




"""simple docstring"""



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      UpperCAmelCase_  (						unittest.TestCase							):




    def 							__magic_name__							(   self						:	List[str]				)				->							Any:




     '''simple docstring'''

     A__	=    tempfile.mkdtemp()

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

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

     A__	=    {
         "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],
     }
     A__	=    os.path.join(self.tmpdirname     ,			snake_case_				)
     with open(self.image_processor_file     ,			"w"     ,			encoding="utf-8"				) as fp:
      json.dump(snake_case_     ,			snake_case_				)




    def 							__magic_name__							(   self						:	Dict     ,			**snake_case_						:	Optional[Any]				)				->							List[str]:




     '''simple docstring'''

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




    def 							__magic_name__							(   self						:	str     ,			**snake_case_						:	Dict				)				->							str:




     '''simple docstring'''

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




    def 							__magic_name__							(   self						:	List[Any]     ,			**snake_case_						:	Optional[int]				)				->							Any:




     '''simple docstring'''

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




    def 							__magic_name__							(   self						:	List[Any]				)				->							Union[str, Any]:




     '''simple docstring'''

     shutil.rmtree(self.tmpdirname				)




    def 							__magic_name__							(   self						:	Optional[Any]				)				->							str:




     '''simple docstring'''

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

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

     return image_inputs




    def 							__magic_name__							(   self						:	List[Any]				)				->							Optional[int]:




     '''simple docstring'''

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

     A__	=    CLIPSegProcessor(tokenizer=snake_case_     ,			image_processor=snake_case_				)
     processor_slow.save_pretrained(self.tmpdirname				)
     A__	=    CLIPSegProcessor.from_pretrained(self.tmpdirname     ,			use_fast=snake_case_				)

     A__	=    CLIPSegProcessor(tokenizer=snake_case_     ,			image_processor=snake_case_				)
     processor_fast.save_pretrained(self.tmpdirname				)
     A__	=    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     ,			snake_case_				)
     self.assertIsInstance(processor_fast.tokenizer     ,			snake_case_				)

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




    def 							__magic_name__							(   self						:	int				)				->							List[str]:




     '''simple docstring'''

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

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

     A__	=    CLIPSegProcessor.from_pretrained(
         self.tmpdirname     ,			bos_token="(BOS)"     ,			eos_token="(EOS)"     ,			do_normalize=snake_case_     ,			padding_value=1.0				)

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

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




    def 							__magic_name__							(   self						:	Union[str, Any]				)				->							Optional[Any]:




     '''simple docstring'''

     A__	=    self.get_image_processor()
     A__	=    self.get_tokenizer()

     A__	=    CLIPSegProcessor(tokenizer=snake_case_     ,			image_processor=snake_case_				)

     A__	=    self.prepare_image_inputs()

     A__	=    image_processor(snake_case_     ,			return_tensors="np"				)
     A__	=    processor(images=snake_case_     ,			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 							__magic_name__							(   self						:	List[Any]				)				->							Optional[Any]:




     '''simple docstring'''

     A__	=    self.get_image_processor()
     A__	=    self.get_tokenizer()

     A__	=    CLIPSegProcessor(tokenizer=snake_case_     ,			image_processor=snake_case_				)

     A__	=    "lower newer"

     A__	=    processor(text=snake_case_				)

     A__	=    tokenizer(snake_case_				)

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




    def 							__magic_name__							(   self						:	Union[str, Any]				)				->							Dict:




     '''simple docstring'''

     A__	=    self.get_image_processor()
     A__	=    self.get_tokenizer()

     A__	=    CLIPSegProcessor(tokenizer=snake_case_     ,			image_processor=snake_case_				)

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

     A__	=    processor(text=snake_case_     ,			images=snake_case_				)

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

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




    def 							__magic_name__							(   self						:	Any				)				->							Optional[Any]:




     '''simple docstring'''

     A__	=    self.get_image_processor()
     A__	=    self.get_tokenizer()

     A__	=    CLIPSegProcessor(tokenizer=snake_case_     ,			image_processor=snake_case_				)

     A__	=    self.prepare_image_inputs()
     A__	=    self.prepare_image_inputs()

     A__	=    processor(images=snake_case_     ,			visual_prompt=snake_case_				)

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

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




    def 							__magic_name__							(   self						:	Optional[int]				)				->							Any:




     '''simple docstring'''

     A__	=    self.get_image_processor()
     A__	=    self.get_tokenizer()

