






"""simple docstring"""




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

import regex as re

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


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation

_a				     =  logging.get_logger(__name__)

_a				     =  {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

_a				     =  {
    '''vocab_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/vocab.json''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/vocab.json''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/vocab.json''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/vocab.json''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''gpt2''': '''https://huggingface.co/gpt2/resolve/main/merges.txt''',
        '''gpt2-medium''': '''https://huggingface.co/gpt2-medium/resolve/main/merges.txt''',
        '''gpt2-large''': '''https://huggingface.co/gpt2-large/resolve/main/merges.txt''',
        '''gpt2-xl''': '''https://huggingface.co/gpt2-xl/resolve/main/merges.txt''',
        '''distilgpt2''': '''https://huggingface.co/distilgpt2/resolve/main/merges.txt''',
    },
}

_a				     =  {
    '''gpt2''': 1024,
    '''gpt2-medium''': 1024,
    '''gpt2-large''': 1024,
    '''gpt2-xl''': 1024,
    '''distilgpt2''': 1024,
}


@lru_cache()
def __A   (				)->  List[str]:





						"""simple docstring"""



						_UpperCAmelCase     =      (
						    list(range(ord('!'     )			,		ord('~'     ) + 1     )     ) + list(range(ord('¡'     )			,		ord('¬'     ) + 1     )     ) + list(range(ord('®'     )			,		ord('ÿ'     ) + 1     )     )
						)
						_UpperCAmelCase     =      bs[:]
						_UpperCAmelCase     =      0
						for b in range(2**8     ):
												if b not in bs:
																		bs.append(__lowerCAmelCase     )
																		cs.append(2**8 + n     )
																		n += 1
						_UpperCAmelCase     =      [chr(__lowerCAmelCase     ) for n in cs]
						return dict(zip(__lowerCAmelCase			,		__lowerCAmelCase     )     )


def __A   (				__lowerCAmelCase     )->  List[str]:





						"""simple docstring"""



						_UpperCAmelCase     =      set()
						_UpperCAmelCase     =      word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)     )
												_UpperCAmelCase     =      char
						return pairs





class __lowerCamelCase			(				snake_case__):





	"""simple docstring"""






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

	def __init__(							self	,   UpperCAmelCase	,   UpperCAmelCase	,   UpperCAmelCase="replace"	,   UpperCAmelCase="<|endoftext|>"	,   UpperCAmelCase="<|endoftext|>"	,   UpperCAmelCase="<|endoftext|>"	,   UpperCAmelCase=None	,   UpperCAmelCase=False	,   UpperCAmelCase=False	,   **UpperCAmelCase	,   ):
							"""simple docstring"""







							_UpperCAmelCase     =      AddedToken(UpperCAmelCase	,   lstrip=UpperCAmelCase	,   rstrip=UpperCAmelCase   ) if isinstance(UpperCAmelCase	,   UpperCAmelCase   ) else bos_token
							_UpperCAmelCase     =      AddedToken(UpperCAmelCase	,   lstrip=UpperCAmelCase	,   rstrip=UpperCAmelCase   ) if isinstance(UpperCAmelCase	,   UpperCAmelCase   ) else eos_token
							_UpperCAmelCase     =      AddedToken(UpperCAmelCase	,   lstrip=UpperCAmelCase	,   rstrip=UpperCAmelCase   ) if isinstance(UpperCAmelCase	,   UpperCAmelCase   ) else unk_token
							_UpperCAmelCase     =      AddedToken(UpperCAmelCase	,   lstrip=UpperCAmelCase	,   rstrip=UpperCAmelCase   ) if isinstance(UpperCAmelCase	,   UpperCAmelCase   ) else pad_token
							super().__init__(
							    errors=UpperCAmelCase	,   unk_token=UpperCAmelCase	,   bos_token=UpperCAmelCase	,   eos_token=UpperCAmelCase	,   pad_token=UpperCAmelCase	,   add_prefix_space=UpperCAmelCase	,   add_bos_token=UpperCAmelCase	,   **UpperCAmelCase	,   )
							_UpperCAmelCase     =      add_bos_token

