
"""simple docstring"""





import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class 						SCREAMING_SNAKE_CASE_ (						__a     ,				unittest.TestCase ):




		"""simple docstring"""





		__lowercase							:  Union[str, Any]						   =		PhobertTokenizer
		__lowercase							:  Any						   =		False




		def 	snake_case_     (     self):
				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				__SCREAMING_SNAKE_CASE            = ["""T@@""", """i""", """I""", """R@@""", """r""", """e@@"""]
				__SCREAMING_SNAKE_CASE            = dict(zip(lowerCAmelCase__							,  range(len(lowerCAmelCase__))))
				__SCREAMING_SNAKE_CASE            = ["""#version: 0.2""", """l à</w>"""]
				__SCREAMING_SNAKE_CASE            = {"""unk_token""": """<unk>"""}

				__SCREAMING_SNAKE_CASE            = os.path.join(self.tmpdirname							,  VOCAB_FILES_NAMES["""vocab_file"""])
				__SCREAMING_SNAKE_CASE            = 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 	snake_case_     (     self							,  **lowerCAmelCase__):
				kwargs.update(self.special_tokens_map)
				return PhobertTokenizer.from_pretrained(self.tmpdirname							,  **lowerCAmelCase__)




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				__SCREAMING_SNAKE_CASE            = """Tôi là VinAI Research"""
				__SCREAMING_SNAKE_CASE            = """T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
				return input_text, output_text




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = PhobertTokenizer(self.vocab_file							,  self.merges_file							,  **self.special_tokens_map)
				__SCREAMING_SNAKE_CASE            = """Tôi là VinAI Research"""
				__SCREAMING_SNAKE_CASE            = """T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
				__SCREAMING_SNAKE_CASE            = tokenizer.tokenize(lowerCAmelCase__)
				print(lowerCAmelCase__)
				self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__)

				__SCREAMING_SNAKE_CASE            = tokens + [tokenizer.unk_token]

				__SCREAMING_SNAKE_CASE            = [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__)							,  lowerCAmelCase__)






"""simple docstring"""





__magic_name__       =			"Tobias Carryer"

from time import time
class 						SCREAMING_SNAKE_CASE_ :




		"""simple docstring"""





		def __init__(     self							,  lowerCAmelCase__							,  lowerCAmelCase__							,  lowerCAmelCase__							,  lowerCAmelCase__=int(time())):  # noqa: B008
				__SCREAMING_SNAKE_CASE            = multiplier
				__SCREAMING_SNAKE_CASE            = increment
				__SCREAMING_SNAKE_CASE            = modulo
				__SCREAMING_SNAKE_CASE            = seed




		def 	snake_case_     (     self):
				__SCREAMING_SNAKE_CASE            = (self.multiplier * self.seed + self.increment) % self.modulo
				return self.seed


if __name__ == "__main__":
							# Show the LCG in action.
							__magic_name__       =			LinearCongruentialGenerator(1664525, 1013904223, 2 << 31)
							while True:
														print(lcg.next_number())




