


import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase			:  int     =logging.get_logger(__name__)


_UpperCAmelCase			:  List[Any]     ={
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

_UpperCAmelCase			:  Optional[int]     ={
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

_UpperCAmelCase			:  Union[str, Any]     ={"""facebook/blenderbot_small-90M""": 512}



def 			lowerCAmelCase (		lowerCAmelCase_ )-> Any:
				lowerCAmelCase_ :      Optional[Any]    				=				set()
				lowerCAmelCase_ :      List[Any]    				=				word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								lowerCAmelCase_ :      int    				=				char

				lowerCAmelCase_ :      str    				=				set(lowerCAmelCase_ )
				return pairs







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  int					=							VOCAB_FILES_NAMES
						SCREAMING_SNAKE_CASE__      :  List[str]					=							PRETRAINED_VOCAB_FILES_MAP
						SCREAMING_SNAKE_CASE__      :  List[Any]					=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						SCREAMING_SNAKE_CASE__      :  Union[str, Any]					=							["""input_ids""", """attention_mask"""]




						def __init__(				self   ,						__lowercase   ,						__lowercase   ,						__lowercase="__start__"   ,						__lowercase="__end__"   ,						__lowercase="__unk__"   ,						__lowercase="__null__"   ,						**__lowercase   ,						)					->    Optional[Any]:
										super().__init__(unk_token=__lowercase   ,						bos_token=__lowercase   ,						eos_token=__lowercase   ,						pad_token=__lowercase   ,						**__lowercase							)

										with open(__lowercase   ,						encoding='''utf-8'''							) as vocab_handle:
														lowerCAmelCase_ :      str    				=				json.load(__lowercase							)
										lowerCAmelCase_ :      Any    				=				{v: k for k, v in self.encoder.items()}
										with open(__lowercase   ,						encoding='''utf-8'''							) as merges_handle:
														lowerCAmelCase_ :      Dict    				=				merges_handle.read().split('''\n'''							)[1:-1]
										lowerCAmelCase_ :      Dict    				=				[tuple(merge.split()							) for merge in merges]
										lowerCAmelCase_ :      int    				=				dict(zip(__lowercase   ,						range(len(__lowercase							)							)							)							)
										lowerCAmelCase_ :      Optional[Any]    				=				{}




						@property
						def 						lowercase_ (				self							)					->    int:
										return len(self.encoder							)




						def 						lowercase_ (				self							)					->    Dict:
										return dict(self.encoder   ,						**self.added_tokens_encoder							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    str:
										if token in self.cache:
														return self.cache[token]
										lowerCAmelCase_ :      int    				=				re.sub('''([.,!?()])'''   ,						R''' \1'''   ,						__lowercase							)
										lowerCAmelCase_ :      List[str]    				=				re.sub('''(\')'''   ,						R''' \1 '''   ,						__lowercase							)
										lowerCAmelCase_ :      Optional[int]    				=				re.sub(R'''\s{2,}'''   ,						''' '''   ,						__lowercase							)
										if "\n" in token:
														lowerCAmelCase_ :      Any    				=				token.replace('''\n'''   ,						''' __newln__'''							)

										lowerCAmelCase_ :      List[str]    				=				token.split(''' '''							)
										lowerCAmelCase_ :      List[Any]    				=				[]
										for token in tokens:
														if not len(__lowercase							):
																		continue

														lowerCAmelCase_ :      Union[str, Any]    				=				token.lower()
														lowerCAmelCase_ :      Optional[int]    				=				tuple(__lowercase							)
														lowerCAmelCase_ :      str    				=				tuple(list(word[:-1]							) + [word[-1] + '''</w>''']							)
														lowerCAmelCase_ :      Optional[int]    				=				get_pairs(__lowercase							)

														if not pairs:
																		words.append(__lowercase							)
																		continue

														while True:
																		lowerCAmelCase_ :      int    				=				min(__lowercase   ,						key=lambda __lowercase							: self.bpe_ranks.get(__lowercase   ,						float('''inf'''							)							)							)
																		if bigram not in self.bpe_ranks:
																						break
																		lowerCAmelCase_				,  lowerCAmelCase_ :      Dict    				=				bigram
																		lowerCAmelCase_ :      Union[str, Any]    				=				[]
																		lowerCAmelCase_ :      str    				=				0

																		while i < len(__lowercase							):
																						try:
																										lowerCAmelCase_ :      Optional[Any]    				=				word.index(__lowercase   ,						__lowercase							)
																										new_word.extend(word[i:j]							)
																										lowerCAmelCase_ :      str    				=				j
																						except ValueError:
																										new_word.extend(word[i:]							)
																										break

