




"""simple docstring"""
import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__			,				unittest.TestCase				):



 '''simple docstring'''





 __UpperCAmelCase		   =							BertweetTokenizer
 __UpperCAmelCase		   =							False






 def lowercase_      (self   ):

  '''simple docstring'''







  super().setUp()

  # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
  _UpperCamelCase      :	int					      =  ["I", "m", "V@@", "R@@", "r", "e@@"]
  _UpperCamelCase      :	Optional[Any]					      =  dict(zip(lowerCAmelCase__					,     range(len(lowerCAmelCase__   )   )   )   )
  _UpperCamelCase      :	Any					      =  ["#version: 0.2", "a m</w>"]
  _UpperCamelCase      :	Optional[Any]					      =  {"unk_token": "<unk>"}

  _UpperCamelCase      :	Any					      =  os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES["vocab_file"]   )
  _UpperCamelCase      :	int					      =  os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES["merges_file"]   )
  with open(self.vocab_file					,     "w"					,     encoding="utf-8"   ) as fp:
   for token in vocab_tokens:
    fp.write(F"{token} {vocab_tokens[token]}\n"   )
  with open(self.merges_file					,     "w"					,     encoding="utf-8"   ) as fp:
   fp.write("\n".join(lowerCAmelCase__   )   )






 def lowercase_      (self					,     **lowerCAmelCase__   ):

  '''simple docstring'''







  kwargs.update(self.special_tokens_map   )
  return BertweetTokenizer.from_pretrained(self.tmpdirname					,     **lowerCAmelCase__   )






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	Dict					      =  "I am VinAI Research"
  _UpperCamelCase      :	List[Any]					      =  "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
  return input_text, output_text






 def lowercase_      (self   ):

  '''simple docstring'''







  _UpperCamelCase      :	Optional[int]					      =  BertweetTokenizer(self.vocab_file					,     self.merges_file					,     **self.special_tokens_map   )
  _UpperCamelCase      :	str					      =  "I am VinAI Research"
  _UpperCamelCase      :	Tuple					      =  "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
  _UpperCamelCase      :	Optional[int]					      =  tokenizer.tokenize(lowerCAmelCase__   )
  self.assertListEqual(lowerCAmelCase__					,     lowerCAmelCase__   )

  _UpperCamelCase      :	Tuple					      =  tokens + [tokenizer.unk_token]

  _UpperCamelCase      :	List[str]					      =  [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
  self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__   )					,     lowerCAmelCase__   )









"""simple docstring"""
# Lint as: python3

import hashlib
from typing import Union






def 				__lowerCAmelCase					(					__lowerCAmelCase			:		Union[str, int, bytes]						)    ->       bytes:
 if isinstance(__lowerCAmelCase  ,	__lowerCAmelCase						):
  # Data already in bytes, returns as it as
  return hash_data
 elif isinstance(__lowerCAmelCase  ,	__lowerCAmelCase						):
  # We keep the data as it as for it ot be later encoded to UTF-8
  # However replace `\\` with `/` for Windows compatibility
  _UpperCamelCase      :	int					      =  hash_data.replace("\\"  ,	"/"						)
 elif isinstance(__lowerCAmelCase  ,	__lowerCAmelCase						):
  _UpperCamelCase      :	Union[str, Any]					      =  str(__lowerCAmelCase						)
 else:
  # If data is not of the required type, raise error
  raise InvalidKeyError(__lowerCAmelCase						)

 return hash_data.encode("utf-8"						)







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	int					      =  "\nFAILURE TO GENERATE DATASET: Invalid key type detected"
  _UpperCamelCase      :	Tuple					      =  F"\nFound Key {hash_data} of type {type(lowerCAmelCase__   )}"
  _UpperCamelCase      :	str					      =  "\nKeys should be either str, int or bytes type"
  super().__init__(F"{self.prefix}{self.err_msg}{self.suffix}"   )







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     lowerCAmelCase__					,     lowerCAmelCase__					,     lowerCAmelCase__=""   ):

  '''simple docstring'''







  _UpperCamelCase      :	Optional[int]					      =  key
  _UpperCamelCase      :	Tuple					      =  duplicate_key_indices
  _UpperCamelCase      :	int					      =  fix_msg
  _UpperCamelCase      :	List[Any]					      =  "Found multiple examples generated with the same key"
  if len(lowerCAmelCase__   ) <= 20:
   _UpperCamelCase      :	Optional[Any]					      =  F"\nThe examples at index {', '.join(lowerCAmelCase__   )} have the key {key}"
  else:
   _UpperCamelCase      :	Union[str, Any]					      =  F"\nThe examples at index {', '.join(duplicate_key_indices[:20]   )}... ({len(lowerCAmelCase__   ) - 20} more) have the key {key}"
  _UpperCamelCase      :	List[Any]					      =  "\n" + fix_msg if fix_msg else ""
  super().__init__(F"{self.prefix}{self.err_msg}{self.suffix}"   )







class  _SCREAMING_SNAKE_CASE       :



 '''simple docstring'''





 def __init__(self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	Union[str, Any]					      =  hashlib.mda(_as_bytes(lowerCAmelCase__   )   )






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	Any					      =  self._split_mda.copy()
  _UpperCamelCase      :	List[str]					      =  _as_bytes(lowerCAmelCase__   )
  mda.update(lowerCAmelCase__   )
  # Convert to integer with hexadecimal conversion
  return int(mda.hexdigest()					,     16   )



