


class      UpperCAmelCase_ :

   '''simple docstring'''




   def __init__(		self						,    __A			):






     """simple docstring"""





     lowerCamelCase			: str   =    val
     # Number of nodes in left subtree
     lowerCamelCase			: int   =    0
     lowerCamelCase			: Optional[int]   =    None
     lowerCamelCase			: Any   =    None
     lowerCamelCase			: int   =    None






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

     if self.val < other.val:
       lowerCamelCase			: Optional[Any]   =    self.right
       lowerCamelCase			: str   =    None
       if self.right:
         lowerCamelCase			: List[str]   =    other
       lowerCamelCase			: Tuple   =    other
       lowerCamelCase			: Tuple   =    self.left_tree_size * 2 + 1
       return self
     else:
       lowerCamelCase			: Optional[int]   =    other.right
       lowerCamelCase			: Tuple   =    None
       if other.right:
         lowerCamelCase			: str   =    self
       lowerCamelCase			: List[str]   =    self
       lowerCamelCase			: Optional[int]   =    other.left_tree_size * 2 + 1
       return other



class      UpperCAmelCase_ :

   '''simple docstring'''




   def __init__(		self						,    __A=None						,    __A=None						,    __A=0			):






     """simple docstring"""





     lowerCamelCase			: Optional[int]   =    heap_size
     lowerCamelCase			: Optional[Any]   =    bottom_root
     lowerCamelCase			: Optional[Any]   =    min_node






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     if other.size == 0:
       return None
     if self.size == 0:
       lowerCamelCase			: str   =    other.size
       lowerCamelCase			: Optional[Any]   =    other.bottom_root
       lowerCamelCase			: Dict   =    other.min_node
       return None
     # Update size
     lowerCamelCase			: Dict   =    self.size + other.size

     # Update min.node
     if self.min_node.val > other.min_node.val:
       lowerCamelCase			: str   =    other.min_node
     # Merge

     # Order roots by left_subtree_size
     lowerCamelCase			: List[Any]   =    []
     lowerCamelCase   ,     lowerCamelCase			: Dict   =    self.bottom_root, other.bottom_root
     while i or j:
       if i and ((not j) or i.left_tree_size < j.left_tree_size):
         combined_roots_list.append((i, True)			)
         lowerCamelCase			: Union[str, Any]   =    i.parent
       else:
         combined_roots_list.append((j, False)			)
         lowerCamelCase			: Optional[int]   =    j.parent
        # Insert links between them
     for i in range(len(lowercase_			) - 1			):
       if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
         lowerCamelCase			: int   =    combined_roots_list[i + 1][0]
         lowerCamelCase			: Any   =    combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
     lowerCamelCase			: Optional[int]   =    combined_roots_list[0][0]
     while i.parent:
       if (
           (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
       ) or (
           i.left_tree_size == i.parent.left_tree_size
           and i.left_tree_size != i.parent.parent.left_tree_size
       ):
         # Neighbouring Nodes
         lowerCamelCase			: int   =    i.left
         lowerCamelCase			: Dict   =    i.parent.parent

         # Merging trees
         lowerCamelCase			: str   =    i.merge_trees(i.parent			)

         # Updating links
         lowerCamelCase			: Optional[int]   =    previous_node
         lowerCamelCase			: Optional[int]   =    next_node
         if previous_node:
           lowerCamelCase			: Tuple   =    i
         if next_node:
           lowerCamelCase			: Optional[Any]   =    i
       else:
         lowerCamelCase			: Union[str, Any]   =    i.parent
        # Updating self.bottom_root
     while i.left:
       lowerCamelCase			: Union[str, Any]   =    i.left
     lowerCamelCase			: Any   =    i

     # Update other
     lowerCamelCase			: Optional[int]   =    self.size
     lowerCamelCase			: Any   =    self.bottom_root
     lowerCamelCase			: List[str]   =    self.min_node

     # Return the merged heap
     return self






   def _snake_case   (		self						,    __A			):






     """simple docstring"""





     if self.size == 0:
       lowerCamelCase			: List[str]   =    Node(lowercase_			)
       lowerCamelCase			: List[str]   =    1
       lowerCamelCase			: str   =    self.bottom_root
     else:
       # Create new node
       lowerCamelCase			: List[Any]   =    Node(lowercase_			)

       # Update size
       self.size += 1

       # update min_node
       if val < self.min_node.val:
         lowerCamelCase			: str   =    new_node
       # Put new_node as a bottom_root in heap
       lowerCamelCase			: Optional[Any]   =    new_node
       lowerCamelCase			: Optional[Any]   =    self.bottom_root
       lowerCamelCase			: int   =    new_node

       # Consecutively merge roots with same left_tree_size
       while (
           self.bottom_root.parent
           and self.bottom_root.left_tree_size
           == self.bottom_root.parent.left_tree_size
       ):
         # Next node
         lowerCamelCase			: List[Any]   =    self.bottom_root.parent.parent

