





'''simple docstring'''

import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class       UpperCAmelCase (						_lowercase			,       unittest.TestCase  ):
		UpperCAmelCase					:	Optional[int] 			=		MobileBertTokenizer
		UpperCAmelCase					:	Optional[int] 			=		MobileBertTokenizerFast
		UpperCAmelCase					:	str 			=		True
		UpperCAmelCase					:	int 			=		True
		UpperCAmelCase					:	Optional[Any] 			=		filter_non_english
		UpperCAmelCase					:	Optional[Any] 			=		'''google/mobilebert-uncased'''




		def 				UpperCAmelCase__   (self      :	List[str]				)					-> List[Any]:
						super().setUp()

						lowercase         = [
						    "[UNK]",
						    "[CLS]",
						    "[SEP]",
						    "[PAD]",
						    "[MASK]",
						    "want",
						    "##want",
						    "##ed",
						    "wa",
						    "un",
						    "runn",
						    "##ing",
						    ",",
						    "low",
						    "lowest",
						]
						lowercase         = os.path.join(self.tmpdirname							,			VOCAB_FILES_NAMES["vocab_file"]				)
						with open(self.vocab_file							,			"w"							,			encoding="utf-8"				) as vocab_writer:
										vocab_writer.write("".join([x + "\n" for x in vocab_tokens]				)				)

						lowercase         = [
						    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
						    for tokenizer_def in self.tokenizers_list
						]




		def 				UpperCAmelCase__   (self      :	Dict							,			A__      :	str				)					-> str:
						lowercase         = "UNwant\u00E9d,running"
						lowercase         = "unwanted, running"
						return input_text, output_text




		def 				UpperCAmelCase__   (self      :	Dict				)					-> Dict:
						lowercase         = self.tokenizer_class(self.vocab_file				)

						lowercase         = tokenizer.tokenize("UNwant\u00E9d,running"				)
						self.assertListEqual(A__							,			["un", "##want", "##ed", ",", "runn", "##ing"]				)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(A__				)							,			[9, 6, 7, 1_2, 1_0, 1_1]				)




		def 				UpperCAmelCase__   (self      :	Dict				)					-> List[str]:
						if not self.test_rust_tokenizer:
										return

						lowercase         = self.get_tokenizer()
						lowercase         = self.get_rust_tokenizer()

						lowercase         = "UNwant\u00E9d,running"

						lowercase         = tokenizer.tokenize(A__				)
						lowercase         = rust_tokenizer.tokenize(A__				)
						self.assertListEqual(A__							,			A__				)

						lowercase         = tokenizer.encode(A__							,			add_special_tokens=A__				)
						lowercase         = rust_tokenizer.encode(A__							,			add_special_tokens=A__				)
						self.assertListEqual(A__							,			A__				)

						lowercase         = self.get_rust_tokenizer()
						lowercase         = tokenizer.encode(A__				)
						lowercase         = rust_tokenizer.encode(A__				)
						self.assertListEqual(A__							,			A__				)

						# With lower casing
						lowercase         = self.get_tokenizer(do_lower_case=A__				)
						lowercase         = self.get_rust_tokenizer(do_lower_case=A__				)

						lowercase         = "UNwant\u00E9d,running"

						lowercase         = tokenizer.tokenize(A__				)
						lowercase         = rust_tokenizer.tokenize(A__				)
						self.assertListEqual(A__							,			A__				)

						lowercase         = tokenizer.encode(A__							,			add_special_tokens=A__				)
						lowercase         = rust_tokenizer.encode(A__							,			add_special_tokens=A__				)
						self.assertListEqual(A__							,			A__				)

						lowercase         = self.get_rust_tokenizer()
						lowercase         = tokenizer.encode(A__				)
						lowercase         = rust_tokenizer.encode(A__				)
						self.assertListEqual(A__							,			A__				)




		def 				UpperCAmelCase__   (self      :	List[str]				)					-> Union[str, Any]:
						lowercase         = BasicTokenizer()

						self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"				)							,			["ah", "\u535A", "\u63A8", "zz"]				)




