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 CLIPSegProcessor, ViTImageProcessor





@require_vision
class 					A							(    unittest.TestCase					):


   def       lowercase_				(self					:						Optional[Any]		)						->    Any:
         """simple docstring"""



         UpperCAmelCase__								=  tempfile.mkdtemp()

         # fmt: off
         UpperCAmelCase__								=  ["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
         UpperCAmelCase__								=  dict(zip(__UpperCAmelCase	,  range(len(__UpperCAmelCase		)		)		)		)
         UpperCAmelCase__								=  ["#version: 0.2", "l o", "lo w</w>", "e r</w>", ""]
         UpperCAmelCase__								=  {"unk_token": "<unk>"}

         UpperCAmelCase__								=  os.path.join(self.tmpdirname	,  VOCAB_FILES_NAMES["vocab_file"]		)
         UpperCAmelCase__								=  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(__UpperCAmelCase		) + "\n"		)
         with open(self.merges_file	,  "w"	,  encoding="utf-8"		) as fp:
               fp.write("\n".join(__UpperCAmelCase		)		)

         UpperCAmelCase__								=  {
             "do_resize": True,
             "size": 2_0,
             "do_center_crop": True,
             "crop_size": 1_8,
             "do_normalize": True,
             "image_mean": [0.48145466, 0.4578275, 0.40821073],
             "image_std": [0.26862954, 0.26130258, 0.27577711],
         }
         UpperCAmelCase__								=  os.path.join(self.tmpdirname	,  __UpperCAmelCase		)
         with open(self.image_processor_file	,  "w"	,  encoding="utf-8"		) as fp:
               json.dump(__UpperCAmelCase	,  __UpperCAmelCase		)


   def       lowercase_				(self					:						List[str]	,  **__UpperCAmelCase					:						List[str]		)						->    Tuple:
         """simple docstring"""



         return CLIPTokenizer.from_pretrained(self.tmpdirname	,  **__UpperCAmelCase		)


   def       lowercase_				(self					:						Dict	,  **__UpperCAmelCase					:						List[Any]		)						->    Optional[int]:
         """simple docstring"""



         return CLIPTokenizerFast.from_pretrained(self.tmpdirname	,  **__UpperCAmelCase		)


   def       lowercase_				(self					:						Optional[int]	,  **__UpperCAmelCase					:						Optional[int]		)						->    Any:
         """simple docstring"""



         return ViTImageProcessor.from_pretrained(self.tmpdirname	,  **__UpperCAmelCase		)


   def       lowercase_				(self					:						Dict		)						->    int:
         """simple docstring"""



         shutil.rmtree(self.tmpdirname		)


   def       lowercase_				(self					:						str		)						->    Tuple:
         """simple docstring"""



         UpperCAmelCase__								=  [np.random.randint(2_5_5	,  size=(3, 3_0, 4_0_0)	,  dtype=np.uinta		)]

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

         return image_inputs


   def       lowercase_				(self					:						List[Any]		)						->    Any:
         """simple docstring"""



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

         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=__UpperCAmelCase	,  image_processor=__UpperCAmelCase		)
         processor_slow.save_pretrained(self.tmpdirname		)
         UpperCAmelCase__								=  CLIPSegProcessor.from_pretrained(self.tmpdirname	,  use_fast=__UpperCAmelCase		)

         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=__UpperCAmelCase	,  image_processor=__UpperCAmelCase		)
         processor_fast.save_pretrained(self.tmpdirname		)
         UpperCAmelCase__								=  CLIPSegProcessor.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	,  __UpperCAmelCase		)
         self.assertIsInstance(processor_fast.tokenizer	,  __UpperCAmelCase		)

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


   def       lowercase_				(self					:						str		)						->    Any:
         """simple docstring"""



         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=self.get_tokenizer()	,  image_processor=self.get_image_processor()		)
         processor.save_pretrained(self.tmpdirname		)

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

         UpperCAmelCase__								=  CLIPSegProcessor.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       lowercase_				(self					:						Tuple		)						->    Tuple:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=__UpperCAmelCase	,  image_processor=__UpperCAmelCase		)

         UpperCAmelCase__								=  self.prepare_image_inputs()

         UpperCAmelCase__								=  image_processor(__UpperCAmelCase	,  return_tensors="np"		)
         UpperCAmelCase__								=  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       lowercase_				(self					:						Any		)						->    Union[str, Any]:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=__UpperCAmelCase	,  image_processor=__UpperCAmelCase		)

         UpperCAmelCase__								=  "lower newer"

         UpperCAmelCase__								=  processor(text=__UpperCAmelCase		)

         UpperCAmelCase__								=  tokenizer(__UpperCAmelCase		)

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


   def       lowercase_				(self					:						List[str]		)						->    Any:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=__UpperCAmelCase	,  image_processor=__UpperCAmelCase		)

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

         UpperCAmelCase__								=  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       lowercase_				(self					:						str		)						->    Optional[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=__UpperCAmelCase	,  image_processor=__UpperCAmelCase		)

         UpperCAmelCase__								=  self.prepare_image_inputs()
         UpperCAmelCase__								=  self.prepare_image_inputs()

         UpperCAmelCase__								=  processor(images=__UpperCAmelCase	,  visual_prompt=__UpperCAmelCase		)

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

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





   def       lowercase_				(self					:						str		)						->    str:
         """simple docstring"""



         UpperCAmelCase__								=  self.get_image_processor()
         UpperCAmelCase__								=  self.get_tokenizer()

         UpperCAmelCase__								=  CLIPSegProcessor(tokenizer=__UpperCAmelCase	,  image_processor=__UpperCAmelCase		)

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

         UpperCAmelCase__								=  processor.batch_decode(__UpperCAmelCase		)
         UpperCAmelCase__								=  tokenizer.batch_decode(__UpperCAmelCase		)

         self.assertListEqual(__UpperCAmelCase	,  __UpperCAmelCase		)




def        lowerCAmelCase_			(					__A							)					->    str:







      '''simple docstring'''


      return " ".join(input_str.split()[::-1]							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()



