"""simple docstring"""




import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _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__(			__A		,						unittest.TestCase ):
						lowerCAmelCase__  :						Any													=		RoCBertTokenizer
						lowerCAmelCase__  :						Dict													=		None
						lowerCAmelCase__  :						Union[str, Any]													=		False
						lowerCAmelCase__  :						List[str]													=		True
						lowerCAmelCase__  :						Union[str, Any]													=		filter_non_english





						def 				snake_case__	(       self     )					->				Union[str, Any]:
													super().setUp()

													A__	     =							['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
													A__	     =							{}
													A__	     =							{}
													for i, value in enumerate(__UpperCAmelCase     ):
																				A__	     =							i
																				A__	     =							i
													A__	     =							os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['vocab_file']     )
													A__	     =							os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['word_shape_file']     )
													A__	     =							os.path.join(self.tmpdirname		,VOCAB_FILES_NAMES['word_pronunciation_file']     )
													with open(self.vocab_file		,'w'		,encoding='utf-8'     ) as vocab_writer:
																				vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]     )     )
													with open(self.word_shape_file		,'w'		,encoding='utf-8'     ) as word_shape_writer:
																				json.dump(__UpperCAmelCase		,__UpperCAmelCase		,ensure_ascii=__UpperCAmelCase     )
													with open(self.word_pronunciation_file		,'w'		,encoding='utf-8'     ) as word_pronunciation_writer:
																				json.dump(__UpperCAmelCase		,__UpperCAmelCase		,ensure_ascii=__UpperCAmelCase     )





						def 				snake_case__	(       self     )					->				List[Any]:
													A__	     =							self.tokenizer_class(self.vocab_file		,self.word_shape_file		,self.word_pronunciation_file     )

													A__	     =							tokenizer.tokenize('你好[SEP]你是谁'     )
													self.assertListEqual(__UpperCAmelCase		,['你', '好', '[SEP]', '你', '是', '谁']     )
													self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase     )		,[5, 6, 2, 5, 7, 8]     )
													self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__UpperCAmelCase     )		,[5, 6, 2, 5, 7, 8]     )
													self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__UpperCAmelCase     )		,[5, 6, 2, 5, 7, 8]     )





						def 				snake_case__	(       self     )					->				int:
													A__	     =							RoCBertBasicTokenizer()

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





						def 				snake_case__	(       self     )					->				Optional[int]:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase     )

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





						def 				snake_case__	(       self     )					->				Dict:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase		,strip_accents=__UpperCAmelCase     )

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





						def 				snake_case__	(       self     )					->				Any:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase		,strip_accents=__UpperCAmelCase     )

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





						def 				snake_case__	(       self     )					->				Tuple:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase     )

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





						def 				snake_case__	(       self     )					->				str:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase     )

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





						def 				snake_case__	(       self     )					->				int:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase		,strip_accents=__UpperCAmelCase     )

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





						def 				snake_case__	(       self     )					->				Tuple:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase		,strip_accents=__UpperCAmelCase     )

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





						def 				snake_case__	(       self     )					->				str:
													A__	     =							RoCBertBasicTokenizer(do_lower_case=__UpperCAmelCase		,never_split=['[UNK]']     )

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





						def 				snake_case__	(       self     )					->				Optional[Any]:
													A__	     =							['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

													A__	     =							{}
													for i, token in enumerate(__UpperCAmelCase     ):
																				A__	     =							i
													A__	     =							RoCBertWordpieceTokenizer(vocab=__UpperCAmelCase		,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 				snake_case__	(       self     )					->				Union[str, Any]:
													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 				snake_case__	(       self     )					->				Dict:
													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 				snake_case__	(       self     )					->				str:
													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 				snake_case__	(       self     )					->				Tuple:
													A__	     =							self.get_tokenizer()

													# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
													self.assertListEqual([tokenizer.tokenize(__UpperCAmelCase     ) for t in ['Test', '\xad', 'test']]		,[['[UNK]'], [], ['[UNK]']]     )

													if self.test_rust_tokenizer:
																				A__	     =							self.get_rust_tokenizer()
																				self.assertListEqual(
																				    [rust_tokenizer.tokenize(__UpperCAmelCase     ) for t in ['Test', '\xad', 'test']]		,[['[UNK]'], [], ['[UNK]']]     )





						def 				snake_case__	(       self     )					->				Tuple:
													for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																				with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
																											A__	     =							self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase		,**__UpperCAmelCase     )

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

																											A__	     =							tokenizer_r.do_lower_case if hasattr(__UpperCAmelCase		,'do_lower_case'     ) else False
																											A__	     =							(
																											    [
																											        ((0, 0), tokenizer_r.cls_token),
																											        ((0, 1), 'A'),
																											        ((1, 2), ','),
																											        ((3, 5), 'na'),
																											        ((5, 6), '##ï'),
																											        ((6, 8), '##ve'),
																											        ((9, 15), tokenizer_r.mask_token),
																											        ((16, 21), 'Allen'),
																											        ((21, 23), '##NL'),
																											        ((23, 24), '##P'),
																											        ((25, 33), 'sentence'),
																											        ((33, 34), '.'),
																											        ((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, 15), tokenizer_r.mask_token),
																											        ((16, 21), 'allen'),
																											        ((21, 23), '##nl'),
																											        ((23, 24), '##p'),
																											        ((25, 33), 'sentence'),
																											        ((33, 34), '.'),
																											        ((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 				snake_case__	(       self     )					->				List[str]:
													A__	     =							['的', '人', '有']
													A__	     =							''.join(__UpperCAmelCase     )
													for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																				with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
																											A__	     =							True
																											A__	     =							self.tokenizer_class.from_pretrained(__UpperCAmelCase		,**__UpperCAmelCase     )
																											A__	     =							self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase		,**__UpperCAmelCase     )

