



"""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    ):







		'''simple docstring'''





		lowerCAmelCase			:					List[str]   	=				ViTImageProcessor if is_vision_available() else None







		@property
		def 					UpperCAmelCase    (	self						:  str						)					->		Union[str, Any]:






				"""simple docstring"""



				return self.image_processor_tester.prepare_image_processor_dict()







		def 					UpperCAmelCase    (	self						:  List[str]						)					->		List[str]:






				"""simple docstring"""



				lowercase__   :    int				=			(3, 32, 128)
				lowercase__   :    List[str]				=			tempfile.mkdtemp()

				# fmt: off
				lowercase__   :    Any				=			['''[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
				lowercase__   :    Tuple				=			dict(zip(_snake_case			,range(len(_snake_case						)						)						)						)

				lowercase__   :    Optional[Any]				=			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(_snake_case						) + '''\n'''						)

				lowercase__   :    Optional[Any]				=			{
				    '''do_normalize''': False,
				    '''do_resize''': True,
				    '''image_processor_type''': '''ViTImageProcessor''',
				    '''resample''': 3,
				    '''size''': {'''height''': 32, '''width''': 128},
				}
				lowercase__   :    Optional[int]				=			os.path.join(self.tmpdirname			,_snake_case						)
				with open(self.image_processor_file			,'''w'''			,encoding='''utf-8'''						) as fp:
						json.dump(_snake_case			,_snake_case						)







		def 					UpperCAmelCase    (	self						:  Any			,**_snake_case						:  Dict						)					->		List[str]:






				"""simple docstring"""



				return MgpstrTokenizer.from_pretrained(self.tmpdirname			,**_snake_case						)







		def 					UpperCAmelCase    (	self						:  Any			,**_snake_case						:  List[Any]						)					->		Dict:






				"""simple docstring"""



				return ViTImageProcessor.from_pretrained(self.tmpdirname			,**_snake_case						)







		def 					UpperCAmelCase    (	self						:  Tuple						)					->		Any:






				"""simple docstring"""



				shutil.rmtree(self.tmpdirname						)







		def 					UpperCAmelCase    (	self						:  int						)					->		List[str]:






				"""simple docstring"""



				lowercase__   :    Optional[Any]				=			np.random.randint(255			,size=(3, 30, 400)			,dtype=np.uinta						)

				lowercase__   :    Any				=			Image.fromarray(np.moveaxis(_snake_case			,0			,-1						)						)

				return image_input







		def 					UpperCAmelCase    (	self						:  Optional[int]						)					->		int:






				"""simple docstring"""



				lowercase__   :    List[str]				=			self.get_tokenizer()
				lowercase__   :    Union[str, Any]				=			self.get_image_processor()

				lowercase__   :    int				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)
				processor.save_pretrained(self.tmpdirname						)
				lowercase__   :    Dict				=			MgpstrProcessor.from_pretrained(self.tmpdirname			,use_fast=_snake_case						)

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

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







		def 					UpperCAmelCase    (	self						:  int						)					->		Dict:






				"""simple docstring"""



				lowercase__   :    Dict				=			self.get_tokenizer()
				lowercase__   :    Dict				=			self.get_image_processor()

				lowercase__   :    List[str]				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)
				processor.save_pretrained(self.tmpdirname						)

				lowercase__   :    List[Any]				=			self.get_tokenizer(bos_token='''(BOS)'''			,eos_token='''(EOS)'''						)
				lowercase__   :    List[str]				=			self.get_image_processor(do_normalize=_snake_case			,padding_value=1.0						)

				lowercase__   :    Dict				=			MgpstrProcessor.from_pretrained(
				    self.tmpdirname			,bos_token='''(BOS)'''			,eos_token='''(EOS)'''			,do_normalize=_snake_case			,padding_value=1.0						)

				self.assertEqual(processor.char_tokenizer.get_vocab()			,tokenizer_add_kwargs.get_vocab()						)
				self.assertIsInstance(processor.char_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 					UpperCAmelCase    (	self						:  Dict						)					->		Dict:






				"""simple docstring"""



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

				lowercase__   :    List[Any]				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)

				lowercase__   :    Tuple				=			self.prepare_image_inputs()

				lowercase__   :    Any				=			image_processor(_snake_case			,return_tensors='''np'''						)
				lowercase__   :    str				=			processor(images=_snake_case			,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 					UpperCAmelCase    (	self						:  List[str]						)					->		Any:






				"""simple docstring"""



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

				lowercase__   :    str				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)

				lowercase__   :    Tuple				=			'''test'''

				lowercase__   :    str				=			processor(text=_snake_case						)

				lowercase__   :    List[Any]				=			tokenizer(_snake_case						)
				for key in encoded_tok.keys():
						self.assertListEqual(encoded_tok[key]			,encoded_processor[key]						)







		def 					UpperCAmelCase    (	self						:  int						)					->		Any:






				"""simple docstring"""



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

				lowercase__   :    Union[str, Any]				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)

				lowercase__   :    Union[str, Any]				=			'''test'''
				lowercase__   :    List[Any]				=			self.prepare_image_inputs()

				lowercase__   :    Tuple				=			processor(text=_snake_case			,images=_snake_case						)

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

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







		def 					UpperCAmelCase    (	self						:  Tuple						)					->		str:






				"""simple docstring"""



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

				lowercase__   :    Union[str, Any]				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)

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

				lowercase__   :    List[Any]				=			processor.char_decode(_snake_case						)
				lowercase__   :    Dict				=			tokenizer.batch_decode(_snake_case						)
				lowercase__   :    Optional[int]				=			[seq.replace(''' '''			,''''''						) for seq in decoded_tok]

				self.assertListEqual(_snake_case			,_snake_case						)







		def 					UpperCAmelCase    (	self						:  Dict						)					->		List[str]:






				"""simple docstring"""



				lowercase__   :    int				=			self.get_image_processor()
				lowercase__   :    Union[str, Any]				=			self.get_tokenizer()

				lowercase__   :    int				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)

				lowercase__   :    List[Any]				=			None
				lowercase__   :    List[Any]				=			self.prepare_image_inputs()

				lowercase__   :    Tuple				=			processor(text=_snake_case			,images=_snake_case						)

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







		def 					UpperCAmelCase    (	self						:  Optional[Any]						)					->		Optional[Any]:






				"""simple docstring"""



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

				lowercase__   :    Any				=			MgpstrProcessor(tokenizer=_snake_case			,image_processor=_snake_case						)

				lowercase__   :    Tuple				=			torch.randn(1			,27			,38						)
				lowercase__   :    int				=			torch.randn(1			,27			,50_257						)
				lowercase__   :    List[Any]				=			torch.randn(1			,27			,30_522						)

				lowercase__   :    Any				=			processor.batch_decode([char_input, bpe_input, wp_input]						)

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




def       lowercase_		(		_A			:    int    ,					_A			:    int						):

      """simple docstring"""




      while a != 0:
            lowerCamelCase__    ,   lowerCamelCase__		:				Optional[Any]    =  b % a, a
      return b


def       lowercase_		(		_A			:    int    ,					_A			:    int						):

      """simple docstring"""




      if gcd(_A    ,					_A						) != 1:
            lowerCamelCase__		:				List[str]    =  F"mod inverse of {a!r} and {m!r} does not exist"
            raise ValueError(_A						)
      lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__		:				Tuple    =  1, 0, a
      lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__		:				Optional[int]    =  0, 1, m
      while va != 0:
            lowerCamelCase__		:				Tuple    =  ua // va
            lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__		:				str    =  (ua - q * va), (ua - q * va), (ua - q * va), va, va, va
      return ua % m


