



import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip 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 OwlViTImageProcessor, OwlViTProcessor


@require_vision
class 	__snake_case   ( unittest.TestCase ):
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  tempfile.mkdtemp()

						# fmt: off
						lowerCAmelCase__		  =  ['', 'l', 'o', 'w', 'e', 'r', 's', 't', 'i', 'd', 'n', 'lo', 'l</w>', 'w</w>', 'r</w>', 't</w>', 'low</w>', 'er</w>', 'lowest</w>', 'newer</w>', 'wider', '<unk>', '<|startoftext|>', '<|endoftext|>']
						# fmt: on
						lowerCAmelCase__		  =  dict(zip(a_    ,range(len(a_						)						)						)						)
						lowerCAmelCase__		  =  ['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>', '']
						lowerCAmelCase__		  =  {'unk_token': '<unk>'}

						lowerCAmelCase__		  =  os.path.join(self.tmpdirname    ,VOCAB_FILES_NAMES['vocab_file']						)
						lowerCAmelCase__		  =  os.path.join(self.tmpdirname    ,VOCAB_FILES_NAMES['merges_file']						)
						with open(self.vocab_file    ,'w'    ,encoding='utf-8'						) as fp:
										fp.write(json.dumps(a_						) + '\n'						)
						with open(self.merges_file    ,'w'    ,encoding='utf-8'						) as fp:
										fp.write('\n'.join(a_						)						)

						lowerCAmelCase__		  =  {
						    'do_resize': True,
						    'size': 20,
						    'do_center_crop': True,
						    'crop_size': 18,
						    'do_normalize': True,
						    'image_mean': [0.48145466, 0.4578275, 0.40821073],
						    'image_std': [0.26862954, 0.26130258, 0.27577711],
						}
						lowerCAmelCase__		  =  os.path.join(self.tmpdirname    ,a_						)
						with open(self.image_processor_file    ,'w'    ,encoding='utf-8'						) as fp:
										json.dump(a_    ,a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self    ,**a_						):







						"""simple docstring"""
						return CLIPTokenizer.from_pretrained(self.tmpdirname    ,pad_token='!'    ,**a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self    ,**a_						):







						"""simple docstring"""
						return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,pad_token='!'    ,**a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self    ,**a_						):







						"""simple docstring"""
						return OwlViTImageProcessor.from_pretrained(self.tmpdirname    ,**a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						shutil.rmtree(self.tmpdirname						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  [np.random.randint(255    ,size=(3, 30, 400)    ,dtype=np.uinta						)]

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

						return image_inputs
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_tokenizer()
						lowerCAmelCase__		  =  self.get_rust_tokenizer()
						lowerCAmelCase__		  =  self.get_image_processor()

						lowerCAmelCase__		  =  OwlViTProcessor(tokenizer=a_    ,image_processor=a_						)
						processor_slow.save_pretrained(self.tmpdirname						)
						lowerCAmelCase__		  =  OwlViTProcessor.from_pretrained(self.tmpdirname    ,use_fast=a_						)

						lowerCAmelCase__		  =  OwlViTProcessor(tokenizer=a_    ,image_processor=a_						)
						processor_fast.save_pretrained(self.tmpdirname						)
						lowerCAmelCase__		  =  OwlViTProcessor.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    ,a_						)
						self.assertIsInstance(processor_fast.tokenizer    ,a_						)

						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    ,a_						)
						self.assertIsInstance(processor_fast.image_processor    ,a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  OwlViTProcessor(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=a_						)

						lowerCAmelCase__		  =  OwlViTProcessor.from_pretrained(
						    self.tmpdirname    ,bos_token='(BOS)'    ,eos_token='(EOS)'    ,do_normalize=a_						)

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

						self.assertEqual(processor.image_processor.to_json_string()    ,image_processor_add_kwargs.to_json_string()						)
						self.assertIsInstance(processor.image_processor    ,a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_image_processor()
						lowerCAmelCase__		  =  self.get_tokenizer()

						lowerCAmelCase__		  =  OwlViTProcessor(tokenizer=a_    ,image_processor=a_						)

						lowerCAmelCase__		  =  self.prepare_image_inputs()

						lowerCAmelCase__		  =  image_processor(a_    ,return_tensors='np'						)
						lowerCAmelCase__		  =  processor(images=a_    ,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 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_image_processor()
						lowerCAmelCase__		  =  self.get_tokenizer()

						lowerCAmelCase__		  =  OwlViTProcessor(tokenizer=a_    ,image_processor=a_						)

						lowerCAmelCase__		  =  'lower newer'

						lowerCAmelCase__		  =  processor(text=a_    ,return_tensors='np'						)

						lowerCAmelCase__		  =  tokenizer(a_    ,return_tensors='np'						)

						for key in encoded_tok.keys():
										self.assertListEqual(encoded_tok[key][0].tolist()    ,encoded_processor[key][0].tolist()						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_image_processor()
						lowerCAmelCase__		  =  self.get_tokenizer()

						lowerCAmelCase__		  =  OwlViTProcessor(tokenizer=a_    ,image_processor=a_						)

