

"""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  lowerCamelCase    (A__      ,unittest.TestCase      ):
			lowerCamelCase__ :		int       		=				TransfoXLTokenizer
			lowerCamelCase__ :		List[str]       		=				False
			lowerCamelCase__ :		Optional[int]       		=				False

			def        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     List[str]:
						super().setUp()

						SCREAMING_SNAKE_CASE__										=   [
						    """<unk>""",
						    """[CLS]""",
						    """[SEP]""",
						    """want""",
						    """unwanted""",
						    """wa""",
						    """un""",
						    """running""",
						    """,""",
						    """low""",
						    """l""",
						]
						SCREAMING_SNAKE_CASE__										=   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					:    Optional[int]     ,					**__UpperCAmelCase					:    Optional[int]							) ->     Optional[Any]:
						SCREAMING_SNAKE_CASE__										=   True
						return TransfoXLTokenizer.from_pretrained(self.tmpdirname     ,					**__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    List[str]     ,					__UpperCAmelCase					:    Any							) ->     Optional[int]:
						SCREAMING_SNAKE_CASE__										=   """<unk> UNwanted , running"""
						SCREAMING_SNAKE_CASE__										=   """<unk> unwanted, running"""
						return input_text, output_text

			def        SCREAMING_SNAKE_CASE					(       self					:    str							) ->     Optional[Any]:
						SCREAMING_SNAKE_CASE__										=   TransfoXLTokenizer(vocab_file=self.vocab_file     ,					lower_case=__UpperCAmelCase							)

						SCREAMING_SNAKE_CASE__										=   tokenizer.tokenize("""<unk> UNwanted , running"""							)
						self.assertListEqual(__UpperCAmelCase     ,					["""<unk>""", """unwanted""", """,""", """running"""]							)

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

			def        SCREAMING_SNAKE_CASE					(       self					:    str							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   TransfoXLTokenizer(lower_case=__UpperCAmelCase							)

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

			def        SCREAMING_SNAKE_CASE					(       self					:    Optional[int]							) ->     Optional[int]:
						SCREAMING_SNAKE_CASE__										=   TransfoXLTokenizer(lower_case=__UpperCAmelCase							)

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

			def        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     Optional[int]:
						SCREAMING_SNAKE_CASE__										=   TransfoXLTokenizer(lower_case=__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   """Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
						SCREAMING_SNAKE_CASE__										=   [
						    """Hello""",
						    """(""",
						    """bracket""",
						    """)""",
						    """and""",
						    """side""",
						    """@-@""",
						    """scrolled""",
						    """[""",
						    """and""",
						    """]""",
						    """Henry""",
						    """'s""",
						    """$""",
						    """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        SCREAMING_SNAKE_CASE					(       self					:    List[Any]							) ->     Any:
						SCREAMING_SNAKE_CASE__										=   self.get_tokenizer()
						SCREAMING_SNAKE_CASE__										=   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"""							)





"""simple docstring"""




from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


A_				:      Union[str, Any]           =			{
    "susnato/ernie-m-base_pytorch": "https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json",
    "susnato/ernie-m-large_pytorch": "https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json",
}





class  lowerCamelCase    (A__      ):
			lowerCamelCase__ :		int       		=				'ernie_m'
			lowerCamelCase__ :		Dict[str, str]       		=				{"dropout": "classifier_dropout", "num_classes": "num_labels"}

			def __init__(       self					:    List[str]     ,					__UpperCAmelCase					:    int = 2_5_0_0_0_2     ,					__UpperCAmelCase					:    int = 7_6_8     ,					__UpperCAmelCase					:    int = 1_2     ,					__UpperCAmelCase					:    int = 1_2     ,					__UpperCAmelCase					:    int = 3_0_7_2     ,					__UpperCAmelCase					:    str = "gelu"     ,					__UpperCAmelCase					:    float = 0.1     ,					__UpperCAmelCase					:    float = 0.1     ,					__UpperCAmelCase					:    int = 5_1_4     ,					__UpperCAmelCase					:    float = 0.02     ,					__UpperCAmelCase					:    int = 1     ,					__UpperCAmelCase					:    float = 1e-05     ,					__UpperCAmelCase					:    Union[str, Any]=None     ,					__UpperCAmelCase					:    List[Any]=False     ,					__UpperCAmelCase					:    Union[str, Any]=0.0     ,					**__UpperCAmelCase					:    Any     ,					) ->     Optional[Any]:
						super().__init__(pad_token_id=__UpperCAmelCase     ,					**__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   vocab_size
						SCREAMING_SNAKE_CASE__										=   hidden_size
						SCREAMING_SNAKE_CASE__										=   num_hidden_layers
						SCREAMING_SNAKE_CASE__										=   num_attention_heads
						SCREAMING_SNAKE_CASE__										=   intermediate_size
						SCREAMING_SNAKE_CASE__										=   hidden_act
						SCREAMING_SNAKE_CASE__										=   hidden_dropout_prob
						SCREAMING_SNAKE_CASE__										=   attention_probs_dropout_prob
						SCREAMING_SNAKE_CASE__										=   max_position_embeddings
						SCREAMING_SNAKE_CASE__										=   initializer_range
						SCREAMING_SNAKE_CASE__										=   layer_norm_eps
						SCREAMING_SNAKE_CASE__										=   classifier_dropout
						SCREAMING_SNAKE_CASE__										=   is_decoder
						SCREAMING_SNAKE_CASE__										=   act_dropout


