





import json
import os
import unittest

from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors





@require_tokenizers
class  lowerCAmelCase							(       lowercase_							,							unittest.TestCase ):
  __lowerCamelCase		=      MvpTokenizer
  __lowerCamelCase		=      MvpTokenizerFast
  __lowerCamelCase		=      True
  __lowerCamelCase		=      filter_roberta_detectors







  def   UpperCAmelCase					(      self  :List[str] ):






     '''simple docstring'''





     super().setUp()
     lowercase__			       =  [
         "l",
         "o",
         "w",
         "e",
         "r",
         "s",
         "t",
         "i",
         "d",
         "n",
         "\u0120",
         "\u0120l",
         "\u0120n",
         "\u0120lo",
         "\u0120low",
         "er",
         "\u0120lowest",
         "\u0120newer",
         "\u0120wider",
         "<unk>",
     ]
     lowercase__			       =  dict(zip(_lowercase   ,							range(len(_lowercase ) ) ) )
     lowercase__			       =  ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
     lowercase__			       =  {"unk_token": "<unk>"}

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







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							**_lowercase  :Optional[int] ):






     '''simple docstring'''





     kwargs.update(self.special_tokens_map )
     return self.tokenizer_class.from_pretrained(self.tmpdirname   ,							**_lowercase )







  def   UpperCAmelCase					(      self  :Tuple   ,							**_lowercase  :Dict ):






     '''simple docstring'''





     kwargs.update(self.special_tokens_map )
     return self.rust_tokenizer_class.from_pretrained(self.tmpdirname   ,							**_lowercase )







  def   UpperCAmelCase					(      self  :Any   ,							_lowercase  :Tuple ):






     '''simple docstring'''





     return "lower newer", "lower newer"







  @cached_property
  def   UpperCAmelCase					(      self  :int ):






     '''simple docstring'''





     return MvpTokenizer.from_pretrained("RUCAIBox/mvp" )







  @cached_property
  def   UpperCAmelCase					(      self  :List[Any] ):






     '''simple docstring'''





     return MvpTokenizerFast.from_pretrained("RUCAIBox/mvp" )







  @require_torch
  def   UpperCAmelCase					(      self  :Dict ):






     '''simple docstring'''





     lowercase__			       =  ["A long paragraph for summarization.", "Another paragraph for summarization."]
     lowercase__			       =  [0, 2_50, 2_51, 1_78_18, 13, 3_91_86, 19_38, 4, 2]

     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        lowercase__			       =  tokenizer(_lowercase   ,							max_length=len(_lowercase )   ,							padding=_lowercase   ,							return_tensors="pt" )
        self.assertIsInstance(_lowercase   ,							_lowercase )

        self.assertEqual((2, 9)   ,							batch.input_ids.shape )
        self.assertEqual((2, 9)   ,							batch.attention_mask.shape )
        lowercase__			       =  batch.input_ids.tolist()[0]
        self.assertListEqual(_lowercase   ,							_lowercase )
        # Test that special tokens are reset







  @require_torch
  def   UpperCAmelCase					(      self  :Optional[Any] ):






     '''simple docstring'''





     lowercase__			       =  ["A long paragraph for summarization.", "Another paragraph for summarization."]
     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        lowercase__			       =  tokenizer(_lowercase   ,							padding=_lowercase   ,							return_tensors="pt" )
        # check if input_ids are returned and no labels
        self.assertIn("input_ids"   ,							_lowercase )
        self.assertIn("attention_mask"   ,							_lowercase )
        self.assertNotIn("labels"   ,							_lowercase )
        self.assertNotIn("decoder_attention_mask"   ,							_lowercase )







  @require_torch
  def   UpperCAmelCase					(      self  :str ):






     '''simple docstring'''





     lowercase__			       =  [
         "Summary of the text.",
         "Another summary.",
     ]
     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        lowercase__			       =  tokenizer(text_target=_lowercase   ,							max_length=32   ,							padding="max_length"   ,							return_tensors="pt" )
        self.assertEqual(32   ,							targets["input_ids"].shape[1] )







  @require_torch
  def   UpperCAmelCase					(      self  :Dict ):






     '''simple docstring'''





     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        lowercase__			       =  tokenizer(
            ["I am a small frog" * 10_24, "I am a small frog"]   ,							padding=_lowercase   ,							truncation=_lowercase   ,							return_tensors="pt" )
        self.assertIsInstance(_lowercase   ,							_lowercase )
        self.assertEqual(batch.input_ids.shape   ,							(2, 10_24) )







  @require_torch
  def   UpperCAmelCase					(      self  :List[str] ):






     '''simple docstring'''





     lowercase__			       =  ["A long paragraph for summarization."]
     lowercase__			       =  [
         "Summary of the text.",
     ]
     for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
        lowercase__			       =  tokenizer(_lowercase   ,							text_target=_lowercase   ,							return_tensors="pt" )
        lowercase__			       =  inputs["input_ids"]
        lowercase__			       =  inputs["labels"]
        self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item() )
        self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item() )
        self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item() )
        self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item() )







  def   UpperCAmelCase					(      self  :Dict ):






     '''simple docstring'''





     pass







  def   UpperCAmelCase					(      self  :List[Any] ):






     '''simple docstring'''





