





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




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

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




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

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




		def 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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 				lowerCamelCase__   (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
from collections import Counter

import torch
import torchvision
import torchvision.transforms as transforms
from PIL import Image
from torch import nn
from torch.utils.data import Dataset


__lowerCamelCase : Any											=			{1: (1, 1), 2: (2, 1), 3: (3, 1), 4: (2, 2), 5: (5, 1), 6: (3, 2), 7: (7, 1), 8: (4, 2), 9: (3, 3)}

class       UpperCAmelCase (						nn.Module  ):




		def __init__(self      :	Tuple							,			A__      :	Any				)					-> str:
						super().__init__()
						lowercase         = torchvision.models.resnetaaa(pretrained=A__				)
						lowercase         = list(model.children()				)[:-2]
						lowercase         = nn.Sequential(*A__				)
						lowercase         = nn.AdaptiveAvgPoolad(POOLING_BREAKDOWN[args.num_image_embeds]				)





		def 				UpperCAmelCase__   (self      :	List[str]							,			A__      :	Optional[Any]				)					-> Optional[int]:
						# Bx3x224x224 -> Bx2048x7x7 -> Bx2048xN -> BxNx2048
						lowercase         = self.pool(self.model(A__				)				)
						lowercase         = torch.flatten(A__							,			start_dim=2				)
						lowercase         = out.transpose(1							,			2				).contiguous()
						return out  # BxNx2048




class       UpperCAmelCase (						_lowercase  ):




		def __init__(self      :	int							,			A__      :	Optional[int]							,			A__      :	Optional[Any]							,			A__      :	List[Any]							,			A__      :	Tuple							,			A__      :	Optional[int]				)					-> Union[str, Any]:
						lowercase         = [json.loads(A__				) for l in open(A__				)]
						lowercase         = os.path.dirname(A__				)
						lowercase         = tokenizer
						lowercase         = labels
						lowercase         = len(A__				)
						lowercase         = max_seq_length

						lowercase         = transforms




		def __len__(self      :	List[str]				)					-> Dict:
						return len(self.data				)




		def __getitem__(self      :	int							,			A__      :	Union[str, Any]				)					-> List[str]:
						lowercase         = torch.LongTensor(self.tokenizer.encode(self.data[index]["text"]							,			add_special_tokens=A__				)				)
						lowercase   ,							lowercase   ,							lowercase         = sentence[0], sentence[1:-1], sentence[-1]
						lowercase         = sentence[: self.max_seq_length]

						lowercase         = torch.zeros(self.n_classes				)
						lowercase         = 1

						lowercase         = Image.open(os.path.join(self.data_dir							,			self.data[index]["img"]				)				).convert("RGB"				)
						lowercase         = self.transforms(A__				)

						return {
						    "image_start_token": start_token,
						    "image_end_token": end_token,
						    "sentence": sentence,
						    "image": image,
						    "label": label,
						}





		def 				UpperCAmelCase__   (self      :	str				)					-> str:
						lowercase         = Counter()
						for row in self.data:
										label_freqs.update(row["label"]				)
						return label_freqs







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = [len(row["sentence"]							) for row in batch]
				lowercase   ,							lowercase         = len(lowerCAmelCase_							), max(lowerCAmelCase_							)

				lowercase         = torch.zeros(lowerCAmelCase_		,							lowerCAmelCase_		,							dtype=torch.long							)
				lowercase         = torch.zeros(lowerCAmelCase_		,							lowerCAmelCase_		,							dtype=torch.long							)

				for i_batch, (input_row, length) in enumerate(zip(lowerCAmelCase_		,							lowerCAmelCase_							)							):
								lowercase         = input_row["sentence"]
								lowercase         = 1

				lowercase         = torch.stack([row["image"] for row in batch]							)
				lowercase         = torch.stack([row["label"] for row in batch]							)
				lowercase         = torch.stack([row["image_start_token"] for row in batch]							)
				lowercase         = torch.stack([row["image_end_token"] for row in batch]							)

				return text_tensor, mask_tensor, img_tensor, img_start_token, img_end_token, tgt_tensor







def 							UpperCAmelCase_    (	):

				"""simple docstring"""






				return [
				    "Crime",
				    "Drama",
				    "Thriller",
				    "Action",
				    "Comedy",
				    "Romance",
				    "Documentary",
				    "Short",
				    "Mystery",
				    "History",
				    "Family",
				    "Adventure",
				    "Fantasy",
				    "Sci-Fi",
				    "Western",
				    "Horror",
				    "Sport",
				    "War",
				    "Music",
				    "Musical",
				    "Animation",
				    "Biography",
				    "Film-Noir",
				]







def 							UpperCAmelCase_    (	):

				"""simple docstring"""






				return transforms.Compose(
				    [
				        transforms.Resize(256							),
				        transforms.CenterCrop(224							),
				        transforms.ToTensor(),
				        transforms.Normalize(
				            mean=[0.46_77_70_44, 0.44_53_14_29, 0.40_66_10_17]		,							std=[0.12_22_19_94, 0.12_14_58_35, 0.14_38_04_69]		,							),
				    ]							)