     A__	=    CLIPSegProcessor(tokenizer=snake_case_     ,			image_processor=snake_case_				)

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

     A__	=    processor.batch_decode(snake_case_				)
     A__	=    tokenizer.batch_decode(snake_case_				)

     self.assertListEqual(snake_case_     ,			snake_case_				)











"""simple docstring"""



from typing import Any




class      UpperCAmelCase_  :




    def __init__(   self						:	Optional[Any]     ,			snake_case_						:	Any				)				->							List[str]:




     '''simple docstring'''

     A__	=    data
     A__	=    None




    def __repr__(   self						:	Optional[int]				)				->							str:




     '''simple docstring'''

     return F"""Node({self.data})"""






class      UpperCAmelCase_  :




    def __init__(   self						:	Dict				)				->							Any:




     '''simple docstring'''

     A__	=    None




    def __iter__(   self						:	List[Any]				)				->							Any:




     '''simple docstring'''

     A__	=    self.head
     while node:
      yield node.data
      A__	=    node.next




    def __len__(   self						:	Any				)				->							int:




     '''simple docstring'''

     return sum(1 for _ in self				)




    def __repr__(   self						:	List[str]				)				->							str:




     '''simple docstring'''

     return "->".join([str(snake_case_				) for item in self]				)




    def __getitem__(   self						:	str     ,			snake_case_						:	int				)				->							Any:




     '''simple docstring'''

     if not 0 <= index < len(self				):
      raise ValueError("list index out of range."				)
     for i, node in enumerate(self				):
      if i == index:
       return node
     return None




    def __setitem__(   self						:	Tuple     ,			snake_case_						:	int     ,			snake_case_						:	Any				)				->							None:




     '''simple docstring'''

     if not 0 <= index < len(self				):
      raise ValueError("list index out of range."				)
     A__	=    self.head
     for _ in range(snake_case_				):
      A__	=    current.next
     A__	=    data




    def 							__magic_name__							(   self						:	List[Any]     ,			snake_case_						:	Any				)				->							None:




     '''simple docstring'''

     self.insert_nth(len(self				)     ,			snake_case_				)




    def 							__magic_name__							(   self						:	Tuple     ,			snake_case_						:	Any				)				->							None:




     '''simple docstring'''

     self.insert_nth(0     ,			snake_case_				)




    def 							__magic_name__							(   self						:	Dict     ,			snake_case_						:	int     ,			snake_case_						:	Any				)				->							None:




     '''simple docstring'''

     if not 0 <= index <= len(self				):
      raise IndexError("list index out of range"				)
     A__	=    Node(snake_case_				)
     if self.head is None:
      A__	=    new_node
     elif index == 0:
      A__	=    self.head  # link new_node to head
      A__	=    new_node
     else:
      A__	=    self.head
      for _ in range(index - 1				):
       A__	=    temp.next
      A__	=    temp.next
      A__	=    new_node




    def 							__magic_name__							(   self						:	Dict				)				->							None:  # print every node data




     '''simple docstring'''

     print(self				)




    def 							__magic_name__							(   self						:	Dict				)				->							Any:




     '''simple docstring'''

     return self.delete_nth(0				)




    def 							__magic_name__							(   self						:	Optional[Any]				)				->							Any:  # delete from tail




     '''simple docstring'''

     return self.delete_nth(len(self				) - 1				)




    def 							__magic_name__							(   self						:	Any     ,			snake_case_						:	int = 0				)				->							Any:




     '''simple docstring'''

     if not 0 <= index <= len(self				) - 1:  # test if index is valid
      raise IndexError("List index out of range."				)
     A__	=    self.head  # default first node
     if index == 0:
      A__	=    self.head.next
     else:
      A__	=    self.head
      for _ in range(index - 1				):
       A__	=    temp.next
      A__	=    temp.next
      A__	=    temp.next.next
     return delete_node.data




    def 							__magic_name__							(   self						:	Dict				)				->							bool:




     '''simple docstring'''

     return self.head is None




    def 							__magic_name__							(   self						:	List[Any]				)				->							None:




     '''simple docstring'''

     A__	=    None
     A__	=    self.head

     while current:
      # Store the current node's next node.
      A__	=    current.next
      # Make the current node's next point backwards
      A__	=    prev
      # Make the previous node be the current node
      A__	=    current
      # Make the current node the next node (to progress iteration)
      A__	=    next_node
     # Return prev in order to put the head at the end
     A__	=    prev







def   _SCREAMING_SNAKE_CASE       (							)						->		None:
 A__	=    LinkedList()
 assert linked_list.is_empty() is True
 assert str(lowercase_						) == ""

 try:
  linked_list.delete_head()
  raise AssertionError  # This should not happen.
 except IndexError:
  assert True  # This should happen.

