



import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


lowercase_								=     logging.get_logger(__name__)

lowercase_								=     {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowercase_								=     {
    """vocab_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
        ),
    },
    """tokenizer_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/tokenizer.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/tokenizer.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json""",
        """roberta-base-openai-detector""": (
            """https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json"""
        ),
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json"""
        ),
    },
}

lowercase_								=     {
    """roberta-base""": 512,
    """roberta-large""": 512,
    """roberta-large-mnli""": 512,
    """distilroberta-base""": 512,
    """roberta-base-openai-detector""": 512,
    """roberta-large-openai-detector""": 512,
}
class 				_snake_case			(					lowercase__):
				UpperCamelCase__				:					int     		=VOCAB_FILES_NAMES
				UpperCamelCase__				:					Union[str, Any]     		=PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__				:					Any     		=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__				:					Any     		=["""input_ids""", """attention_mask"""]
				UpperCamelCase__				:					Optional[int]     		=RobertaTokenizer




				def __init__(						self					:						List[str],					__lowercase					:						Optional[Any]=None,					__lowercase					:						List[str]=None,					__lowercase					:						Any=None,					__lowercase					:						Optional[int]="replace",					__lowercase					:						List[Any]="<s>",					__lowercase					:						str="</s>",					__lowercase					:						List[Any]="</s>",					__lowercase					:						int="<s>",					__lowercase					:						Dict="<unk>",					__lowercase					:						List[Any]="<pad>",					__lowercase					:						List[str]="<mask>",					__lowercase					:						Tuple=False,					__lowercase					:						str=True,					**__lowercase					:						Tuple,					):
							super().__init__(
							    __lowercase,					__lowercase,					tokenizer_file=__lowercase,					errors=__lowercase,					bos_token=__lowercase,					eos_token=__lowercase,					sep_token=__lowercase,					cls_token=__lowercase,					unk_token=__lowercase,					pad_token=__lowercase,					mask_token=__lowercase,					add_prefix_space=__lowercase,					trim_offsets=__lowercase,					**__lowercase,					)

							lowercase__					  =				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
							if pre_tok_state.get("add_prefix_space",					__lowercase						) != add_prefix_space:
										lowercase__					  =				getattr(__lowercase,					pre_tok_state.pop("type"						)						)
										lowercase__					  =				add_prefix_space
										lowercase__					  =				pre_tok_class(**__lowercase						)

							lowercase__					  =				add_prefix_space

							lowercase__					  =				"post_processor"
							lowercase__					  =				getattr(self.backend_tokenizer,					__lowercase,					__lowercase						)
							if tokenizer_component_instance:
										lowercase__					  =				json.loads(tokenizer_component_instance.__getstate__()						)

										# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
										if "sep" in state:
													lowercase__					  =				tuple(state["sep"]						)
										if "cls" in state:
													lowercase__					  =				tuple(state["cls"]						)

										lowercase__					  =				False

										if state.get("add_prefix_space",					__lowercase						) != add_prefix_space:
													lowercase__					  =				add_prefix_space
													lowercase__					  =				True

										if state.get("trim_offsets",					__lowercase						) != trim_offsets:
													lowercase__					  =				trim_offsets
													lowercase__					  =				True

										if changes_to_apply:
													lowercase__					  =				getattr(__lowercase,					state.pop("type"						)						)
													lowercase__					  =				component_class(**__lowercase						)
													setattr(self.backend_tokenizer,					__lowercase,					__lowercase						)




				@property
				def 							A__      (						self					:						Optional[int]						):
							if self._mask_token is None:
										if self.verbose:
													logger.error("Using mask_token, but it is not set yet."						)
										return None
							return str(self._mask_token						)




				@mask_token.setter
				def 							A__      (						self					:						List[str],					__lowercase					:						Any						):
							lowercase__					  =				AddedToken(__lowercase,					lstrip=__lowercase,					rstrip=__lowercase						) if isinstance(__lowercase,					__lowercase						) else value
							lowercase__					  =				value




				def 							A__      (						self					:						List[Any],					*__lowercase					:						Tuple,					**__lowercase					:						Any						):
							lowercase__					  =				kwargs.get("is_split_into_words",					__lowercase						)
							assert self.add_prefix_space or not is_split_into_words, (
							    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
							    "to use it with pretokenized inputs."
							)

							return super()._batch_encode_plus(*__lowercase,					**__lowercase						)




				def 							A__      (						self					:						List[Any],					*__lowercase					:						Tuple,					**__lowercase					:						int						):
							lowercase__					  =				kwargs.get("is_split_into_words",					__lowercase						)

							assert self.add_prefix_space or not is_split_into_words, (
							    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
							    "to use it with pretokenized inputs."
							)

							return super()._encode_plus(*__lowercase,					**__lowercase						)




				def 							A__      (						self					:						List[Any],					__lowercase					:						str,					__lowercase					:						Optional[str] = None						):
							lowercase__					  =				self._tokenizer.model.save(__lowercase,					name=__lowercase						)
							return tuple(__lowercase						)




				def 							A__      (						self					:						Any,					__lowercase					:						Tuple,					__lowercase					:						Union[str, Any]=None						):
							lowercase__					  =				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
							if token_ids_a is None:
										return output

							return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




				def 							A__      (						self					:						Dict,					__lowercase					:						List[int],					__lowercase					:						Optional[List[int]] = None						):
							lowercase__					  =				[self.sep_token_id]
							lowercase__					  =				[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]









import re
from pathlib import Path
from unittest import TestCase

import pytest
@pytest.mark.integration
class 				_snake_case			(					lowercase__):




				def 							A__      (						self					:						Optional[Any],					__lowercase					:						str						):

							with open(__lowercase,					encoding="utf-8"						) as input_file:
										lowercase__					  =				re.compile(R"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"						)
										lowercase__					  =				input_file.read()
										lowercase__					  =				regexp.search(__lowercase						)

							return match




				def 							A__      (						self					:						str,					__lowercase					:						str						):

							with open(__lowercase,					encoding="utf-8"						) as input_file:
										lowercase__					  =				re.compile(R"#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()",					re.DOTALL						)
										lowercase__					  =				input_file.read()
										# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
										lowercase__					  =				regexp.finditer(__lowercase						)

							lowercase__					  =				[match for match in matches if match is not None and match.group(1						) is not None]
							return matches[0] if matches else None




				def 							A__      (						self					:						Union[str, Any]						):
							lowercase__					  =				Path("./datasets"						)
							lowercase__					  =				list(dataset_paths.absolute().glob("**/*.py"						)						)

							for dataset in dataset_files:
										if self._no_encoding_on_file_open(str(__lowercase						)						):
													raise AssertionError(F'''open(...) must use utf-8 encoding in {dataset}'''						)




				def 							A__      (						self					:						Union[str, Any]						):
							lowercase__					  =				Path("./datasets"						)
							lowercase__					  =				list(dataset_paths.absolute().glob("**/*.py"						)						)

							for dataset in dataset_files:
										if self._no_print_statements(str(__lowercase						)						):
													raise AssertionError(F'''print statement found in {dataset}. Use datasets.logger/logging instead.'''						)




