

import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils






class     lowerCamelCase_			(  unittest.TestCase  ):




	@patch("""diffusers.utils.hub_utils.get_full_repo_name"""       )
	def 					lowerCAmelCase_					(    self	:    Dict				,			__A	:    Mock       ):
		__A   : Optional[Any]								= """full_repo_name"""
		with TemporaryDirectory() as tmpdir:
			# Dummy args values
			__A   : Union[str, Any]								= Mock()
			__A   : Union[str, Any]								= tmpdir
			__A   : str								= 0
			__A   : Optional[Any]								= """hub_token"""
			__A   : Any								= """dataset_name"""
			__A   : Dict								= 0.0_1
			__A   : Optional[int]								= 10_0000
			__A   : Optional[Any]								= 1_0000
			__A   : Union[str, Any]								= 0.0_1
			__A   : List[str]								= 0.0_2
			__A   : Any								= 0.0_3
			__A   : str								= 0.0_0_0_5
			__A   : Any								= 0.0_0_0_0_0_1
			__A   : Tuple								= 1
			__A   : str								= 10
			__A   : Optional[int]								= 0.0_0_1
			__A   : int								= 0.1
			__A   : Tuple								= 0.2
			__A   : List[Any]								= True

			# Model card mush be rendered and saved
			diffusers.utils.hub_utils.create_model_card(__A				,			model_name="""model_name"""       )
			self.assertTrue((Path(__A       ) / """README.md""").is_file()       )








from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_       :				Optional[Any]		   =      logging.get_logger(__name__)

UpperCAmelCase_       :				List[str]		   =      {
    '''uw-madison/nystromformer-512''': '''https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json''',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}






class     lowerCamelCase_			(  _lowercase  ):
	_lowercase		:      Optional[Any]    				=							'''nystromformer'''




	def __init__(    self	:    Optional[Any]				,			__A	:    Optional[Any]=3_0000				,			__A	:    Optional[int]=768				,			__A	:    List[str]=12				,			__A	:    str=12				,			__A	:    Tuple=3072				,			__A	:    List[Any]="gelu_new"				,			__A	:    Dict=0.1				,			__A	:    Optional[int]=0.1				,			__A	:    int=510				,			__A	:    Union[str, Any]=2				,			__A	:    Optional[int]=64				,			__A	:    str=64				,			__A	:    List[str]=65				,			__A	:    Tuple=False				,			__A	:    List[str]=0.0_2				,			__A	:    Tuple=1e-5				,			__A	:    List[str]=1				,			__A	:    int=0				,			__A	:    Tuple=2				,			**__A	:    Dict				,			):
		__A   : str								= vocab_size
		__A   : Union[str, Any]								= max_position_embeddings
		__A   : Optional[int]								= hidden_size
		__A   : Optional[int]								= num_hidden_layers
		__A   : List[Any]								= num_attention_heads
		__A   : Dict								= intermediate_size
		__A   : Union[str, Any]								= hidden_act
		__A   : int								= hidden_dropout_prob
		__A   : Tuple								= attention_probs_dropout_prob
		__A   : Optional[Any]								= initializer_range
		__A   : int								= type_vocab_size
		__A   : Optional[int]								= segment_means_seq_len
		__A   : List[str]								= num_landmarks
		__A   : Dict								= conv_kernel_size
		__A   : Union[str, Any]								= inv_coeff_init_option
		__A   : Union[str, Any]								= layer_norm_eps
		super().__init__(pad_token_id=__A				,			bos_token_id=__A				,			eos_token_id=__A				,			**__A       )





