
import unittest

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device


if is_torch_available():
			import torch

			from transformers import AutoModelForImageClassification

if is_vision_available():
			from transformers import AutoImageProcessor




@require_torch
@require_vision
class        SCREAMING_SNAKE_CASE__					(     unittest.TestCase ):





	'''simple docstring'''



	@slow
	def 			A							(  self     :   Any     ):


				'''simple docstring'''


				_snake_case          =      AutoImageProcessor.from_pretrained('microsoft/dit-base-finetuned-rvlcdip'     )
				_snake_case          =      AutoModelForImageClassification.from_pretrained('microsoft/dit-base-finetuned-rvlcdip'     )
				model.to(lowercase     )

				from datasets import load_dataset

				_snake_case          =      load_dataset('nielsr/rvlcdip-demo'     )

				_snake_case          =      dataset['train'][0]['image'].convert('RGB'     )

				_snake_case          =      image_processor(lowercase      ,  return_tensors='pt'     ).to(lowercase     )

				# forward pass
				with torch.no_grad():
							_snake_case          =      model(**lowercase     )
							_snake_case          =      outputs.logits

				_snake_case          =      torch.Size((1, 16)     )
				self.assertEqual(logits.shape      ,  lowercase     )

				_snake_case          =      torch.tensor(
				    [-0.4158, -0.4092, -0.4347]      ,  device=lowercase      ,  dtype=torch.float      ,  )
				self.assertTrue(torch.allclose(logits[0, :3]      ,  lowercase      ,  atol=1E-4     )     )

import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase							,unittest.TestCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		Tuple          = RobertaTokenizer
	_UpperCAmelCase	:		Dict          = RobertaTokenizerFast
	_UpperCAmelCase	:		List[Any]          = True
	_UpperCAmelCase	:		Any          = {"cls_token": "<s>"}



	def 			A							(  self     :   Dict     ):


				'''simple docstring'''


				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				_snake_case          =      [
				    'l',
				    'o',
				    'w',
				    'e',
				    'r',
				    's',
				    't',
				    'i',
				    'd',
				    'n',
				    '\u0120',
				    '\u0120l',
				    '\u0120n',
				    '\u0120lo',
				    '\u0120low',
				    'er',
				    '\u0120lowest',
				    '\u0120newer',
				    '\u0120wider',
				    '<unk>',
				]
				_snake_case          =      dict(zip(lowercase      ,  range(len(lowercase     )     )     )     )
				_snake_case          =      ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
				_snake_case          =      {'unk_token': '<unk>'}

				_snake_case          =      os.path.join(self.tmpdirname      ,  VOCAB_FILES_NAMES['vocab_file']     )
				_snake_case          =      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 			A							(  self     :   List[str]      ,  **lowercase     :   List[str]     ):


				'''simple docstring'''


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



	def 			A							(  self     :   List[str]      ,  **lowercase     :   int     ):


				'''simple docstring'''


				kwargs.update(self.special_tokens_map     )
				return RobertaTokenizerFast.from_pretrained(self.tmpdirname      ,  **lowercase     )



	def 			A							(  self     :   Optional[Any]      ,  lowercase     :   List[str]     ):


				'''simple docstring'''


				_snake_case          =      'lower newer'
				_snake_case          =      'lower newer'
				return input_text, output_text



	def 			A							(  self     :   str     ):


				'''simple docstring'''


				_snake_case          =      self.tokenizer_class(self.vocab_file      ,  self.merges_file      ,  **self.special_tokens_map     )
				_snake_case          =      'lower newer'
				_snake_case          =      ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
				_snake_case          =      tokenizer.tokenize(lowercase     )  # , add_prefix_space=True)
				self.assertListEqual(lowercase      ,  lowercase     )

				_snake_case          =      tokens + [tokenizer.unk_token]
				_snake_case          =      [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase     )      ,  lowercase     )



	def 			A							(  self     :   List[str]     ):


				'''simple docstring'''


				_snake_case          =      self.get_tokenizer()

				self.assertListEqual(tokenizer.encode('Hello world!'      ,  add_special_tokens=lowercase     )      ,  [0, 31_414, 232, 328, 2]     )
				self.assertListEqual(
				    tokenizer.encode('Hello world! cécé herlolip 418'      ,  add_special_tokens=lowercase     )      ,  [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]      ,  )



