


from __future__ import annotations

from random import random
from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE							    =							TypeVar('KT')
SCREAMING_SNAKE_CASE							    =							TypeVar('VT')


class     __UpperCAmelCase							(       Generic[KT, VT]							):


     """simple docstring"""


     def __init__(	self  ,       __A = "root"  ,       __A = None    ):
        __a					=  key
        __a					=  value
        __a					=  []


     def __repr__(	self    ):
        return f'''Node({self.key}: {self.value})'''


     @property
     def 	snake_case_  (	self    ):
        return len(self.forward    )







class     __UpperCAmelCase							(       Generic[KT, VT]							):


     """simple docstring"""


     def __init__(	self  ,       __A = 0.5  ,       __A = 16    ):
        __a					=  Node[KT, VT]()
        __a					=  0
        __a					=  p
        __a					=  max_level


     def __str__(	self    ):
        __a					=  list(self    )

        if len(__A    ) == 0:
           return f'''SkipList(level={self.level})'''

        __a					=  max((len(str(__A    )    ) for item in items)  ,       default=4    )
        __a					=  max(__A  ,       4    ) + 4

        __a					=  self.head
        __a					=  []

        __a					=  node.forward.copy()
        lines.append(f'''[{node.key}]'''.ljust(__A  ,       """-"""    ) + """* """ * len(__A    )    )
        lines.append(""" """ * label_size + """| """ * len(__A    )    )

        while len(node.forward    ) != 0:
           __a					=  node.forward[0]

           lines.append(
               f'''[{node.key}]'''.ljust(__A  ,       """-"""    )
               + """ """.join(str(n.key    ) if n.key == node.key else """|""" for n in forwards    )    )
           lines.append(""" """ * label_size + """| """ * len(__A    )    )
           __a					=  node.forward

        lines.append("""None""".ljust(__A    ) + """* """ * len(__A    )    )
        return f'''SkipList(level={self.level})\n''' + "\n".join(__A    )


     def __iter__(	self    ):
        __a					=  self.head

        while len(node.forward    ) != 0:
           yield node.forward[0].key
           __a					=  node.forward[0]


     def 	snake_case_  (	self    ):
        __a					=  1
        while random() < self.p and level < self.max_level:
           level += 1

        return level


     def 	snake_case_  (	self  ,       __A    ):
        __a					=  []

        __a					=  self.head

        for i in reversed(range(self.level    )    ):
           # i < node.level - When node level is lesser than `i` decrement `i`.
           # node.forward[i].key < key - Jumping to node with key value higher
           #                             or equal to searched key would result
           #                             in skipping searched key.
           while i < node.level and node.forward[i].key < key:
              __a					=  node.forward[i]
           # Each leftmost node (relative to searched node) will potentially have to
           # be updated.
           update_vector.append(__A    )

        update_vector.reverse()  # Note that we were inserting values in reverse order.

        # len(node.forward) != 0 - If current node doesn't contain any further
        #                          references then searched key is not present.
        # node.forward[0].key == key - Next node key should be equal to search key
        #                              if key is present.
        if len(node.forward    ) != 0 and node.forward[0].key == key:
           return node.forward[0], update_vector
        else:
           return None, update_vector


     def 	snake_case_  (	self  ,       __A    ):
        __a	,    __a					=  self._locate_node(__A    )

        if node is not None:
           for i, update_node in enumerate(__A    ):
              # Remove or replace all references to removed node.
              if update_node.level > i and update_node.forward[i].key == key:
                 if node.level > i:
                    __a					=  node.forward[i]
                 else:
                    __a					=  update_node.forward[:i]


     def 	snake_case_  (	self  ,       __A  ,       __A    ):
        __a	,    __a					=  self._locate_node(__A    )
        if node is not None:
           __a					=  value
        else:
           __a					=  self.random_level()

           if level > self.level:
              # After level increase we have to add additional nodes to head.
              for _ in range(self.level - 1  ,       __A    ):
                 update_vector.append(self.head    )
              __a					=  level

