



"""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       UpperCamelCase__   (	unittest.TestCase  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     ViTImageProcessor if is_vision_available() else None



      @property
      def      SCREAMING_SNAKE_CASE__ (      self				:      str       ):
        return self.image_processor_tester.prepare_image_processor_dict()



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]       ):
        lowerCAmelCase_   :				int								= (3, 3_2, 1_2_8)
        lowerCAmelCase_   :				List[str]								= tempfile.mkdtemp()

        # fmt: off
        lowerCAmelCase_   :				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
        lowerCAmelCase_   :				Tuple								= dict(zip(_snake_case    ,			range(len(_snake_case       )       )       )       )

        lowerCAmelCase_   :				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'       )

        lowerCAmelCase_   :				Optional[Any]								= {
            '''do_normalize''': False,
            '''do_resize''': True,
            '''image_processor_type''': '''ViTImageProcessor''',
            '''resample''': 3,
            '''size''': {'''height''': 3_2, '''width''': 1_2_8},
        }
        lowerCAmelCase_   :				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      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			**SCREAMING_SNAKE_CASE_				:      Dict       ):
        return MgpstrTokenizer.from_pretrained(self.tmpdirname    ,			**_snake_case       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			**SCREAMING_SNAKE_CASE_				:      List[Any]       ):
        return ViTImageProcessor.from_pretrained(self.tmpdirname    ,			**_snake_case       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Tuple       ):
        shutil.rmtree(self.tmpdirname       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      int       ):
        lowerCAmelCase_   :				Optional[Any]								= np.random.randint(2_5_5    ,			size=(3, 3_0, 4_0_0)    ,			dtype=np.uinta       )

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

        return image_input



      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]       ):
        lowerCAmelCase_   :				List[str]								= self.get_tokenizer()
        lowerCAmelCase_   :				Union[str, Any]								= self.get_image_processor()

        lowerCAmelCase_   :				int								= MgpstrProcessor(tokenizer=_snake_case    ,			image_processor=_snake_case       )
        processor.save_pretrained(self.tmpdirname       )
        lowerCAmelCase_   :				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      SCREAMING_SNAKE_CASE__ (      self				:      int       ):
        lowerCAmelCase_   :				Dict								= self.get_tokenizer()
        lowerCAmelCase_   :				Dict								= self.get_image_processor()

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

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

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

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

        lowerCAmelCase_   :				Tuple								= self.prepare_image_inputs()

        lowerCAmelCase_   :				Any								= image_processor(_snake_case    ,			return_tensors='np'       )
        lowerCAmelCase_   :				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      SCREAMING_SNAKE_CASE__ (      self				:      List[str]       ):
        lowerCAmelCase_   :				List[str]								= self.get_image_processor()
        lowerCAmelCase_   :				Any								= self.get_tokenizer()

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

        lowerCAmelCase_   :				Tuple								= '''test'''

        lowerCAmelCase_   :				str								= processor(text=_snake_case       )

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



      def      SCREAMING_SNAKE_CASE__ (      self				:      int       ):
        lowerCAmelCase_   :				Any								= self.get_image_processor()
        lowerCAmelCase_   :				Optional[int]								= self.get_tokenizer()

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

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

        lowerCAmelCase_   :				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      SCREAMING_SNAKE_CASE__ (      self				:      Tuple       ):
        lowerCAmelCase_   :				Optional[int]								= self.get_image_processor()
        lowerCAmelCase_   :				Dict								= self.get_tokenizer()

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

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

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

        self.assertListEqual(_snake_case    ,			_snake_case       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Dict       ):
        lowerCAmelCase_   :				int								= self.get_image_processor()
        lowerCAmelCase_   :				Union[str, Any]								= self.get_tokenizer()

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

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

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

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





      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[Any]       ):
        lowerCAmelCase_   :				Optional[int]								= self.get_image_processor()
        lowerCAmelCase_   :				Tuple								= self.get_tokenizer()

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

        lowerCAmelCase_   :				Tuple								= torch.randn(1    ,			2_7    ,			3_8       )
        lowerCAmelCase_   :				int								= torch.randn(1    ,			2_7    ,			5_0_2_5_7       )
        lowerCAmelCase_   :				List[Any]								= torch.randn(1    ,			2_7    ,			3_0_5_2_2       )

        lowerCAmelCase_   :				Any								= 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"""







import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script
@require_cpu
class        __A       (	unittest.TestCase    ):







		'''simple docstring'''





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






				"""simple docstring"""



				debug_launcher(test_script.main						)







		def 					UpperCAmelCase    (	self						:  Dict						)					->		Tuple:






				"""simple docstring"""



				debug_launcher(test_ops.main						)
