




'''simple docstring'''







import torch

from transformers import AutoTokenizer


class       _a  (     __a			):
       def __init__(     self						:     Dict       ,    lowercase						:     Dict    ):



           '''simple docstring'''

           UpperCAmelCase      	=		AutoTokenizer.from_pretrained(lowercase    )
       def    A				(     self						:     List[Any]       ,    lowercase						:     Any    ):



           '''simple docstring'''

           if isinstance(lowercase       ,    lowercase    ) and all(isinstance(_x       ,    lowercase    ) for _x in x    ):
               UpperCAmelCase      	=		None
               for l in x:
                   UpperCAmelCase      	=		self.tokenizer(
                       lowercase       ,    padding='''max_length'''       ,    max_length=384       ,    truncation=lowercase       ,    return_tensors='''pt'''       ,    )
                   UpperCAmelCase      	=		torch.tensor([len(lowercase    )]    )
                   if d is not None:
                       for k in d.keys():
                           UpperCAmelCase      	=		torch.cat((d[k], t[k])       ,    0    )
                   else:
                       UpperCAmelCase      	=		t

               UpperCAmelCase      	=		torch.tensor(self.tokenizer.convert_tokens_to_ids('''[E]'''    )    )
               UpperCAmelCase      	=		torch.tensor(self.tokenizer.convert_tokens_to_ids('''[/E]'''    )    )

           elif isinstance(lowercase       ,    lowercase    ) and all(isinstance(_x       ,    lowercase    ) for _x in x    ):
               UpperCAmelCase      	=		self.tokenizer(
                   lowercase       ,    padding='''max_length'''       ,    max_length=384       ,    truncation=lowercase       ,    return_tensors='''pt'''       ,    )

           else:
               raise Exception(
                   '''Type of parameter x was not recognized! Only `list of strings` for query or `list of lists of'''
                   ''' strings` for supports are supported.'''    )

           return d







       def    A				(     self						:     Optional[int]       ,    lowercase						:     List[Any]       ,    lowercase						:     int       ,    lowercase						:     List[Any]       ,    lowercase						:     Dict       ,    lowercase						:     List[str]=0.70    ):



           '''simple docstring'''

           UpperCAmelCase      	=		[]
           for idx in range(len(W_query['''input_ids''']    )    ):
               UpperCAmelCase      	=		UpperCAmelCase      	=		range(p_start.shape[1]    )

               UpperCAmelCase      	=		[]
               for start_id in start_indexes:
                   for end_id in end_indexes:
                       if start_id < end_id:
                           output.append(
                               (
                                   start_id,
                                   end_id,
                                   p_start[idx][start_id].item(),
                                   p_end[idx][end_id].item(),
                               )    )

               output.sort(key=lambda lowercase    : (tup[2] * tup[3])       ,    reverse=lowercase    )
               UpperCAmelCase      	=		[]
               for k in range(len(lowercase    )    ):
                   if output[k][2] * output[k][3] >= thresh:
                       UpperCAmelCase	,					UpperCAmelCase      	=		output[k][0], output[k][1]
                       UpperCAmelCase      	=		self.tokenizer.decode(W_query['''input_ids'''][idx][c_start_pos:c_end_pos]    )
                       temp.append((decoded, output[k][2] * output[k][3])    )

               final_outputs.append(lowercase    )

           return final_outputs










'''simple docstring'''







import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase


@require_tokenizers
class       _a  (     unittest.TestCase			):
       __a    :					Optional[int]           = EsmTokenizer
       def    A				(     self						:     Tuple    ):



           '''simple docstring'''

           super().setUp()
           UpperCAmelCase      	=		tempfile.mkdtemp()
           # fmt: off
           UpperCAmelCase      	=		["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
           # fmt: on
           UpperCAmelCase      	=		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    A				(     self						:     Union[str, Any]       ,    **lowercase						:     Tuple    ):



           '''simple docstring'''

           return [self.get_tokenizer(**lowercase    )]
       def    A				(     self						:     Optional[Any]       ,    **lowercase						:     str    ):



           '''simple docstring'''

           return self.tokenizer_class.from_pretrained(self.tmpdirname       ,    **lowercase    )
       def    A				(     self						:     Optional[Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class(self.vocab_file    )

           UpperCAmelCase      	=		tokenizer.tokenize('''LAGVS'''    )
           self.assertListEqual(lowercase       ,    ['''L''', '''A''', '''G''', '''V''', '''S''']    )
           self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase    )       ,    [4, 5, 6, 7, 8]    )
       def    A				(     self						:     str    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class(self.vocab_file    )

           UpperCAmelCase      	=		'''LAGVS'''
           self.assertListEqual(tokenizer.encode(lowercase    )       ,    [0, 4, 5, 6, 7, 8, 2]    )
       def    A				(     self						:     Optional[Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class(self.vocab_file    )

           UpperCAmelCase      	=		['''LAGVS''', '''WCB''']
           UpperCAmelCase      	=		tokenizer(lowercase       ,    padding=lowercase    )['''input_ids''']

           self.assertListEqual(lowercase       ,    [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]    )
       def    A				(     self						:     Union[str, Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class(self.vocab_file    )

           UpperCAmelCase      	=		['''LAGVS''', '''WCB''']
           UpperCAmelCase      	=		tokenizer(lowercase       ,    padding=lowercase    )['''input_ids''']

           self.assertListEqual(lowercase       ,    [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]    )







       def    A				(     self						:     Any    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.get_tokenizers(fast=lowercase    )
           for tokenizer in tokenizers:
               with self.subTest(f"{tokenizer.__class__.__name__}"    ):
                   UpperCAmelCase      	=		'''<unk>'''
                   UpperCAmelCase      	=		'''<mask>'''

                   UpperCAmelCase      	=		tokenizer.tokenize(lowercase    )
                   UpperCAmelCase      	=		tokenizer.tokenize(lowercase    )

                   self.assertEqual(len(lowercase    )       ,    1    )
                   self.assertEqual(len(lowercase    )       ,    1    )
                   self.assertEqual(token_a[0]       ,    lowercase    )
                   self.assertEqual(token_a[0]       ,    lowercase    )