		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> List[str]:
						lowercase         = BasicTokenizer(do_lower_case=A__				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "				)							,			["hello", "!", "how", "are", "you", "?"]				)
						self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)							,			["hello"]				)




		def 				UpperCAmelCase__   (self      :	Any				)					-> Tuple:
						lowercase         = BasicTokenizer(do_lower_case=A__							,			strip_accents=A__				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)							,			["hällo", "!", "how", "are", "you", "?"]				)
						self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)							,			["h\u00E9llo"]				)




		def 				UpperCAmelCase__   (self      :	str				)					-> List[str]:
						lowercase         = BasicTokenizer(do_lower_case=A__							,			strip_accents=A__				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)							,			["hallo", "!", "how", "are", "you", "?"]				)
						self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)							,			["hello"]				)




		def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> Optional[int]:
						lowercase         = BasicTokenizer(do_lower_case=A__				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)							,			["hallo", "!", "how", "are", "you", "?"]				)
						self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)							,			["hello"]				)




		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> Dict:
						lowercase         = BasicTokenizer(do_lower_case=A__				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "				)							,			["HeLLo", "!", "how", "Are", "yoU", "?"]				)




		def 				UpperCAmelCase__   (self      :	int				)					-> Union[str, Any]:
						lowercase         = BasicTokenizer(do_lower_case=A__							,			strip_accents=A__				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)							,			["HäLLo", "!", "how", "Are", "yoU", "?"]				)




		def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> List[str]:
						lowercase         = BasicTokenizer(do_lower_case=A__							,			strip_accents=A__				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "				)							,			["HaLLo", "!", "how", "Are", "yoU", "?"]				)




		def 				UpperCAmelCase__   (self      :	Any				)					-> Any:
						lowercase         = BasicTokenizer(do_lower_case=A__							,			never_split=["[UNK]"]				)

						self.assertListEqual(
						    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"				)							,			["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]				)




		def 				UpperCAmelCase__   (self      :	Tuple				)					-> List[Any]:
						lowercase         = ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

						lowercase         = {}
						for i, token in enumerate(A__				):
										lowercase         = i
						lowercase         = WordpieceTokenizer(vocab=A__							,			unk_token="[UNK]"				)

						self.assertListEqual(tokenizer.tokenize(""				)							,			[]				)

						self.assertListEqual(tokenizer.tokenize("unwanted running"				)							,			["un", "##want", "##ed", "runn", "##ing"]				)

						self.assertListEqual(tokenizer.tokenize("unwantedX running"				)							,			["[UNK]", "runn", "##ing"]				)




		def 				UpperCAmelCase__   (self      :	List[str]				)					-> int:
						self.assertTrue(_is_whitespace(" "				)				)
						self.assertTrue(_is_whitespace("\t"				)				)
						self.assertTrue(_is_whitespace("\r"				)				)
						self.assertTrue(_is_whitespace("\n"				)				)
						self.assertTrue(_is_whitespace("\u00A0"				)				)

						self.assertFalse(_is_whitespace("A"				)				)
						self.assertFalse(_is_whitespace("-"				)				)




		def 				UpperCAmelCase__   (self      :	List[str]				)					-> int:
						self.assertTrue(_is_control("\u0005"				)				)

						self.assertFalse(_is_control("A"				)				)
						self.assertFalse(_is_control(" "				)				)
						self.assertFalse(_is_control("\t"				)				)
						self.assertFalse(_is_control("\r"				)				)




