





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    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ,							unittest.TestCase    ):







 '''simple docstring'''
 lowercase_		=			ProphetNetTokenizer
 lowercase_		=			False

 def 							SCREAMING_SNAKE_CASE_					(self				:   Dict)       ->List[str]:



   '''simple docstring'''



   super().setUp()

   lowerCamelCase__:      Union[str, Any]			  =[
       "[UNK]",
       "[CLS]",
       "[SEP]",
       "[PAD]",
       "[MASK]",
       "want",
       "##want",
       "##ed",
       "wa",
       "un",
       "runn",
       "##ing",
       ",",
       "low",
       "lowest",
   ]
   lowerCamelCase__:      Dict			  =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 							SCREAMING_SNAKE_CASE_					(self				:   str       , UpperCAmelCase_				:   int)       ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:      int			  ="UNwant\u00E9d,running"
   lowerCamelCase__:      Optional[Any]			  ="unwanted, running"
   return input_text, output_text

 def 							SCREAMING_SNAKE_CASE_					(self				:   str)       ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:      Dict			  =self.tokenizer_class(self.vocab_file)

   lowerCamelCase__:      Tuple			  =tokenizer.tokenize("UNwant\u00E9d,running")
   self.assertListEqual(UpperCAmelCase_       , ["un", "##want", "##ed", ",", "runn", "##ing"])
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_)       , [9, 6, 7, 12, 10, 11])

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int])       ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:      List[Any]			  =BasicTokenizer()

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   str)       ->Optional[int]:



   '''simple docstring'''



   lowerCamelCase__:      Union[str, Any]			  =BasicTokenizer(do_lower_case=UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   int)       ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:      Dict			  =BasicTokenizer(do_lower_case=UpperCAmelCase_       , strip_accents=UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[str])       ->List[str]:



   '''simple docstring'''



   lowerCamelCase__:      List[Any]			  =BasicTokenizer(do_lower_case=UpperCAmelCase_       , strip_accents=UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any])       ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:      Union[str, Any]			  =BasicTokenizer(do_lower_case=UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   Any)       ->Any:



   '''simple docstring'''



   lowerCamelCase__:      Any			  =BasicTokenizer(do_lower_case=UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   str)       ->Any:



   '''simple docstring'''



   lowerCamelCase__:      Union[str, Any]			  =BasicTokenizer(do_lower_case=UpperCAmelCase_       , strip_accents=UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   Dict)       ->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__:      Tuple			  =BasicTokenizer(do_lower_case=UpperCAmelCase_       , strip_accents=UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   Union[str, Any])       ->Any:



   '''simple docstring'''



   lowerCamelCase__:      int			  =BasicTokenizer(do_lower_case=UpperCAmelCase_       , never_split=["[UNK]"])

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int])       ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:      int			  =["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

   lowerCamelCase__:      Any			  ={}
   for i, token in enumerate(UpperCAmelCase_):
     lowerCamelCase__:      str			  =i
   lowerCamelCase__:      Union[str, Any]			  =WordpieceTokenizer(vocab=UpperCAmelCase_       , 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 							SCREAMING_SNAKE_CASE_					(self				:   Any)       ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:      int			  =self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased")

   lowerCamelCase__:      int			  =["A long paragraph for summarization.", "Another paragraph for summarization."]
   lowerCamelCase__:      Any			  =[1_037, 2_146, 20_423, 2_005, 7_680, 7_849, 3_989, 1_012, 102]
   lowerCamelCase__:      Optional[Any]			  =tokenizer(UpperCAmelCase_       , padding=UpperCAmelCase_       , return_tensors="pt")
   self.assertIsInstance(UpperCAmelCase_       , UpperCAmelCase_)
   lowerCamelCase__:      int			  =list(batch.input_ids.numpy()[0])
   self.assertListEqual(UpperCAmelCase_       , UpperCAmelCase_)

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

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any])       ->Any:



   '''simple docstring'''



   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 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any])       ->Dict:



   '''simple docstring'''



   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 							SCREAMING_SNAKE_CASE_					(self				:   List[Any])       ->int:



   '''simple docstring'''



   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 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any])       ->Any:



   '''simple docstring'''



   lowerCamelCase__:      List[Any]			  =self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased")

   lowerCamelCase__:      str			  =tokenizer.encode("sequence builders"       , add_special_tokens=UpperCAmelCase_)
   lowerCamelCase__:      Optional[Any]			  =tokenizer.encode("multi-sequence build"       , add_special_tokens=UpperCAmelCase_)

   lowerCamelCase__:      int			  =tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_)
   lowerCamelCase__:      int			  =tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_       , UpperCAmelCase_)

