




import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase__ :   Dict					=							logging.get_logger(__name__)


lowerCamelCase__ :   Union[str, Any]					=							{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

lowerCamelCase__ :   List[str]					=							{
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

lowerCamelCase__ :   str					=							{
    'allenai/longformer-base-4096': 4_096,
    'allenai/longformer-large-4096': 4_096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_096,
}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 					UpperCAmelCase_							(      )					-> List[Any]:
      SCREAMING_SNAKE_CASE_							=			(
          list(range(ord('!'							)			,			ord('~'							) + 1							)							) + list(range(ord('¡'							)			,			ord('¬'							) + 1							)							) + list(range(ord('®'							)			,			ord('ÿ'							) + 1							)							)
      )
      SCREAMING_SNAKE_CASE_							=			bs[:]
      SCREAMING_SNAKE_CASE_							=			0
      for b in range(2**8							):
            if b not in bs:
                  bs.append(__UpperCAmelCase							)
                  cs.append(2**8 + n							)
                  n += 1
      SCREAMING_SNAKE_CASE_							=			[chr(__UpperCAmelCase							) for n in cs]
      return dict(zip(__UpperCAmelCase			,			__UpperCAmelCase							)							)

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	str							)					-> str:
      SCREAMING_SNAKE_CASE_							=			set()
      SCREAMING_SNAKE_CASE_							=			word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            SCREAMING_SNAKE_CASE_							=			char
      return pairs





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 lowercase_				    =    VOCAB_FILES_NAMES
 lowercase_				    =    PRETRAINED_VOCAB_FILES_MAP
 lowercase_				    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_				    =    ["input_ids", "attention_mask"]



 def __init__(							self  :		Tuple				,				_lowerCAmelCase  :		Union[str, Any]				,				_lowerCAmelCase  :		Tuple				,				_lowerCAmelCase  :		List[str]="replace"				,				_lowerCAmelCase  :		List[Any]="<s>"				,				_lowerCAmelCase  :		Union[str, Any]="</s>"				,				_lowerCAmelCase  :		List[str]="</s>"				,				_lowerCAmelCase  :		Any="<s>"				,				_lowerCAmelCase  :		List[Any]="<unk>"				,				_lowerCAmelCase  :		Union[str, Any]="<pad>"				,				_lowerCAmelCase  :		Union[str, Any]="<mask>"				,				_lowerCAmelCase  :		Dict=False				,				**_lowerCAmelCase  :		Tuple				,				):
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else bos_token
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else eos_token
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else sep_token
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else cls_token
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else unk_token
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       SCREAMING_SNAKE_CASE_							=			AddedToken(_lowerCAmelCase				,				lstrip=_lowerCAmelCase				,				rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase				,				_lowerCAmelCase						) else mask_token

       super().__init__(
           errors=_lowerCAmelCase				,				bos_token=_lowerCAmelCase				,				eos_token=_lowerCAmelCase				,				unk_token=_lowerCAmelCase				,				sep_token=_lowerCAmelCase				,				cls_token=_lowerCAmelCase				,				pad_token=_lowerCAmelCase				,				mask_token=_lowerCAmelCase				,				add_prefix_space=_lowerCAmelCase				,				**_lowerCAmelCase				,				)

       with open(_lowerCAmelCase				,				encoding='utf-8'						) as vocab_handle:
             SCREAMING_SNAKE_CASE_							=			json.load(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			{v: k for k, v in self.encoder.items()}
       SCREAMING_SNAKE_CASE_							=			errors  # how to handle errors in decoding
       SCREAMING_SNAKE_CASE_							=			bytes_to_unicode()
       SCREAMING_SNAKE_CASE_							=			{v: k for k, v in self.byte_encoder.items()}
       with open(_lowerCAmelCase				,				encoding='utf-8'						) as merges_handle:
             SCREAMING_SNAKE_CASE_							=			merges_handle.read().split('\n'						)[1:-1]
       SCREAMING_SNAKE_CASE_							=			[tuple(merge.split()						) for merge in bpe_merges]
       SCREAMING_SNAKE_CASE_							=			dict(zip(_lowerCAmelCase				,				range(len(_lowerCAmelCase						)						)						)						)
       SCREAMING_SNAKE_CASE_							=			{}
       SCREAMING_SNAKE_CASE_							=			add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       SCREAMING_SNAKE_CASE_							=			re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'						)



