

"""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       :  List[Any]        = logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE       :  Dict        = {
    """mnaylor/mega-base-wikitext""": """https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json""",
}

class     __a   (      snake_case__    ):

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_						     =						'mega'






			def __init__(							self     :					Union[str, Any]						,  lowercase_     :					Optional[Any]=3_0522						,  lowercase_     :					int=128						,  lowercase_     :					str=4						,  lowercase_     :					Optional[int]=256						,  lowercase_     :					List[Any]=16						,  lowercase_     :					Optional[int]=True						,  lowercase_     :					Union[str, Any]=64						,  lowercase_     :					Union[str, Any]=False						,  lowercase_     :					int=-1						,  lowercase_     :					Union[str, Any]=None						,  lowercase_     :					str=True						,  lowercase_     :					List[str]="scalenorm"						,  lowercase_     :					List[Any]=True						,  lowercase_     :					Optional[int]="silu"						,  lowercase_     :					Union[str, Any]="softmax"						,  lowercase_     :					Union[str, Any]=0.1						,  lowercase_     :					Optional[Any]=0.1						,  lowercase_     :					Dict=0.1						,  lowercase_     :					int=False						,  lowercase_     :					Any=True						,  lowercase_     :					Union[str, Any]=256						,  lowercase_     :					Dict=True						,  lowercase_     :					Optional[Any]=0.1						,  lowercase_     :					List[Any]=2048						,  lowercase_     :					Optional[int]=False						,  lowercase_     :					List[Any]=2						,  lowercase_     :					List[str]=0.0_2						,  lowercase_     :					Union[str, Any]=0.2						,  lowercase_     :					Tuple=0.0_2						,  lowercase_     :					List[str]=1.0						,  lowercase_     :					List[Any]=1						,  lowercase_     :					Optional[Any]=0						,  lowercase_     :					List[Any]=2						,  lowercase_     :					Any="rotary"						,  lowercase_     :					Dict=None						,  lowercase_     :					int=True						,  lowercase_     :					List[str]=True						,  **lowercase_     :					int						,  ):
								super().__init__(pad_token_id=lowercase_						,  bos_token_id=lowercase_						,  eos_token_id=lowercase_						,  **lowercase_						)

								UpperCamelCase__		:    Dict         =vocab_size
								UpperCamelCase__		:    Optional[int]         =hidden_size
								UpperCamelCase__		:    Tuple         =num_hidden_layers
								UpperCamelCase__		:    Any         =activation
								UpperCamelCase__		:    Optional[Any]         =attention_activation
								UpperCamelCase__		:    Optional[int]         =intermediate_size
								UpperCamelCase__		:    Union[str, Any]         =ema_projection_size
								UpperCamelCase__		:    Dict         =bidirectional
								UpperCamelCase__		:    Optional[int]         =shared_representation_size
								UpperCamelCase__		:    Dict         =use_chunking
								UpperCamelCase__		:    Dict         =chunk_size
								UpperCamelCase__		:    Optional[Any]         =truncation
								UpperCamelCase__		:    Dict         =normalize_before_mega
								UpperCamelCase__		:    str         =normalization_type
								UpperCamelCase__		:    List[Any]         =norm_affine
								UpperCamelCase__		:    Any         =dropout_prob
								UpperCamelCase__		:    List[Any]         =hidden_dropout_prob
								UpperCamelCase__		:    Optional[int]         =attention_probs_dropout_prob
								UpperCamelCase__		:    Optional[int]         =use_feature_dropout
								UpperCamelCase__		:    Union[str, Any]         =use_normalized_ffn
								UpperCamelCase__		:    List[Any]         =nffn_hidden_size
								UpperCamelCase__		:    Optional[int]         =normalize_before_ffn
								UpperCamelCase__		:    Union[str, Any]         =nffn_activation_dropout_prob
								UpperCamelCase__		:    Optional[int]         =max_positions
								UpperCamelCase__		:    Dict         =add_token_type_embeddings
								UpperCamelCase__		:    Optional[Any]         =type_vocab_size
								UpperCamelCase__		:    List[Any]         =initializer_range
								UpperCamelCase__		:    Tuple         =ema_delta_alpha_range
								UpperCamelCase__		:    str         =ema_beta_range
								UpperCamelCase__		:    Dict         =ema_gamma_omega_range
								UpperCamelCase__		:    Union[str, Any]         =relative_positional_bias
								UpperCamelCase__		:    str         =use_cache
								UpperCamelCase__		:    Any         =classifier_dropout
								UpperCamelCase__		:    Tuple         =add_lm_hidden_dense_layer
								UpperCamelCase__		:    Optional[int]         =1  # not used but required by Hugging Face



class     __a   (      snake_case__    ):

			"""simple docstring"""

			@property
			def    _lowerCAmelCase			(							self     :					int						):
								if self.task == "multiple-choice":
													UpperCamelCase__		:    Tuple         ={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
								else:
													UpperCamelCase__		:    Union[str, Any]         ={0: '''batch''', 1: '''sequence'''}
								return OrderedDict(
								    [
								        ('''input_ids''', dynamic_axis),
								        ('''attention_mask''', dynamic_axis),
								    ]						)





"""simple docstring"""





import unittest

from transformers.image_processing_utils import get_size_dict

class     __a   (      unittest.TestCase    ):

			"""simple docstring"""

			def    _lowerCAmelCase			(							self     :					Dict						):
								# Test a dict with the wrong keys raises an error
								UpperCamelCase__		:    str         ={'''wrong_key''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    Any         ={'''height''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    List[str]         ={'''width''': 224, '''shortest_edge''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								# Test a dict with the correct keys is returned as is
								UpperCamelCase__		:    int         ={'''height''': 224, '''width''': 224}
								UpperCamelCase__		:    str         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  lowercase_						)

								UpperCamelCase__		:    List[Any]         ={'''shortest_edge''': 224}
								UpperCamelCase__		:    List[str]         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								UpperCamelCase__		:    List[Any]         ={'''longest_edge''': 224, '''shortest_edge''': 224}
								UpperCamelCase__		:    Tuple         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''longest_edge''': 224, '''shortest_edge''': 224}						)

								# Test a single int value which  represents (size, size)
								UpperCamelCase__		:    Optional[int]         =get_size_dict(224						)
								self.assertEqual(lowercase_						,  {'''height''': 224, '''width''': 224}						)

								# Test a single int value which represents the shortest edge
								UpperCamelCase__		:    str         =get_size_dict(224						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								# Test a tuple of ints which represents (height, width)
								UpperCamelCase__		:    List[str]         =get_size_dict((150, 200)						)
								self.assertEqual(lowercase_						,  {'''height''': 150, '''width''': 200}						)

								# Test a tuple of ints which represents (width, height)
								UpperCamelCase__		:    Optional[int]         =get_size_dict((150, 200)						,  height_width_order=lowercase_						)
								self.assertEqual(lowercase_						,  {'''height''': 200, '''width''': 150}						)

								# Test an int representing the shortest edge and max_size which represents the longest edge
								UpperCamelCase__		:    int         =get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224, '''longest_edge''': 256}						)

								# Test int with default_to_square=True and max_size fails
								with self.assertRaises(lowercase_						):
													get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)


