


import unittest

import numpy as np

from transformers import is_flax_available
from transformers.testing_utils import require_flax

from ..test_modeling_flax_common import ids_tensor


if is_flax_available():
     import jax
     import jax.numpy as jnp

     from transformers.generation import (
         FlaxForcedBOSTokenLogitsProcessor,
         FlaxForcedEOSTokenLogitsProcessor,
         FlaxLogitsProcessorList,
         FlaxMinLengthLogitsProcessor,
         FlaxTemperatureLogitsWarper,
         FlaxTopKLogitsWarper,
         FlaxTopPLogitsWarper,
     )







@require_flax
class 		_snake_case  (				unittest.TestCase							):




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase   ):
       a						:Any										=	jnp.ones((batch_size, length)   ) / length
       return scores




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Optional[int]										=	None
       a						:Any										=	20

       a						:int										=	self._get_uniform_logits(batch_size=2 ,  length=_lowerCamelCase   )

       # tweak scores to not be uniform anymore
       a						:List[str]										=	scores.at[1, 5].set((1 / length) + 0.1   )  # peak, 1st batch
       a						:Any										=	scores.at[1, 10].set((1 / length) - 0.4   )  # valley, 1st batch

       # compute softmax
       a						:Tuple										=	jax.nn.softmax(_lowerCamelCase ,  axis=-1   )

       a						:Dict										=	FlaxTemperatureLogitsWarper(temperature=0.5   )
       a						:Optional[int]										=	FlaxTemperatureLogitsWarper(temperature=1.3   )

       a						:Union[str, Any]										=	jax.nn.softmax(temp_dist_warper_sharper(_lowerCamelCase ,  scores.copy() ,  cur_len=_lowerCamelCase   ) ,  axis=-1   )
       a						:Tuple										=	jax.nn.softmax(temp_dist_warper_smoother(_lowerCamelCase ,  scores.copy() ,  cur_len=_lowerCamelCase   ) ,  axis=-1   )

       # uniform distribution stays uniform
       self.assertTrue(jnp.allclose(probs[0, :] ,  warped_prob_sharp[0, :] ,  atol=1e-3   )   )
       self.assertTrue(jnp.allclose(probs[0, :] ,  warped_prob_smooth[0, :] ,  atol=1e-3   )   )

       # sharp peaks get higher, valleys get lower
       self.assertLess(probs[1, :].max() ,  warped_prob_sharp[1, :].max()   )
       self.assertGreater(probs[1, :].min() ,  warped_prob_sharp[1, :].min()   )

       # smooth peaks get lower, valleys get higher
       self.assertGreater(probs[1, :].max() ,  warped_prob_smooth[1, :].max()   )
       self.assertLess(probs[1, :].min() ,  warped_prob_smooth[1, :].min()   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:List[Any]										=	None
       a						:Any										=	10
       a						:List[Any]										=	2

       # create ramp distribution
       a						:Dict										=	np.broadcast_to(np.arange(_lowerCamelCase   )[None, :] ,  (batch_size, vocab_size)   ).copy()
       a						:Optional[int]										=	ramp_logits[1:, : vocab_size // 2] + vocab_size

       a						:List[Any]										=	FlaxTopKLogitsWarper(3   )

       a						:Any										=	top_k_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )

       # check that correct tokens are filtered
       self.assertListEqual(jnp.isinf(scores[0]   ).tolist() ,  7 * [True] + 3 * [False]   )
       self.assertListEqual(jnp.isinf(scores[1]   ).tolist() ,  2 * [True] + 3 * [False] + 5 * [True]   )

       # check special case
       a						:Optional[Any]										=	5
       a						:Optional[Any]										=	FlaxTopKLogitsWarper(top_k=1 ,  filter_value=0.0 ,  min_tokens_to_keep=3   )

       a						:str										=	np.broadcast_to(np.arange(_lowerCamelCase   )[None, :] ,  (batch_size, length)   ).copy()
       a						:Optional[Any]										=	top_k_warp_safety_check(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )

