




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     lowerCamelCase__(					unittest.TestCase):
      def 			lowerCAmelCase__						(				self: Tuple   ):
             __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(UpperCamelCase_    ,       range(len(UpperCamelCase_   )   )   )   )
             __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(UpperCamelCase_   ) + """\n"""   )
             with open(self.merges_file    ,       """w"""    ,       encoding="""utf-8"""   ) as fp:
                    fp.write("""\n""".join(UpperCamelCase_   )   )

             __lowerCamelCase   =						{
                 """do_resize""": True,
                 """size""": 20,
                 """do_center_crop""": True,
                 """crop_size""": 18,
                 """do_normalize""": True,
                 """image_mean""": [0.4814_5466, 0.457_8275, 0.4082_1073],
                 """image_std""": [0.2686_2954, 0.2613_0258, 0.2757_7711],
             }
             __lowerCamelCase   =						os.path.join(self.tmpdirname    ,       UpperCamelCase_   )
             with open(self.image_processor_file    ,       """w"""    ,       encoding="""utf-8"""   ) as fp:
                    json.dump(UpperCamelCase_    ,       UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: List[str]    ,       **UpperCamelCase_: str   ):
             return CLIPTokenizer.from_pretrained(self.tmpdirname    ,       pad_token="""!"""    ,       **UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: Optional[Any]    ,       **UpperCamelCase_: str   ):
             return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,       pad_token="""!"""    ,       **UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: Union[str, Any]    ,       **UpperCamelCase_: List[str]   ):
             return OwlViTImageProcessor.from_pretrained(self.tmpdirname    ,       **UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: int   ):
             shutil.rmtree(self.tmpdirname   )
      def 			lowerCAmelCase__						(				self: int   ):
             __lowerCamelCase   =						[np.random.randint(2_55    ,       size=(3, 30, 4_00)    ,       dtype=np.uinta   )]

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

             return image_inputs
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						self.get_tokenizer()
             __lowerCamelCase   =						self.get_rust_tokenizer()
             __lowerCamelCase   =						self.get_image_processor()

             __lowerCamelCase   =						OwlViTProcessor(tokenizer=UpperCamelCase_    ,       image_processor=UpperCamelCase_   )
             processor_slow.save_pretrained(self.tmpdirname   )
             __lowerCamelCase   =						OwlViTProcessor.from_pretrained(self.tmpdirname    ,       use_fast=UpperCamelCase_   )

             __lowerCamelCase   =						OwlViTProcessor(tokenizer=UpperCamelCase_    ,       image_processor=UpperCamelCase_   )
             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    ,       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 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             __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=UpperCamelCase_   )

             __lowerCamelCase   =						OwlViTProcessor.from_pretrained(
                 self.tmpdirname    ,       bos_token="""(BOS)"""    ,       eos_token="""(EOS)"""    ,       do_normalize=UpperCamelCase_   )

             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 			lowerCAmelCase__						(				self: Optional[int]   ):
             __lowerCamelCase   =						self.get_image_processor()
             __lowerCamelCase   =						self.get_tokenizer()

             __lowerCamelCase   =						OwlViTProcessor(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_image_proc.keys():
                    self.assertAlmostEqual(input_image_proc[key].sum()    ,       input_processor[key].sum()    ,       delta=1E-2   )
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						self.get_image_processor()
             __lowerCamelCase   =						self.get_tokenizer()

             __lowerCamelCase   =						OwlViTProcessor(tokenizer=UpperCamelCase_    ,       image_processor=UpperCamelCase_   )

             __lowerCamelCase   =						"""lower newer"""

             __lowerCamelCase   =						processor(text=UpperCamelCase_    ,       return_tensors="""np"""   )

             __lowerCamelCase   =						tokenizer(UpperCamelCase_    ,       return_tensors="""np"""   )

             for key in encoded_tok.keys():
                    self.assertListEqual(encoded_tok[key][0].tolist()    ,       encoded_processor[key][0].tolist()   )
      def 			lowerCAmelCase__						(				self: Tuple   ):
             __lowerCamelCase   =						self.get_image_processor()
             __lowerCamelCase   =						self.get_tokenizer()

