




from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


snake_case__ :						List[Any]     =			logging.get_logger(__name__)





class     snake_case  (	_snake_case							):


   '''simple docstring'''







   UpperCamelCase__	:       List[Any]     =      ["input_ids", "attention_mask"]




   def __init__(					self     :	Tuple						,    lowerCamelCase_     :	Optional[Any]="[PAD]"						,    lowerCamelCase_     :	Any="[BOS]"						,    lowerCamelCase_     :	Optional[Any]="[EOS]"						,    lowerCamelCase_     :	List[str]="[MASK]"						,    lowerCamelCase_     :	Tuple="[CLS]"						,    lowerCamelCase_     :	int="[SEP]"						,    lowerCamelCase_     :	Tuple=2048						,    **lowerCamelCase_     :	List[str]						,    )					->None:
     '''simple docstring'''







     UpperCAmelCase__    						=   AddedToken(lowerCamelCase_						,    lstrip=lowerCamelCase_						,    rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_						,    lowerCamelCase_			) else pad_token
     UpperCAmelCase__    						=   AddedToken(lowerCamelCase_						,    lstrip=lowerCamelCase_						,    rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_						,    lowerCamelCase_			) else bos_token
     UpperCAmelCase__    						=   AddedToken(lowerCamelCase_						,    lstrip=lowerCamelCase_						,    rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_						,    lowerCamelCase_			) else eos_token
     UpperCAmelCase__    						=   AddedToken(lowerCamelCase_						,    lstrip=lowerCamelCase_						,    rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_						,    lowerCamelCase_			) else mask_token
     UpperCAmelCase__    						=   AddedToken(lowerCamelCase_						,    lstrip=lowerCamelCase_						,    rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_						,    lowerCamelCase_			) else cls_token
     UpperCAmelCase__    						=   AddedToken(lowerCamelCase_						,    lstrip=lowerCamelCase_						,    rstrip=lowerCamelCase_			) if isinstance(lowerCamelCase_						,    lowerCamelCase_			) else sep_token

     super().__init__(
         pad_token=lowerCamelCase_						,    bos_token=lowerCamelCase_						,    eos_token=lowerCamelCase_						,    mask_token=lowerCamelCase_						,    cls_token=lowerCamelCase_						,    sep_token=lowerCamelCase_						,    model_max_length=lowerCamelCase_						,    **lowerCamelCase_						,    )

     UpperCAmelCase__    						=   2**8  # utf is 8 bits

     # define special tokens dict
     UpperCAmelCase__    						=   {
         self.pad_token: 0,
         self.bos_token: 1,
         self.eos_token: 2,
         self.mask_token: 3,
         self.cls_token: 4,
         self.sep_token: 5,
     }
     UpperCAmelCase__    						=   len(self.special_tokens_encoder			)
     UpperCAmelCase__    						=   {v: k for k, v in self.special_tokens_encoder.items()}




   def 	UpperCAmelCase       (					self     :	Optional[int]			)					->Dict[str, int]:
     '''simple docstring'''







     UpperCAmelCase__    						=   self.special_tokens_encoder.copy()
     vocab.update(self.added_tokens_encoder			)
     for i in range(self._utf_vocab_size			):
       UpperCAmelCase__    						=   chr(lowerCamelCase_			)
       UpperCAmelCase__    						=   i + len(self.special_tokens_encoder			)
     return vocab




   @property
   def 	UpperCAmelCase       (					self     :	Optional[int]			)					->List[Any]:
     '''simple docstring'''







     return self._utf_vocab_size + self._num_special_tokens




   def 	UpperCAmelCase       (					self     :	Optional[int]						,    lowerCamelCase_     :	List[int]						,    lowerCamelCase_     :	Optional[List[int]] = None						,    lowerCamelCase_     :	bool = False			)					->List[int]:
     '''simple docstring'''







     if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=lowerCamelCase_						,    token_ids_a=lowerCamelCase_						,    already_has_special_tokens=lowerCamelCase_			)

     # normal case: some special tokens
     if token_ids_a is None:
       return [1] + [0] * len(lowerCamelCase_			) + [1]
     return [1] + ([0] * len(lowerCamelCase_			)) + [1] + ([0] * len(lowerCamelCase_			)) + [1]




   def 	UpperCAmelCase       (					self     :	Optional[int]						,    lowerCamelCase_     :	List[int]						,    lowerCamelCase_     :	Optional[List[int]] = None			)					->List[int]:
     '''simple docstring'''







     if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     else:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]




   def 	UpperCAmelCase       (					self     :	Optional[Any]						,    lowerCamelCase_     :	str			)					->List[str]:
     '''simple docstring'''