         # Merge
         lowerCamelCase			: Dict   =    self.bottom_root.merge_trees(self.bottom_root.parent			)

         # Update Links
         lowerCamelCase			: Optional[Any]   =    next_node
         lowerCamelCase			: Tuple   =    None
         if next_node:
           lowerCamelCase			: Tuple   =    self.bottom_root






   def _snake_case   (		self			):






     """simple docstring"""





     return self.min_node.val






   def _snake_case   (		self			):






     """simple docstring"""





     return self.size == 0






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: List[str]   =    self.min_node.val

     # Last element in heap corner case
     if self.size == 1:
       # Update size
       lowerCamelCase			: str   =    0

       # Update bottom root
       lowerCamelCase			: Tuple   =    None

       # Update min_node
       lowerCamelCase			: Optional[Any]   =    None

       return min_value
     # No right subtree corner case
     # The structure of the tree implies that this should be the bottom root
     # and there is at least one other root
     if self.min_node.right is None:
       # Update size
       self.size -= 1

       # Update bottom root
       lowerCamelCase			: Dict   =    self.bottom_root.parent
       lowerCamelCase			: int   =    None

       # Update min_node
       lowerCamelCase			: Tuple   =    self.bottom_root
       lowerCamelCase			: Any   =    self.bottom_root.parent
       while i:
         if i.val < self.min_node.val:
           lowerCamelCase			: List[Any]   =    i
         lowerCamelCase			: str   =    i.parent
       return min_value
     # General case
     # Find the BinomialHeap of the right subtree of min_node
     lowerCamelCase			: Optional[int]   =    self.min_node.right
     lowerCamelCase			: Dict   =    None
     lowerCamelCase			: Any   =    bottom_of_new
     lowerCamelCase			: List[Any]   =    1

     # Size, min_node and bottom_root
     while bottom_of_new.left:
       lowerCamelCase			: Dict   =    size_of_new * 2 + 1
       lowerCamelCase			: Any   =    bottom_of_new.left
       if bottom_of_new.val < min_of_new.val:
         lowerCamelCase			: Tuple   =    bottom_of_new
        # Corner case of single root on top left path
     if (not self.min_node.left) and (not self.min_node.parent):
       lowerCamelCase			: List[Any]   =    size_of_new
       lowerCamelCase			: Tuple   =    bottom_of_new
       lowerCamelCase			: Dict   =    min_of_new
       # print("Single root, multiple nodes case")
       return min_value
     # Remaining cases
     # Construct heap of right subtree
     lowerCamelCase			: int   =    BinomialHeap(
         bottom_root=lowercase_						,    min_node=lowercase_						,    heap_size=lowercase_			)

     # Update size
     lowerCamelCase			: Tuple   =    self.size - 1 - size_of_new

     # Neighbour nodes
     lowerCamelCase			: int   =    self.min_node.left
     lowerCamelCase			: List[str]   =    self.min_node.parent

     # Initialize new bottom_root and min_node
     lowerCamelCase			: str   =    previous_node or next_node
     lowerCamelCase			: Any   =    next_node

     # Update links of previous_node and search below for new min_node and
     # bottom_root
     if previous_node:
       lowerCamelCase			: str   =    next_node

       # Update bottom_root and search for min_node below
       lowerCamelCase			: Optional[int]   =    previous_node
       lowerCamelCase			: int   =    previous_node
       while self.bottom_root.left:
         lowerCamelCase			: Tuple   =    self.bottom_root.left
         if self.bottom_root.val < self.min_node.val:
           lowerCamelCase			: Any   =    self.bottom_root
     if next_node:
       lowerCamelCase			: Union[str, Any]   =    previous_node

       # Search for new min_node above min_node
       lowerCamelCase			: Optional[int]   =    next_node
       while i:
         if i.val < self.min_node.val:
           lowerCamelCase			: Any   =    i
         lowerCamelCase			: Union[str, Any]   =    i.parent
        # Merge heaps
     self.merge_heaps(lowercase_			)

     return min_value






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Optional[int]   =    self.bottom_root
     while top_root.parent:
       lowerCamelCase			: Any   =    top_root.parent
     # preorder
     lowerCamelCase			: int   =    []
     self.__traversal(lowercase_						,    lowercase_			)
     return heap_pre_order






   def _snake_case   (		self						,    __A						,    __A						,    __A=0			):






     """simple docstring"""





     if curr_node:
       preorder.append((curr_node.val, level)			)
       self.__traversal(curr_node.left						,    lowercase_						,    level + 1			)
       self.__traversal(curr_node.right						,    lowercase_						,    level + 1			)
     else:
       preorder.append(("#", level)			)






   def __str__(		self			):






     """simple docstring"""





     if self.is_empty():
       return ""
     lowerCamelCase			: Dict   =    self.pre_order()

     return "\n".join(("-" * level + str(lowercase_			)) for value, level in preorder_heap			)