       # min_tokens overwrites k: 3 tokens are kept => 2 tokens are nullified
       self.assertListEqual((scores == 0.0).sum(axis=-1   ).tolist() ,  [2, 2]   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Optional[int]										=	None
       a						:Union[str, Any]										=	10
       a						:Any										=	2

       # create distribution and take log (inverse to Softmax as taken in TopPLogitsWarper)
       a						:List[str]										=	np.log(np.array([[0.3, 0.1, 0.1, 0.5], [0.15, 0.3, 0.3, 0.25]]   )   )

       a						:int										=	FlaxTopPLogitsWarper(0.8   )
       a						:Optional[int]										=	np.exp(top_p_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )   )

       # dist should be filtered to keep min num values so that sum is >= top_p
       # exp (-inf) => 0
       a						:Dict										=	np.array([[0.3, 0.0, 0.0, 0.5], [0.0, 0.3, 0.3, 0.25]]   )
       self.assertTrue(np.allclose(_lowerCamelCase ,  _lowerCamelCase ,  atol=1e-3   )   )

       # check edge cases with negative and extreme logits
       a						:Optional[Any]										=	np.broadcast_to(np.arange(_lowerCamelCase   )[None, :] ,  (batch_size, vocab_size)   ).copy() - (
           vocab_size // 2
       )

       # make ramp_logits more extreme
       a						:Optional[Any]										=	ramp_logits[1] * 100.0

       # make sure at least 2 tokens are kept
       a						:Dict										=	FlaxTopPLogitsWarper(0.9 ,  min_tokens_to_keep=2 ,  filter_value=0.0   )
       a						:Optional[Any]										=	top_p_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )

       # first batch should keep three tokens, second batch would keep only 1, but due to `min_tokens_to_keep=2` keeps 2.
       self.assertListEqual((filtered_dist != 0.0).sum(axis=-1   ).tolist() ,  [3, 2]   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Union[str, Any]										=	20
       a						:Optional[int]										=	4
       a						:List[str]										=	0

       a						:str										=	FlaxMinLengthLogitsProcessor(min_length=10 ,  eos_token_id=_lowerCamelCase   )

       # check that min length is applied at length 5
       a						:str										=	ids_tensor((batch_size, 20) ,  vocab_size=20   )
       a						:Optional[int]										=	5
       a						:str										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:Dict										=	min_dist_processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       self.assertListEqual(scores_before_min_length[:, eos_token_id].tolist() ,  4 * [-float('''inf'''   )]   )

       # check that min length is not applied anymore at length 15
       a						:List[Any]										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:Any										=	15
       a						:str										=	min_dist_processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       self.assertFalse(jnp.isinf(_lowerCamelCase   ).any()   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:List[Any]										=	20
       a						:str										=	4
       a						:Dict										=	0

       a						:Dict										=	FlaxForcedBOSTokenLogitsProcessor(bos_token_id=_lowerCamelCase   )

       # check that all scores are -inf except the bos_token_id score
       a						:Dict										=	ids_tensor((batch_size, 1) ,  vocab_size=20   )
       a						:Dict										=	1
       a						:Any										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:Union[str, Any]										=	logits_processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       self.assertTrue(jnp.isneginf(scores[:, bos_token_id + 1 :]   ).all()   )
       self.assertListEqual(scores[:, bos_token_id].tolist() ,  4 * [0]   )  # score for bos_token_id shold be zero

       # check that bos_token_id is not forced if current length is greater than 1
       a						:Dict										=	3
       a						:Optional[int]										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:int										=	logits_processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       self.assertFalse(jnp.isinf(_lowerCamelCase   ).any()   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Dict										=	20
       a						:int										=	4
       a						:int										=	0
       a						:Any										=	5

       a						:Optional[Any]										=	FlaxForcedEOSTokenLogitsProcessor(max_length=_lowerCamelCase ,  eos_token_id=_lowerCamelCase   )

       # check that all scores are -inf except the eos_token_id when max_length is reached
       a						:Optional[int]										=	ids_tensor((batch_size, 4) ,  vocab_size=20   )
       a						:List[Any]										=	4
       a						:Dict										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:List[Any]										=	logits_processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       self.assertTrue(jnp.isneginf(scores[:, eos_token_id + 1 :]   ).all()   )
       self.assertListEqual(scores[:, eos_token_id].tolist() ,  4 * [0]   )  # score for eos_token_id should be zero