     UpperCAmelCase__    						=   [chr(lowerCamelCase_			) for i in text.encode("""utf-8"""			)]
     return tokens




   def 	UpperCAmelCase       (					self     :	Union[str, Any]						,    lowerCamelCase_     :	int			)					->List[Any]:
     '''simple docstring'''







     if token in self.special_tokens_encoder:
       UpperCAmelCase__    						=   self.special_tokens_encoder[token]
     elif token in self.added_tokens_encoder:
       UpperCAmelCase__    						=   self.added_tokens_encoder[token]
     elif len(lowerCamelCase_			) != 1:
       UpperCAmelCase__    						=   self.unk_token_id
     else:
       UpperCAmelCase__    						=   ord(lowerCamelCase_			) + self._num_special_tokens
     return token_id




   def 	UpperCAmelCase       (					self     :	List[Any]						,    lowerCamelCase_     :	List[Any]			)					->str:
     '''simple docstring'''







     if index in self.special_tokens_decoder:
       UpperCAmelCase__    						=   self.special_tokens_decoder[index]
     elif index in self.added_tokens_decoder:
       UpperCAmelCase__    						=   self.added_tokens_decoder[index]
     else:
       UpperCAmelCase__    						=   chr(index - self._num_special_tokens			)
     return token




   def 	UpperCAmelCase       (					self     :	Optional[Any]						,    lowerCamelCase_     :	Optional[int]			)					->List[Any]:
     '''simple docstring'''







     UpperCAmelCase__    						=   b""""""
     for token in tokens:
       if token in self.special_tokens_decoder:
         UpperCAmelCase__    						=   self.special_tokens_decoder[token].encode("""utf-8"""			)
       elif token in self.added_tokens_decoder:
         UpperCAmelCase__    						=   self.special_tokens_decoder[token].encode("""utf-8"""			)
       elif token in self.special_tokens_encoder:
         UpperCAmelCase__    						=   token.encode("""utf-8"""			)
       elif token in self.added_tokens_encoder:
         UpperCAmelCase__    						=   token.encode("""utf-8"""			)
       else:
         UpperCAmelCase__    						=   bytes([ord(lowerCamelCase_			)]			)
       bstring += tok_string
     UpperCAmelCase__    						=   bstring.decode("""utf-8"""						,    errors="""replace"""			)
     return string







   def 	UpperCAmelCase       (					self     :	Union[str, Any]						,    lowerCamelCase_     :	str						,    lowerCamelCase_     :	Optional[str] = None			)					->Tuple[str]:
     '''simple docstring'''







     return ()










import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
   import tensorflow as tf

   from transformers.activations_tf import get_tf_activation





@require_tf
class     snake_case  (	unittest.TestCase							):


   '''simple docstring'''







   def 	UpperCAmelCase       (					self     :	Tuple			)					->Union[str, Any]:
     '''simple docstring'''







     UpperCAmelCase__    						=   tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 100.0]			)
     UpperCAmelCase__    						=   get_tf_activation("""gelu"""			)
     UpperCAmelCase__    						=   get_tf_activation("""gelu_10"""			)

     UpperCAmelCase__    						=   gelu(lowerCamelCase_			)
     UpperCAmelCase__    						=   geluaa(lowerCamelCase_			)

     UpperCAmelCase__    						=   tf.where(y_gelu_aa < 10.0						,    1.0						,    0.0			)

     self.assertEqual(tf.math.reduce_max(lowerCamelCase_			).numpy().item()						,    10.0			)
     self.assertTrue(np.allclose(y_gelu * clipped_mask						,    y_gelu_aa * clipped_mask			)			)







   def 	UpperCAmelCase       (					self     :	List[Any]			)					->Any:
     '''simple docstring'''







     get_tf_activation("""gelu"""			)
     get_tf_activation("""gelu_10"""			)
     get_tf_activation("""gelu_fast"""			)
     get_tf_activation("""gelu_new"""			)
     get_tf_activation("""glu"""			)
     get_tf_activation("""mish"""			)
     get_tf_activation("""quick_gelu"""			)
     get_tf_activation("""relu"""			)
     get_tf_activation("""sigmoid"""			)
     get_tf_activation("""silu"""			)
     get_tf_activation("""swish"""			)
     get_tf_activation("""tanh"""			)
     with self.assertRaises(lowerCamelCase_			):
       get_tf_activation("""bogus"""			)
     with self.assertRaises(lowerCamelCase_			):
       get_tf_activation(lowerCamelCase_			)