	@slow
	def 			A							(  self     :   Optional[int]     ):


				'''simple docstring'''


				_snake_case          =      self.tokenizer_class.from_pretrained('roberta-base'     )

				_snake_case          =      tokenizer.encode('sequence builders'      ,  add_special_tokens=lowercase     )
				_snake_case          =      tokenizer.encode('multi-sequence build'      ,  add_special_tokens=lowercase     )

				_snake_case          =      tokenizer.encode(
				    'sequence builders'      ,  add_special_tokens=lowercase      ,  add_prefix_space=lowercase     )
				_snake_case          =      tokenizer.encode(
				    'sequence builders'      ,  'multi-sequence build'      ,  add_special_tokens=lowercase      ,  add_prefix_space=lowercase     )

				_snake_case          =      tokenizer.build_inputs_with_special_tokens(lowercase     )
				_snake_case          =      tokenizer.build_inputs_with_special_tokens(lowercase      ,  lowercase     )

				assert encoded_sentence == encoded_text_from_decode
				assert encoded_pair == encoded_pair_from_decode



	def 			A							(  self     :   int     ):


				'''simple docstring'''


				_snake_case          =      self.get_tokenizer()

				_snake_case          =      'Encode this sequence.'
				_snake_case          =      tokenizer.byte_encoder[' '.encode('utf-8'     )[0]]

				# Testing encoder arguments
				_snake_case          =      tokenizer.encode(lowercase      ,  add_special_tokens=lowercase      ,  add_prefix_space=lowercase     )
				_snake_case          =      tokenizer.convert_ids_to_tokens(encoded[0]     )[0]
				self.assertNotEqual(lowercase      ,  lowercase     )

				_snake_case          =      tokenizer.encode(lowercase      ,  add_special_tokens=lowercase      ,  add_prefix_space=lowercase     )
				_snake_case          =      tokenizer.convert_ids_to_tokens(encoded[0]     )[0]
				self.assertEqual(lowercase      ,  lowercase     )

				tokenizer.add_special_tokens({'bos_token': '<s>'}     )
				_snake_case          =      tokenizer.encode(lowercase      ,  add_special_tokens=lowercase     )
				_snake_case          =      tokenizer.convert_ids_to_tokens(encoded[1]     )[0]
				self.assertNotEqual(lowercase      ,  lowercase     )

				# Testing spaces after special tokens
				_snake_case          =      '<mask>'
				tokenizer.add_special_tokens(
				    {'mask_token': AddedToken(lowercase      ,  lstrip=lowercase      ,  rstrip=lowercase     )}     )  # mask token has a left space
				_snake_case          =      tokenizer.convert_tokens_to_ids(lowercase     )

				_snake_case          =      'Encode <mask> sequence'
				_snake_case          =      'Encode <mask>sequence'

				_snake_case          =      tokenizer.encode(lowercase     )
				_snake_case          =      encoded.index(lowercase     )
				_snake_case          =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]     )[0]
				self.assertEqual(lowercase      ,  lowercase     )

				_snake_case          =      tokenizer.encode(lowercase     )
				_snake_case          =      encoded.index(lowercase     )
				_snake_case          =      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]     )[0]
				self.assertNotEqual(lowercase      ,  lowercase     )



	def 			A							(  self     :   List[str]     ):


				'''simple docstring'''


				pass



	def 			A							(  self     :   List[str]     ):


				'''simple docstring'''


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

										_snake_case          =      tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']     )
										_snake_case          =      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, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]     )
										self.assertSequenceEqual(tokens_r['input_ids']      ,  [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]     )

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



	def 			A							(  self     :   str     ):


				'''simple docstring'''


				for trim_offsets, add_prefix_space in itertools.product([True, False]      ,  repeat=2     ):
							_snake_case          =      self.rust_tokenizer_class.from_pretrained(
							    self.tmpdirname      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )

							_snake_case          =      json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()     )
							_snake_case          =      json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()     )

							self.assertEqual(pre_tokenizer_state['add_prefix_space']      ,  lowercase     )

							self.assertEqual(post_processor_state['add_prefix_space']      ,  lowercase     )
							self.assertEqual(post_processor_state['trim_offsets']      ,  lowercase     )





	def 			A							(  self     :   Union[str, Any]     ):