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



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 :		Dict							      =  logging.get_logger(__name__)

snake_case :		Union[str, Any]							      =  {
    "vocab_file": "vocab.txt",
    "merges_file": "bpe.codes",
}

snake_case :		Dict							      =  {
    "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 :		Union[str, Any]							      =  {
    "vinai/phobert-base": 256,
    "vinai/phobert-large": 256,
}






def   lowerCAmelCase_						(					_snake_case      :  str   )				->		Union[str, Any]:







	'''simple docstring'''


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

	__magic_name__		:		List[str]	   =     set(_snake_case   )
	return pairs





class       _snake_case					(     snake_case				):
			UpperCamelCase__          =    VOCAB_FILES_NAMES
			UpperCamelCase__          =    PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__          =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







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

				__magic_name__		:		Dict	   =     vocab_file
				__magic_name__		:		Tuple	   =     merges_file

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

				self.add_from_file(_a		)

				__magic_name__		:		Optional[int]	   =     {v: k for k, v in self.encoder.items()}

				with open(_a						,   encoding="utf-8"		) as merges_handle:
					__magic_name__		:		List[str]	   =     merges_handle.read().split("\n"		)[:-1]
				__magic_name__		:		Union[str, Any]	   =     [tuple(merge.split()[:-1]		) for merge in merges]
				__magic_name__		:		Union[str, Any]	   =     dict(zip(_a						,   range(len(_a		)		)		)		)
				__magic_name__		:		Optional[int]	   =     {}







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a						,   _a = None		):

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







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a						,   _a = None						,   _a = False		):

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

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







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a						,   _a = None		):
				__magic_name__		:		Optional[Any]	   =     [self.sep_token_id]
				__magic_name__		:		Tuple	   =     [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						,   _a		):
				if token in self.cache:
					return self.cache[token]
				__magic_name__		:		List[Any]	   =     tuple(_a		)
				__magic_name__		:		List[Any]	   =     tuple(list(word[:-1]		) + [word[-1] + "</w>"]		)
				__magic_name__		:		Any	   =     get_pairs(_a		)

				if not pairs:
					return token

				while True:
					__magic_name__		:		str	   =     min(_a						,   key=lambda _a		: self.bpe_ranks.get(_a						,   float("inf"		)		)		)
					if bigram not in self.bpe_ranks:
						break
					__magic_name__   ,    __magic_name__		:		List[str]	   =     bigram
					__magic_name__		:		List[str]	   =     []
					__magic_name__		:		List[str]	   =     0
					while i < len(_a		):
						try:
							__magic_name__		:		Any	   =     word.index(_a						,   _a		)
						except ValueError:
							new_word.extend(word[i:]		)
							break
						else:
							new_word.extend(word[i:j]		)
							__magic_name__		:		Tuple	   =     j

						if word[i] == first and i < len(_a		) - 1 and word[i + 1] == second:
							new_word.append(first + second		)
							i += 2
						else:
							new_word.append(word[i]		)
							i += 1
					__magic_name__		:		Union[str, Any]	   =     tuple(_a		)
					__magic_name__		:		Optional[int]	   =     new_word
					if len(_a		) == 1:
						break
					else:
						__magic_name__		:		List[Any]	   =     get_pairs(_a		)
				__magic_name__		:		Optional[int]	   =     "@@ ".join(_a		)
				__magic_name__		:		Tuple	   =     word[:-4]
				__magic_name__		:		str	   =     word
				return word







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a		):
				__magic_name__		:		Optional[Any]	   =     []

				__magic_name__		:		Dict	   =     re.findall(r"\S+\n?"						,   _a		)

				for token in words:
					split_tokens.extend(list(self.bpe(_a		).split(" "		)		)		)
				return split_tokens







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a		):
				return self.encoder.get(_a						,   self.encoder.get(self.unk_token		)		)







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a		):
				return self.decoder.get(_a						,   self.unk_token		)







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a		):
				__magic_name__		:		Tuple	   =     " ".join(_a		).replace("@@ "						,   ""		).strip()
				return out_string







			def 			SCREAMING_SNAKE_CASE    (				self						,   _a						,   _a = None		):
				if not os.path.isdir(_a		):
					logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
					return
				__magic_name__		:		Optional[int]	   =     os.path.join(
				    _a						,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
				__magic_name__		:		Union[str, Any]	   =     os.path.join(
				    _a						,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]		)

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

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

				return out_vocab_file, out_merge_file







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

				__magic_name__		:		List[Any]	   =     f.readlines()
				for lineTmp in lines:
					__magic_name__		:		Optional[Any]	   =     lineTmp.strip()
					__magic_name__		:		Union[str, Any]	   =     line.rfind(" "		)
					if idx == -1:
						raise ValueError("Incorrect dictionary format, expected '<token> <cnt>'"		)
					__magic_name__		:		Optional[int]	   =     line[:idx]
					__magic_name__		:		Dict	   =     len(self.encoder		)