           __a					=  Node(__A  ,       __A    )

           for i, update_node in enumerate(update_vector[:level]    ):
              # Change references to pass through new node.
              if update_node.level > i:
                 new_node.forward.append(update_node.forward[i]    )

              if update_node.level < i + 1:
                 update_node.forward.append(__A    )
              else:
                 __a					=  new_node


     def 	snake_case_  (	self  ,       __A    ):
        __a	,    __a					=  self._locate_node(__A    )

        if node is not None:
           return node.value

        return None







def  a   ():
   __a					=  SkipList()
   skip_list.insert("""Key1"""		,				3   )
   skip_list.insert("""Key2"""		,				12   )
   skip_list.insert("""Key3"""		,				41   )
   skip_list.insert("""Key4"""		,				-19   )

   __a					=  skip_list.head
   __a					=  {}
   while node.level != 0:
      __a					=  node.forward[0]
      __a					=  node.value

   assert len(lowerCAmelCase__   ) == 4
   assert all_values["Key1"] == 3
   assert all_values["Key2"] == 12
   assert all_values["Key3"] == 41
   assert all_values["Key4"] == -19




def  a   ():
   __a					=  SkipList()
   skip_list.insert("""Key1"""		,				10   )
   skip_list.insert("""Key1"""		,				12   )

   skip_list.insert("""Key5"""		,				7   )
   skip_list.insert("""Key7"""		,				10   )
   skip_list.insert("""Key10"""		,				5   )

   skip_list.insert("""Key7"""		,				7   )
   skip_list.insert("""Key5"""		,				5   )
   skip_list.insert("""Key10"""		,				10   )

   __a					=  skip_list.head
   __a					=  {}
   while node.level != 0:
      __a					=  node.forward[0]
      __a					=  node.value

   if len(lowerCAmelCase__   ) != 4:
      print()
   assert len(lowerCAmelCase__   ) == 4
   assert all_values["Key1"] == 12
   assert all_values["Key7"] == 7
   assert all_values["Key5"] == 5
   assert all_values["Key10"] == 10




def  a   ():
   __a					=  SkipList()
   assert skip_list.find("""Some key"""   ) is None




def  a   ():
   __a					=  SkipList()

   skip_list.insert("""Key2"""		,				20   )
   assert skip_list.find("""Key2"""   ) == 20

   skip_list.insert("""Some Key"""		,				10   )
   skip_list.insert("""Key2"""		,				8   )
   skip_list.insert("""V"""		,				13   )

   assert skip_list.find("""Y"""   ) is None
   assert skip_list.find("""Key2"""   ) == 8
   assert skip_list.find("""Some Key"""   ) == 10
   assert skip_list.find("""V"""   ) == 13




def  a   ():
   __a					=  SkipList()
   skip_list.delete("""Some key"""   )

   assert len(skip_list.head.forward   ) == 0




def  a   ():
   __a					=  SkipList()

   skip_list.insert("""Key1"""		,				12   )
   skip_list.insert("""V"""		,				13   )
   skip_list.insert("""X"""		,				14   )
   skip_list.insert("""Key2"""		,				15   )

   skip_list.delete("""V"""   )
   skip_list.delete("""Key2"""   )

   assert skip_list.find("""V"""   ) is None
   assert skip_list.find("""Key2"""   ) is None




def  a   ():
   __a					=  SkipList()

   skip_list.insert("""Key1"""		,				12   )
   skip_list.insert("""V"""		,				13   )
   skip_list.insert("""X"""		,				14   )
   skip_list.insert("""Key2"""		,				15   )

   skip_list.delete("""V"""   )
   assert skip_list.find("""V"""   ) is None
   assert skip_list.find("""X"""   ) == 14
   assert skip_list.find("""Key1"""   ) == 12
   assert skip_list.find("""Key2"""   ) == 15