       # check that eos_token_id is not forced if max_length is not reached
       a						:int										=	3
       a						:Optional[Any]										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:Optional[int]										=	logits_processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       self.assertFalse(jnp.isinf(_lowerCamelCase   ).any()   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Union[str, Any]										=	4
       a						:Tuple										=	10
       a						:Dict										=	15
       a						:str										=	2
       a						:Union[str, Any]										=	1
       a						:Optional[Any]										=	15

       # dummy input_ids and scores
       a						:Dict										=	ids_tensor((batch_size, sequence_length) ,  _lowerCamelCase   )
       a						:Optional[Any]										=	input_ids.copy()

       a						:Dict										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:Dict										=	scores.copy()

       # instantiate all dist processors
       a						:Optional[int]										=	FlaxTemperatureLogitsWarper(temperature=0.5   )
       a						:Tuple										=	FlaxTopKLogitsWarper(3   )
       a						:Any										=	FlaxTopPLogitsWarper(0.8   )

       # instantiate all logits processors
       a						:Union[str, Any]										=	FlaxMinLengthLogitsProcessor(min_length=10 ,  eos_token_id=_lowerCamelCase   )
       a						:Dict										=	FlaxForcedBOSTokenLogitsProcessor(bos_token_id=_lowerCamelCase   )
       a						:Union[str, Any]										=	FlaxForcedEOSTokenLogitsProcessor(max_length=_lowerCamelCase ,  eos_token_id=_lowerCamelCase   )

       a						:str										=	10

       # no processor list
       a						:Optional[int]										=	temp_dist_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       a						:Dict										=	top_k_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       a						:int										=	top_p_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       a						:Optional[Any]										=	min_dist_proc(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       a						:Optional[Any]										=	bos_dist_proc(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
       a						:int										=	eos_dist_proc(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )

       # with processor list
       a						:Any										=	FlaxLogitsProcessorList(
           [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]   )
       a						:Optional[Any]										=	processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )

       # scores should be equal
       self.assertTrue(jnp.allclose(_lowerCamelCase ,  _lowerCamelCase ,  atol=1e-3   )   )

       # input_ids should never be changed
       self.assertListEqual(input_ids.tolist() ,  input_ids_comp.tolist()   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:int										=	4
       a						:Union[str, Any]										=	10
       a						:int										=	15
       a						:Union[str, Any]										=	2
       a						:Optional[int]										=	1
       a						:int										=	15

       # dummy input_ids and scores
       a						:Optional[int]										=	ids_tensor((batch_size, sequence_length) ,  _lowerCamelCase   )
       a						:List[Any]										=	input_ids.copy()

       a						:Dict										=	self._get_uniform_logits(_lowerCamelCase ,  _lowerCamelCase   )
       a						:Any										=	scores.copy()

       # instantiate all dist processors
       a						:int										=	FlaxTemperatureLogitsWarper(temperature=0.5   )
       a						:List[Any]										=	FlaxTopKLogitsWarper(3   )
       a						:str										=	FlaxTopPLogitsWarper(0.8   )

       # instantiate all logits processors
       a						:Union[str, Any]										=	FlaxMinLengthLogitsProcessor(min_length=10 ,  eos_token_id=_lowerCamelCase   )
       a						:Any										=	FlaxForcedBOSTokenLogitsProcessor(bos_token_id=_lowerCamelCase   )
       a						:Any										=	FlaxForcedEOSTokenLogitsProcessor(max_length=_lowerCamelCase ,  eos_token_id=_lowerCamelCase   )

       a						:str										=	10

       # no processor list
       def run_no_processor_list(_lowerCamelCase ,  _lowerCamelCase ,  _lowerCamelCase   ):
             a						:List[str]										=	temp_dist_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
             a						:str										=	top_k_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
             a						:Any										=	top_p_warp(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
             a						:List[str]										=	min_dist_proc(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
             a						:Optional[int]										=	bos_dist_proc(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
             a						:Any										=	eos_dist_proc(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
             return scores