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> List[Any]:
						self.assertTrue(_is_punctuation("-"				)				)
						self.assertTrue(_is_punctuation("$"				)				)
						self.assertTrue(_is_punctuation("`"				)				)
						self.assertTrue(_is_punctuation("."				)				)

						self.assertFalse(_is_punctuation("A"				)				)
						self.assertFalse(_is_punctuation(" "				)				)




		def 				UpperCAmelCase__   (self      :	int				)					-> Optional[Any]:
						lowercase         = self.get_tokenizer()
						lowercase         = self.get_rust_tokenizer()

						# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
						self.assertListEqual([tokenizer.tokenize(A__				) for t in ["Test", "\xad", "test"]]							,			[["[UNK]"], [], ["[UNK]"]]				)

						self.assertListEqual(
						    [rust_tokenizer.tokenize(A__				) for t in ["Test", "\xad", "test"]]							,			[["[UNK]"], [], ["[UNK]"]]				)




		@slow
		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Optional[int]:
						lowercase         = self.tokenizer_class.from_pretrained("google/mobilebert-uncased"				)

						lowercase         = tokenizer.encode("sequence builders"							,			add_special_tokens=A__				)
						lowercase         = tokenizer.encode("multi-sequence build"							,			add_special_tokens=A__				)

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

						assert encoded_sentence == [1_0_1] + text + [1_0_2]
						assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]




		def 				UpperCAmelCase__   (self      :	Dict				)					-> Optional[int]:
						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(A__							,			**A__				)

														lowercase         = f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
														lowercase         = tokenizer_r.encode_plus(
														    A__							,			return_attention_mask=A__							,			return_token_type_ids=A__							,			return_offsets_mapping=A__							,			add_special_tokens=A__							,			)

														lowercase         = tokenizer_r.do_lower_case if hasattr(A__							,			"do_lower_case"				) else False
														lowercase         = (
														    [
														        ((0, 0), tokenizer_r.cls_token),
														        ((0, 1), "A"),
														        ((1, 2), ","),
														        ((3, 5), "na"),
														        ((5, 6), "##ï"),
														        ((6, 8), "##ve"),
														        ((9, 1_5), tokenizer_r.mask_token),
														        ((1_6, 2_1), "Allen"),
														        ((2_1, 2_3), "##NL"),
														        ((2_3, 2_4), "##P"),
														        ((2_5, 3_3), "sentence"),
														        ((3_3, 3_4), "."),
														        ((0, 0), tokenizer_r.sep_token),
														    ]
														    if not do_lower_case
														    else [
														        ((0, 0), tokenizer_r.cls_token),
														        ((0, 1), "a"),
														        ((1, 2), ","),
														        ((3, 8), "naive"),
														        ((9, 1_5), tokenizer_r.mask_token),
														        ((1_6, 2_1), "allen"),
														        ((2_1, 2_3), "##nl"),
														        ((2_3, 2_4), "##p"),
														        ((2_5, 3_3), "sentence"),
														        ((3_3, 3_4), "."),
														        ((0, 0), tokenizer_r.sep_token),
														    ]
														)

														self.assertEqual(
														    [e[1] for e in expected_results]							,			tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]				)				)
														self.assertEqual([e[0] for e in expected_results]							,			tokens["offset_mapping"]				)





		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> Optional[int]:
						lowercase         = ["的", "人", "有"]
						lowercase         = "".join(A__				)
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'				):
														lowercase         = True
														lowercase         = self.tokenizer_class.from_pretrained(A__							,			**A__				)
														lowercase         = self.rust_tokenizer_class.from_pretrained(A__							,			**A__				)

														lowercase         = tokenizer_p.encode(A__							,			add_special_tokens=A__				)
														lowercase         = tokenizer_r.encode(A__							,			add_special_tokens=A__				)

														lowercase         = tokenizer_r.convert_ids_to_tokens(A__				)
														lowercase         = tokenizer_p.convert_ids_to_tokens(A__				)