   skip_list.delete("""X"""   )
   assert skip_list.find("""V"""   ) is None
   assert skip_list.find("""X"""   ) is None
   assert skip_list.find("""Key1"""   ) == 12
   assert skip_list.find("""Key2"""   ) == 15

   skip_list.delete("""Key1"""   )
   assert skip_list.find("""V"""   ) is None
   assert skip_list.find("""X"""   ) is None
   assert skip_list.find("""Key1"""   ) is None
   assert skip_list.find("""Key2"""   ) == 15

   skip_list.delete("""Key2"""   )
   assert skip_list.find("""V"""   ) is None
   assert skip_list.find("""X"""   ) is None
   assert skip_list.find("""Key1"""   ) is None
   assert skip_list.find("""Key2"""   ) is None




def  a   ():
   __a					=  SkipList()

   skip_list.insert("""Key1"""		,				12   )
   skip_list.insert("""V"""		,				13   )
   skip_list.insert("""X"""		,				142   )
   skip_list.insert("""Key2"""		,				15   )

   skip_list.delete("""X"""   )

   def traverse_keys(lowerCAmelCase__   ):
      yield node.key
      for forward_node in node.forward:
         yield from traverse_keys(lowerCAmelCase__   )

   assert len(set(traverse_keys(skip_list.head   )   )   ) == 4




def  a   ():
   def is_sorted(lowerCAmelCase__   ):
      return all(next_item >= item for item, next_item in zip(lowerCAmelCase__		,				lst[1:]   )   )

   __a					=  SkipList()
   for i in range(10   ):
      skip_list.insert(lowerCAmelCase__		,				lowerCAmelCase__   )
   assert is_sorted(list(lowerCAmelCase__   )   )
   skip_list.delete(5   )
   skip_list.delete(8   )
   skip_list.delete(2   )
   assert is_sorted(list(lowerCAmelCase__   )   )
   skip_list.insert(-12		,				-12   )
   skip_list.insert(77		,				77   )
   assert is_sorted(list(lowerCAmelCase__   )   )




def  a   ():
   for _ in range(100   ):
      # Repeat test 100 times due to the probabilistic nature of skip list
      # random values == random bugs
      test_insert()
      test_insert_overrides_existing_value()

      test_searching_empty_list_returns_none()
      test_search()

      test_deleting_item_from_empty_list_do_nothing()
      test_deleted_items_are_not_founded_by_find_method()
      test_delete_removes_only_given_key()
      test_delete_doesnt_leave_dead_nodes()

      test_iter_always_yields_sorted_values()




def  a   ():
   __a					=  SkipList()
   skip_list.insert(2		,				"""2"""   )
   skip_list.insert(4		,				"""4"""   )
   skip_list.insert(6		,				"""4"""   )
   skip_list.insert(4		,				"""5"""   )
   skip_list.insert(8		,				"""4"""   )
   skip_list.insert(9		,				"""4"""   )

   skip_list.delete(4   )

   print(lowerCAmelCase__   )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()







import json
import os
from collections import Counter

import torch
import torchvision
import torchvision.transforms as transforms
from PIL import Image
from torch import nn
from torch.utils.data import Dataset


SCREAMING_SNAKE_CASE							    =							{1: (1, 1), 2: (2, 1), 3: (3, 1), 4: (2, 2), 5: (5, 1), 6: (3, 2), 7: (7, 1), 8: (4, 2), 9: (3, 3)}


class     __UpperCAmelCase							(       nn.Module							):