       # with processor list
       def run_processor_list(_lowerCamelCase ,  _lowerCamelCase ,  _lowerCamelCase   ):
             a						:int										=	FlaxLogitsProcessorList(
                 [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]   )
             a						:List[str]										=	processor(_lowerCamelCase ,  _lowerCamelCase ,  cur_len=_lowerCamelCase   )
             return scores

       a						:int										=	jax.jit(_lowerCamelCase   )
       a						:Optional[int]										=	jax.jit(_lowerCamelCase   )

       a						:str										=	jitted_run_no_processor_list(_lowerCamelCase ,  _lowerCamelCase ,  _lowerCamelCase   )
       a						:List[str]										=	jitted_run_processor_list(_lowerCamelCase ,  _lowerCamelCase ,  _lowerCamelCase   )

       # scores should be equal
       self.assertTrue(jnp.allclose(_lowerCamelCase ,  _lowerCamelCase ,  atol=1e-3   )   )

       # input_ids should never be changed
       self.assertListEqual(input_ids.tolist() ,  input_ids_comp.tolist()   )









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

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


snake_case    :   List[str]	    =					logging.get_logger(__name__)

snake_case    :   Optional[Any]	    =					{
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

snake_case    :   str	    =					{
    '''vocab_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt''',
    },
    '''merges_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes''',
    },
}

snake_case    :   List[Any]	    =					{
    '''vinai/phobert-base''': 2_56,
    '''vinai/phobert-large''': 2_56,
}
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[str]						):




      """simple docstring"""





      a						:Union[str, Any]										=	set()
      a						:str										=	word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)						)
            a						:Optional[int]										=	char

      a						:Optional[int]										=	set(UpperCAmelCase_						)
      return pairs







class 		_snake_case  (				_snake_case							):
 SCREAMING_SNAKE_CASE__				=	VOCAB_FILES_NAMES
 SCREAMING_SNAKE_CASE__				=	PRETRAINED_VOCAB_FILES_MAP
 SCREAMING_SNAKE_CASE__				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




 def __init__(		self ,  _lowerCamelCase ,  _lowerCamelCase ,  _lowerCamelCase="<s>" ,  _lowerCamelCase="</s>" ,  _lowerCamelCase="</s>" ,  _lowerCamelCase="<s>" ,  _lowerCamelCase="<unk>" ,  _lowerCamelCase="<pad>" ,  _lowerCamelCase="<mask>" ,  **_lowerCamelCase ,  ):
       super().__init__(
           bos_token=_lowerCamelCase ,  eos_token=_lowerCamelCase ,  unk_token=_lowerCamelCase ,  sep_token=_lowerCamelCase ,  cls_token=_lowerCamelCase ,  pad_token=_lowerCamelCase ,  mask_token=_lowerCamelCase ,  **_lowerCamelCase ,  )

       a						:Optional[Any]										=	vocab_file
       a						:Optional[Any]										=	merges_file

       a						:Any										=	{}
       a						:Any										=	0
       a						:int										=	1
       a						:Union[str, Any]										=	2
       a						:List[Any]										=	3

       self.add_from_file(_lowerCamelCase   )

       a						:List[str]										=	{v: k for k, v in self.encoder.items()}

       with open(_lowerCamelCase ,  encoding='''utf-8'''   ) as merges_handle:
             a						:List[str]										=	merges_handle.read().split('''\n'''   )[:-1]
       a						:Any										=	[tuple(merge.split()[:-1]   ) for merge in merges]
       a						:str										=	dict(zip(_lowerCamelCase ,  range(len(_lowerCamelCase   )   )   )   )
       a						:str										=	{}




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):

       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       a						:Union[str, Any]										=	[self.cls_token_id]
       a						:Tuple										=	[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None ,  _lowerCamelCase = False   ):

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

       if token_ids_a is None:
             return [1] + ([0] * len(_lowerCamelCase   )) + [1]
       return [1] + ([0] * len(_lowerCamelCase   )) + [1, 1] + ([0] * len(_lowerCamelCase   )) + [1]