             __lowerCamelCase   =						OwlViTProcessor(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 			lowerCAmelCase__						(				self: Optional[Any]   ):
             __lowerCamelCase   =						"""google/owlvit-base-patch32"""
             __lowerCamelCase   =						OwlViTProcessor.from_pretrained(UpperCamelCase_   )

             __lowerCamelCase   =						["""cat""", """nasa badge"""]
             __lowerCamelCase   =						processor(text=UpperCamelCase_   )

             __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(UpperCamelCase_   ):
                    processor()
      def 			lowerCAmelCase__						(				self: Any   ):
             __lowerCamelCase   =						"""google/owlvit-base-patch32"""
             __lowerCamelCase   =						OwlViTProcessor.from_pretrained(UpperCamelCase_   )

             __lowerCamelCase   =						[["""cat""", """nasa badge"""], ["""person"""]]
             __lowerCamelCase   =						processor(text=UpperCamelCase_   )

             __lowerCamelCase   =						16
             __lowerCamelCase   =						len(UpperCamelCase_   )
             __lowerCamelCase   =						max([len(UpperCamelCase_   ) 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(UpperCamelCase_   ):
                    processor()
      def 			lowerCAmelCase__						(				self: Optional[int]   ):
             __lowerCamelCase   =						"""google/owlvit-base-patch32"""
             __lowerCamelCase   =						OwlViTProcessor.from_pretrained(UpperCamelCase_   )

             __lowerCamelCase   =						["""cat""", """nasa badge"""]
             __lowerCamelCase   =						processor(text=UpperCamelCase_   )

             __lowerCamelCase   =						16
             __lowerCamelCase   =						inputs["""input_ids"""]
             __lowerCamelCase   =						[
                 [4_94_06, 23_68, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                 [4_94_06, 68_41, 1_13_01, 4_94_07, 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 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             __lowerCamelCase   =						self.get_image_processor()
             __lowerCamelCase   =						self.get_tokenizer()

             __lowerCamelCase   =						OwlViTProcessor(tokenizer=UpperCamelCase_    ,       image_processor=UpperCamelCase_   )

             __lowerCamelCase   =						self.prepare_image_inputs()
             __lowerCamelCase   =						self.prepare_image_inputs()

             __lowerCamelCase   =						processor(images=UpperCamelCase_    ,       query_images=UpperCamelCase_   )

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

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




      def 			lowerCAmelCase__						(				self: str   ):
             __lowerCamelCase   =						self.get_image_processor()
             __lowerCamelCase   =						self.get_tokenizer()

             __lowerCamelCase   =						OwlViTProcessor(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_   )







from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass





@dataclass
class     lowerCamelCase__:
      UpperCAmelCase__      :	int
      UpperCAmelCase__      :	TreeNode | None    		=   None
      UpperCAmelCase__      :	TreeNode | None    		=   None



UpperCAmelCase_									=	namedtuple('CoinsDistribResult', 'moves excess')




def 					lowerCamelCase__       (						A__       :					TreeNode | None	):





       '''simple docstring'''



       if root is None:
              return 0

       # Validation
       def count_nodes(A__       :					TreeNode | None	) -> int:
              if node is None:
                     return 0

              return count_nodes(node.left	) + count_nodes(node.right	) + 1

       def count_coins(A__       :					TreeNode | None	) -> int:
              if node is None:
                     return 0

              return count_coins(node.left	) + count_coins(node.right	) + node.data

       if count_nodes(A__	) != count_coins(A__	):
              raise ValueError("""The nodes number should be same as the number of coins"""	)

       # Main calculation
       def get_distrib(A__       :					TreeNode | None	) -> CoinsDistribResult:

              if node is None:
                     return CoinsDistribResult(0  ,			1	)

              __lowerCamelCase,   __lowerCamelCase   =						get_distrib(node.left	)
              __lowerCamelCase,   __lowerCamelCase   =						get_distrib(node.right	)

              __lowerCamelCase   =						1 - left_distrib_excess
              __lowerCamelCase   =						1 - right_distrib_excess

              __lowerCamelCase   =						(
                  left_distrib_moves
                  + right_distrib_moves
                  + abs(A__	)
                  + abs(A__	)
              )
              __lowerCamelCase   =						node.data - coins_to_left - coins_to_right

              return CoinsDistribResult(A__  ,			A__	)

       return get_distrib(A__	)[0]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

