

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:
							lowerCAmelCase__             =		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 						lowercase     (					unittest.TestCase				):


		"""simple docstring"""




		def 		A__       (					self):
			_UpperCamelCase :		Optional[Any]								=    tempfile.mkdtemp()

			_UpperCamelCase :		Dict								=    PixaStructImageProcessor()
			_UpperCamelCase :		Tuple								=    TaTokenizer.from_pretrained('t5-small')

			_UpperCamelCase :		Optional[Any]								=    PixaStructProcessor(__snake_case						,							__snake_case)

			processor.save_pretrained(self.tmpdirname)


		def 		A__       (					self						,							**__snake_case):
			return AutoProcessor.from_pretrained(self.tmpdirname						,							**__snake_case).tokenizer


		def 		A__       (					self						,							**__snake_case):
			return AutoProcessor.from_pretrained(self.tmpdirname						,							**__snake_case).image_processor


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


		def 		A__       (					self):
			_UpperCamelCase :		Dict								=    [np.random.randint(2_55						,							size=(3, 30, 4_00)						,							dtype=np.uinta)]

			_UpperCamelCase :		Optional[int]								=    [Image.fromarray(np.moveaxis(__snake_case						,							0						,							-1)) for x in image_inputs]

			return image_inputs


		def 		A__       (					self):
			_UpperCamelCase :		int								=    PixaStructProcessor(tokenizer=self.get_tokenizer()						,							image_processor=self.get_image_processor())
			processor.save_pretrained(self.tmpdirname)

			_UpperCamelCase :		int								=    self.get_tokenizer(bos_token='(BOS)'						,							eos_token='(EOS)')
			_UpperCamelCase :		Optional[Any]								=    self.get_image_processor(do_normalize=__snake_case						,							padding_value=1.0)

			_UpperCamelCase :		Optional[int]								=    PixaStructProcessor.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 		A__       (					self):
			_UpperCamelCase :		List[str]								=    self.get_image_processor()
			_UpperCamelCase :		List[Any]								=    self.get_tokenizer()

			_UpperCamelCase :		Dict								=    PixaStructProcessor(tokenizer=__snake_case						,							image_processor=__snake_case)

			_UpperCamelCase :		Tuple								=    self.prepare_image_inputs()

			_UpperCamelCase :		Union[str, Any]								=    image_processor(__snake_case						,							return_tensors='np')
			_UpperCamelCase :		Tuple								=    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 		A__       (					self):
			_UpperCamelCase :		List[Any]								=    self.get_image_processor()
			_UpperCamelCase :		Tuple								=    self.get_tokenizer()

			_UpperCamelCase :		Any								=    PixaStructProcessor(tokenizer=__snake_case						,							image_processor=__snake_case)

			_UpperCamelCase :		int								=    'lower newer'

			_UpperCamelCase :		Dict								=    processor(text=__snake_case)

			_UpperCamelCase :		int								=    tokenizer(__snake_case						,							return_token_type_ids=__snake_case						,							add_special_tokens=__snake_case)

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


		def 		A__       (					self):
			_UpperCamelCase :		Dict								=    self.get_image_processor()
			_UpperCamelCase :		Optional[Any]								=    self.get_tokenizer()

			_UpperCamelCase :		int								=    PixaStructProcessor(tokenizer=__snake_case						,							image_processor=__snake_case)

			_UpperCamelCase :		Optional[Any]								=    'lower newer'
			_UpperCamelCase :		Any								=    self.prepare_image_inputs()

			_UpperCamelCase :		str								=    processor(text=__snake_case						,							images=__snake_case)

			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(__snake_case):
				processor()


		def 		A__       (					self):
			_UpperCamelCase :		Union[str, Any]								=    self.get_image_processor()
			_UpperCamelCase :		Any								=    self.get_tokenizer()

			_UpperCamelCase :		List[str]								=    PixaStructProcessor(tokenizer=__snake_case						,							image_processor=__snake_case)

			_UpperCamelCase :		Optional[int]								=    'lower newer'
			_UpperCamelCase :		Any								=    self.prepare_image_inputs()

			_UpperCamelCase :		Tuple								=    processor(text=__snake_case						,							images=__snake_case)

			_UpperCamelCase :		int								=    [5_12, 10_24, 20_48, 40_96]
			_UpperCamelCase :		Any								=    [7_70, 7_70, 7_70, 7_70]
			# with text
			for i, max_patch in enumerate(__snake_case):
				_UpperCamelCase :		int								=    processor(text=__snake_case						,							images=__snake_case						,							max_patches=__snake_case)
				self.assertEqual(inputs['flattened_patches'][0].shape[0]						,							__snake_case)
				self.assertEqual(inputs['flattened_patches'][0].shape[1]						,							expected_hidden_size[i])

			# without text input
			for i, max_patch in enumerate(__snake_case):
				_UpperCamelCase :		List[str]								=    processor(images=__snake_case						,							max_patches=__snake_case)
				self.assertEqual(inputs['flattened_patches'][0].shape[0]						,							__snake_case)
				self.assertEqual(inputs['flattened_patches'][0].shape[1]						,							expected_hidden_size[i])


		def 		A__       (					self):
			_UpperCamelCase :		List[Any]								=    self.get_image_processor()
			_UpperCamelCase :		Tuple								=    self.get_tokenizer()

			_UpperCamelCase :		Tuple								=    PixaStructProcessor(tokenizer=__snake_case						,							image_processor=__snake_case)

			_UpperCamelCase :		Union[str, Any]								=    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