# Unit Tests
if __name__ == "__main__":
       import doctest

       doctest.testmod()







import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
   from PIL import Image

   from transformers import AutoProcessor, BertTokenizer, CLIPImageProcessor, GitProcessor, PreTrainedTokenizerFast
@require_vision
class      UpperCAmelCase_ ( unittest.TestCase   ):

   '''simple docstring'''




   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Tuple   =    tempfile.mkdtemp()

     lowerCamelCase			: List[Any]   =    CLIPImageProcessor()
     lowerCamelCase			: str   =    BertTokenizer.from_pretrained(
         "hf-internal-testing/tiny-random-BertModel"						,    model_input_names=["input_ids", "attention_mask"]			)

     lowerCamelCase			: List[str]   =    GitProcessor(__A						,    __A			)

     processor.save_pretrained(self.tmpdirname			)






   def _snake_case   (		self						,    **__A			):






     """simple docstring"""





     return AutoProcessor.from_pretrained(self.tmpdirname						,    **__A			).tokenizer






   def _snake_case   (		self						,    **__A			):






     """simple docstring"""





     return AutoProcessor.from_pretrained(self.tmpdirname						,    **__A			).image_processor






   def _snake_case   (		self			):






     """simple docstring"""





     shutil.rmtree(self.tmpdirname			)






   def _snake_case   (		self			):






     """simple docstring"""





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

     lowerCamelCase			: Any   =    [Image.fromarray(np.moveaxis(__A						,    0						,    -1			)			) for x in image_inputs]

     return image_inputs






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Tuple   =    GitProcessor(tokenizer=self.get_tokenizer()						,    image_processor=self.get_image_processor()			)
     processor.save_pretrained(self.tmpdirname			)

     lowerCamelCase			: Optional[Any]   =    self.get_tokenizer(bos_token="(BOS)"						,    eos_token="(EOS)"			)
     lowerCamelCase			: List[str]   =    self.get_image_processor(do_normalize=__A						,    padding_value=1.0			)

     lowerCamelCase			: Dict   =    GitProcessor.from_pretrained(
         self.tmpdirname						,    bos_token="(BOS)"						,    eos_token="(EOS)"						,    do_normalize=__A						,    padding_value=1.0			)

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

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






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Any   =    self.get_image_processor()
     lowerCamelCase			: Optional[int]   =    self.get_tokenizer()

     lowerCamelCase			: Optional[Any]   =    GitProcessor(tokenizer=__A						,    image_processor=__A			)

     lowerCamelCase			: List[str]   =    self.prepare_image_inputs()

     lowerCamelCase			: str   =    image_processor(__A						,    return_tensors="np"			)
     lowerCamelCase			: Union[str, Any]   =    processor(images=__A						,    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 _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: int   =    self.get_image_processor()
     lowerCamelCase			: Dict   =    self.get_tokenizer()

     lowerCamelCase			: Optional[int]   =    GitProcessor(tokenizer=__A						,    image_processor=__A			)

     lowerCamelCase			: int   =    "lower newer"

     lowerCamelCase			: str   =    processor(text=__A			)

     lowerCamelCase			: Union[str, Any]   =    tokenizer(__A						,    return_token_type_ids=__A			)

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






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Dict   =    self.get_image_processor()
     lowerCamelCase			: Optional[int]   =    self.get_tokenizer()

     lowerCamelCase			: List[str]   =    GitProcessor(tokenizer=__A						,    image_processor=__A			)

     lowerCamelCase			: str   =    "lower newer"
     lowerCamelCase			: Tuple   =    self.prepare_image_inputs()

     lowerCamelCase			: str   =    processor(text=__A						,    images=__A			)

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

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






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: Union[str, Any]   =    self.get_image_processor()
     lowerCamelCase			: Tuple   =    self.get_tokenizer()

     lowerCamelCase			: Tuple   =    GitProcessor(tokenizer=__A						,    image_processor=__A			)

     lowerCamelCase			: Optional[Any]   =    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

     lowerCamelCase			: str   =    processor.batch_decode(__A			)
     lowerCamelCase			: int   =    tokenizer.batch_decode(__A			)

     self.assertListEqual(__A						,    __A			)






   def _snake_case   (		self			):






     """simple docstring"""





     lowerCamelCase			: List[Any]   =    self.get_image_processor()
     lowerCamelCase			: int   =    self.get_tokenizer()

     lowerCamelCase			: Optional[int]   =    GitProcessor(tokenizer=__A						,    image_processor=__A			)

     lowerCamelCase			: Optional[Any]   =    "lower newer"
     lowerCamelCase			: List[Any]   =    self.prepare_image_inputs()

     lowerCamelCase			: Optional[int]   =    processor(text=__A						,    images=__A			)

     # For now the processor supports only ['input_ids', 'attention_mask', 'pixel_values']
     self.assertListEqual(list(inputs.keys()			)						,    ["input_ids", "attention_mask", "pixel_values"]			)



