
"""simple docstring"""
import unittest
from dataclasses import dataclass
from typing import List, Union

import numpy as np
import PIL.Image

from diffusers.utils.outputs import BaseOutput
@dataclass
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							_snake_case		     =						42
class      lowerCAmelCase_						(							unittest.TestCase				):



							'''simple docstring'''





							def  A__		(				self							)   ->       int:
													__lowerCAmelCase        =       CustomOutput(images=np.random.rand(1  ,							3  ,							4  ,							4							)							)

													# check every way of getting the attribute
													assert isinstance(outputs.images  ,							np.ndarray							)
													assert outputs.images.shape == (1, 3, 4, 4)
													assert isinstance(outputs["""images"""]  ,							np.ndarray							)
													assert outputs["images"].shape == (1, 3, 4, 4)
													assert isinstance(outputs[0]  ,							np.ndarray							)
													assert outputs[0].shape == (1, 3, 4, 4)

													# test with a non-tensor attribute
													__lowerCAmelCase        =       CustomOutput(images=[PIL.Image.new("""RGB"""  ,							(4, 4)							)]							)

													# check every way of getting the attribute
													assert isinstance(outputs.images  ,							snake_case_							)
													assert isinstance(outputs.images[0]  ,							PIL.Image.Image							)
													assert isinstance(outputs["""images"""]  ,							snake_case_							)
													assert isinstance(outputs["""images"""][0]  ,							PIL.Image.Image							)
													assert isinstance(outputs[0]  ,							snake_case_							)
													assert isinstance(outputs[0][0]  ,							PIL.Image.Image							)




							def  A__		(				self							)   ->       Union[str, Any]:
													# test output reinitialization with a `dict` for compatibility with `accelerate`
													__lowerCAmelCase        =       CustomOutput({"""images""": np.random.rand(1  ,							3  ,							4  ,							4							)}							)

													# check every way of getting the attribute
													assert isinstance(outputs.images  ,							np.ndarray							)
													assert outputs.images.shape == (1, 3, 4, 4)
													assert isinstance(outputs["""images"""]  ,							np.ndarray							)
													assert outputs["images"].shape == (1, 3, 4, 4)
													assert isinstance(outputs[0]  ,							np.ndarray							)
													assert outputs[0].shape == (1, 3, 4, 4)

													# test with a non-tensor attribute
													__lowerCAmelCase        =       CustomOutput({"""images""": [PIL.Image.new("""RGB"""  ,							(4, 4)							)]}							)

													# check every way of getting the attribute
													assert isinstance(outputs.images  ,							snake_case_							)
													assert isinstance(outputs.images[0]  ,							PIL.Image.Image							)
													assert isinstance(outputs["""images"""]  ,							snake_case_							)
													assert isinstance(outputs["""images"""][0]  ,							PIL.Image.Image							)
													assert isinstance(outputs[0]  ,							snake_case_							)
													assert isinstance(outputs[0][0]  ,							PIL.Image.Image							)


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

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE_			      =					TypeVar('''T''')
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							pass
class      lowerCAmelCase_						(							A__				):



							'''simple docstring'''





							pass
class      lowerCAmelCase_						(							Generic[T]				):



							'''simple docstring'''





							def __init__(				self  ,							snake_case_ = 10							)   ->       Tuple:
													__lowerCAmelCase        =       []
													__lowerCAmelCase        =       limit




							def __bool__(				self							)   ->       bool:
													return bool(self.stack							)




							def __str__(				self							)   ->       str:
													return str(self.stack							)




							def  A__		(				self  ,							snake_case_							)   ->       None:
													if len(self.stack							) >= self.limit:
																			raise StackOverflowError
													self.stack.append(snake_case_							)




							def  A__		(				self							)   ->       T:
													if not self.stack:
																			raise StackUnderflowError
													return self.stack.pop()




							def  A__		(				self							)   ->       T:
													if not self.stack:
																			raise StackUnderflowError
													return self.stack[-1]




							def  A__		(				self							)   ->       bool:
													return not bool(self.stack							)




							def  A__		(				self							)   ->       bool:
													return self.size() == self.limit




							def  A__		(				self							)   ->       int:
													return len(self.stack							)




							def __contains__(				self  ,							snake_case_							)   ->       bool:
													return item in self.stack

def 				lowercase      ():
						__lowerCAmelCase        =       Stack(10		)
						assert bool(_lowerCAmelCase		) is False
						assert stack.is_empty() is True
						assert stack.is_full() is False
						assert str(_lowerCAmelCase		) == "[]"

						try:
												__lowerCAmelCase        =       stack.pop()
												raise AssertionError  # This should not happen
						except StackUnderflowError:
												assert True  # This should happen

						try:
												__lowerCAmelCase        =       stack.peek()
												raise AssertionError  # This should not happen
						except StackUnderflowError:
												assert True  # This should happen

						for i in range(10		):
												assert stack.size() == i
												stack.push(_lowerCAmelCase		)

						assert bool(_lowerCAmelCase		)
						assert not stack.is_empty()
						assert stack.is_full()
						assert str(_lowerCAmelCase		) == str(list(range(10		)		)		)
						assert stack.pop() == 9
						assert stack.peek() == 8

						stack.push(100		)
						assert str(_lowerCAmelCase		) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]		)

						try:
												stack.push(200		)
												raise AssertionError  # This should not happen
						except StackOverflowError:
												assert True  # This should happen

						assert not stack.is_empty()
						assert stack.size() == 10

						assert 5 in stack
						assert 55 not in stack


if __name__ == "__main__":
			test_stack()
