




'''simple docstring'''


import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_torch_available, is_vision_available


if is_torch_available():
	import torch


if is_vision_available():
	from PIL import Image

	from transformers import MgpstrProcessor, ViTImageProcessor
@require_torch
@require_vision
class 						a_				(			unittest.TestCase						):
	lowercase_       :     List[str]			  =      ViTImageProcessor if is_vision_available() else None




	@property
	def   lowercase__   (       self     :  List[str]      ):
							return self.image_processor_tester.prepare_image_processor_dict()




	def   lowercase__   (       self     :  str      ):
							__snake_case						 =   (3, 3_2, 1_2_8)
							__snake_case						 =   tempfile.mkdtemp()

							# fmt: off
							__snake_case						 =   ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
							# fmt: on
							__snake_case						 =   dict(zip(__lowerCAmelCase       ,		range(len(__lowerCAmelCase      )      )      )      )

							__snake_case						 =   os.path.join(self.tmpdirname       ,		VOCAB_FILES_NAMES['vocab_file']      )
							with open(self.vocab_file       ,		'w'       ,		encoding='utf-8'      ) as fp:
													fp.write(json.dumps(__lowerCAmelCase      ) + '\n'      )

							__snake_case						 =   {
							    'do_normalize': False,
							    'do_resize': True,
							    'image_processor_type': 'ViTImageProcessor',
							    'resample': 3,
							    'size': {'height': 3_2, 'width': 1_2_8},
							}
							__snake_case						 =   os.path.join(self.tmpdirname       ,		__lowerCAmelCase      )
							with open(self.image_processor_file       ,		'w'       ,		encoding='utf-8'      ) as fp:
													json.dump(__lowerCAmelCase       ,		__lowerCAmelCase      )




	def   lowercase__   (       self     :  Optional[Any]       ,		**__lowerCAmelCase     :  List[Any]      ):
							return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,		**__lowerCAmelCase      )




	def   lowercase__   (       self     :  Optional[Any]       ,		**__lowerCAmelCase     :  Tuple      ):
							return ViTImageProcessor.from_pretrained(self.tmpdirname       ,		**__lowerCAmelCase      )




	def   lowercase__   (       self     :  List[str]      ):
							shutil.rmtree(self.tmpdirname      )




	def   lowercase__   (       self     :  List[Any]      ):
							__snake_case						 =   np.random.randint(2_5_5       ,		size=(3, 3_0, 4_0_0)       ,		dtype=np.uinta      )

							__snake_case						 =   Image.fromarray(np.moveaxis(__lowerCAmelCase       ,		0       ,		-1      )      )

							return image_input




	def   lowercase__   (       self     :  List[Any]      ):
							__snake_case						 =   self.get_tokenizer()
							__snake_case						 =   self.get_image_processor()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )
							processor.save_pretrained(self.tmpdirname      )
							__snake_case						 =   MgpstrProcessor.from_pretrained(self.tmpdirname       ,		use_fast=__lowerCAmelCase      )

							self.assertEqual(processor.char_tokenizer.get_vocab()       ,		tokenizer.get_vocab()      )
							self.assertIsInstance(processor.char_tokenizer       ,		__lowerCAmelCase      )

							self.assertEqual(processor.image_processor.to_json_string()       ,		image_processor.to_json_string()      )
							self.assertIsInstance(processor.image_processor       ,		__lowerCAmelCase      )




	def   lowercase__   (       self     :  int      ):
							__snake_case						 =   self.get_tokenizer()
							__snake_case						 =   self.get_image_processor()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )
							processor.save_pretrained(self.tmpdirname      )

							__snake_case						 =   self.get_tokenizer(bos_token='(BOS)'       ,		eos_token='(EOS)'      )
							__snake_case						 =   self.get_image_processor(do_normalize=__lowerCAmelCase       ,		padding_value=1.0      )

							__snake_case						 =   MgpstrProcessor.from_pretrained(
							    self.tmpdirname       ,		bos_token='(BOS)'       ,		eos_token='(EOS)'       ,		do_normalize=__lowerCAmelCase       ,		padding_value=1.0      )

							self.assertEqual(processor.char_tokenizer.get_vocab()       ,		tokenizer_add_kwargs.get_vocab()      )
							self.assertIsInstance(processor.char_tokenizer       ,		__lowerCAmelCase      )

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




	def   lowercase__   (       self     :  Optional[int]      ):
							__snake_case						 =   self.get_image_processor()
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )

							__snake_case						 =   self.prepare_image_inputs()

							__snake_case						 =   image_processor(__lowerCAmelCase       ,		return_tensors='np'      )
							__snake_case						 =   processor(images=__lowerCAmelCase       ,		return_tensors='np'      )

							for key in input_image_proc.keys():
													self.assertAlmostEqual(input_image_proc[key].sum()       ,		input_processor[key].sum()       ,		delta=1E-2      )




	def   lowercase__   (       self     :  List[str]      ):
							__snake_case						 =   self.get_image_processor()
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )

							__snake_case						 =   'test'

							__snake_case						 =   processor(text=__lowerCAmelCase      )

							__snake_case						 =   tokenizer(__lowerCAmelCase      )
							for key in encoded_tok.keys():
													self.assertListEqual(encoded_tok[key]       ,		encoded_processor[key]      )




	def   lowercase__   (       self     :  Tuple      ):
							__snake_case						 =   self.get_image_processor()
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )

							__snake_case						 =   'test'
							__snake_case						 =   self.prepare_image_inputs()

							__snake_case						 =   processor(text=__lowerCAmelCase       ,		images=__lowerCAmelCase      )

							self.assertListEqual(list(inputs.keys()      )       ,		['pixel_values', 'labels']      )

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




	def   lowercase__   (       self     :  List[str]      ):
							__snake_case						 =   self.get_image_processor()
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )

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

							__snake_case						 =   processor.char_decode(__lowerCAmelCase      )
							__snake_case						 =   tokenizer.batch_decode(__lowerCAmelCase      )
							__snake_case						 =   [seq.replace(' '       ,		''      ) for seq in decoded_tok]

							self.assertListEqual(__lowerCAmelCase       ,		__lowerCAmelCase      )




	def   lowercase__   (       self     :  int      ):
							__snake_case						 =   self.get_image_processor()
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )

							__snake_case						 =   None
							__snake_case						 =   self.prepare_image_inputs()

							__snake_case						 =   processor(text=__lowerCAmelCase       ,		images=__lowerCAmelCase      )

							self.assertListEqual(list(inputs.keys()      )       ,		processor.model_input_names      )




	def   lowercase__   (       self     :  str      ):
							__snake_case						 =   self.get_image_processor()
							__snake_case						 =   self.get_tokenizer()

							__snake_case						 =   MgpstrProcessor(tokenizer=__lowerCAmelCase       ,		image_processor=__lowerCAmelCase      )

							__snake_case						 =   torch.randn(1       ,		2_7       ,		3_8      )
							__snake_case						 =   torch.randn(1       ,		2_7       ,		5_0_2_5_7      )
							__snake_case						 =   torch.randn(1       ,		2_7       ,		3_0_5_2_2      )

							__snake_case						 =   processor.batch_decode([char_input, bpe_input, wp_input]      )

							self.assertListEqual(list(results.keys()      )       ,		['generated_text', 'scores', 'char_preds', 'bpe_preds', 'wp_preds']      )







'''simple docstring'''


from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *

