


'''simple docstring'''






import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
							from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
							__A	:	Tuple     =     get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
							from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

__A	:	Union[str, Any]     =     128_022
__A	:	List[str]     =     128_028
@require_sentencepiece
class 						__UpperCamelCase	(						lowerCAmelCase__						,  unittest.TestCase							):
							lowercase			:		Dict   		=  MaMaaaTokenizer
							lowercase			:		List[str]   		=  False
							lowercase			:		int   		=  False
							lowercase			:		List[Any]   		=  True





							def 		a__   (  self		:Optional[Any]			):
									super().setUp()

									snake_case_		:							List[str]			       =						["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
									snake_case_		:							str			       =						dict(zip(_SCREAMING_SNAKE_CASE  ,range(len(_SCREAMING_SNAKE_CASE			)			)			)			)
									snake_case_		:							Tuple			       =						Path(self.tmpdirname			)
									save_json(_SCREAMING_SNAKE_CASE  ,save_dir / VOCAB_FILES_NAMES["""vocab_file"""]			)
									if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
											copyfile(_SCREAMING_SNAKE_CASE  ,save_dir / VOCAB_FILES_NAMES["""spm_file"""]			)

									snake_case_		:							Tuple			       =						MaMaaaTokenizer.from_pretrained(self.tmpdirname			)
									tokenizer.save_pretrained(self.tmpdirname			)





							def 		a__   (  self		:Optional[int]  ,**_UpperCamelCase		:int			):
									return MaMaaaTokenizer.from_pretrained(self.tmpdirname  ,**_SCREAMING_SNAKE_CASE			)





							def 		a__   (  self		:Tuple  ,_UpperCamelCase		:Union[str, Any]			):
									return (
									    "This is a test",
									    "This is a test",
									)





							def 		a__   (  self		:List[str]			):
									snake_case_		:							Union[str, Any]			       =						"""</s>"""
									snake_case_		:							Tuple			       =						0

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(_SCREAMING_SNAKE_CASE			)  ,_SCREAMING_SNAKE_CASE			)
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(_SCREAMING_SNAKE_CASE			)  ,_SCREAMING_SNAKE_CASE			)





							def 		a__   (  self		:List[Any]			):
									snake_case_		:							List[Any]			       =						self.get_tokenizer()
									snake_case_		:							int			       =						list(tokenizer.get_vocab().keys()			)

									self.assertEqual(vocab_keys[0]  ,"""</s>"""			)
									self.assertEqual(vocab_keys[1]  ,"""<unk>"""			)
									self.assertEqual(vocab_keys[-1]  ,"""<s>"""			)
									self.assertEqual(len(_SCREAMING_SNAKE_CASE			)  ,tokenizer.vocab_size + len(tokenizer.get_added_vocab()			)			)





							@unittest.skip("""Skip this test while all models are still to be uploaded."""			)
							def 		a__   (  self		:List[Any]			):
									pass





							def 		a__   (  self		:Any			):
									snake_case_		:							List[str]			       =						self.get_tokenizer()

									snake_case_		:							List[Any]			       =						tokenizer.tokenize("""This is a test"""			)
									self.assertListEqual(_SCREAMING_SNAKE_CASE  ,["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]			)

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE			)  ,[2, 3, 4, 5, 6]  ,)

									snake_case_		:							List[Any]			       =						tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]			)
									self.assertListEqual(_SCREAMING_SNAKE_CASE  ,["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]			)

									snake_case_		:							str			       =						tokenizer.convert_tokens_to_string(_SCREAMING_SNAKE_CASE			)
									self.assertEqual(_SCREAMING_SNAKE_CASE  ,"""This is a test"""			)