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       a						:Optional[int]										=	[self.sep_token_id]
       a						:Optional[Any]										=	[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]




 @property
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       return len(self.encoder   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       return dict(self.encoder ,  **self.added_tokens_encoder   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       if token in self.cache:
             return self.cache[token]
       a						:Optional[int]										=	tuple(_lowerCamelCase   )
       a						:List[str]										=	tuple(list(word[:-1]   ) + [word[-1] + '''</w>''']   )
       a						:Union[str, Any]										=	get_pairs(_lowerCamelCase   )

       if not pairs:
             return token

       while True:
             a						:Optional[Any]										=	min(_lowerCamelCase ,  key=lambda _lowerCamelCase   : self.bpe_ranks.get(_lowerCamelCase ,  float('''inf'''   )   )   )
             if bigram not in self.bpe_ranks:
                   break
             a							,    a						:Dict										=	bigram
             a						:Union[str, Any]										=	[]
             a						:int										=	0
             while i < len(_lowerCamelCase   ):
                   try:
                         a						:Optional[Any]										=	word.index(_lowerCamelCase ,  _lowerCamelCase   )
                   except ValueError:
                         new_word.extend(word[i:]   )
                         break
                   else:
                         new_word.extend(word[i:j]   )
                         a						:Union[str, Any]										=	j

                   if word[i] == first and i < len(_lowerCamelCase   ) - 1 and word[i + 1] == second:
                         new_word.append(first + second   )
                         i += 2
                   else:
                         new_word.append(word[i]   )
                         i += 1
             a						:Union[str, Any]										=	tuple(_lowerCamelCase   )
             a						:int										=	new_word
             if len(_lowerCamelCase   ) == 1:
                   break
             else:
                   a						:List[str]										=	get_pairs(_lowerCamelCase   )
       a						:Union[str, Any]										=	'''@@ '''.join(_lowerCamelCase   )
       a						:Dict										=	word[:-4]
       a						:Any										=	word
       return word




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:Union[str, Any]										=	[]

       a						:str										=	re.findall(R'''\S+\n?''' ,  _lowerCamelCase   )

       for token in words:
             split_tokens.extend(list(self.bpe(_lowerCamelCase   ).split(''' '''   )   )   )
       return split_tokens




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       return self.encoder.get(_lowerCamelCase ,  self.encoder.get(self.unk_token   )   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       return self.decoder.get(_lowerCamelCase ,  self.unk_token   )




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       a						:Optional[int]										=	''' '''.join(_lowerCamelCase   ).replace('''@@ ''' ,  ''''''   ).strip()
       return out_string




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase ,  _lowerCamelCase = None   ):
       if not os.path.isdir(_lowerCamelCase   ):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''   )
             return
       a						:Tuple										=	os.path.join(
           _lowerCamelCase ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )
       a						:Optional[int]										=	os.path.join(
           _lowerCamelCase ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']   )

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

       if os.path.abspath(self.merges_file   ) != os.path.abspath(_lowerCamelCase   ):
             copyfile(self.merges_file ,  _lowerCamelCase   )

       return out_vocab_file, out_merge_file




 def 	SCREAMING_SNAKE_CASE__    (		self ,  _lowerCamelCase   ):
       if isinstance(_lowerCamelCase ,  _lowerCamelCase   ):
             try:
                   with open(_lowerCamelCase ,  '''r''' ,  encoding='''utf-8'''   ) as fd:
                         self.add_from_file(_lowerCamelCase   )
             except FileNotFoundError as fnfe:
                   raise fnfe
             except UnicodeError:
                   raise Exception(F'''Incorrect encoding detected in {f}, please rebuild the dataset'''   )
             return

       a						:str										=	f.readlines()
       for lineTmp in lines:
             a						:Tuple										=	lineTmp.strip()
             a						:int										=	line.rfind(''' '''   )
             if idx == -1:
                   raise ValueError('''Incorrect dictionary format, expected \'<token> <cnt>\''''   )
             a						:Tuple										=	line[:idx]
             a						:Tuple										=	len(self.encoder   )





