
'''simple docstring'''


import hashlib
import unittest
from typing import Dict

import numpy as np

from transformers import (
    MODEL_FOR_MASK_GENERATION_MAPPING,
    TF_MODEL_FOR_MASK_GENERATION_MAPPING,
    is_vision_available,
    pipeline,
)
from transformers.pipelines import MaskGenerationPipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_vision,
    slow,
)


if is_vision_available():
   from PIL import Image
else:


   class 						lowercase__	:






      '''simple docstring'''







      @staticmethod
      def       UpperCAmelCase				(			*lowerCamelCase__ ,   **lowerCamelCase__   ):

         '''simple docstring'''







         pass



def  __snake_case     (    _UpperCAmelCase					:       Image):
   UpperCamelCase       =  hashlib.mda(image.tobytes())
   return m.hexdigest()[:10]



def  __snake_case     (    _UpperCAmelCase					:       Image):
   UpperCamelCase       =  np.array(_UpperCAmelCase)
   UpperCamelCase       =  npimg.shape
   return {"hash": hashimage(_UpperCAmelCase), "shape": shape}


@is_pipeline_test
@require_vision
@require_torch
class 						lowercase__	(  unittest.TestCase   ):






   '''simple docstring'''







   _snake_case		   =							dict(
       (list(MODEL_FOR_MASK_GENERATION_MAPPING.items()   ) if MODEL_FOR_MASK_GENERATION_MAPPING else [])   )
   _snake_case		   =							dict(
       (list(TF_MODEL_FOR_MASK_GENERATION_MAPPING.items()   ) if TF_MODEL_FOR_MASK_GENERATION_MAPPING else [])   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ ,   lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  MaskGenerationPipeline(model=lowerCamelCase__ ,   image_processor=lowerCamelCase__   )
      return image_segmenter, [
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
          "./tests/fixtures/tests_samples/COCO/000000039769.png",
      ]







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__   ):

      '''simple docstring'''







      pass







   @require_tf
   @unittest.skip('''Image segmentation not implemented in TF'''   )
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      pass







   @slow
   @require_torch
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  pipeline('''mask-generation''' ,   model='''facebook/sam-vit-huge'''   )

      UpperCamelCase       =  image_segmenter('''http://images.cocodataset.org/val2017/000000039769.jpg''' ,   points_per_batch=2_5_6   )

      # Shortening by hashing
      UpperCamelCase       =  []
      for i, o in enumerate(outputs['''masks''']   ):
         new_outupt += [{"mask": mask_to_test_readable(lowerCamelCase__   ), "scores": outputs["scores"][i]}]

      # fmt: off
      self.assertEqual(
          nested_simplify(lowerCamelCase__ ,   decimals=4   ) ,   [
              {'''mask''': {'''hash''': '''115ad19f5f''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0444},
              {'''mask''': {'''hash''': '''6affa964c6''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.021},
              {'''mask''': {'''hash''': '''dfe28a0388''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0167},
              {'''mask''': {'''hash''': '''c0a5f4a318''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0132},
              {'''mask''': {'''hash''': '''fe8065c197''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0053},
              {'''mask''': {'''hash''': '''e2d0b7a0b7''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9967},
              {'''mask''': {'''hash''': '''453c7844bd''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.993},
              {'''mask''': {'''hash''': '''3d44f2926d''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9909},
              {'''mask''': {'''hash''': '''64033ddc3f''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9879},
              {'''mask''': {'''hash''': '''801064ff79''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9834},
              {'''mask''': {'''hash''': '''6172f276ef''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9716},
              {'''mask''': {'''hash''': '''b49e60e084''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9612},
              {'''mask''': {'''hash''': '''a811e775fd''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9599},
              {'''mask''': {'''hash''': '''a6a8ebcf4b''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9552},
              {'''mask''': {'''hash''': '''9d8257e080''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9532},
              {'''mask''': {'''hash''': '''32de6454a8''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9516},
              {'''mask''': {'''hash''': '''af3d4af2c8''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9499},
              {'''mask''': {'''hash''': '''3c6db475fb''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9483},
              {'''mask''': {'''hash''': '''c290813fb9''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9464},
              {'''mask''': {'''hash''': '''b6f0b8f606''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.943},
              {'''mask''': {'''hash''': '''92ce16bfdf''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.943},
              {'''mask''': {'''hash''': '''c749b25868''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9408},
              {'''mask''': {'''hash''': '''efb6cab859''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9335},
              {'''mask''': {'''hash''': '''1ff2eafb30''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9326},
              {'''mask''': {'''hash''': '''788b798e24''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.9262},
              {'''mask''': {'''hash''': '''abea804f0e''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.8999},
              {'''mask''': {'''hash''': '''7b9e8ddb73''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.8986},
              {'''mask''': {'''hash''': '''cd24047c8a''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.8984},
              {'''mask''': {'''hash''': '''6943e6bcbd''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.8873},
              {'''mask''': {'''hash''': '''b5f47c9191''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 0.8871}
          ] ,   )
      # fmt: on