							@slow
							def 		a__   (  self		:Optional[Any]			):
									# fmt: off
									snake_case_		:							Optional[int]			       =						{"""input_ids""": [[1_2_8_0_2_2, 1_1_0_1_0_8, 3_9_7, 1_1, 3_8_2_7_2, 2_2_4_7, 1_2_4_8_1_1, 2_8_5, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 3_9_5_3_4, 4_4_2_8, 3_9_7, 1_0_1_9, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 4_1_3_3_7, 1_6_7_8_6, 2_4_1, 7, 2_0_2_1_4, 1_7, 1_2_5_6_9_0, 1_0_3_9_8, 7, 4_4_3_7_8, 5_8_0_6_9, 6_8_3_4_2, 7_7_9_8, 7_3_4_3, 1_1, 2_9_9, 3_3_3_1_0, 4, 1_5_8, 3_7_3_5_0, 9_4_0_7_7, 4_5_6_9, 2_9_9, 3_3_3_1_0, 9_0, 4, 5_2_8_4_0, 2_9_0, 4, 3_1_2_7_0, 1_1_2, 2_9_9, 6_8_2, 4, 5_2_8_4_0, 3_9_9_5_3, 1_4_0_7_9, 1_9_3, 5_2_5_1_9, 9_0_8_9_4, 1_7_8_9_4, 1_2_0_6_9_7, 1_1, 4_0_4_4_5, 5_5_1, 1_7, 1_0_1_9, 5_2_5_1_9, 9_0_8_9_4, 1_7_7_5_6, 9_6_3, 1_1, 4_0_4_4_5, 4_8_0, 1_7, 9_7_9_2, 1_1_2_0, 5_1_7_3, 1_3_9_3, 6_2_4_0, 1_6_7_8_6, 2_4_1, 1_2_0_9_9_6, 2_8, 1_2_4_5, 1_3_9_3, 1_1_8_2_4_0, 1_1_1_2_3, 1_0_1_9, 9_3_6_1_2, 2_6_9_1, 1_0_6_1_8, 9_8_0_5_8, 1_2_0_4_0_9, 1_9_2_8, 2_7_9, 4, 4_0_6_8_3, 3_6_7, 1_7_8, 2_0_7, 1_0_1_9, 1_0_3, 1_0_3_1_2_1, 5_0_6, 6_5_2_9_6, 5, 2], [1_2_8_0_2_2, 2_1_2_1_7, 3_6_7, 1_1_7, 1_2_5_4_5_0, 1_2_8, 7_1_9, 7, 7_3_0_8, 4_0, 9_3_6_1_2, 1_2_6_6_9, 1_1_1_6, 1_6_7_0_4, 7_1, 1_7_7_8_5, 3_6_9_9, 1_5_5_9_2, 3_5, 1_4_4, 9_5_8_4, 2_4_1, 1_1_9_4_3, 7_1_3, 9_5_0, 7_9_9, 2_2_4_7, 8_8_4_2_7, 1_5_0, 1_4_9, 1_1_8_8_1_3, 1_2_0_7_0_6, 1_0_1_9, 1_0_6_9_0_6, 8_1_5_1_8, 2_8, 1_2_2_4, 2_2_7_9_9, 3_9_7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1_2_8_0_2_2, 1_6_5_8, 1_2_3_3_1_1, 5_1_5_5, 5_5_7_8, 4_7_2_2, 2_7_9, 1_4_9_4_7, 2_3_6_6, 1_1_2_0, 1_1_9_7, 1_4, 1_3_4_8, 9_2_3_2, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=_SCREAMING_SNAKE_CASE  ,model_name="""facebook/m2m100_418M"""  ,revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e"""  ,)





@require_torch
@require_sentencepiece
@require_tokenizers
class 						__UpperCamelCase	(						unittest.TestCase							):
							lowercase			:		Union[str, Any]   		=  "facebook/m2m100_418M"
							lowercase			:		Optional[Any]   		=  [
							    "In my opinion, there are two levels of response from the French government.",
							    "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
							]
							lowercase			:		Optional[int]   		=  [
							    "Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.",
							    "L'affaire NSA souligne l'absence totale de débat sur le renseignement",
							]

							# fmt: off
							lowercase			:		Union[str, Any]   		=  [EN_CODE, 5_9_3, 1_9_4_9, 1_1_5_7_8_1, 4, 7_1_5_8_6, 4_2_3_4, 6_0_6_3_3, 1_2_6_2_3_3, 4_3_2, 1_2_3_8_0_8, 1_5_5_9_2, 1_1_9_7, 1_1_7_1_3_2, 1_2_0_6_1_8, 5, 2]





							@classmethod
							def 		a__   (  cls		:Union[str, Any]			):
									snake_case_		:							Optional[Any]			       =						MaMaaaTokenizer.from_pretrained(
									    cls.checkpoint_name  ,src_lang="""en"""  ,tgt_lang="""fr"""			)
									snake_case_		:							Any			       =						1
									return cls





							def 		a__   (  self		:str			):
									self.assertEqual(self.tokenizer.get_lang_id("""ar"""			)  ,1_2_8_0_0_6			)
									self.assertEqual(self.tokenizer.get_lang_id("""en"""			)  ,1_2_8_0_2_2			)
									self.assertEqual(self.tokenizer.get_lang_id("""ro"""			)  ,1_2_8_0_7_6			)
									self.assertEqual(self.tokenizer.get_lang_id("""mr"""			)  ,1_2_8_0_6_3			)





							def 		a__   (  self		:Optional[Any]			):
									snake_case_		:							List[str]			       =						self.tokenizer.get_vocab()
									self.assertEqual(len(_SCREAMING_SNAKE_CASE			)  ,self.tokenizer.vocab_size			)
									self.assertEqual(vocab["""<unk>"""]  ,3			)
									self.assertIn(self.tokenizer.get_lang_token("""en"""			)  ,_SCREAMING_SNAKE_CASE			)