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

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

	@property
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							return len(self.encoder   )

	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							return dict(self.encoder	,   **self.added_tokens_encoder   )

	def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
							"""simple docstring"""







							if token in self.cache:
													return self.cache[token]
							_UpperCAmelCase     =      tuple(UpperCAmelCase   )
							_UpperCAmelCase     =      get_pairs(UpperCAmelCase   )

							if not pairs:
													return token

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

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

	def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase=None   ):
							"""simple docstring"""







							if self.add_bos_token:
													_UpperCAmelCase     =      [self.bos_token_id]
							else:
													_UpperCAmelCase     =      []

							_UpperCAmelCase     =      bos_token_ids + token_ids_a

							if token_ids_a is None:
													return output

							return output + bos_token_ids + token_ids_a

	def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase = None	,   UpperCAmelCase = False   ):
							"""simple docstring"""







							if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=UpperCAmelCase	,   token_ids_a=UpperCAmelCase	,   already_has_special_tokens=UpperCAmelCase   )

							if not self.add_bos_token:
													return super().get_special_tokens_mask(
													    token_ids_a=UpperCAmelCase	,   token_ids_a=UpperCAmelCase	,   already_has_special_tokens=UpperCAmelCase   )

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

	def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
							"""simple docstring"""







							_UpperCAmelCase     =      []
							for token in re.findall(self.pat	,   UpperCAmelCase   ):
													_UpperCAmelCase     =      ''.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(UpperCAmelCase   ).split(' '   )   )
							return bpe_tokens

	def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
							"""simple docstring"""







							return self.encoder.get(UpperCAmelCase	,   self.encoder.get(self.unk_token   )   )

	def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
							"""simple docstring"""







							return self.decoder.get(UpperCAmelCase   )

	def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
							"""simple docstring"""







							_UpperCAmelCase     =      ''.join(UpperCAmelCase   )
							_UpperCAmelCase     =      bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'	,   errors=self.errors   )
							return text

	def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase = None   ):
							"""simple docstring"""







							if not os.path.isdir(UpperCAmelCase   ):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
													return
							_UpperCAmelCase     =      os.path.join(
							    UpperCAmelCase	,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
							_UpperCAmelCase     =      os.path.join(
							    UpperCAmelCase	,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']   )

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

							_UpperCAmelCase     =      0
							with open(UpperCAmelCase	,   '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 UpperCAmelCase   : 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!'   )
																									_UpperCAmelCase     =      token_index
																			writer.write(' '.join(UpperCAmelCase   ) + '\n'   )
																			index += 1

							return vocab_file, merge_file

	def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase=False	,   **UpperCAmelCase   ):
							"""simple docstring"""







							_UpperCAmelCase     =      kwargs.pop('add_prefix_space'	,   self.add_prefix_space   )
							if is_split_into_words or add_prefix_space:
													_UpperCAmelCase     =      ' ' + text
							return (text, kwargs)

	def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
							"""simple docstring"""







							_UpperCAmelCase     =      []
							for is_user, text in conversation.iter_texts():
													input_ids.extend(self.encode(UpperCAmelCase	,   add_special_tokens=UpperCAmelCase   ) + [self.eos_token_id]   )
							if len(UpperCAmelCase   ) > self.model_max_length:
													_UpperCAmelCase     =      input_ids[-self.model_max_length :]
							return input_ids








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 __lowerCamelCase			(				unittest.TestCase):





	"""simple docstring"""






	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







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

							_UpperCAmelCase     =      'A bear is playing a guitar on Times Square'
							_UpperCAmelCase     =      pipe(prompt=UpperCAmelCase	,   generator=UpperCAmelCase   ).images

							_UpperCAmelCase     =      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(UpperCAmelCase	,   UpperCAmelCase   )
