'''simple docstring'''

import numpy as np
import torch
from torch.utils.data import Dataset

from utils import logger



class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       def __init__(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  List[Any]:
        lowercase__    :   List[Any]						= params

        lowercase__    :   List[Any]						= np.array(__lowerCAmelCase			)
        lowercase__    :   Dict						= np.array([len(__lowerCAmelCase			) for t in data]			)

        self.check()
        self.remove_long_sequences()
        self.remove_empty_sequences()
        self.remove_unknown_sequences()
        self.check()
        self.print_statistics()

       def __getitem__(						self     ,       __lowerCAmelCase			)  ->  Dict:
        return (self.token_ids[index], self.lengths[index])

       def __len__(						self			)  ->  List[Any]:
        return len(self.lengths			)

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        assert len(self.token_ids			) == len(self.lengths			)
        assert all(self.lengths[i] == len(self.token_ids[i]			) for i in range(len(self.lengths			)			)			)

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        lowercase__    :   Optional[int]						= self.params.max_model_input_size
        lowercase__    :   Dict						= self.lengths > max_len
        logger.info(F"""Splitting {sum(__lowerCAmelCase			)} too long sequences."""			)

        def divide_chunks(__lowerCAmelCase     ,       __lowerCAmelCase			):
         return [l[i : i + n] for i in range(0     ,       len(__lowerCAmelCase			)     ,       __lowerCAmelCase			)]

        lowercase__    :   List[str]						= []
        lowercase__    :   Tuple						= []
        if self.params.mlm:
         lowercase__			,							lowercase__    :   Dict						= self.params.special_tok_ids['''cls_token'''], self.params.special_tok_ids['''sep_token''']
        else:
         lowercase__			,							lowercase__    :   Optional[Any]						= self.params.special_tok_ids['''bos_token'''], self.params.special_tok_ids['''eos_token''']

        for seq_, len_ in zip(self.token_ids     ,       self.lengths			):
         assert (seq_[0] == cls_id) and (seq_[-1] == sep_id), seq_
         if len_ <= max_len:
          new_tok_ids.append(seq_			)
          new_lengths.append(len_			)
         else:
          lowercase__    :   List[str]						= []
          for sub_s in divide_chunks(seq_     ,       max_len - 2			):
           if sub_s[0] != cls_id:
            lowercase__    :   List[Any]						= np.insert(__lowerCAmelCase     ,       0     ,       __lowerCAmelCase			)
           if sub_s[-1] != sep_id:
            lowercase__    :   List[Any]						= np.insert(__lowerCAmelCase     ,       len(__lowerCAmelCase			)     ,       __lowerCAmelCase			)
           assert len(__lowerCAmelCase			) <= max_len
           assert (sub_s[0] == cls_id) and (sub_s[-1] == sep_id), sub_s
           sub_seqs.append(__lowerCAmelCase			)

          new_tok_ids.extend(__lowerCAmelCase			)
          new_lengths.extend([len(__lowerCAmelCase			) for l in sub_seqs]			)

        lowercase__    :   Tuple						= np.array(__lowerCAmelCase			)
        lowercase__    :   Tuple						= np.array(__lowerCAmelCase			)

       def _lowerCAmelCase(						self			)  ->  Optional[Any]:
        lowercase__    :   str						= len(self			)
        lowercase__    :   int						= self.lengths > 11
        lowercase__    :   Optional[int]						= self.token_ids[indices]
        lowercase__    :   int						= self.lengths[indices]
        lowercase__    :   Optional[Any]						= len(self			)
        logger.info(F"""Remove {init_size - new_size} too short (<=11 tokens) sequences."""			)

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        if "unk_token" not in self.params.special_tok_ids:
         return
        else:
         lowercase__    :   Any						= self.params.special_tok_ids['''unk_token''']
        lowercase__    :   List[str]						= len(self			)
        lowercase__    :   int						= np.array([np.count_nonzero(a == unk_token_id			) for a in self.token_ids]			)
        lowercase__    :   Dict						= (unk_occs / self.lengths) < 0.5
        lowercase__    :   Tuple						= self.token_ids[indices]
        lowercase__    :   str						= self.lengths[indices]
        lowercase__    :   Optional[Any]						= len(self			)
        logger.info(F"""Remove {init_size - new_size} sequences with a high level of unknown tokens (50%)."""			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        if not self.params.is_master:
         return
        logger.info(F"""{len(self			)} sequences"""			)
        # data_len = sum(self.lengths)
        # nb_unique_tokens = len(Counter(list(chain(*self.token_ids))))
        # logger.info(f'{data_len} tokens ({nb_unique_tokens} unique)')