 @property
 def       lowerCAmelCase_  (							self  :		Optional[Any]						):
       return len(self.encoder						)



 def       lowerCAmelCase_  (							self  :		Tuple						):
       return dict(self.encoder				,				**self.added_tokens_encoder						)



 def       lowerCAmelCase_  (							self  :		str				,				_lowerCAmelCase  :		int						):
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE_							=			tuple(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			get_pairs(_lowerCAmelCase						)

       if not pairs:
             return token

       while True:
             SCREAMING_SNAKE_CASE_							=			min(_lowerCAmelCase				,				key=lambda _lowerCAmelCase						: self.bpe_ranks.get(_lowerCAmelCase				,				float('inf'						)						)						)
             if bigram not in self.bpe_ranks:
                   break
             SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			bigram
             SCREAMING_SNAKE_CASE_							=			[]
             SCREAMING_SNAKE_CASE_							=			0
             while i < len(_lowerCAmelCase						):
                   try:
                         SCREAMING_SNAKE_CASE_							=			word.index(_lowerCAmelCase				,				_lowerCAmelCase						)
                   except ValueError:
                         new_word.extend(word[i:]						)
                         break
                   else:
                         new_word.extend(word[i:j]						)
                         SCREAMING_SNAKE_CASE_							=			j

                   if word[i] == first and i < len(_lowerCAmelCase						) - 1 and word[i + 1] == second:
                         new_word.append(first + second						)
                         i += 2
                   else:
                         new_word.append(word[i]						)
                         i += 1
             SCREAMING_SNAKE_CASE_							=			tuple(_lowerCAmelCase						)
             SCREAMING_SNAKE_CASE_							=			new_word
             if len(_lowerCAmelCase						) == 1:
                   break
             else:
                   SCREAMING_SNAKE_CASE_							=			get_pairs(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			' '.join(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			word
       return word



 def       lowerCAmelCase_  (							self  :		Optional[Any]				,				_lowerCAmelCase  :		Dict						):
       SCREAMING_SNAKE_CASE_							=			[]
       for token in re.findall(self.pat				,				_lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_							=			''.join(
                 self.byte_encoder[b] for b in token.encode('utf-8'						)						)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
             bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowerCAmelCase						).split(' '						)						)
       return bpe_tokens



 def       lowerCAmelCase_  (							self  :		List[Any]				,				_lowerCAmelCase  :		int						):
       return self.encoder.get(_lowerCAmelCase				,				self.encoder.get(self.unk_token						)						)



 def       lowerCAmelCase_  (							self  :		Dict				,				_lowerCAmelCase  :		Optional[Any]						):
       return self.decoder.get(_lowerCAmelCase						)



 def       lowerCAmelCase_  (							self  :		Optional[Any]				,				_lowerCAmelCase  :		Optional[Any]						):
       SCREAMING_SNAKE_CASE_							=			''.join(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			bytearray([self.byte_decoder[c] for c in text]						).decode('utf-8'				,				errors=self.errors						)
       return text



 def       lowerCAmelCase_  (							self  :		Union[str, Any]				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[str] = None						):
       if not os.path.isdir(_lowerCAmelCase						):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
             return
       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
       SCREAMING_SNAKE_CASE_							=			os.path.join(
           _lowerCAmelCase				,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']						)

       with open(_lowerCAmelCase				,				'w'				,				encoding='utf-8'						) as f:
             f.write(json.dumps(self.encoder				,				indent=2				,				sort_keys=_lowerCAmelCase				,				ensure_ascii=_lowerCAmelCase						) + '\n'						)

       SCREAMING_SNAKE_CASE_							=			0
       with open(_lowerCAmelCase				,				'w'				,				encoding='utf-8'						) as writer:
             writer.write('#version: 0.2\n'						)
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,				key=lambda _lowerCAmelCase						: kv[1]						):
                   if index != token_index:
                         logger.warning(
                             F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                             ' Please check that the tokenizer is not corrupted!'						)
                         SCREAMING_SNAKE_CASE_							=			token_index
                   writer.write(' '.join(_lowerCAmelCase						) + '\n'						)
                   index += 1

