



"""simple docstring"""
from __future__ import annotations

from collections.abc import Iterator
from typing import Any
class 							_UpperCAmelCase							:





     '''simple docstring'''



     def __init__(					self       ,	A		)							->					Union[str, Any]:
         _UpperCAmelCase							:  Any											=    data
         _UpperCAmelCase							:  Node | None											=    None



class 							_UpperCAmelCase							:





     '''simple docstring'''



     def __init__(					self		)							->					Optional[int]:
         _UpperCAmelCase							:  Any											=    None
         _UpperCAmelCase							:  List[str]											=    None





     def __iter__(					self		)							->					Iterator[Any]:
         _UpperCAmelCase							:  Tuple											=    self.head
         while self.head:
             yield node.data
             _UpperCAmelCase							:  str											=    node.next
             if node == self.head:
                 break





     def __len__(					self		)							->					int:
         return sum(1 for _ in self		)





     def __repr__(					self		)							->					str:
         return "->".join(str(A		) for item in iter(self		)		)





     def  __lowerCAmelCase	(					self       ,	A		)							->					None:
         self.insert_nth(len(self		)       ,	A		)





     def  __lowerCAmelCase	(					self       ,	A		)							->					None:
         self.insert_nth(0       ,	A		)





     def  __lowerCAmelCase	(					self       ,	A       ,	A		)							->					None:
         if index < 0 or index > len(self		):
             raise IndexError('''list index out of range.'''		)
         _UpperCAmelCase							:  Optional[Any]											=    Node(A		)
         if self.head is None:
             _UpperCAmelCase							:  List[Any]											=    new_node  # first node points itself
             _UpperCAmelCase							:  List[str]											=    new_node
         elif index == 0:  # insert at head
             _UpperCAmelCase							:  Union[str, Any]											=    self.head
             _UpperCAmelCase							:  Any											=    new_node
         else:
             _UpperCAmelCase							:  Union[str, Any]											=    self.head
             for _ in range(index - 1		):
                 _UpperCAmelCase							:  List[Any]											=    temp.next
             _UpperCAmelCase							:  List[str]											=    temp.next
             _UpperCAmelCase							:  Optional[int]											=    new_node
             if index == len(self		) - 1:  # insert at tail
                 _UpperCAmelCase							:  List[str]											=    new_node





     def  __lowerCAmelCase	(					self		)							->					Tuple:
         return self.delete_nth(0		)





     def  __lowerCAmelCase	(					self		)							->					Any:
         return self.delete_nth(len(self		) - 1		)





     def  __lowerCAmelCase	(					self       ,	A = 0		)							->					Any:
         if not 0 <= index < len(self		):
             raise IndexError('''list index out of range.'''		)
         _UpperCAmelCase							:  Optional[int]											=    self.head
         if self.head == self.tail:  # just one node
             _UpperCAmelCase							:  str											=    None
         elif index == 0:  # delete head node
             _UpperCAmelCase							:  Optional[int]											=    self.tail.next.next
             _UpperCAmelCase							:  str											=    self.head.next
         else:
             _UpperCAmelCase							:  List[Any]											=    self.head
             for _ in range(index - 1		):
                 _UpperCAmelCase							:  Tuple											=    temp.next
             _UpperCAmelCase							:  Optional[int]											=    temp.next
             _UpperCAmelCase							:  Tuple											=    temp.next.next
             if index == len(self		) - 1:  # delete at tail
                 _UpperCAmelCase							:  List[str]											=    temp
         return delete_node.data





     def  __lowerCAmelCase	(					self		)							->					bool:
         return len(self		) == 0





def  lowerCamelCase_						():
    _UpperCAmelCase							:  str											=    CircularLinkedList()
    assert len(UpperCamelCase__							) == 0
    assert circular_linked_list.is_empty() is True
    assert str(UpperCamelCase__							) == ""

