
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


lowercase__						:List[str]					    =       logging.get_logger(__name__)

lowercase__						:List[Any]					    =       {'''vocab_file''': '''vocab.txt'''}

lowercase__						:List[str]					    =       {
    '''vocab_file''': {
        '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt''',
        '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt''',
        '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt''',
        '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt''',
    }
}

lowercase__						:List[str]					    =       {
    '''tau/splinter-base''': 512,
    '''tau/splinter-base-qass''': 512,
    '''tau/splinter-large''': 512,
    '''tau/splinter-large-qass''': 512,
}

lowercase__						:Tuple					    =       {
    '''tau/splinter-base''': {'''do_lower_case''': False},
    '''tau/splinter-base-qass''': {'''do_lower_case''': False},
    '''tau/splinter-large''': {'''do_lower_case''': False},
    '''tau/splinter-large-qass''': {'''do_lower_case''': False},
}







class 							lowercase						(   lowerCamelCase_						):
							lowercase_			:			List[Any]			   =VOCAB_FILES_NAMES
							lowercase_			:			Tuple			   =PRETRAINED_VOCAB_FILES_MAP
							lowercase_			:			List[Any]			   =PRETRAINED_INIT_CONFIGURATION
							lowercase_			:			Optional[Any]			   =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_			:			Dict			   =SplinterTokenizer




							def __init__(							self  ,A__=None  ,A__=None  ,A__=True  ,A__="[UNK]"  ,A__="[SEP]"  ,A__="[PAD]"  ,A__="[CLS]"  ,A__="[MASK]"  ,A__="[QUESTION]"  ,A__=True  ,A__=None  ,**A__  ,):
												super().__init__(
												    _lowercase  ,tokenizer_file=_lowercase  ,do_lower_case=_lowercase  ,unk_token=_lowercase  ,sep_token=_lowercase  ,pad_token=_lowercase  ,cls_token=_lowercase  ,mask_token=_lowercase  ,tokenize_chinese_chars=_lowercase  ,strip_accents=_lowercase  ,additional_special_tokens=(question_token,)  ,**_lowercase  ,)

												lowercase		      =		json.loads(self.backend_tokenizer.normalizer.__getstate__())
												if (
												    pre_tok_state.get('''lowercase'''  ,_lowercase) != do_lower_case
												    or pre_tok_state.get('''strip_accents'''  ,_lowercase) != strip_accents
												):
																	lowercase		      =		getattr(_lowercase  ,pre_tok_state.pop('''type'''))
																	lowercase		      =		do_lower_case
																	lowercase		      =		strip_accents
																	lowercase		      =		pre_tok_class(**_lowercase)

												lowercase		      =		do_lower_case




							@property
							def 					A__ (							self):
												return self.convert_tokens_to_ids(self.question_token)




							def 					A__ (							self  ,A__  ,A__ = None):






												if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

												lowercase		      =		[self.cls_token_id]
												lowercase		      =		[self.sep_token_id]
												lowercase		      =		[self.question_token_id] + [self.convert_tokens_to_ids('''.''')]
												if self.padding_side == "right":
																	# Input is question-then-context
																	return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
												else:
																	# Input is context-then-question
																	return cls + token_ids_a + sep + token_ids_a + question_suffix + sep




							def 					A__ (							self  ,A__  ,A__ = None):
												lowercase		      =		[self.sep_token_id]
												lowercase		      =		[self.cls_token_id]
												lowercase		      =		[self.question_token_id] + [self.convert_tokens_to_ids('''.''')]
												if token_ids_a is None:
																	return len(cls + token_ids_a + sep) * [0]

												if self.padding_side == "right":
																	# Input is question-then-context
																	return len(cls + token_ids_a + question_suffix + sep) * [0] + len(token_ids_a + sep) * [1]
												else:
																	# Input is context-then-question
																	return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + question_suffix + sep) * [1]





							def 					A__ (							self  ,A__  ,A__ = None):
												lowercase		      =		self._tokenizer.model.save(_lowercase  ,name=_lowercase)
												return tuple(_lowercase)





import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference







@slow
@require_torch_gpu
class __snake_case							(		unittest.TestCase						):




   def       __a		(       self     :							List[Any] ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__     				= """runwayml/stable-diffusion-v1-5"""
     SCREAMING_SNAKE_CASE__     				= TextToVideoZeroPipeline.from_pretrained(_lowercase			,      torch_dtype=torch.floataa ).to("""cuda""" )
     SCREAMING_SNAKE_CASE__     				= DDIMScheduler.from_config(pipe.scheduler.config )
     SCREAMING_SNAKE_CASE__     				= torch.Generator(device="""cuda""" ).manual_seed(0 )

     SCREAMING_SNAKE_CASE__     				= """A bear is playing a guitar on Times Square"""
     SCREAMING_SNAKE_CASE__     				= pipe(prompt=_lowercase			,      generator=_lowercase ).images

     SCREAMING_SNAKE_CASE__     				= load_pt(
         """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt""" )

     assert_mean_pixel_difference(_lowercase			,      _lowercase )
