCREAMING_SNAKE_CASE_			)

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

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

					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(SCREAMING_SNAKE_CASE_			):
									processor()
	def 		_lowercase    (			self    :     int			)			->	List[str]:
					lowercase_	    =   self.get_image_processor()
					lowercase_	    =   self.get_tokenizer()

					lowercase_	    =   AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE_			,				image_processor=SCREAMING_SNAKE_CASE_			)

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

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

					self.assertListEqual(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)




	def 		_lowercase    (			self    :     str			)			->	Any:
					lowercase_	    =   self.get_image_processor()
					lowercase_	    =   self.get_tokenizer()

					lowercase_	    =   AlignProcessor(tokenizer=SCREAMING_SNAKE_CASE_			,				image_processor=SCREAMING_SNAKE_CASE_			)

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

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

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






import unittest

from knapsack import knapsack as k
class 					lowercase__(							unittest.TestCase				):



	"""simple docstring"""




	def 		_lowercase    (			self    :     Optional[int]			)			->	str:
					lowercase_	    =   0
					lowercase_	    =   [0]
					lowercase_	    =   [0]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				0			)

					lowercase_	    =   [6_0]
					lowercase_	    =   [1_0]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				0			)
	def 		_lowercase    (			self    :     int			)			->	str:
					lowercase_	    =   3
					lowercase_	    =   [1, 2, 3]
					lowercase_	    =   [3, 2, 1]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				5			)




	def 		_lowercase    (			self    :     str			)			->	Tuple:
					lowercase_	    =   5_0
					lowercase_	    =   [6_0, 1_0_0, 1_2_0]
					lowercase_	    =   [1_0, 2_0, 3_0]
					lowercase_	    =   len(SCREAMING_SNAKE_CASE_			)
					self.assertEqual(k.knapsack(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			)			,				2_2_0			)


if __name__ == "__main__":
						unittest.main()