														# it is expected that each Chinese character is not preceded by "##"
														self.assertListEqual(A__							,			A__				)
														self.assertListEqual(A__							,			A__				)

														lowercase         = False
														lowercase         = self.rust_tokenizer_class.from_pretrained(A__							,			**A__				)
														lowercase         = self.tokenizer_class.from_pretrained(A__							,			**A__				)

														lowercase         = tokenizer_r.encode(A__							,			add_special_tokens=A__				)
														lowercase         = tokenizer_p.encode(A__							,			add_special_tokens=A__				)

														lowercase         = tokenizer_r.convert_ids_to_tokens(A__				)
														lowercase         = tokenizer_p.convert_ids_to_tokens(A__				)

														# it is expected that only the first Chinese character is not preceded by "##".
														lowercase         = [
														    f'##{token}' if idx != 0 else token for idx, token in enumerate(A__				)
														]
														self.assertListEqual(A__							,			A__				)
														self.assertListEqual(A__							,			A__				)











'''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  ):
		UpperCAmelCase					:	Optional[int] 			=		ViTImageProcessor if is_vision_available() else None




		@property
		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> Optional[Any]:
						return self.image_processor_tester.prepare_image_processor_dict()




		def 				UpperCAmelCase__   (self      :	str				)					-> int:
						lowercase         = (3, 3_2, 1_2_8)
						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(A__							,			range(len(A__				)				)				)				)

						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(A__				) + "\n"				)

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




		def 				UpperCAmelCase__   (self      :	Dict							,			**A__      :	List[Any]				)					-> Union[str, Any]:
						return MgpstrTokenizer.from_pretrained(self.tmpdirname							,			**A__				)




		def 				UpperCAmelCase__   (self      :	Any							,			**A__      :	Tuple				)					-> Tuple:
						return ViTImageProcessor.from_pretrained(self.tmpdirname							,			**A__				)




		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> int:
						shutil.rmtree(self.tmpdirname				)




		def 				UpperCAmelCase__   (self      :	str				)					-> List[str]:
						lowercase         = np.random.randint(2_5_5							,			size=(3, 3_0, 4_0_0)							,			dtype=np.uinta				)

						lowercase         = Image.fromarray(np.moveaxis(A__							,			0							,			-1				)				)

						return image_input




		def 				UpperCAmelCase__   (self      :	str				)					-> List[Any]:
						lowercase         = self.get_tokenizer()
						lowercase         = self.get_image_processor()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)
						processor.save_pretrained(self.tmpdirname				)
						lowercase         = MgpstrProcessor.from_pretrained(self.tmpdirname							,			use_fast=A__				)

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

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




		def 				UpperCAmelCase__   (self      :	Any				)					-> Optional[int]:
						lowercase         = self.get_tokenizer()
						lowercase         = self.get_image_processor()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)
						processor.save_pretrained(self.tmpdirname				)

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

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

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

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




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> List[Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = self.prepare_image_inputs()

						lowercase         = image_processor(A__							,			return_tensors="np"				)
						lowercase         = processor(images=A__							,			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[Any]				)					-> Union[str, Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = "test"

						lowercase         = processor(text=A__				)

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




		def 				UpperCAmelCase__   (self      :	int				)					-> Optional[int]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

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

						lowercase         = processor(text=A__							,			images=A__				)

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

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




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Union[str, Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						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(A__				)
						lowercase         = tokenizer.batch_decode(A__				)
						lowercase         = [seq.replace(" "							,			""				) for seq in decoded_tok]

						self.assertListEqual(A__							,			A__				)




		def 				UpperCAmelCase__   (self      :	Any				)					-> Optional[int]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

						lowercase         = None
						lowercase         = self.prepare_image_inputs()

						lowercase         = processor(text=A__							,			images=A__				)

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





		def 				UpperCAmelCase__   (self      :	int				)					-> Optional[Any]:
						lowercase         = self.get_image_processor()
						lowercase         = self.get_tokenizer()

						lowercase         = MgpstrProcessor(tokenizer=A__							,			image_processor=A__				)

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

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

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




