'''simple docstring'''




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 				a__(					unittest.TestCase	):


			'''simple docstring'''






			def 							a_       (   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(__lowerCAmelCase       ,    range(len(__lowerCAmelCase))))
					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(__lowerCAmelCase) + """\n""")
					with open(self.merges_file       ,    """w"""       ,    encoding="""utf-8""") as fp:
							fp.write("""\n""".join(__lowerCAmelCase))

					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       ,    __lowerCAmelCase)
					with open(self.image_processor_file       ,    """w"""       ,    encoding="""utf-8""") as fp:
							json.dump(__lowerCAmelCase       ,    __lowerCAmelCase)



			def 							a_       (   self       ,    **__lowerCAmelCase):




					"""simple docstring"""


					return CLIPTokenizer.from_pretrained(self.tmpdirname       ,    pad_token="""!"""       ,    **__lowerCAmelCase)



			def 							a_       (   self       ,    **__lowerCAmelCase):




					"""simple docstring"""


					return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,    pad_token="""!"""       ,    **__lowerCAmelCase)



			def 							a_       (   self       ,    **__lowerCAmelCase):




					"""simple docstring"""


					return OwlViTImageProcessor.from_pretrained(self.tmpdirname       ,    **__lowerCAmelCase)



			def 							a_       (   self):




					"""simple docstring"""


					shutil.rmtree(self.tmpdirname)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  [np.random.randint(255       ,    size=(3, 30, 400)       ,    dtype=np.uinta)]

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

					return image_inputs



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_tokenizer()
					lowerCAmelCase   					=  self.get_rust_tokenizer()
					lowerCAmelCase   					=  self.get_image_processor()

					lowerCAmelCase   					=  OwlViTProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)
					processor_slow.save_pretrained(self.tmpdirname)
					lowerCAmelCase   					=  OwlViTProcessor.from_pretrained(self.tmpdirname       ,    use_fast=__lowerCAmelCase)

					lowerCAmelCase   					=  OwlViTProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)
					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       ,    __lowerCAmelCase)
					self.assertIsInstance(processor_fast.tokenizer       ,    __lowerCAmelCase)

					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       ,    __lowerCAmelCase)
					self.assertIsInstance(processor_fast.image_processor       ,    __lowerCAmelCase)



			def 							a_       (   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=__lowerCAmelCase)

					lowerCAmelCase   					=  OwlViTProcessor.from_pretrained(
					    self.tmpdirname       ,    bos_token="""(BOS)"""       ,    eos_token="""(EOS)"""       ,    do_normalize=__lowerCAmelCase)

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

					self.assertEqual(processor.image_processor.to_json_string()       ,    image_processor_add_kwargs.to_json_string())
					self.assertIsInstance(processor.image_processor       ,    __lowerCAmelCase)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  OwlViTProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  self.prepare_image_inputs()

					lowerCAmelCase   					=  image_processor(__lowerCAmelCase       ,    return_tensors="""np""")
					lowerCAmelCase   					=  processor(images=__lowerCAmelCase       ,    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 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  OwlViTProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  """lower newer"""

					lowerCAmelCase   					=  processor(text=__lowerCAmelCase       ,    return_tensors="""np""")

					lowerCAmelCase   					=  tokenizer(__lowerCAmelCase       ,    return_tensors="""np""")

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



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  OwlViTProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

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

					lowerCAmelCase   					=  processor(text=__lowerCAmelCase       ,    images=__lowerCAmelCase)

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

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



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  """google/owlvit-base-patch32"""
					lowerCAmelCase   					=  OwlViTProcessor.from_pretrained(__lowerCAmelCase)

					lowerCAmelCase   					=  ["""cat""", """nasa badge"""]
					lowerCAmelCase   					=  processor(text=__lowerCAmelCase)

					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(__lowerCAmelCase):
							processor()



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  """google/owlvit-base-patch32"""
					lowerCAmelCase   					=  OwlViTProcessor.from_pretrained(__lowerCAmelCase)

					lowerCAmelCase   					=  [["""cat""", """nasa badge"""], ["""person"""]]
					lowerCAmelCase   					=  processor(text=__lowerCAmelCase)

					lowerCAmelCase   					=  16
					lowerCAmelCase   					=  len(__lowerCAmelCase)
					lowerCAmelCase   					=  max([len(__lowerCAmelCase) 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(__lowerCAmelCase):
							processor()



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  """google/owlvit-base-patch32"""
					lowerCAmelCase   					=  OwlViTProcessor.from_pretrained(__lowerCAmelCase)

					lowerCAmelCase   					=  ["""cat""", """nasa badge"""]
					lowerCAmelCase   					=  processor(text=__lowerCAmelCase)

					lowerCAmelCase   					=  16
					lowerCAmelCase   					=  inputs["""input_ids"""]
					lowerCAmelCase   					=  [
					    [49406, 2368, 49407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
					    [49406, 6841, 11301, 49407, 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 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  OwlViTProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  self.prepare_image_inputs()
					lowerCAmelCase   					=  self.prepare_image_inputs()

					lowerCAmelCase   					=  processor(images=__lowerCAmelCase       ,    query_images=__lowerCAmelCase)

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

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







			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  OwlViTProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

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

					lowerCAmelCase   					=  processor.batch_decode(__lowerCAmelCase)
					lowerCAmelCase   					=  tokenizer.batch_decode(__lowerCAmelCase)

					self.assertListEqual(__lowerCAmelCase       ,    __lowerCAmelCase)








'''simple docstring'''






from __future__ import annotations

from typing import Any






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    pass







class    __snake_case       :







    """simple docstring"""



    def __init__(   self    :  Union[str, Any]    ,						lowerCamelCase    :  Any		)   ->  None:
      lowerCAmelCase_			:      Any			=   data
      lowerCAmelCase_			:      Node | None			=   None

    def __iter__(   self    :  Union[str, Any]		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Union[str, Any]			=   self
      lowerCAmelCase_			:      Any			=   []
      while node:
        if node in visited:
          raise ContainsLoopError
        visited.append(lowerCamelCase		)
        yield node.data
        lowerCAmelCase_			:      int			=   node.next_node





    @property
    def __lowercase   (   self    :  str		)   ->  bool:
      try:
        list(self		)
        return False
      except ContainsLoopError:
        return True


if __name__ == "__main__":
  __A					:  Dict											=      Node(1)
  __A					:  Optional[Any]											=      Node(2)
  __A					:  int											=      Node(3)
  __A					:  Optional[Any]											=      Node(4)
  print(root_node.has_loop)  # False
  __A					:  Any											=      root_node.next_node
  print(root_node.has_loop)  # True

  __A					:  List[Any]											=      Node(5)
  __A					:  Dict											=      Node(6)
  __A					:  str											=      Node(5)
  __A					:  Dict											=      Node(6)
  print(root_node.has_loop)  # False

  __A					:  Optional[int]											=      Node(1)
  print(root_node.has_loop)  # False