     """simple docstring"""


     def __init__(	self  ,       __A    ):
        super().__init__()
        __a					=  torchvision.models.resnetaaa(pretrained=__A    )
        __a					=  list(model.children()    )[:-2]
        __a					=  nn.Sequential(*__A    )
        __a					=  nn.AdaptiveAvgPoolad(POOLING_BREAKDOWN[args.num_image_embeds]    )


     def 	snake_case_  (	self  ,       __A    ):
        # Bx3x224x224 -> Bx2048x7x7 -> Bx2048xN -> BxNx2048
        __a					=  self.pool(self.model(__A    )    )
        __a					=  torch.flatten(__A  ,       start_dim=2    )
        __a					=  out.transpose(1  ,       2    ).contiguous()
        return out  # BxNx2048







class     __UpperCAmelCase							(       __A							):


     """simple docstring"""


     def __init__(	self  ,       __A  ,       __A  ,       __A  ,       __A  ,       __A    ):
        __a					=  [json.loads(__A    ) for l in open(__A    )]
        __a					=  os.path.dirname(__A    )
        __a					=  tokenizer
        __a					=  labels
        __a					=  len(__A    )
        __a					=  max_seq_length

        __a					=  transforms


     def __len__(	self    ):
        return len(self.data    )


     def __getitem__(	self  ,       __A    ):
        __a					=  torch.LongTensor(self.tokenizer.encode(self.data[index]["""text"""]  ,       add_special_tokens=__A    )    )
        __a	,    __a	,    __a					=  sentence[0], sentence[1:-1], sentence[-1]
        __a					=  sentence[: self.max_seq_length]

        __a					=  torch.zeros(self.n_classes    )
        __a					=  1

        __a					=  Image.open(os.path.join(self.data_dir  ,       self.data[index]["""img"""]    )    ).convert("""RGB"""    )
        __a					=  self.transforms(__A    )

        return {
            "image_start_token": start_token,
            "image_end_token": end_token,
            "sentence": sentence,
            "image": image,
            "label": label,
        }


     def 	snake_case_  (	self    ):
        __a					=  Counter()
        for row in self.data:
           label_freqs.update(row["""label"""]    )
        return label_freqs







def  a   (lowerCAmelCase__   ):
   __a					=  [len(row["""sentence"""]   ) for row in batch]
   __a	,    __a					=  len(lowerCAmelCase__   ), max(lowerCAmelCase__   )

   __a					=  torch.zeros(lowerCAmelCase__		,				lowerCAmelCase__		,				dtype=torch.long   )
   __a					=  torch.zeros(lowerCAmelCase__		,				lowerCAmelCase__		,				dtype=torch.long   )

   for i_batch, (input_row, length) in enumerate(zip(lowerCAmelCase__		,				lowerCAmelCase__   )   ):
      __a					=  input_row["""sentence"""]
      __a					=  1

   __a					=  torch.stack([row["""image"""] for row in batch]   )
   __a					=  torch.stack([row["""label"""] for row in batch]   )
   __a					=  torch.stack([row["""image_start_token"""] for row in batch]   )
   __a					=  torch.stack([row["""image_end_token"""] for row in batch]   )

   return text_tensor, mask_tensor, img_tensor, img_start_token, img_end_token, tgt_tensor




def  a   ():
   return [
       "Crime",
       "Drama",
       "Thriller",
       "Action",
       "Comedy",
       "Romance",
       "Documentary",
       "Short",
       "Mystery",
       "History",
       "Family",
       "Adventure",
       "Fantasy",
       "Sci-Fi",
       "Western",
       "Horror",
       "Sport",
       "War",
       "Music",
       "Musical",
       "Animation",
       "Biography",
       "Film-Noir",
   ]




def  a   ():
   return transforms.Compose(
       [
           transforms.Resize(256   ),
           transforms.CenterCrop(224   ),
           transforms.ToTensor(),
           transforms.Normalize(
               mean=[0.4_6_7_7_7_0_4_4, 0.4_4_5_3_1_4_2_9, 0.4_0_6_6_1_0_1_7]		,				std=[0.1_2_2_2_1_9_9_4, 0.1_2_1_4_5_8_3_5, 0.1_4_3_8_0_4_6_9]		,				),
       ]   )