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

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

    try:
        circular_linked_list.delete_nth(-1							)
        raise AssertionError
    except IndexError:
        assert True

    try:
        circular_linked_list.delete_nth(0							)
        raise AssertionError
    except IndexError:
        assert True

    assert circular_linked_list.is_empty() is True
    for i in range(5							):
        assert len(UpperCamelCase__							) == i
        circular_linked_list.insert_nth(UpperCamelCase__     ,       i + 1							)
    assert str(UpperCamelCase__							) == "->".join(str(UpperCamelCase__							) for i in range(1     ,       6							)							)

    circular_linked_list.insert_tail(6							)
    assert str(UpperCamelCase__							) == "->".join(str(UpperCamelCase__							) for i in range(1     ,       7							)							)
    circular_linked_list.insert_head(0							)
    assert str(UpperCamelCase__							) == "->".join(str(UpperCamelCase__							) for i in range(0     ,       7							)							)

    assert circular_linked_list.delete_front() == 0
    assert circular_linked_list.delete_tail() == 6
    assert str(UpperCamelCase__							) == "->".join(str(UpperCamelCase__							) for i in range(1     ,       6							)							)
    assert circular_linked_list.delete_nth(2							) == 3

    circular_linked_list.insert_nth(2     ,       3							)
    assert str(UpperCamelCase__							) == "->".join(str(UpperCamelCase__							) for i in range(1     ,       6							)							)

    assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
  import doctest

  doctest.testmod()







"""simple docstring"""
import random
import unittest

import torch

from diffusers import IFImgaImgSuperResolutionPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin
@skip_mps
class 							_UpperCAmelCase							( a		,a		,unittest.TestCase      ):





     '''simple docstring'''



     a__									=IFImgaImgSuperResolutionPipeline
     a__									=TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {'''width''', '''height'''}
     a__									=TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS.union({'''original_image'''}      )
     a__									=PipelineTesterMixin.required_optional_params - {'''latents'''}





     def  __lowerCAmelCase	(					self		)							->					List[str]:
         return self._get_superresolution_dummy_components()





     def  __lowerCAmelCase	(					self       ,	A       ,	A=0		)							->					Union[str, Any]:
         if str(A		).startswith('''mps'''		):
             _UpperCAmelCase							:  Any											=    torch.manual_seed(A		)
         else:
             _UpperCAmelCase							:  int											=    torch.Generator(device=A		).manual_seed(A		)

         _UpperCAmelCase							:  str											=    floats_tensor((1, 3, 3_2, 3_2)       ,	rng=random.Random(A		)		).to(A		)
         _UpperCAmelCase							:  Dict											=    floats_tensor((1, 3, 1_6, 1_6)       ,	rng=random.Random(A		)		).to(A		)

         _UpperCAmelCase							:  List[Any]											=    {
             '''prompt''': '''A painting of a squirrel eating a burger''',
             '''image''': image,
             '''original_image''': original_image,
             '''generator''': generator,
             '''num_inference_steps''': 2,
             '''output_type''': '''numpy''',
         }

         return inputs





     @unittest.skipIf(
         torch_device != '''cuda''' or not is_xformers_available()       ,	reason='''XFormers attention is only available with CUDA and `xformers` installed'''       ,	)
     def  __lowerCAmelCase	(					self		)							->					List[Any]:
         self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3		)





     def  __lowerCAmelCase	(					self		)							->					List[str]:
         self._test_save_load_optional_components()





     @unittest.skipIf(torch_device != '''cuda'''       ,	reason='''float16 requires CUDA'''		)
     def  __lowerCAmelCase	(					self		)							->					Optional[Any]:
         # Due to non-determinism in save load of the hf-internal-testing/tiny-random-t5 text encoder
         super().test_save_load_floataa(expected_max_diff=1E-1		)





     def  __lowerCAmelCase	(					self		)							->					int:
         self._test_attention_slicing_forward_pass(expected_max_diff=1E-2		)





     def  __lowerCAmelCase	(					self		)							->					Union[str, Any]:
         self._test_save_load_local()





     def  __lowerCAmelCase	(					self		)							->					Union[str, Any]:
         self._test_inference_batch_single_identical(
             expected_max_diff=1E-2       ,	)


