


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

import regex as re

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


lowerCAmelCase__			:      str								=logging.get_logger(__name__)


lowerCAmelCase__			:      Any								={
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowerCAmelCase__			:      Union[str, Any]								={
    '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'
        )
    },
}

lowerCAmelCase__			:      Tuple								={'facebook/blenderbot_small-90M': 5_12}






def 						a__			(				A__				):
			SCREAMING_SNAKE_CASE_		:     List[Any]					=					set()
			SCREAMING_SNAKE_CASE_		:     int					=					word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)				)
						SCREAMING_SNAKE_CASE_		:     List[Any]					=					char

			SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					set(A__				)
			return pairs







class 	__lowercase    (__SCREAMING_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			,						lowerCAmelCase__			,						lowerCAmelCase__			,						lowerCAmelCase__="__start__"			,						lowerCAmelCase__="__end__"			,						lowerCAmelCase__="__unk__"			,						lowerCAmelCase__="__null__"			,						**lowerCAmelCase__			,						):





										"""simple docstring"""




										super().__init__(unk_token=lowerCAmelCase__			,						bos_token=lowerCAmelCase__			,						eos_token=lowerCAmelCase__			,						pad_token=lowerCAmelCase__			,						**lowerCAmelCase__       )

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






							@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			,						lowerCAmelCase__       ):





										"""simple docstring"""




										if token in self.cache:
													return self.cache[token]
										SCREAMING_SNAKE_CASE_		:     Tuple					=					re.sub('([.,!?()])'			,						r' \1'			,						lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     List[str]					=					re.sub('(\')'			,						r' \1 '			,						lowerCAmelCase__       )
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					re.sub(r'\s{2,}'			,						' '			,						lowerCAmelCase__       )
										if "\n" in token:
													SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					token.replace('\n'			,						' __newln__'       )

										SCREAMING_SNAKE_CASE_		:     Dict					=					token.split(' '       )
										SCREAMING_SNAKE_CASE_		:     List[Any]					=					[]
										for token in tokens:
													if not len(lowerCAmelCase__       ):
																continue

													SCREAMING_SNAKE_CASE_		:     Any					=					token.lower()
													SCREAMING_SNAKE_CASE_		:     Any					=					tuple(lowerCAmelCase__       )
													SCREAMING_SNAKE_CASE_		:     str					=					tuple(list(word[:-1]       ) + [word[-1] + '</w>']       )
													SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					get_pairs(lowerCAmelCase__       )

													if not pairs:
																words.append(lowerCAmelCase__       )
																continue

													while True:
																SCREAMING_SNAKE_CASE_		:     List[str]					=					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_		:     int					=					bigram
																SCREAMING_SNAKE_CASE_		:     str					=					[]
																SCREAMING_SNAKE_CASE_		:     Optional[int]					=					0

																while i < len(lowerCAmelCase__       ):
																			try:
																						SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					word.index(lowerCAmelCase__			,						lowerCAmelCase__       )
																						new_word.extend(word[i:j]       )
																						SCREAMING_SNAKE_CASE_		:     List[Any]					=					j
																			except ValueError:
																						new_word.extend(word[i:]       )
																						break

																			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_		:     Dict					=					tuple(lowerCAmelCase__       )
																SCREAMING_SNAKE_CASE_		:     Union[str, Any]					=					new_word
																if len(lowerCAmelCase__       ) == 1:
																			break
																else:
																			SCREAMING_SNAKE_CASE_		:     str					=					get_pairs(lowerCAmelCase__       )
													SCREAMING_SNAKE_CASE_		:     str					=					'@@ '.join(lowerCAmelCase__       )
													SCREAMING_SNAKE_CASE_		:     Dict					=					word[:-4]

													SCREAMING_SNAKE_CASE_		:     Tuple					=					word
													words.append(lowerCAmelCase__       )
										return " ".join(lowerCAmelCase__       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     List[Any]					=					[]

										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					re.findall(r'\S+\n?'			,						lowerCAmelCase__       )

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






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					token.lower()
										return self.encoder.get(lowerCAmelCase__			,						self.encoder.get(self.unk_token       )       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										return self.decoder.get(lowerCAmelCase__			,						self.unk_token       )






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__       ):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:     Dict					=					' '.join(lowerCAmelCase__       ).replace('@@ '			,						''       ).strip()
										return out_string






							def 					UpperCamelCase__     (      self			,						lowerCAmelCase__			,						lowerCAmelCase__ = None       ):





										"""simple docstring"""




										if not os.path.isdir(lowerCAmelCase__       ):
													logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
													return
										SCREAMING_SNAKE_CASE_		:     int					=					os.path.join(
										    lowerCAmelCase__			,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
										SCREAMING_SNAKE_CASE_		:     List[str]					=					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_		:     Optional[int]					=					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_		:     Tuple					=					token_index
																writer.write(' '.join(lowerCAmelCase__       ) + '\n'       )
																index += 1

										return vocab_file, merge_file









"""simple docstring"""


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
	import torch

	from transformers.activations import gelu_new, gelu_python, get_activation
@require_torch
class     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertTrue(torch.allclose(gelu_python(__a      )       ,  torch_builtin(__a      )      )      )
										self.assertFalse(torch.allclose(gelu_python(__a      )       ,  gelu_new(__a      )      )      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     get_activation("gelu_10"      )

										__lowerCAmelCase							       =     torch_builtin(__a      )
										__lowerCAmelCase							       =     geluaa(__a      )

										__lowerCAmelCase							       =     torch.where(y_gelu_aa < 1_0.0       ,  1       ,  0      )

										self.assertTrue(torch.max(__a      ).item() == 1_0.0      )
										self.assertTrue(torch.allclose(y_gelu * clipped_mask       ,  y_gelu_aa * clipped_mask      )      )

							def      snake_case							(	self      ):
										get_activation("gelu"      )
										get_activation("gelu_10"      )
										get_activation("gelu_fast"      )
										get_activation("gelu_new"      )
										get_activation("gelu_python"      )
										get_activation("gelu_pytorch_tanh"      )
										get_activation("linear"      )
										get_activation("mish"      )
										get_activation("quick_gelu"      )
										get_activation("relu"      )
										get_activation("sigmoid"      )
										get_activation("silu"      )
										get_activation("swish"      )
										get_activation("tanh"      )
										with self.assertRaises(__a      ):
													get_activation("bogus"      )
										with self.assertRaises(__a      ):
													get_activation(__a      )



							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     1
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertEqual(acta.a       ,  1      )
										with self.assertRaises(__a      ):
													__lowerCAmelCase							       =     acta.a