			_UpperCamelCase :		Optional[Any]								=    processor.batch_decode(__snake_case)
			_UpperCamelCase :		Any								=    tokenizer.batch_decode(__snake_case)

			self.assertListEqual(__snake_case						,							__snake_case)






		def 		A__       (					self):
			_UpperCamelCase :		List[str]								=    self.get_image_processor()
			_UpperCamelCase :		Tuple								=    self.get_tokenizer()

			_UpperCamelCase :		Any								=    PixaStructProcessor(tokenizer=__snake_case						,							image_processor=__snake_case)

			_UpperCamelCase :		List[Any]								=    'lower newer'
			_UpperCamelCase :		Any								=    self.prepare_image_inputs()

			_UpperCamelCase :		Optional[Any]								=    processor(text=__snake_case						,							images=__snake_case)

			# 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'])

			_UpperCamelCase :		Any								=    processor(text=__snake_case)

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







import posixpath
from pathlib import Path
from unittest.mock import patch

import pytest
from fsspec.implementations.local import AbstractFileSystem, LocalFileSystem, stringify_path
from fsspec.registry import _registry as _fsspec_registry







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




		a__       							=	"mock"


		def __init__(					self						,							*__snake_case						,							__snake_case						,							**__snake_case):
			super().__init__()
			_UpperCamelCase :		str								=    LocalFileSystem(*__snake_case						,							**__snake_case)
			_UpperCamelCase :		str								=    Path(__snake_case).resolve().as_posix() + '/'


		def 		A__       (					self						,							__snake_case						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		int								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.mkdir(__snake_case						,							*__snake_case						,							**__snake_case)


		def 		A__       (					self						,							__snake_case						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		List[str]								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.makedirs(__snake_case						,							*__snake_case						,							**__snake_case)


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		Dict								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.rmdir(__snake_case)


		def 		A__       (					self						,							__snake_case						,							__snake_case=True						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		Union[str, Any]								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			_UpperCamelCase :		Tuple								=    self._fs.ls(__snake_case						,							detail=__snake_case						,							*__snake_case						,							**__snake_case)
			if detail:
				return [{**info, "name": info["name"][len(self.local_root_dir) :]} for info in out]
			else:
				return [name[len(self.local_root_dir) :] for name in out]


		def 		A__       (					self						,							__snake_case						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		Optional[Any]								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			_UpperCamelCase :		Optional[Any]								=    dict(self._fs.info(__snake_case						,							*__snake_case						,							**__snake_case))
			_UpperCamelCase :		Dict								=    out['name'][len(self.local_root_dir) :]
			return out


		def 		A__       (					self						,							__snake_case						,							__snake_case						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		str								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			_UpperCamelCase :		Tuple								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.cp_file(__snake_case						,							__snake_case						,							*__snake_case						,							**__snake_case)


		def 		A__       (					self						,							__snake_case						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		Dict								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.rm_file(__snake_case						,							*__snake_case						,							**__snake_case)


		def 		A__       (					self						,							__snake_case						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		int								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.rm(__snake_case						,							*__snake_case						,							**__snake_case)


		def 		A__       (					self						,							__snake_case						,							*__snake_case						,							**__snake_case):
			_UpperCamelCase :		Dict								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs._open(__snake_case						,							*__snake_case						,							**__snake_case)


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		Dict								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.created(__snake_case)


		def 		A__       (					self						,							__snake_case):
			_UpperCamelCase :		Dict								=    posixpath.join(self.local_root_dir						,							self._strip_protocol(__snake_case))
			return self._fs.modified(__snake_case)






		@classmethod
		def 		A__       (					cls						,							__snake_case):
			_UpperCamelCase :		List[Any]								=    stringify_path(__snake_case)
			if path.startswith('mock://'):
				_UpperCamelCase :		int								=    path[7:]
			return path







class 						lowercase     (					_lowercase				):


		"""simple docstring"""




		a__       							=	"tmp"
		a__       							=	None


		def __init__(					self						,							*__snake_case						,							**__snake_case):
			assert self.tmp_dir is not None, "TmpDirFileSystem.tmp_dir is not set"
			super().__init__(*__snake_case						,							**__snake_case						,							local_root_dir=self.tmp_dir						,							auto_mkdir=__snake_case)






		@classmethod
		def 		A__       (					cls						,							__snake_case):
			_UpperCamelCase :		Optional[int]								=    stringify_path(__snake_case)
			if path.startswith('tmp://'):
				_UpperCamelCase :		Optional[Any]								=    path[6:]
			return path






@pytest.fixture
def        lowerCamelCase_  (				)    ->					Dict:




	'''simple docstring'''




	_UpperCamelCase :		List[str]								=    MockFileSystem
	_UpperCamelCase :		Optional[int]								=    TmpDirFileSystem
	yield
	del _fsspec_registry["mock"]
	del _fsspec_registry["tmp"]






@pytest.fixture
def        lowerCamelCase_  (				UpperCAmelCase_				:  Any				,							UpperCAmelCase_				:  Optional[int]						)    ->					Optional[int]:




	'''simple docstring'''




	_UpperCamelCase :		str								=    tmp_path_factory.mktemp('mockfs'						)
	return MockFileSystem(local_root_dir=UpperCAmelCase_				,							auto_mkdir=UpperCAmelCase_						)







@pytest.fixture
def        lowerCamelCase_  (				UpperCAmelCase_				:  Tuple				,							UpperCAmelCase_				:  Union[str, Any]						)    ->					int:




	'''simple docstring'''




	_UpperCamelCase :		Dict								=    tmp_path_factory.mktemp('tmpfs'						)
	with patch.object(UpperCAmelCase_				,							'tmp_dir'				,							UpperCAmelCase_						):
		yield TmpDirFileSystem()