     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
           lowercase__			       =  self.rust_tokenizer_class.from_pretrained(_lowercase   ,							**_lowercase )
           lowercase__			       =  self.tokenizer_class.from_pretrained(_lowercase   ,							**_lowercase )
           lowercase__			       =  "A, <mask> AllenNLP sentence."
           lowercase__			       =  tokenizer_r.encode_plus(_lowercase   ,							add_special_tokens=_lowercase   ,							return_token_type_ids=_lowercase )
           lowercase__			       =  tokenizer_p.encode_plus(_lowercase   ,							add_special_tokens=_lowercase   ,							return_token_type_ids=_lowercase )

           # token_type_ids should put 0 everywhere
           self.assertEqual(sum(tokens_r["token_type_ids"] )   ,							sum(tokens_p["token_type_ids"] ) )

           # attention_mask should put 1 everywhere, so sum over length should be 1
           self.assertEqual(
               sum(tokens_r["attention_mask"] ) / len(tokens_r["attention_mask"] )   ,							sum(tokens_p["attention_mask"] ) / len(tokens_p["attention_mask"] )   ,							)

           lowercase__			       =  tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"] )
           lowercase__			       =  tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"] )

           # Rust correctly handles the space before the mask while python doesnt
           self.assertSequenceEqual(tokens_p["input_ids"]   ,							[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )
           self.assertSequenceEqual(tokens_r["input_ids"]   ,							[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )

           self.assertSequenceEqual(
               _lowercase   ,							["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"] )
           self.assertSequenceEqual(
               _lowercase   ,							["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"] )













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  lowerCAmelCase							(       unittest.TestCase ):
  __lowerCamelCase		=      ViTImageProcessor if is_vision_available() else None







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






     '''simple docstring'''





     return self.image_processor_tester.prepare_image_processor_dict()







  def   UpperCAmelCase					(      self  :Optional[int] ):






     '''simple docstring'''





     lowercase__			       =  (3, 32, 1_28)
     lowercase__			       =  tempfile.mkdtemp()

     # fmt: off
     lowercase__			       =  ["[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__			       =  dict(zip(_lowercase   ,							range(len(_lowercase ) ) ) )

     lowercase__			       =  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(_lowercase ) + "\n" )

     lowercase__			       =  {
         "do_normalize": False,
         "do_resize": True,
         "image_processor_type": "ViTImageProcessor",
         "resample": 3,
         "size": {"height": 32, "width": 1_28},
     }
     lowercase__			       =  os.path.join(self.tmpdirname   ,							_lowercase )
     with open(self.image_processor_file   ,							"w"   ,							encoding="utf-8" ) as fp:
        json.dump(_lowercase   ,							_lowercase )







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							**_lowercase  :str ):






     '''simple docstring'''





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







  def   UpperCAmelCase					(      self  :List[Any]   ,							**_lowercase  :List[str] ):






     '''simple docstring'''





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







  def   UpperCAmelCase					(      self  :List[Any] ):






     '''simple docstring'''





     shutil.rmtree(self.tmpdirname )







  def   UpperCAmelCase					(      self  :str ):






     '''simple docstring'''





     lowercase__			       =  np.random.randint(2_55   ,							size=(3, 30, 4_00)   ,							dtype=np.uinta )

     lowercase__			       =  Image.fromarray(np.moveaxis(_lowercase   ,							0   ,							-1 ) )

     return image_input







  def   UpperCAmelCase					(      self  :List[Any] ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )
     processor.save_pretrained(self.tmpdirname )
     lowercase__			       =  MgpstrProcessor.from_pretrained(self.tmpdirname   ,							use_fast=_lowercase )

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

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







  def   UpperCAmelCase					(      self  :Optional[Any] ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )
     processor.save_pretrained(self.tmpdirname )

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

     lowercase__			       =  MgpstrProcessor.from_pretrained(
         self.tmpdirname   ,							bos_token="(BOS)"   ,							eos_token="(EOS)"   ,							do_normalize=_lowercase   ,							padding_value=1.0 )

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

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







  def   UpperCAmelCase					(      self  :List[Any] ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )

     lowercase__			       =  self.prepare_image_inputs()

     lowercase__			       =  image_processor(_lowercase   ,							return_tensors="np" )
     lowercase__			       =  processor(images=_lowercase   ,							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  :Optional[Any] ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )

     lowercase__			       =  "test"

     lowercase__			       =  processor(text=_lowercase )

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







  def   UpperCAmelCase					(      self  :Optional[int] ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )

     lowercase__			       =  "test"
     lowercase__			       =  self.prepare_image_inputs()

     lowercase__			       =  processor(text=_lowercase   ,							images=_lowercase )

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

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







  def   UpperCAmelCase					(      self  :Tuple ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )

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

     lowercase__			       =  processor.char_decode(_lowercase )
     lowercase__			       =  tokenizer.batch_decode(_lowercase )
     lowercase__			       =  [seq.replace(" "   ,							"" ) for seq in decoded_tok]

     self.assertListEqual(_lowercase   ,							_lowercase )







  def   UpperCAmelCase					(      self  :str ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )

     lowercase__			       =  None
     lowercase__			       =  self.prepare_image_inputs()

     lowercase__			       =  processor(text=_lowercase   ,							images=_lowercase )

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







  def   UpperCAmelCase					(      self  :List[str] ):






     '''simple docstring'''





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

     lowercase__			       =  MgpstrProcessor(tokenizer=_lowercase   ,							image_processor=_lowercase )

     lowercase__			       =  torch.randn(1   ,							27   ,							38 )
     lowercase__			       =  torch.randn(1   ,							27   ,							5_02_57 )
     lowercase__			       =  torch.randn(1   ,							27   ,							3_05_22 )

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

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