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

						lowerCAmelCase__		  =  processor(text=a_    ,images=a_						)

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

						# test if it raises when no input is passed
						with pytest.raises(a_						):
										processor()
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  'google/owlvit-base-patch32'
						lowerCAmelCase__		  =  OwlViTProcessor.from_pretrained(a_						)

						lowerCAmelCase__		  =  ['cat', 'nasa badge']
						lowerCAmelCase__		  =  processor(text=a_						)

						lowerCAmelCase__		  =  16
						self.assertListEqual(list(inputs.keys()						)    ,['input_ids', 'attention_mask']						)
						self.assertEqual(inputs['input_ids'].shape    ,(2, seq_length)						)

						# test if it raises when no input is passed
						with pytest.raises(a_						):
										processor()
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  'google/owlvit-base-patch32'
						lowerCAmelCase__		  =  OwlViTProcessor.from_pretrained(a_						)

						lowerCAmelCase__		  =  [['cat', 'nasa badge'], ['person']]
						lowerCAmelCase__		  =  processor(text=a_						)

						lowerCAmelCase__		  =  16
						lowerCAmelCase__		  =  len(a_						)
						lowerCAmelCase__		  =  max([len(a_						) for texts in input_texts]						)

						self.assertListEqual(list(inputs.keys()						)    ,['input_ids', 'attention_mask']						)
						self.assertEqual(inputs['input_ids'].shape    ,(batch_size * num_max_text_queries, seq_length)						)

						# test if it raises when no input is passed
						with pytest.raises(a_						):
										processor()
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  'google/owlvit-base-patch32'
						lowerCAmelCase__		  =  OwlViTProcessor.from_pretrained(a_						)

						lowerCAmelCase__		  =  ['cat', 'nasa badge']
						lowerCAmelCase__		  =  processor(text=a_						)

						lowerCAmelCase__		  =  16
						lowerCAmelCase__		  =  inputs['input_ids']
						lowerCAmelCase__		  =  [
						    [4_9406, 2368, 4_9407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
						    [4_9406, 6841, 1_1301, 4_9407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
						]

						self.assertListEqual(list(inputs.keys()						)    ,['input_ids', 'attention_mask']						)
						self.assertEqual(inputs['input_ids'].shape    ,(2, seq_length)						)
						self.assertListEqual(list(input_ids[0]						)    ,predicted_ids[0]						)
						self.assertListEqual(list(input_ids[1]						)    ,predicted_ids[1]						)
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_image_processor()
						lowerCAmelCase__		  =  self.get_tokenizer()

						lowerCAmelCase__		  =  OwlViTProcessor(tokenizer=a_    ,image_processor=a_						)

						lowerCAmelCase__		  =  self.prepare_image_inputs()
						lowerCAmelCase__		  =  self.prepare_image_inputs()

						lowerCAmelCase__		  =  processor(images=a_    ,query_images=a_						)

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

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



		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  self.get_image_processor()
						lowerCAmelCase__		  =  self.get_tokenizer()

						lowerCAmelCase__		  =  OwlViTProcessor(tokenizer=a_    ,image_processor=a_						)

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

						lowerCAmelCase__		  =  processor.batch_decode(a_						)
						lowerCAmelCase__		  =  tokenizer.batch_decode(a_						)

						self.assertListEqual(a_    ,a_						)





from bisect import bisect
from itertools import accumulate







def     UpperCAmelCase_		(					snake_case__    ,			snake_case__    ,			snake_case__    ,			snake_case__					)	->     Optional[int]:



				"""simple docstring"""





				lowerCAmelCase__		  =  sorted(zip(snake_case__    ,			snake_case__					)    ,			key=lambda snake_case__					: x[0] / x[1]    ,			reverse=snake_case__					)
				lowerCAmelCase__  ,   lowerCAmelCase__		  =  [i[0] for i in r], [i[1] for i in r]
				lowerCAmelCase__		  =  list(accumulate(snake_case__					)					)
				lowerCAmelCase__		  =  bisect(snake_case__    ,			snake_case__					)
				return (
				    0
				    if k == 0
				    else sum(vl[:k]					) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
				    if k != n
				    else sum(vl[:k]					)
				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