        # unk_idx = self.params.special_tok_ids['unk_token']
        # nb_unknown = sum([(t==unk_idx).sum() for t in self.token_ids])
        # logger.info(f'{nb_unknown} unknown tokens (covering {100*nb_unknown/data_len:.2f}% of the data)')


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  int:
        lowercase__    :   Any						= [t[0] for t in batch]
        lowercase__    :   Optional[int]						= [t[1] for t in batch]
        assert len(__lowerCAmelCase			) == len(__lowerCAmelCase			)

        # Max for paddings
        lowercase__    :   List[str]						= max(__lowerCAmelCase			)

        # Pad token ids
        if self.params.mlm:
         lowercase__    :   List[str]						= self.params.special_tok_ids['''pad_token''']
        else:
         lowercase__    :   Tuple						= self.params.special_tok_ids['''unk_token''']
        lowercase__    :   Any						= [list(t.astype(__lowerCAmelCase			)			) + [pad_idx] * (max_seq_len_ - len(__lowerCAmelCase			)) for t in token_ids]
        assert len(tk_			) == len(__lowerCAmelCase			)
        assert all(len(__lowerCAmelCase			) == max_seq_len_ for t in tk_			)

        lowercase__    :   Optional[int]						= torch.tensor(tk_			)  # (bs, max_seq_len_)
        lowercase__    :   Optional[int]						= torch.tensor(__lowerCAmelCase			)  # (bs)
        return tk_t, lg_t


'''simple docstring'''

import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin



class       UpperCAmelCase  (						a__   ,						unittest.TestCase ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   ProphetNetTokenizer
       SCREAMING_SNAKE_CASE 		=   False

       def _lowerCAmelCase(						self			)  ->  Any:
        super().setUp()

        lowercase__    :   Tuple						= [
            '''[UNK]''',
            '''[CLS]''',
            '''[SEP]''',
            '''[PAD]''',
            '''[MASK]''',
            '''want''',
            '''##want''',
            '''##ed''',
            '''wa''',
            '''un''',
            '''runn''',
            '''##ing''',
            ''',''',
            '''low''',
            '''lowest''',
        ]
        lowercase__    :   List[str]						= os.path.join(self.tmpdirname     ,       VOCAB_FILES_NAMES['''vocab_file''']			)
        with open(self.vocab_file     ,       '''w'''     ,       encoding='''utf-8'''			) as vocab_writer:
         vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        lowercase__    :   Union[str, Any]						= '''UNwant\u00E9d,running'''
        lowercase__    :   List[Any]						= '''unwanted, running'''
        return input_text, output_text

       def _lowerCAmelCase(						self			)  ->  Any:
        lowercase__    :   List[str]						= self.tokenizer_class(self.vocab_file			)

        lowercase__    :   Union[str, Any]						= tokenizer.tokenize('''UNwant\u00E9d,running'''			)
        self.assertListEqual(__lowerCAmelCase     ,       ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']			)
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase			)     ,       [9, 6, 7, 12, 10, 11]			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        lowercase__    :   List[str]						= BasicTokenizer()

        self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''			)     ,       ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']			)

       def _lowerCAmelCase(						self			)  ->  Tuple:
        lowercase__    :   List[Any]						= BasicTokenizer(do_lower_case=__lowerCAmelCase			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''			)     ,       ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']			)
        self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''			)     ,       ['''hello''']			)

       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        lowercase__    :   Optional[int]						= BasicTokenizer(do_lower_case=__lowerCAmelCase     ,       strip_accents=__lowerCAmelCase			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''			)     ,       ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']			)
        self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''			)     ,       ['''h\u00E9llo''']			)

       def _lowerCAmelCase(						self			)  ->  Tuple:
        lowercase__    :   str						= BasicTokenizer(do_lower_case=__lowerCAmelCase     ,       strip_accents=__lowerCAmelCase			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''			)     ,       ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']			)
        self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''			)     ,       ['''hello''']			)

