





'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


_SCREAMING_SNAKE_CASE		       =							logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE		       =							{
    "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       lowerCAmelCase_						(						__magic_name__						):
 __lowerCamelCase  :							Optional[Any]				     =    "roformer"




 def __init__(		self	,   _lowerCAmelCase=50000	,   _lowerCAmelCase=None	,   _lowerCAmelCase=768	,   _lowerCAmelCase=12	,   _lowerCAmelCase=12	,   _lowerCAmelCase=3072	,   _lowerCAmelCase="gelu"	,   _lowerCAmelCase=0.1	,   _lowerCAmelCase=0.1	,   _lowerCAmelCase=1536	,   _lowerCAmelCase=2	,   _lowerCAmelCase=0.02	,   _lowerCAmelCase=1E-12	,   _lowerCAmelCase=0	,   _lowerCAmelCase=False	,   _lowerCAmelCase=True	,   **_lowerCAmelCase	,   )			->							int:
     super().__init__(pad_token_id=__lowerCAmelCase	,   **__lowerCAmelCase						)

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







class       lowerCAmelCase_						(						__magic_name__						):




 @property
 def 							_snake_case      (		self						)			->							Tuple:







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









import pytest

from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested

from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows





def lowerCAmelCase__(__snake_case							)				->      int:  # picklable for multiprocessing







	'''simple docstring'''







	return i + 1





@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def lowerCAmelCase__()				->      Any:







	'''simple docstring'''







	with parallel_backend('''spark'''							):
		assert ParallelBackendConfig.backend_name == "spark"

	lowerCamelCase__								=		[1, 2, 3]
	with pytest.raises(__snake_case							):
		with parallel_backend('''unsupported backend'''							):
			map_nested(__snake_case       ,__snake_case       ,num_proc=2							)

	with pytest.raises(__snake_case							):
		with parallel_backend('''unsupported backend'''							):
			map_nested(__snake_case       ,__snake_case       ,num_proc=-1							)





@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize('''num_proc'''       ,[2, -1]							)
def lowerCAmelCase__(__snake_case							)				->      Tuple:







	'''simple docstring'''







	lowerCamelCase__								=		[1, 2]
	lowerCamelCase__								=		{'''a''': 1, '''b''': 2}
	lowerCamelCase__								=		{'''a''': [1, 2], '''b''': [3, 4]}
	lowerCamelCase__								=		{'''a''': {'''1''': 1}, '''b''': 2}
	lowerCamelCase__								=		{'''a''': 1, '''b''': 2, '''c''': 3, '''d''': 4}
	lowerCamelCase__								=		[2, 3]
	lowerCamelCase__								=		{'''a''': 2, '''b''': 3}
	lowerCamelCase__								=		{'''a''': [2, 3], '''b''': [4, 5]}
	lowerCamelCase__								=		{'''a''': {'''1''': 2}, '''b''': 3}
	lowerCamelCase__								=		{'''a''': 2, '''b''': 3, '''c''': 4, '''d''': 5}

	with parallel_backend('''spark'''							):
		assert map_nested(__snake_case       ,__snake_case       ,num_proc=__snake_case							) == expected_map_nested_sa
		assert map_nested(__snake_case       ,__snake_case       ,num_proc=__snake_case							) == expected_map_nested_sa
		assert map_nested(__snake_case       ,__snake_case       ,num_proc=__snake_case							) == expected_map_nested_sa
		assert map_nested(__snake_case       ,__snake_case       ,num_proc=__snake_case							) == expected_map_nested_sa
		assert map_nested(__snake_case       ,__snake_case       ,num_proc=__snake_case							) == expected_map_nested_sa



