
from __future__ import annotations

from collections import deque





class 							UpperCAmelCase      :




	'''simple docstring'''





	def __init__(       self					: Optional[Any]							,A					: list[str] ):
					__A   			= []
					self.adlist.append(
					    {"value": "", "next_states": [], "fail_state": 0, "output": []} )

					for keyword in keywords:
									self.add_keyword(A )
					self.set_fail_transitions()






	def 				UpperCamelCase_  (       self					: Dict							,A					: int							,A					: str ):
					for state in self.adlist[current_state]["next_states"]:
									if char == self.adlist[state]["value"]:
													return state
					return None






	def 				UpperCamelCase_  (       self					: str							,A					: str ):
					__A   			= 0
					for character in keyword:
									__A   			= self.find_next_state(A							,A )
									if next_state is None:
													self.adlist.append(
													    {
													        "value": character,
													        "next_states": [],
													        "fail_state": 0,
													        "output": [],
													    } )
													self.adlist[current_state]["next_states"].append(len(self.adlist ) - 1 )
													__A   			= len(self.adlist ) - 1
									else:
													__A   			= next_state
					self.adlist[current_state]["output"].append(A )






	def 				UpperCamelCase_  (       self					: str ):
					__A   			= deque()
					for node in self.adlist[0]["next_states"]:
									q.append(A )
									__A   			= 0
					while q:
									__A   			= q.popleft()
									for child in self.adlist[r]["next_states"]:
													q.append(A )
													__A   			= self.adlist[r]["fail_state"]
													while (
													    self.find_next_state(A							,self.adlist[child]["value"] ) is None
													    and state != 0
													):
																	__A   			= self.adlist[state]["fail_state"]
													__A   			= self.find_next_state(
													    A							,self.adlist[child]["value"] )
													if self.adlist[child]["fail_state"] is None:
																	__A   			= 0
													__A   			= (
													    self.adlist[child]["output"]
													    + self.adlist[self.adlist[child]["fail_state"]]["output"]
													)







	def 				UpperCamelCase_  (       self					: Optional[int]							,A					: str ):
					__A   			= {}  # returns a dict with keywords and list of its occurrences
					__A   			= 0
					for i in range(len(A ) ):
									while (
									    self.find_next_state(A							,string[i] ) is None
									    and current_state != 0
									):
													__A   			= self.adlist[current_state]["fail_state"]
									__A   			= self.find_next_state(A							,string[i] )
									if next_state is None:
													__A   			= 0
									else:
													__A   			= next_state
													for key in self.adlist[current_state]["output"]:
																	if key not in result:
																					__A   			= []
																	result[key].append(i - len(A ) + 1 )
					return result


if __name__ == "__main__":
					import doctest

					doctest.testmod()





import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


_snake_case		=  get_tests_dir("fixtures/test_sentencepiece_bpe.model")



class   UpperCAmelCase_    (       a   ,					unittest.TestCase):
							lowerCamelCase__   			=		BartphoTokenizer
							lowerCamelCase__   			=		False
							lowerCamelCase__   			=		True







							def    snake_case__      (   self):

														'''simple docstring'''

														super().setUp()

														_lowerCAmelCase     :							str    =    ["▁This", "▁is", "▁a", "▁t", "est"]
														_lowerCAmelCase     :							List[str]    =    dict(zip(__a,			range(len(__a))))
														_lowerCAmelCase     :							Optional[Any]    =    {"unk_token": "<unk>"}

														_lowerCAmelCase     :							Optional[int]    =    os.path.join(self.tmpdirname,			VOCAB_FILES_NAMES["monolingual_vocab_file"])
														with open(self.monolingual_vocab_file,			"w",			encoding="utf-8") as fp:
																					for token in vocab_tokens:
																												fp.write(f"{token} {vocab_tokens[token]}\n")

														_lowerCAmelCase     :							Optional[Any]    =    BartphoTokenizer(__a,			self.monolingual_vocab_file,			**self.special_tokens_map)
														tokenizer.save_pretrained(self.tmpdirname)







							def    snake_case__      (   self,			**__a):

														'''simple docstring'''

														kwargs.update(self.special_tokens_map)
														return BartphoTokenizer.from_pretrained(self.tmpdirname,			**__a)







							def    snake_case__      (   self,			__a):

														'''simple docstring'''

														_lowerCAmelCase     :							Union[str, Any]    =    "This is a là test"
														_lowerCAmelCase     :							Optional[int]    =    "This is a<unk><unk> test"
														return input_text, output_text







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Optional[int]    =    BartphoTokenizer(__a,			self.monolingual_vocab_file,			**self.special_tokens_map)
														_lowerCAmelCase     :							List[Any]    =    "This is a là test"
														_lowerCAmelCase     :							str    =    "▁This ▁is ▁a ▁l à ▁t est".split()
														_lowerCAmelCase     :							str    =    tokenizer.tokenize(__a)
														self.assertListEqual(__a,			__a)

														_lowerCAmelCase     :							Tuple    =    tokens + [tokenizer.unk_token]
														_lowerCAmelCase     :							List[str]    =    [4, 5, 6, 3, 3, 7, 8, 3]
														self.assertListEqual(tokenizer.convert_tokens_to_ids(__a),			__a)
