



from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase_							:      Union[str, Any]      =  logging.get_logger(__name__)

UpperCAmelCase_							:      Tuple      =  {
    "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json",
    "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json",
    "junnyu/roformer_chinese_char_small": (
        "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"
    ),
    "junnyu/roformer_chinese_char_base": (
        "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"
    ),
    "junnyu/roformer_small_discriminator": (
        "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"
    ),
    "junnyu/roformer_small_generator": (
        "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}






class      UpperCamelCase    (						__a     ):
	lowerCAmelCase	:   Optional[int]				=	"""roformer"""



	def __init__(       self			,	UpperCAmelCase__=50_000			,	UpperCAmelCase__=None			,	UpperCAmelCase__=768			,	UpperCAmelCase__=12			,	UpperCAmelCase__=12			,	UpperCAmelCase__=3_072			,	UpperCAmelCase__="gelu"			,	UpperCAmelCase__=0.1			,	UpperCAmelCase__=0.1			,	UpperCAmelCase__=1_536			,	UpperCAmelCase__=2			,	UpperCAmelCase__=0.02			,	UpperCAmelCase__=1e-1_2			,	UpperCAmelCase__=0			,	UpperCAmelCase__=False			,	UpperCAmelCase__=True			,	**UpperCAmelCase__			,	):
							super().__init__(pad_token_id=UpperCamelCase__			,	**UpperCamelCase__		)

							A__							=       vocab_size
							A__							=       hidden_size if embedding_size is None else embedding_size
							A__							=       hidden_size
							A__							=       num_hidden_layers
							A__							=       num_attention_heads
							A__							=       hidden_act
							A__							=       intermediate_size
							A__							=       hidden_dropout_prob
							A__							=       attention_probs_dropout_prob
							A__							=       max_position_embeddings
							A__							=       type_vocab_size
							A__							=       initializer_range
							A__							=       layer_norm_eps
							A__							=       rotary_value
							A__							=       use_cache






class      UpperCamelCase    (						__a     ):



	@property
	def 			__A							(       self		):



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










import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout
def  UpperCamelCase						(       _A			:				Optional[int]    )->       List[Any]:





						"""simple docstring"""





						A__							=       FileLock(str(tmpdir / "foo.lock"    )    )
						A__							=       FileLock(str(tmpdir / "foo.lock"    )    )
						A__							=       0.01
						with locka.acquire():
												with pytest.raises(_A    ):
																		A__							=       time.time()
																		locka.acquire(_A    )
																		assert time.time() - _start > timeout
def  UpperCamelCase						(       _A			:				str    )->       List[Any]:





						"""simple docstring"""





						A__							=       "a" * 1000 + ".lock"
						A__							=       FileLock(str(tmpdir / filename    )    )
						assert locka._lock_file.endswith(".lock"    )
						assert not locka._lock_file.endswith(_A    )
						assert len(os.path.basename(locka._lock_file    )    ) <= 255
						A__							=       FileLock(tmpdir / filename    )
						with locka.acquire():
												with pytest.raises(_A    ):
																		locka.acquire(0    )