       return vocab_file, merge_file



 def       lowerCAmelCase_  (							self  :		Any				,				_lowerCAmelCase  :		List[int]				,				_lowerCAmelCase  :		Optional[List[int]] = None						):
       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       SCREAMING_SNAKE_CASE_							=			[self.cls_token_id]
       SCREAMING_SNAKE_CASE_							=			[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep



 def       lowerCAmelCase_  (							self  :		Any				,				_lowerCAmelCase  :		List[int]				,				_lowerCAmelCase  :		Optional[List[int]] = None				,				_lowerCAmelCase  :		bool = False						):
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_lowerCAmelCase				,				token_ids_a=_lowerCAmelCase				,				already_has_special_tokens=_lowerCAmelCase						)

       if token_ids_a is None:
             return [1] + ([0] * len(_lowerCAmelCase						)) + [1]
       return [1] + ([0] * len(_lowerCAmelCase						)) + [1, 1] + ([0] * len(_lowerCAmelCase						)) + [1]



 def       lowerCAmelCase_  (							self  :		Dict				,				_lowerCAmelCase  :		List[int]				,				_lowerCAmelCase  :		Optional[List[int]] = None						):
       SCREAMING_SNAKE_CASE_							=			[self.sep_token_id]
       SCREAMING_SNAKE_CASE_							=			[self.cls_token_id]

       if token_ids_a is None:
             return len(cls + token_ids_a + sep						) * [0]
       return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]




 def       lowerCAmelCase_  (							self  :		Union[str, Any]				,				_lowerCAmelCase  :		Optional[int]				,				_lowerCAmelCase  :		Union[str, Any]=False				,				**_lowerCAmelCase  :		List[str]						):
       SCREAMING_SNAKE_CASE_							=			kwargs.pop('add_prefix_space'				,				self.add_prefix_space						)
       if (is_split_into_words or add_prefix_space) and (len(_lowerCAmelCase						) > 0 and not text[0].isspace()):
             SCREAMING_SNAKE_CASE_							=			' ' + text
       return (text, kwargs)





import unittest

import numpy as np

from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    load_numpy,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)


if is_onnx_available():
   import onnxruntime as ort





@nightly
@require_onnxruntime
@require_torch_gpu
class        lowerCamelCase_							(      unittest.TestCase					):


 '''simple docstring'''







 @property
 def       lowerCAmelCase_  (							self  :		Optional[Any]						):
       return (
           "CUDAExecutionProvider",
           {
               "gpu_mem_limit": "15000000000",  # 15GB
               "arena_extend_strategy": "kSameAsRequested",
           },
       )



 @property
 def       lowerCAmelCase_  (							self  :		str						):
       SCREAMING_SNAKE_CASE_							=			ort.SessionOptions()
       SCREAMING_SNAKE_CASE_							=			False
       return options




 def       lowerCAmelCase_  (							self  :		Tuple						):
       SCREAMING_SNAKE_CASE_							=			load_image(
           'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
           '/in_paint/overture-creations-5sI6fQgYIuo.png'						)
       SCREAMING_SNAKE_CASE_							=			load_image(
           'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
           '/in_paint/overture-creations-5sI6fQgYIuo_mask.png'						)
       SCREAMING_SNAKE_CASE_							=			load_numpy(
           'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
           '/in_paint/red_cat_sitting_on_a_park_bench_onnx.npy'						)

       # using the PNDM scheduler by default
       SCREAMING_SNAKE_CASE_							=			OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
           'CompVis/stable-diffusion-v1-4'				,				revision='onnx'				,				safety_checker=_lowerCAmelCase				,				feature_extractor=_lowerCAmelCase				,				provider=self.gpu_provider				,				sess_options=self.gpu_options				,				)
       pipe.set_progress_bar_config(disable=_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			'A red cat sitting on a park bench'

       SCREAMING_SNAKE_CASE_							=			np.random.RandomState(0						)
       SCREAMING_SNAKE_CASE_							=			pipe(
           prompt=_lowerCAmelCase				,				image=_lowerCAmelCase				,				mask_image=_lowerCAmelCase				,				strength=0.75				,				guidance_scale=7.5				,				num_inference_steps=15				,				generator=_lowerCAmelCase				,				output_type='np'				,				)

       SCREAMING_SNAKE_CASE_							=			output.images[0]

       assert image.shape == (512, 512, 3)
       assert np.abs(expected_image - image						).max() < 1E-2