 try:
  linked_list.delete_tail()
  raise AssertionError  # This should not happen.
 except IndexError:
  assert True  # This should happen.

 for i in range(10						):
  assert len(lowercase_						) == i
  linked_list.insert_nth(lowercase_      ,			i + 1						)
 assert str(lowercase_						) == "->".join(str(lowercase_						) for i in range(1      ,			11						)						)

 linked_list.insert_head(0						)
 linked_list.insert_tail(11						)
 assert str(lowercase_						) == "->".join(str(lowercase_						) for i in range(0      ,			12						)						)

 assert linked_list.delete_head() == 0
 assert linked_list.delete_nth(9						) == 10
 assert linked_list.delete_tail() == 11
 assert len(lowercase_						) == 9
 assert str(lowercase_						) == "->".join(str(lowercase_						) for i in range(1      ,			10						)						)

 assert all(linked_list[i] == i + 1 for i in range(0      ,			9						)						) is True

 for i in range(0      ,			9						):
  A__	=    -i
 assert all(linked_list[i] == -i for i in range(0      ,			9						)						) is True

 linked_list.reverse()
 assert str(lowercase_						) == "->".join(str(lowercase_						) for i in range(-8      ,			1						)						)







def   _SCREAMING_SNAKE_CASE       (							)						->		None:
 A__	=    [
     -9,
     1_00,
     Node(77_34_51_12						),
     "dlrow olleH",
     7,
     55_55,
     0,
     -1_9_2.5_5_5_5_5,
     "Hello, world!",
     7_7.9,
     Node(10						),
     None,
     None,
     1_2.2_0,
 ]
 A__	=    LinkedList()

 for i in test_input:
  linked_list.insert_tail(lowercase_						)

 # Check if it's empty or not
 assert linked_list.is_empty() is False
 assert (
     str(lowercase_						) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
     "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
 )

 # Delete the head
 A__	=    linked_list.delete_head()
 assert result == -9
 assert (
     str(lowercase_						) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
     "Hello, world!->77.9->Node(10)->None->None->12.2"
 )

 # Delete the tail
 A__	=    linked_list.delete_tail()
 assert result == 1_2.2
 assert (
     str(lowercase_						) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
     "Hello, world!->77.9->Node(10)->None->None"
 )

 # Delete a node in specific location in linked list
 A__	=    linked_list.delete_nth(10						)
 assert result is None
 assert (
     str(lowercase_						) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
     "Hello, world!->77.9->Node(10)->None"
 )

 # Add a Node instance to its head
 linked_list.insert_head(Node("Hello again, world!"						)						)
 assert (
     str(lowercase_						)
     == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
     "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
 )

 # Add None to its tail
 linked_list.insert_tail(lowercase_						)
 assert (
     str(lowercase_						)
     == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
     "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
 )

 # Reverse the linked list
 linked_list.reverse()
 assert (
     str(lowercase_						)
     == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
     "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
 )







def   _SCREAMING_SNAKE_CASE       (							)						->		Optional[int]:
 from doctest import testmod

 testmod()

 A__	=    LinkedList()
 linked_list.insert_head(input("Inserting 1st at head "						).strip()						)
 linked_list.insert_head(input("Inserting 2nd at head "						).strip()						)
 print("\nPrint list:"						)
 linked_list.print_list()
 linked_list.insert_tail(input("\nInserting 1st at tail "						).strip()						)
 linked_list.insert_tail(input("Inserting 2nd at tail "						).strip()						)
 print("\nPrint list:"						)
 linked_list.print_list()
 print("\nDelete head"						)
 linked_list.delete_head()
 print("Delete tail"						)
 linked_list.delete_tail()
 print("\nPrint list:"						)
 linked_list.print_list()
 print("\nReverse linked list"						)
 linked_list.reverse()
 print("\nPrint list:"						)
 linked_list.print_list()
 print("\nString representation of linked list:"						)
 print(lowercase_						)
 print("\nReading/changing Node data using indexing:"						)
 print(f"""Element at Position 1: {linked_list[1]}"""						)
 A__	=    input("Enter New Value: "						).strip()
 print("New list:"						)
 print(lowercase_						)
 print(f"""length of linked_list is : {len(lowercase_						)}"""						)


if __name__ == "__main__":
      main()