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

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

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

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

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

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

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





						@slow
						def 				snake_case__	(       self     )					->				Optional[int]:
													A__	     =							self.tokenizer_class(self.vocab_file		,self.word_shape_file		,self.word_pronunciation_file     )

													A__	     =							tokenizer.encode('你好'		,add_special_tokens=__UpperCAmelCase     )
													A__	     =							tokenizer.encode('你是谁'		,add_special_tokens=__UpperCAmelCase     )

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

													assert encoded_sentence == [1] + text + [2]
													assert encoded_pair == [1] + text + [2] + text_a + [2]





						def 				snake_case__	(       self     )					->				Tuple:
													A__	     =							self.get_tokenizers(do_lower_case=__UpperCAmelCase     )
													for tokenizer in tokenizers:
																				with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
																											A__	     =							'你好，你是谁'
																											A__	     =							tokenizer.tokenize(__UpperCAmelCase     )
																											A__	     =							tokenizer.convert_tokens_to_ids(__UpperCAmelCase     )
																											A__	     =							tokenizer.convert_tokens_to_shape_ids(__UpperCAmelCase     )
																											A__	     =							tokenizer.convert_tokens_to_pronunciation_ids(__UpperCAmelCase     )
																											A__	     =							tokenizer.prepare_for_model(
																											    __UpperCAmelCase		,__UpperCAmelCase		,__UpperCAmelCase		,add_special_tokens=__UpperCAmelCase     )

																											A__	     =							tokenizer.encode_plus(__UpperCAmelCase		,add_special_tokens=__UpperCAmelCase     )

																											self.assertEqual(__UpperCAmelCase		,__UpperCAmelCase     )






"""simple docstring"""




from io import BytesIO
from typing import List, Union

import requests

from ..utils import add_end_docstrings, is_decord_available, is_torch_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_decord_available():
				import numpy as np
				from decord import VideoReader


if is_torch_available():
				from ..models.auto.modeling_auto import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING

__lowerCamelCase											=  logging.get_logger(__name__)
@add_end_docstrings(__A )
class     UpperCamelCase__(			__A ):





						def __init__(       self		,*__UpperCAmelCase		,**__UpperCAmelCase     )					->				List[Any]:
													super().__init__(*__UpperCAmelCase		,**__UpperCAmelCase     )
													requires_backends(self		,'decord'     )
													self.check_model_type(__UpperCAmelCase     )





						def 				snake_case__	(       self		,__UpperCAmelCase=None		,__UpperCAmelCase=None		,__UpperCAmelCase=None     )					->				Any:
													A__	     =							{}
													if frame_sampling_rate is not None:
																				A__	     =							frame_sampling_rate
													if num_frames is not None:
																				A__	     =							num_frames

													A__	     =							{}
													if top_k is not None:
																				A__	     =							top_k
													return preprocess_params, {}, postprocess_params





						def __call__(       self		,__UpperCAmelCase		,**__UpperCAmelCase     )					->				Optional[int]:
													return super().__call__(__UpperCAmelCase		,**__UpperCAmelCase     )





						def 				snake_case__	(       self		,__UpperCAmelCase		,__UpperCAmelCase=None		,__UpperCAmelCase=1     )					->				List[Any]:
													if num_frames is None:
																				A__	     =							self.model.config.num_frames

													if video.startswith('http://'     ) or video.startswith('https://'     ):
																				A__	     =							BytesIO(requests.get(__UpperCAmelCase     ).content     )

													A__	     =							VideoReader(__UpperCAmelCase     )
													videoreader.seek(0     )

													A__	     =							0
													A__	     =							num_frames * frame_sampling_rate - 1
													A__	     =							np.linspace(__UpperCAmelCase		,__UpperCAmelCase		,num=__UpperCAmelCase		,dtype=np.intaa     )

													A__	     =							videoreader.get_batch(__UpperCAmelCase     ).asnumpy()
													A__	     =							list(__UpperCAmelCase     )

													A__	     =							self.image_processor(__UpperCAmelCase		,return_tensors=self.framework     )
													return model_inputs





						def 				snake_case__	(       self		,__UpperCAmelCase     )					->				Optional[int]:
													A__	     =							self.model(**__UpperCAmelCase     )
													return model_outputs





						def 				snake_case__	(       self		,__UpperCAmelCase		,__UpperCAmelCase=5     )					->				int:
													if top_k > self.model.config.num_labels:
																				A__	     =							self.model.config.num_labels

													if self.framework == "pt":
																				A__	     =							model_outputs.logits.softmax(-1     )[0]
																				A__     ,  A__	     =							probs.topk(__UpperCAmelCase     )
													else:
																				raise ValueError(f'''Unsupported framework: {self.framework}'''     )

													A__	     =							scores.tolist()
													A__	     =							ids.tolist()
													return [{"score": score, "label": self.model.config.idalabel[_id]} for score, _id in zip(__UpperCAmelCase		,__UpperCAmelCase     )]