       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   Union[str, Any]						= BasicTokenizer(do_lower_case=__lowerCAmelCase			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''			)     ,       ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']			)
        self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''			)     ,       ['''hello''']			)

       def _lowerCAmelCase(						self			)  ->  List[Any]:
        lowercase__    :   int						= BasicTokenizer(do_lower_case=__lowerCAmelCase			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''			)     ,       ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        lowercase__    :   Tuple						= BasicTokenizer(do_lower_case=__lowerCAmelCase     ,       strip_accents=__lowerCAmelCase			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''			)     ,       ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']			)

       def _lowerCAmelCase(						self			)  ->  Any:
        lowercase__    :   Tuple						= BasicTokenizer(do_lower_case=__lowerCAmelCase     ,       strip_accents=__lowerCAmelCase			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''			)     ,       ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']			)

       def _lowerCAmelCase(						self			)  ->  Optional[int]:
        lowercase__    :   Optional[int]						= BasicTokenizer(do_lower_case=__lowerCAmelCase     ,       never_split=['''[UNK]''']			)

        self.assertListEqual(
            tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''			)     ,       ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']			)

       def _lowerCAmelCase(						self			)  ->  int:
        lowercase__    :   Union[str, Any]						= ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

        lowercase__    :   Union[str, Any]						= {}
        for i, token in enumerate(__lowerCAmelCase			):
         lowercase__    :   List[Any]						= i
        lowercase__    :   Dict						= WordpieceTokenizer(vocab=__lowerCAmelCase     ,       unk_token='''[UNK]'''			)

        self.assertListEqual(tokenizer.tokenize(''''''			)     ,       []			)

        self.assertListEqual(tokenizer.tokenize('''unwanted running'''			)     ,       ['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']			)

        self.assertListEqual(tokenizer.tokenize('''unwantedX running'''			)     ,       ['''[UNK]''', '''runn''', '''##ing''']			)

       @require_torch
       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        lowercase__    :   Union[str, Any]						= self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''			)

        lowercase__    :   Optional[int]						= ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
        lowercase__    :   Dict						= [1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102]
        lowercase__    :   int						= tokenizer(__lowerCAmelCase     ,       padding=__lowerCAmelCase     ,       return_tensors='''pt'''			)
        self.assertIsInstance(__lowerCAmelCase     ,       __lowerCAmelCase			)
        lowercase__    :   Optional[int]						= list(batch.input_ids.numpy()[0]			)
        self.assertListEqual(__lowerCAmelCase     ,       __lowerCAmelCase			)

        self.assertEqual((2, 9)     ,       batch.input_ids.shape			)
        self.assertEqual((2, 9)     ,       batch.attention_mask.shape			)

       def _lowerCAmelCase(						self			)  ->  str:
        self.assertTrue(_is_whitespace(''' '''			)			)
        self.assertTrue(_is_whitespace('''\t'''			)			)
        self.assertTrue(_is_whitespace('''\r'''			)			)
        self.assertTrue(_is_whitespace('''\n'''			)			)
        self.assertTrue(_is_whitespace('''\u00A0'''			)			)

        self.assertFalse(_is_whitespace('''A'''			)			)
        self.assertFalse(_is_whitespace('''-'''			)			)

       def _lowerCAmelCase(						self			)  ->  Optional[Any]:
        self.assertTrue(_is_control('''\u0005'''			)			)

        self.assertFalse(_is_control('''A'''			)			)
        self.assertFalse(_is_control(''' '''			)			)
        self.assertFalse(_is_control('''\t'''			)			)
        self.assertFalse(_is_control('''\r'''			)			)

       def _lowerCAmelCase(						self			)  ->  Dict:
        self.assertTrue(_is_punctuation('''-'''			)			)
        self.assertTrue(_is_punctuation('''$'''			)			)
        self.assertTrue(_is_punctuation('''`'''			)			)
        self.assertTrue(_is_punctuation('''.'''			)			)

        self.assertFalse(_is_punctuation('''A'''			)			)
        self.assertFalse(_is_punctuation(''' '''			)			)


       @slow
       def _lowerCAmelCase(						self			)  ->  Optional[Any]:
        lowercase__    :   List[Any]						= self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''			)

        lowercase__    :   List[str]						= tokenizer.encode('''sequence builders'''     ,       add_special_tokens=__lowerCAmelCase			)
        lowercase__    :   Optional[int]						= tokenizer.encode('''multi-sequence build'''     ,       add_special_tokens=__lowerCAmelCase			)

        lowercase__    :   Tuple						= tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase			)
        lowercase__    :   List[str]						= tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase     ,       __lowerCAmelCase			)

        assert encoded_sentence == text + [102]
        assert encoded_pair == text + [102] + text_a + [102]