   @require_torch
   @slow
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  '''facebook/sam-vit-huge'''
      UpperCamelCase       =  pipeline('''mask-generation''' ,   model=lowerCamelCase__   )

      UpperCamelCase       =  image_segmenter(
          '''http://images.cocodataset.org/val2017/000000039769.jpg''' ,   pred_iou_thresh=1 ,   points_per_batch=2_5_6   )

      # Shortening by hashing
      UpperCamelCase       =  []
      for i, o in enumerate(outputs['''masks''']   ):
         new_outupt += [{"mask": mask_to_test_readable(lowerCamelCase__   ), "scores": outputs["scores"][i]}]

      self.assertEqual(
          nested_simplify(lowerCamelCase__ ,   decimals=4   ) ,   [
              {'''mask''': {'''hash''': '''115ad19f5f''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0444},
              {'''mask''': {'''hash''': '''6affa964c6''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0210},
              {'''mask''': {'''hash''': '''dfe28a0388''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0167},
              {'''mask''': {'''hash''': '''c0a5f4a318''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0132},
              {'''mask''': {'''hash''': '''fe8065c197''', '''shape''': (4_8_0, 6_4_0)}, '''scores''': 1.0053},
          ] ,   )







'''simple docstring'''


def  __snake_case     (    _UpperCAmelCase					:       Optional[int]):
   UpperCamelCase       =  []
   UpperCamelCase       =  []
   UpperCamelCase       =  {
       '''^''': 3,
       '''*''': 2,
       '''/''': 2,
       '''%''': 2,
       '''+''': 1,
       '''-''': 1,
   }  # Priority of each operator
   UpperCamelCase       =  len(_UpperCAmelCase) if (len(_UpperCAmelCase) > 7) else 7

   # Print table header for output
   print(
       '''Symbol'''.center(8),      '''Stack'''.center(_UpperCAmelCase),      '''Postfix'''.center(_UpperCAmelCase),      sep=''' | ''',      )
   print('''-''' * (print_width * 3 + 7))

   for x in infix:
      if x.isalpha() or x.isdigit():
         post_fix.append(_UpperCAmelCase)  # if x is Alphabet / Digit, add it to Postfix
      elif x == "(":
         stack.append(_UpperCAmelCase)  # if x is "(" push to Stack
      elif x == ")":  # if x is ")" pop stack until "(" is encountered
         while stack[-1] != "(":
            post_fix.append(stack.pop())  # Pop stack & add the content to Postfix
         stack.pop()
      else:
         if len(_UpperCAmelCase) == 0:
            stack.append(_UpperCAmelCase)  # If stack is empty, push x to stack
         else:  # while priority of x is not > priority of element in the stack
            while len(_UpperCAmelCase) > 0 and priority[x] <= priority[stack[-1]]:
               post_fix.append(stack.pop())  # pop stack & add to Postfix
            stack.append(_UpperCAmelCase)  # push x to stack

      print(
          x.center(8),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      sep=''' | ''',      )  # Output in tabular format

   while len(_UpperCAmelCase) > 0:  # while stack is not empty
      post_fix.append(stack.pop())  # pop stack & add to Postfix
      print(
          ''' '''.center(8),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      sep=''' | ''',      )  # Output in tabular format

   return "".join(_UpperCAmelCase)  # return Postfix as str



def  __snake_case     (    _UpperCAmelCase					:       str):
   UpperCamelCase       =  list(infix[::-1])  # reverse the infix equation

   for i in range(len(_UpperCAmelCase)):
      if infix[i] == "(":
         UpperCamelCase       =  ''')'''  # change "(" to ")"
      elif infix[i] == ")":
         UpperCamelCase       =  '''('''  # change ")" to "("

   return (infix_2_postfix(''''''.join(_UpperCAmelCase)))[
       ::-1
   ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
   snake_case_ :  str     =					input('\nEnter an Infix Equation = ')  # Input an Infix equation
   snake_case_ :  Union[str, Any]     =					''.join(Infix.split())  # Remove spaces from the input
   print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')