							def 		a__   (  self		:Optional[Any]			):
									snake_case_		:							List[Any]			       =						"""en"""
									snake_case_		:							Optional[int]			       =						self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
									self.assertListEqual(self.expected_src_tokens  ,_SCREAMING_SNAKE_CASE			)





							def 		a__   (  self		:List[Any]			):
									self.assertIn(_SCREAMING_SNAKE_CASE  ,self.tokenizer.all_special_ids			)
									# fmt: off
									snake_case_		:							int			       =						[FR_CODE, 5_3_6_4, 8_2, 8_6_4_2, 4, 2_9_4, 4_7, 8, 1_4_0_2_8, 1_3_6, 3_2_8_6, 9_7_0_6, 6, 9_0_7_9_7, 6, 1_4_4_0_1_2, 1_6_2, 8_8_1_2_8, 3_0_0_6_1, 5, 2]
									# fmt: on
									snake_case_		:							List[str]			       =						self.tokenizer.decode(_SCREAMING_SNAKE_CASE  ,skip_special_tokens=_SCREAMING_SNAKE_CASE			)
									snake_case_		:							Tuple			       =						self.tokenizer.decode(generated_ids[1:]  ,skip_special_tokens=_SCREAMING_SNAKE_CASE			)
									self.assertEqual(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE			)
									self.assertNotIn(self.tokenizer.eos_token  ,_SCREAMING_SNAKE_CASE			)





							def 		a__   (  self		:Any			):
									snake_case_		:							Optional[int]			       =						tempfile.mkdtemp()
									snake_case_		:							Tuple			       =						self.tokenizer.lang_token_to_id
									self.tokenizer.save_pretrained(_SCREAMING_SNAKE_CASE			)
									snake_case_		:							Union[str, Any]			       =						MaMaaaTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE			)
									self.assertDictEqual(new_tok.lang_token_to_id  ,_SCREAMING_SNAKE_CASE			)





							@require_torch
							def 		a__   (  self		:int			):
									snake_case_		:							str			       =						"""en"""
									snake_case_		:							Union[str, Any]			       =						"""fr"""

									snake_case_		:							List[str]			       =						self.tokenizer(self.src_text  ,text_target=self.tgt_text  ,padding=_SCREAMING_SNAKE_CASE  ,return_tensors="""pt"""			)

									snake_case_		:							Optional[Any]			       =						shift_tokens_right(
									    batch["""labels"""]  ,self.tokenizer.pad_token_id  ,self.tokenizer.eos_token_id			)

									for k in batch:
											snake_case_		:							Any			       =						batch[k].tolist()
									# batch = {k: v.tolist() for k,v in batch.items()}
									# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
									# batch.decoder_inputs_ids[0][0] ==
									assert batch.input_ids[1][0] == EN_CODE
									assert batch.input_ids[1][-1] == 2
									assert batch.labels[1][0] == FR_CODE
									assert batch.labels[1][-1] == 2
									assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]





							@require_torch
							def 		a__   (  self		:Optional[Any]			):
									snake_case_		:							Optional[Any]			       =						"""mr"""
									self.assertListEqual(self.tokenizer.prefix_tokens  ,[self.tokenizer.get_lang_id("""mr"""			)]			)
									self.assertListEqual(self.tokenizer.suffix_tokens  ,[self.tokenizer.eos_token_id]			)

									snake_case_		:							int			       =						"""zh"""
									self.assertListEqual(self.tokenizer.prefix_tokens  ,[self.tokenizer.get_lang_id("""zh"""			)]			)
									self.assertListEqual(self.tokenizer.suffix_tokens  ,[self.tokenizer.eos_token_id]			)





							@require_torch
							def 		a__   (  self		:int			):
									snake_case_		:							Optional[Any]			       =						"""mr"""
									self.tokenizer._switch_to_target_mode()
									self.assertListEqual(self.tokenizer.prefix_tokens  ,[self.tokenizer.get_lang_id("""mr"""			)]			)
									self.assertListEqual(self.tokenizer.suffix_tokens  ,[self.tokenizer.eos_token_id]			)
									self.tokenizer._switch_to_input_mode()
									self.assertListEqual(self.tokenizer.prefix_tokens  ,[self.tokenizer.get_lang_id(self.tokenizer.src_lang			)]			)

									snake_case_		:							Any			       =						"""zh"""
									self.tokenizer._switch_to_target_mode()
									self.assertListEqual(self.tokenizer.prefix_tokens  ,[self.tokenizer.get_lang_id("""zh"""			)]			)
									self.assertListEqual(self.tokenizer.suffix_tokens  ,[self.tokenizer.eos_token_id]			)
									self.tokenizer._switch_to_input_mode()
									self.assertListEqual(self.tokenizer.prefix_tokens  ,[self.tokenizer.get_lang_id(self.tokenizer.src_lang			)]			)





