
"""simple docstring"""




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_pegasus import PegasusTokenizer
else:
						lowerCAmelCase__							=				None


lowerCAmelCase__							=				logging.get_logger(__name__)


lowerCAmelCase__							=				'▁'

lowerCAmelCase__							=				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase__							=				{
    'vocab_file': {'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'},
    'tokenizer_file': {
        'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'
    },
}

lowerCAmelCase__							=				{
    'google/pegasus-xsum': 512,
}





class  snake_case     (							__lowercase   ):
							UpperCAmelCase__						     =      VOCAB_FILES_NAMES
							UpperCAmelCase__						     =      PRETRAINED_VOCAB_FILES_MAP
							UpperCAmelCase__						     =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCAmelCase__						     =      PegasusTokenizer
							UpperCAmelCase__						     =      ['''input_ids''', '''attention_mask''']

							def __init__(self       ,       SCREAMING_SNAKE_CASE_=None       ,       SCREAMING_SNAKE_CASE_=None       ,       SCREAMING_SNAKE_CASE_="<pad>"       ,       SCREAMING_SNAKE_CASE_="</s>"       ,       SCREAMING_SNAKE_CASE_="<unk>"       ,       SCREAMING_SNAKE_CASE_="<mask_2>"       ,       SCREAMING_SNAKE_CASE_="<mask_1>"       ,       SCREAMING_SNAKE_CASE_=None       ,       SCREAMING_SNAKE_CASE_=1_03       ,       **SCREAMING_SNAKE_CASE_       ,       ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = offset

									if additional_special_tokens is not None:
											if not isinstance(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):
													raise TypeError(
													    f'additional_special_tokens should be of type {type(SCREAMING_SNAKE_CASE_    )}, but is'
													    f' {type(SCREAMING_SNAKE_CASE_    )}'    )

											SCREAMING_SNAKE_CASE_						 = (
											    ([mask_token_sent] + additional_special_tokens)
											    if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
											    else additional_special_tokens
											)
											# fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
											additional_special_tokens_extended += [
											    f'<unk_{i}>' for i in range(len(SCREAMING_SNAKE_CASE_    )       ,       self.offset - 1    )
											]

											if len(set(SCREAMING_SNAKE_CASE_    )    ) != len(SCREAMING_SNAKE_CASE_    ):
													raise ValueError(
													    '''Please make sure that the provided additional_special_tokens do not contain an incorrectly'''
													    f' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'    )
											SCREAMING_SNAKE_CASE_						 = additional_special_tokens_extended
									else:
											SCREAMING_SNAKE_CASE_						 = [mask_token_sent] if mask_token_sent is not None else []
											additional_special_tokens += [f'<unk_{i}>' for i in range(2       ,       self.offset    )]

									super().__init__(
									    SCREAMING_SNAKE_CASE_       ,       tokenizer_file=SCREAMING_SNAKE_CASE_       ,       pad_token=SCREAMING_SNAKE_CASE_       ,       eos_token=SCREAMING_SNAKE_CASE_       ,       unk_token=SCREAMING_SNAKE_CASE_       ,       mask_token=SCREAMING_SNAKE_CASE_       ,       mask_token_sent=SCREAMING_SNAKE_CASE_       ,       offset=SCREAMING_SNAKE_CASE_       ,       additional_special_tokens=SCREAMING_SNAKE_CASE_       ,       **SCREAMING_SNAKE_CASE_       ,       )
									SCREAMING_SNAKE_CASE_						 = vocab_file
									SCREAMING_SNAKE_CASE_						 = False if not self.vocab_file else True

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = set(self.all_special_ids    )  # call it once instead of inside list comp
									all_special_ids.remove(self.unk_token_id    )  # <unk> is only sometimes special

									if all_special_ids != set(range(len(self.additional_special_tokens    ) + 3    )    ):
											raise ValueError(
											    '''There should be 3 special tokens: mask_token, pad_token, and eos_token +'''
											    f' {len(self.additional_special_tokens    )} additional_special_tokens, but got {all_special_ids}'    )

									return [1 if x in all_special_ids else 0 for x in seq]

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_ = None       ,       SCREAMING_SNAKE_CASE_ = False    ):

									"""simple docstring"""







									if already_has_special_tokens:
											return self._special_token_mask(SCREAMING_SNAKE_CASE_    )
									elif token_ids_a is None:
											return self._special_token_mask(SCREAMING_SNAKE_CASE_    ) + [1]
									else:
											return self._special_token_mask(token_ids_a + token_ids_a    ) + [1]

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_=None    ):

									"""simple docstring"""







									if token_ids_a is None:
											return token_ids_a + [self.eos_token_id]
									# We don't expect to process pairs, but leave the pair logic for API consistency
									return token_ids_a + token_ids_a + [self.eos_token_id]







							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_ = None    ):

									"""simple docstring"""







									if not self.can_save_slow_tokenizer:
											raise ValueError(
											    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
											    '''tokenizer.'''    )

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

									if os.path.abspath(self.vocab_file    ) != os.path.abspath(SCREAMING_SNAKE_CASE_    ):
											copyfile(self.vocab_file       ,       SCREAMING_SNAKE_CASE_    )

									return (out_vocab_file,)

"""simple docstring"""




import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class  snake_case     (							__lowercase       ,			unittest.TestCase   ):
							UpperCAmelCase__						     =      CTRLTokenizer
							UpperCAmelCase__						     =      False
							UpperCAmelCase__						     =      False

							def _lowercase					(self    ):

									"""simple docstring"""







									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									SCREAMING_SNAKE_CASE_						 = ['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
									SCREAMING_SNAKE_CASE_						 = dict(zip(SCREAMING_SNAKE_CASE_       ,       range(len(SCREAMING_SNAKE_CASE_    )    )    )    )
									SCREAMING_SNAKE_CASE_						 = ['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
									SCREAMING_SNAKE_CASE_						 = {'''unk_token''': '''<unk>'''}

									SCREAMING_SNAKE_CASE_						 = os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['''vocab_file''']    )
									SCREAMING_SNAKE_CASE_						 = os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['''merges_file''']    )
									with open(self.vocab_file       ,       '''w'''       ,       encoding='''utf-8'''    ) as fp:
											fp.write(json.dumps(SCREAMING_SNAKE_CASE_    ) + '''\n'''    )
									with open(self.merges_file       ,       '''w'''       ,       encoding='''utf-8'''    ) as fp:
											fp.write('''\n'''.join(SCREAMING_SNAKE_CASE_    )    )

							def _lowercase					(self       ,       **SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									kwargs.update(self.special_tokens_map    )
									return CTRLTokenizer.from_pretrained(self.tmpdirname       ,       **SCREAMING_SNAKE_CASE_    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									return input_text, output_text







							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = CTRLTokenizer(self.vocab_file       ,       self.merges_file       ,       **self.special_tokens_map    )
									SCREAMING_SNAKE_CASE_						 = '''adapt react readapt apt'''
									SCREAMING_SNAKE_CASE_						 = '''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
									SCREAMING_SNAKE_CASE_						 = tokenizer.tokenize(SCREAMING_SNAKE_CASE_    )
									self.assertListEqual(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )

									SCREAMING_SNAKE_CASE_						 = tokens + [tokenizer.unk_token]

									SCREAMING_SNAKE_CASE_						 = [0, 1, 2, 4, 5, 1, 0, 3, 6]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_    )       ,       SCREAMING_SNAKE_CASE_    )