
'''simple docstring'''







import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available


if is_torch_available():
						from transformers.pytorch_utils import is_torch_greater_or_equal_than_1_11
else:
						_snake_case					: str     			=					False

if is_vision_available():
						from PIL import Image

						from transformers import (
						    AutoProcessor,
						    PixaStructImageProcessor,
						    PixaStructProcessor,
						    PreTrainedTokenizerFast,
						    TaTokenizer,
						)


@unittest.skipIf(
    not is_torch_greater_or_equal_than_1_11		,  reason="""`Pix2StructImageProcessor` requires `torch>=1.11.0`."""		,  )
@require_vision
@require_torch
class       lowerCAmelCase			(					unittest.TestCase      ):




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			tempfile.mkdtemp()

								_SCREAMING_SNAKE_CASE					=			PixaStructImageProcessor()
								_SCREAMING_SNAKE_CASE					=			TaTokenizer.from_pretrained("t5-small"   )

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(__A       ,    __A   )

								processor.save_pretrained(self.tmpdirname   )




		def      lowercase							(					self       ,    **UpperCamelCase   ):
								return AutoProcessor.from_pretrained(self.tmpdirname       ,    **__A   ).tokenizer




		def      lowercase							(					self       ,    **UpperCamelCase   ):
								return AutoProcessor.from_pretrained(self.tmpdirname       ,    **__A   ).image_processor




		def      lowercase							(					self   ):
								shutil.rmtree(self.tmpdirname   )




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			[np.random.randint(255       ,    size=(3, 30, 400)       ,    dtype=np.uinta   )]

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

								return image_inputs




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(tokenizer=self.get_tokenizer()       ,    image_processor=self.get_image_processor()   )
								processor.save_pretrained(self.tmpdirname   )

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

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor.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      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			self.get_image_processor()
								_SCREAMING_SNAKE_CASE					=			self.get_tokenizer()

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(tokenizer=__A       ,    image_processor=__A   )

								_SCREAMING_SNAKE_CASE					=			self.prepare_image_inputs()

								_SCREAMING_SNAKE_CASE					=			image_processor(__A       ,    return_tensors="np"   )
								_SCREAMING_SNAKE_CASE					=			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      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			self.get_image_processor()
								_SCREAMING_SNAKE_CASE					=			self.get_tokenizer()

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(tokenizer=__A       ,    image_processor=__A   )

								_SCREAMING_SNAKE_CASE					=			"""lower newer"""

								_SCREAMING_SNAKE_CASE					=			processor(text=__A   )

								_SCREAMING_SNAKE_CASE					=			tokenizer(__A       ,    return_token_type_ids=__A       ,    add_special_tokens=__A   )

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




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			self.get_image_processor()
								_SCREAMING_SNAKE_CASE					=			self.get_tokenizer()

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(tokenizer=__A       ,    image_processor=__A   )

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

								_SCREAMING_SNAKE_CASE					=			processor(text=__A       ,    images=__A   )

								self.assertListEqual(
								    list(inputs.keys()   )       ,    ["flattened_patches", "attention_mask", "decoder_attention_mask", "decoder_input_ids"]   )

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




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			self.get_image_processor()
								_SCREAMING_SNAKE_CASE					=			self.get_tokenizer()

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(tokenizer=__A       ,    image_processor=__A   )

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

								_SCREAMING_SNAKE_CASE					=			processor(text=__A       ,    images=__A   )

								_SCREAMING_SNAKE_CASE					=			[512, 1_024, 2_048, 4_096]
								_SCREAMING_SNAKE_CASE					=			[770, 770, 770, 770]
								# with text
								for i, max_patch in enumerate(__A   ):
														_SCREAMING_SNAKE_CASE					=			processor(text=__A       ,    images=__A       ,    max_patches=__A   )
														self.assertEqual(inputs["flattened_patches"][0].shape[0]       ,    __A   )
														self.assertEqual(inputs["flattened_patches"][0].shape[1]       ,    expected_hidden_size[i]   )

								# without text input
								for i, max_patch in enumerate(__A   ):
														_SCREAMING_SNAKE_CASE					=			processor(images=__A       ,    max_patches=__A   )
														self.assertEqual(inputs["flattened_patches"][0].shape[0]       ,    __A   )
														self.assertEqual(inputs["flattened_patches"][0].shape[1]       ,    expected_hidden_size[i]   )




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			self.get_image_processor()
								_SCREAMING_SNAKE_CASE					=			self.get_tokenizer()

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(tokenizer=__A       ,    image_processor=__A   )

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

								_SCREAMING_SNAKE_CASE					=			processor.batch_decode(__A   )
								_SCREAMING_SNAKE_CASE					=			tokenizer.batch_decode(__A   )

								self.assertListEqual(__A       ,    __A   )




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			self.get_image_processor()
								_SCREAMING_SNAKE_CASE					=			self.get_tokenizer()

								_SCREAMING_SNAKE_CASE					=			PixaStructProcessor(tokenizer=__A       ,    image_processor=__A   )

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

								_SCREAMING_SNAKE_CASE					=			processor(text=__A       ,    images=__A   )

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

								_SCREAMING_SNAKE_CASE					=			processor(text=__A   )

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

"""simple docstring"""






from __future__ import annotations

from typing import Generic, TypeVar

__UpperCAmelCase 					=    TypeVar('T')




class      _SCREAMING_SNAKE_CASE   (     A__				):
			pass




class      _SCREAMING_SNAKE_CASE   (     A__				):
			pass




class      _SCREAMING_SNAKE_CASE   (     Generic[T]				):






			def __init__(   self			,  __A = 10			)     ->	Optional[int]:
						lowerCAmelCase_       :list[T]     	=    []
						lowerCAmelCase_       :int     	=    limit






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






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






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






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






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






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






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






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






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






def 		_snake_case			(      )    ->							None:


			'''simple docstring'''





			lowerCAmelCase_       :Stack[int]     	=    Stack(1_0						)
			assert bool(lowercase__						) is False
			assert stack.is_empty() is True
			assert stack.is_full() is False
			assert str(lowercase__						) == "[]"

			try:
						lowerCAmelCase_       :Optional[Any]     	=    stack.pop()
						raise AssertionError  # This should not happen
			except StackUnderflowError:
						assert True  # This should happen

			try:
						lowerCAmelCase_       :Optional[int]     	=    stack.peek()
						raise AssertionError  # This should not happen
			except StackUnderflowError:
						assert True  # This should happen

			for i in range(1_0						):
						assert stack.size() == i
						stack.push(lowercase__						)

			assert bool(lowercase__						)
			assert not stack.is_empty()
			assert stack.is_full()
			assert str(lowercase__						) == str(list(range(1_0						)						)						)
			assert stack.pop() == 9
			assert stack.peek() == 8

			stack.push(1_0_0						)
			assert str(lowercase__						) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 1_0_0]						)

			try:
						stack.push(2_0_0						)
						raise AssertionError  # This should not happen
			except StackOverflowError:
						assert True  # This should happen

			assert not stack.is_empty()
			assert stack.size() == 1_0

			assert 5 in stack
			assert 5_5 not in stack


if __name__ == "__main__":
				test_stack()






