



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase     :							Optional[int]  							=				logging.get_logger(__name__)

__lowerCamelCase     :							Tuple  							=				{
    "facebook/xmod-base": "https://huggingface.co/facebook/xmod-base/resolve/main/config.json",
    "facebook/xmod-large-prenorm": "https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json",
    "facebook/xmod-base-13-125k": "https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json",
    "facebook/xmod-base-30-125k": "https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json",
    "facebook/xmod-base-30-195k": "https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json",
    "facebook/xmod-base-60-125k": "https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json",
    "facebook/xmod-base-60-265k": "https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json",
    "facebook/xmod-base-75-125k": "https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json",
    "facebook/xmod-base-75-269k": "https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json",
}





class  __magic_name__   (							A__						):
		lowercase      :       Any          ='''xmod'''






		def __init__(						self      :     int				,		UpperCamelCase__      :     int=3_05_22				,		UpperCamelCase__      :     Tuple=7_68				,		UpperCamelCase__      :     List[Any]=12				,		UpperCamelCase__      :     int=12				,		UpperCamelCase__      :     Any=30_72				,		UpperCamelCase__      :     str="gelu"				,		UpperCamelCase__      :     List[Any]=0.1				,		UpperCamelCase__      :     Tuple=0.1				,		UpperCamelCase__      :     str=5_12				,		UpperCamelCase__      :     int=2				,		UpperCamelCase__      :     str=0.02				,		UpperCamelCase__      :     Optional[int]=1e-1_2				,		UpperCamelCase__      :     str=1				,		UpperCamelCase__      :     Dict=0				,		UpperCamelCase__      :     Optional[int]=2				,		UpperCamelCase__      :     Union[str, Any]="absolute"				,		UpperCamelCase__      :     Optional[Any]=True				,		UpperCamelCase__      :     Tuple=None				,		UpperCamelCase__      :     Tuple=False				,		UpperCamelCase__      :     Dict=2				,		UpperCamelCase__      :     str=False				,		UpperCamelCase__      :     Optional[int]=True				,		UpperCamelCase__      :     Dict=True				,		UpperCamelCase__      :     Any=("en_XX",)				,		UpperCamelCase__      :     Optional[int]=None				,		**UpperCamelCase__      :     Tuple				,		)				->					Tuple:
								'''simple docstring'''







								super().__init__(pad_token_id=UpperCamelCase__				,		bos_token_id=UpperCamelCase__				,		eos_token_id=UpperCamelCase__				,		**UpperCamelCase__      )

								UpperCAmelCase         =     vocab_size
								UpperCAmelCase         =     hidden_size
								UpperCAmelCase         =     num_hidden_layers
								UpperCAmelCase         =     num_attention_heads
								UpperCAmelCase         =     hidden_act
								UpperCAmelCase         =     intermediate_size
								UpperCAmelCase         =     hidden_dropout_prob
								UpperCAmelCase         =     attention_probs_dropout_prob
								UpperCAmelCase         =     max_position_embeddings
								UpperCAmelCase         =     type_vocab_size
								UpperCAmelCase         =     initializer_range
								UpperCAmelCase         =     layer_norm_eps
								UpperCAmelCase         =     position_embedding_type
								UpperCAmelCase         =     use_cache
								UpperCAmelCase         =     classifier_dropout
								UpperCAmelCase         =     pre_norm
								UpperCAmelCase         =     adapter_reduction_factor
								UpperCAmelCase         =     adapter_layer_norm
								UpperCAmelCase         =     adapter_reuse_layer_norm
								UpperCAmelCase         =     ln_before_adapter
								UpperCAmelCase         =     list(UpperCamelCase__      )
								UpperCAmelCase         =     default_language





class  __magic_name__   (							A__						):






		@property
		def SCREAMING_SNAKE_CASE_			(						self      :     Any      )				->					Mapping[str, Mapping[int, str]]:
								'''simple docstring'''







								if self.task == "multiple-choice":
														UpperCAmelCase         =     {0: "batch", 1: "choice", 2: "sequence"}
								else:
														UpperCAmelCase         =     {0: "batch", 1: "sequence"}
								return OrderedDict(
								    [
								        ("input_ids", dynamic_axis),
								        ("attention_mask", dynamic_axis),
								    ]      )








import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin





@require_jieba
class  __magic_name__   (							A__,  unittest.TestCase						):
		lowercase      :       Optional[Any]          =CpmAntTokenizer
		lowercase      :       Dict          =False






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







								super().setUp()

								UpperCAmelCase         =     [
								    "<d>",
								    "</d>",
								    "<s>",
								    "</s>",
								    "</_>",
								    "<unk>",
								    "<pad>",
								    "</n>",
								    "我",
								    "是",
								    "C",
								    "P",
								    "M",
								    "A",
								    "n",
								    "t",
								]
								UpperCAmelCase         =     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]      )      )







		@tooslow
		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					Dict:
								'''simple docstring'''







								UpperCAmelCase         =     CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"      )
								UpperCAmelCase         =     "今天天气真好！"
								UpperCAmelCase         =     ["今天", "天气", "真", "好", "！"]
								UpperCAmelCase         =     tokenizer.tokenize(UpperCamelCase__      )
								self.assertListEqual(UpperCamelCase__				,		UpperCamelCase__      )
								UpperCAmelCase         =     "今天天气真好！"
								UpperCAmelCase         =     [tokenizer.bos_token] + tokens

								UpperCAmelCase         =     [6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__      )				,		UpperCamelCase__      )

								UpperCAmelCase         =     tokenizer.decode(UpperCamelCase__      )
								self.assertEqual(UpperCamelCase__				,		UpperCamelCase__      )