				'''simple docstring'''


				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
										_snake_case          =      'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
										_snake_case          =      f'''{text_of_1_token} {text_of_1_token}'''

										_snake_case          =      self.rust_tokenizer_class.from_pretrained(
										    lowercase      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )
										_snake_case          =      tokenizer_r(lowercase      ,  return_offsets_mapping=lowercase      ,  add_special_tokens=lowercase     )
										self.assertEqual(encoding.offset_mapping[0]      ,  (0, len(lowercase     ))     )
										self.assertEqual(
										    encoding.offset_mapping[1]      ,  (len(lowercase     ) + 1, len(lowercase     ) + 1 + len(lowercase     ))      ,  )

										_snake_case          =      self.rust_tokenizer_class.from_pretrained(
										    lowercase      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )
										_snake_case          =      tokenizer_r(lowercase      ,  return_offsets_mapping=lowercase      ,  add_special_tokens=lowercase     )
										self.assertEqual(encoding.offset_mapping[0]      ,  (0, len(lowercase     ))     )
										self.assertEqual(
										    encoding.offset_mapping[1]      ,  (len(lowercase     ) + 1, len(lowercase     ) + 1 + len(lowercase     ))      ,  )

										_snake_case          =      self.rust_tokenizer_class.from_pretrained(
										    lowercase      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )
										_snake_case          =      tokenizer_r(lowercase      ,  return_offsets_mapping=lowercase      ,  add_special_tokens=lowercase     )
										self.assertEqual(encoding.offset_mapping[0]      ,  (0, len(lowercase     ))     )
										self.assertEqual(
										    encoding.offset_mapping[1]      ,  (len(lowercase     ), len(lowercase     ) + 1 + len(lowercase     ))      ,  )

										_snake_case          =      self.rust_tokenizer_class.from_pretrained(
										    lowercase      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )
										_snake_case          =      tokenizer_r(lowercase      ,  return_offsets_mapping=lowercase      ,  add_special_tokens=lowercase     )
										self.assertEqual(encoding.offset_mapping[0]      ,  (0, len(lowercase     ))     )
										self.assertEqual(
										    encoding.offset_mapping[1]      ,  (len(lowercase     ), len(lowercase     ) + 1 + len(lowercase     ))      ,  )

										_snake_case          =      f''' {text}'''

										# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
										#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
										# )
										# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
										# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
										# self.assertEqual(
										#     encoding.offset_mapping[1],
										#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
										# )

										_snake_case          =      self.rust_tokenizer_class.from_pretrained(
										    lowercase      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )
										_snake_case          =      tokenizer_r(lowercase      ,  return_offsets_mapping=lowercase      ,  add_special_tokens=lowercase     )
										self.assertEqual(encoding.offset_mapping[0]      ,  (1, 1 + len(lowercase     ))     )
										self.assertEqual(
										    encoding.offset_mapping[1]      ,  (1 + len(lowercase     ) + 1, 1 + len(lowercase     ) + 1 + len(lowercase     ))      ,  )

										_snake_case          =      self.rust_tokenizer_class.from_pretrained(
										    lowercase      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )
										_snake_case          =      tokenizer_r(lowercase      ,  return_offsets_mapping=lowercase      ,  add_special_tokens=lowercase     )
										self.assertEqual(encoding.offset_mapping[0]      ,  (0, 1 + len(lowercase     ))     )
										self.assertEqual(
										    encoding.offset_mapping[1]      ,  (1 + len(lowercase     ), 1 + len(lowercase     ) + 1 + len(lowercase     ))      ,  )

										_snake_case          =      self.rust_tokenizer_class.from_pretrained(
										    lowercase      ,  use_fast=lowercase      ,  add_prefix_space=lowercase      ,  trim_offsets=lowercase     )
										_snake_case          =      tokenizer_r(lowercase      ,  return_offsets_mapping=lowercase      ,  add_special_tokens=lowercase     )
										self.assertEqual(encoding.offset_mapping[0]      ,  (0, 1 + len(lowercase     ))     )
										self.assertEqual(
										    encoding.offset_mapping[1]      ,  (1 + len(lowercase     ), 1 + len(lowercase     ) + 1 + len(lowercase     ))      ,  )