							@require_torch
							def 		a__   (  self		:List[Any]			):
									snake_case_		:							Optional[Any]			       =						self.tokenizer._build_translation_inputs("""A test"""  ,return_tensors="""pt"""  ,src_lang="""en"""  ,tgt_lang="""ar"""			)

									self.assertEqual(
									    nested_simplify(_SCREAMING_SNAKE_CASE			)  ,{
									        # en_XX, A, test, EOS
									        """input_ids""": [[1_2_8_0_2_2, 5_8, 4_1_8_3, 2]],
									        """attention_mask""": [[1, 1, 1, 1]],
									        # ar_AR
									        """forced_bos_token_id""": 1_2_8_0_0_6,
									    }  ,)



'''simple docstring'''






import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class 						__UpperCamelCase	(						lowercase__						,  unittest.TestCase							):
							lowercase			:		Dict   		=  TransfoXLTokenizer
							lowercase			:		Optional[Any]   		=  False
							lowercase			:		Dict   		=  False





							def 		a__   (  self		:Union[str, Any]			):
									super().setUp()

									snake_case_		:							Optional[int]			       =						[
									    """<unk>""",
									    """[CLS]""",
									    """[SEP]""",
									    """want""",
									    """unwanted""",
									    """wa""",
									    """un""",
									    """running""",
									    """,""",
									    """low""",
									    """l""",
									]
									snake_case_		:							Optional[int]			       =						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 		a__   (  self		:List[Any]  ,**_UpperCamelCase		:Optional[Any]			):
									snake_case_		:							Tuple			       =						True
									return TransfoXLTokenizer.from_pretrained(self.tmpdirname  ,**_UpperCamelCase			)





							def 		a__   (  self		:Tuple  ,_UpperCamelCase		:Union[str, Any]			):
									snake_case_		:							Any			       =						"""<unk> UNwanted , running"""
									snake_case_		:							Optional[int]			       =						"""<unk> unwanted, running"""
									return input_text, output_text





							def 		a__   (  self		:Dict			):
									snake_case_		:							Dict			       =						TransfoXLTokenizer(vocab_file=self.vocab_file  ,lower_case=_UpperCamelCase			)

									snake_case_		:							Dict			       =						tokenizer.tokenize("""<unk> UNwanted , running"""			)
									self.assertListEqual(_UpperCamelCase  ,["""<unk>""", """unwanted""", """,""", """running"""]			)

									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase			)  ,[0, 4, 8, 7]			)





							def 		a__   (  self		:Optional[Any]			):
									snake_case_		:							Dict			       =						TransfoXLTokenizer(lower_case=_UpperCamelCase			)

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





							def 		a__   (  self		:Any			):
									snake_case_		:							List[Any]			       =						TransfoXLTokenizer(lower_case=_UpperCamelCase			)

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





							def 		a__   (  self		:List[str]			):
									snake_case_		:							str			       =						TransfoXLTokenizer(lower_case=_UpperCamelCase			)
									snake_case_		:							List[str]			       =						"""Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
									snake_case_		:							Optional[int]			       =						[
									    """Hello""",
									    """(""",
									    """bracket""",
									    """)""",
									    """and""",
									    """side""",
									    """@-@""",
									    """scrolled""",
									    """[""",
									    """and""",
									    """]""",
									    """Henry""",
									    """'s""",
									    """$""",
									    """5""",
									    """@,@""",
									    """000""",
									    """with""",
									    """3""",
									    """@.@""",
									    """34""",
									    """m""",
									    """.""",
									    """What""",
									    """'s""",
									    """up""",
									    """!""",
									    """?""",
									]

									self.assertListEqual(tokenizer.tokenize(_UpperCamelCase			)  ,_UpperCamelCase			)

									self.assertEqual(tokenizer.convert_tokens_to_string(_UpperCamelCase			)  ,_UpperCamelCase			)





							def 		a__   (  self		:Dict			):
									snake_case_		:							Union[str, Any]			       =						self.get_tokenizer()
									snake_case_		:							Dict			       =						len(_UpperCamelCase			)

									tokenizer.add_tokens(["""new1""", """new2"""]			)
									tokenizer.move_added_token("""new1"""  ,1			)

									# Check that moved token is not copied (duplicate)
									self.assertEqual(len(_UpperCamelCase			)  ,original_len + 2			)
									# Check that token is moved to specified id
									self.assertEqual(tokenizer.encode("""new1"""			)  ,[1]			)
									self.assertEqual(tokenizer.decode([1]			)  ,"""new1"""			)