



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

import regex as re

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


a_								=       logging.get_logger(__name__)


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

a_								=       {
    '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'
        )
    },
}

a_								=       {'facebook/blenderbot_small-90M': 512}





def 		a__      (		_UpperCamelCase      :			Dict				):
   __lowerCamelCase    				=     set()
   __lowerCamelCase    				=     word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)				)
      __lowerCamelCase    				=     char

   __lowerCamelCase    				=     set(A__				)
   return pairs





class 			__lowerCAmelCase  (						__snake_case ):
 lowerCAmelCase__							       =	VOCAB_FILES_NAMES
 lowerCAmelCase__							       =	PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__							       =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCAmelCase__							       =	["""input_ids""", """attention_mask"""]




 def __init__(    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase="__start__"						,					__UpperCAmelCase="__end__"						,					__UpperCAmelCase="__unk__"						,					__UpperCAmelCase="__null__"						,					**__UpperCAmelCase						,					):



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




 @property
 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    return len(self.encoder					)




 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    return dict(self.encoder						,					**self.added_tokens_encoder					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    if token in self.cache:
       return self.cache[token]
    __lowerCamelCase    				=     re.sub('''([.,!?()])'''						,					r''' \1'''						,					__lowerCamelCase					)
    __lowerCamelCase    				=     re.sub('''(\')'''						,					r''' \1 '''						,					__lowerCamelCase					)
    __lowerCamelCase    				=     re.sub(r'''\s{2,}'''						,					''' '''						,					__lowerCamelCase					)
    if "\n" in token:
       __lowerCamelCase    				=     token.replace('''\n'''						,					''' __newln__'''					)

    __lowerCamelCase    				=     token.split(''' '''					)
    __lowerCamelCase    				=     []
    for token in tokens:
       if not len(__lowerCamelCase					):
          continue

       __lowerCamelCase    				=     token.lower()
       __lowerCamelCase    				=     tuple(__lowerCamelCase					)
       __lowerCamelCase    				=     tuple(list(word[:-1]					) + [word[-1] + '''</w>''']					)
       __lowerCamelCase    				=     get_pairs(__lowerCamelCase					)

       if not pairs:
          words.append(__lowerCamelCase					)
          continue

       while True:
          __lowerCamelCase    				=     min(__lowerCamelCase						,					key=lambda __UpperCAmelCase					: self.bpe_ranks.get(__lowerCamelCase						,					float('''inf'''					)					)					)
          if bigram not in self.bpe_ranks:
             break
          __lowerCamelCase				,__lowerCamelCase    				=     bigram
          __lowerCamelCase    				=     []
          __lowerCamelCase    				=     0

          while i < len(__lowerCamelCase					):
             try:
                __lowerCamelCase    				=     word.index(__lowerCamelCase						,					__lowerCamelCase					)
                new_word.extend(word[i:j]					)
                __lowerCamelCase    				=     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
          __lowerCamelCase    				=     tuple(__lowerCamelCase					)
          __lowerCamelCase    				=     new_word
          if len(__lowerCamelCase					) == 1:
             break
          else:
             __lowerCamelCase    				=     get_pairs(__lowerCamelCase					)
       __lowerCamelCase    				=     '''@@ '''.join(__lowerCamelCase					)
       __lowerCamelCase    				=     word[:-4]

       __lowerCamelCase    				=     word
       words.append(__lowerCamelCase					)
    return " ".join(__lowerCamelCase					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     []

    __lowerCamelCase    				=     re.findall(r'''\S+\n?'''						,					__lowerCamelCase					)

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




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     token.lower()
    return self.encoder.get(__lowerCamelCase						,					self.encoder.get(self.unk_token					)					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    return self.decoder.get(__lowerCamelCase						,					self.unk_token					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     ''' '''.join(__lowerCamelCase					).replace('''@@ '''						,					''''''					).strip()
    return out_string




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase = None					):



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

    __lowerCamelCase    				=     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 __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!'''					)
             __lowerCamelCase    				=     token_index
          writer.write(''' '''.join(__lowerCamelCase					) + '''\n'''					)
          index += 1

    return vocab_file, merge_file









import pytest


__A			:					Optional[Any]						=			'__dummy_dataset1__'

__A			:					Optional[int]						=			'\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"}\n\n\nclass __DummyDataset1__(datasets.GeneratorBasedBuilder):\n\n    def _info(self):\n        features = datasets.Features(\n            {\n                "tokens": datasets.Sequence(datasets.Value("string")),\n                "ner_tags": datasets.Sequence(\n                    datasets.features.ClassLabel(\n                        names=[\n                            "O",\n                            "B-PER",\n                            "I-PER",\n                            "B-ORG",\n                            "I-ORG",\n                            "B-LOC",\n                            "I-LOC",\n                        ]\n                    )\n                ),\n                "langs": datasets.Sequence(datasets.Value("string")),\n                "spans": datasets.Sequence(datasets.Value("string")),\n            }\n        )\n        return datasets.DatasetInfo(features=features)\n\n    def _split_generators(self, dl_manager):\n        dl_path = dl_manager.download(URLS)\n        return [\n            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}),\n            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}),\n        ]\n\n    def _generate_examples(self, filepath):\n        with open(filepath, "r", encoding="utf-8") as f:\n            for i, line in enumerate(f):\n                yield i, json.loads(line)\n'





@pytest.fixture
def 	__a     (      ):
    return DATASET_LOADING_SCRIPT_NAME





@pytest.fixture
def 	__a     (      ):
    return DATASET_LOADING_SCRIPT_CODE





@pytest.fixture
def 	__a     (      A__			:  Optional[Any]			,  A__			:  List[str]			,  A__			:  Optional[int]       ):
    SCREAMING_SNAKE_CASE										=   dataset_loading_script_name
    SCREAMING_SNAKE_CASE										=   tmp_path / "datasets" / script_name
    script_dir.mkdir(parents=A__       )
    SCREAMING_SNAKE_CASE										=   script_dir / F"{script_name}.py"
    with open(A__			,  "w"       ) as f:
        f.write(A__       )
    return str(A__       )