																						if word[i] == first and i < len(__lowercase							) - 1 and word[i + 1] == second:
																										new_word.append(first + second							)
																										i += 2
																						else:
																										new_word.append(word[i]							)
																										i += 1
																		lowerCAmelCase_ :      Union[str, Any]    				=				tuple(__lowercase							)
																		lowerCAmelCase_ :      Union[str, Any]    				=				new_word
																		if len(__lowercase							) == 1:
																						break
																		else:
																						lowerCAmelCase_ :      Dict    				=				get_pairs(__lowercase							)
														lowerCAmelCase_ :      Dict    				=				'''@@ '''.join(__lowercase							)
														lowerCAmelCase_ :      Optional[Any]    				=				word[:-4]

														lowerCAmelCase_ :      Optional[int]    				=				word
														words.append(__lowercase							)
										return " ".join(__lowercase							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    List[str]:
										lowerCAmelCase_ :      Optional[int]    				=				[]

										lowerCAmelCase_ :      List[Any]    				=				re.findall(R'''\S+\n?'''   ,						__lowercase							)

										for token in words:
														split_tokens.extend(list(self.bpe(__lowercase							).split(''' '''							)							)							)
										return split_tokens




						def 						lowercase_ (				self   ,						__lowercase							)					->    int:
										lowerCAmelCase_ :      int    				=				token.lower()
										return self.encoder.get(__lowercase   ,						self.encoder.get(self.unk_token							)							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    str:
										return self.decoder.get(__lowercase   ,						self.unk_token							)




						def 						lowercase_ (				self   ,						__lowercase							)					->    str:
										lowerCAmelCase_ :      int    				=				''' '''.join(__lowercase							).replace('''@@ '''   ,						''''''							).strip()
										return out_string




						def 						lowercase_ (				self   ,						__lowercase   ,						__lowercase = None							)					->    Tuple[str]:
										if not os.path.isdir(__lowercase							):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
														return
										lowerCAmelCase_ :      Dict    				=				os.path.join(
										    __lowercase   ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
										lowerCAmelCase_ :      Tuple    				=				os.path.join(
										    __lowercase   ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']							)

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

										lowerCAmelCase_ :      Optional[int]    				=				0
										with open(__lowercase   ,						'''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 __lowercase							: 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!'''							)
																						lowerCAmelCase_ :      Tuple    				=				token_index
																		writer.write(''' '''.join(__lowercase							) + '''\n'''							)
																		index += 1

										return vocab_file, merge_file



# We ignore warnings about stepping the scheduler since we step it ourselves during gradient accumulation

import warnings

from .state import AcceleratorState, GradientState


warnings.filterwarnings("""ignore""", category=UserWarning, module="""torch.optim.lr_scheduler""")







class 				snake_case__:







						'''simple docstring'''




						def __init__(				self   ,						__lowercase   ,						__lowercase   ,						__lowercase = True   ,						__lowercase = False							)					->    Tuple:
										lowerCAmelCase_ :      Optional[int]    				=				scheduler
										lowerCAmelCase_ :      Dict    				=				optimizers if isinstance(__lowercase   ,						(list, tuple)							) else [optimizers]
										lowerCAmelCase_ :      str    				=				split_batches
										lowerCAmelCase_ :      Any    				=				step_with_optimizer
										lowerCAmelCase_ :      Optional[Any]    				=				GradientState()




						def 						lowercase_ (				self   ,						*__lowercase   ,						**__lowercase							)					->    Any:
										if not self.step_with_optimizer:
														# No link between scheduler and optimizer -> just step
														self.scheduler.step(*__lowercase   ,						**__lowercase							)
														return

										# Otherwise, first make sure the optimizer was stepped.
										if not self.gradient_state.sync_gradients:
														if self.gradient_state.adjust_scheduler:
																		self.scheduler._step_count += 1
														return

										for opt in self.optimizers:
														if opt.step_was_skipped:
																		return
										if self.split_batches:
														# Split batches -> the training dataloader batch size is not changed so one step per training step
														self.scheduler.step(*__lowercase   ,						**__lowercase							)
										else:
														# Otherwise the training dataloader batch size was multiplied by `num_processes`, so we need to do
														# num_processes steps per training step
														lowerCAmelCase_ :      Optional[Any]    				=				AcceleratorState().num_processes
														for _ in range(__lowercase							):
																		# Special case when using OneCycle and `drop_last` was not used
																		if hasattr(self.scheduler   ,						'''total_steps'''							):
																						if self.scheduler._step_count <= self.scheduler.total_steps:
																										self.scheduler.step(*__lowercase   ,						**__lowercase							)
																		else:
																						self.scheduler.step(*__lowercase   ,						**__lowercase							)




						def 						lowercase_ (				self							)					->    Union[str, Any]:
										return self.scheduler.get_last_lr()




						def 						lowercase_ (				self							)					->    List[str]:
										return self.scheduler.state_dict()




						def 						lowercase_ (				self   ,						__lowercase							)					->    int:
										self.scheduler.load_state_dict(__lowercase							)




						def 						lowercase_ (				self							)					->    Tuple:
										return self.scheduler.get_lr()




						def 						lowercase_ (				self   ,						*__lowercase   ,						**__lowercase							)					->    int:
										return self.scheduler.print_lr(*__lowercase   ,						**__lowercase							)