import unittest

from diffusers import __version__
from diffusers.utils import deprecate






class 							_SCREAMING_SNAKE_CASE(   unittest.TestCase	):
   UpperCamelCase_				:						Optional[int] 			=   '.'.join([str(int(__version__.split('.'	)[0]	) + 1	)] + __version__.split('.'	)[1:]	)
   UpperCamelCase_				:						str 			=   '0.0.1'
   def _lowercase(    self    )	->Optional[Any]:
        a  :    Dict				=						{'''deprecated_arg''': 4}

        with self.assertWarns(lowerCAmelCase_    ) as warning:
             a  :    List[Any]				=						deprecate('''deprecated_arg'''							,     self.higher_version							,     '''message'''							,     take_from=lowerCAmelCase_    )

        assert output == 4
        assert (
            str(warning.warning    )
            == F"""The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."""
            " message"
        )
   def _lowercase(    self    )	->int:
        a  :    int				=						{'''deprecated_arg''': 4}

        with self.assertWarns(lowerCAmelCase_    ) as warning:
             a  :    int				=						deprecate(('''deprecated_arg''', self.higher_version, '''message''')							,     take_from=lowerCAmelCase_    )

        assert output == 4
        assert (
            str(warning.warning    )
            == F"""The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."""
            " message"
        )
   def _lowercase(    self    )	->Union[str, Any]:
        a  :    str				=						{'''deprecated_arg_1''': 4, '''deprecated_arg_2''': 8}
        with self.assertWarns(lowerCAmelCase_    ) as warning:
             a			,							a  :    int				=						deprecate(
                 ('''deprecated_arg_1''', self.higher_version, '''Hey''')							,     ('''deprecated_arg_2''', self.higher_version, '''Hey''')							,     take_from=lowerCAmelCase_							,     )
        assert output_a == 4
        assert output_a == 8
        assert (
            str(warning.warnings[0].message    )
            == "The `deprecated_arg_1` argument is deprecated and will be removed in version"
            F""" {self.higher_version}. Hey"""
        )
        assert (
            str(warning.warnings[1].message    )
            == "The `deprecated_arg_2` argument is deprecated and will be removed in version"
            F""" {self.higher_version}. Hey"""
        )
   def _lowercase(    self    )	->int:
        a  :    Union[str, Any]				=						{'''deprecated_arg''': 4}

        with self.assertRaises(lowerCAmelCase_    ) as error:
             deprecate(('''wrong_arg''', self.higher_version, '''message''')							,     take_from=lowerCAmelCase_    )

        assert "test_deprecate_function_incorrect_arg in" in str(error.exception    )
        assert "line" in str(error.exception    )
        assert "got an unexpected keyword argument `deprecated_arg`" in str(error.exception    )
   def _lowercase(    self    )	->List[str]:
        with self.assertWarns(lowerCAmelCase_    ) as warning:
             deprecate(('''deprecated_arg''', self.higher_version, '''message''')    )

        assert (
            str(warning.warning    )
            == F"""`deprecated_arg` is deprecated and will be removed in version {self.higher_version}. message"""
        )
   def _lowercase(    self    )	->List[Any]:
        with self.assertWarns(lowerCAmelCase_    ) as warning:
             deprecate(
                 ('''deprecated_arg_1''', self.higher_version, '''Hey''')							,     ('''deprecated_arg_2''', self.higher_version, '''Hey''')							,     )
        assert (
            str(warning.warnings[0].message    )
            == F"""`deprecated_arg_1` is deprecated and will be removed in version {self.higher_version}. Hey"""
        )
        assert (
            str(warning.warnings[1].message    )
            == F"""`deprecated_arg_2` is deprecated and will be removed in version {self.higher_version}. Hey"""
        )
   def _lowercase(    self    )	->Dict:






        class 							_SCREAMING_SNAKE_CASE:
           UpperCamelCase_				:						Optional[int] 			=   5

        with self.assertWarns(lowerCAmelCase_    ) as warning:
             a  :    Optional[Any]				=						deprecate(('''arg''', self.higher_version, '''message''')							,     take_from=Args()    )

        assert arg == 5
        assert (
            str(warning.warning    )
            == F"""The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"""
        )
   def _lowercase(    self    )	->Any:






        class 							_SCREAMING_SNAKE_CASE:
           UpperCamelCase_				:						Optional[int] 			=   5
           UpperCamelCase_				:						Any 			=   7

        with self.assertWarns(lowerCAmelCase_    ) as warning:
             a			,							a  :    List[Any]				=						deprecate(
                 ('''arg''', self.higher_version, '''message''')							,     ('''foo''', self.higher_version, '''message''')							,     ('''does not exist''', self.higher_version, '''message''')							,     take_from=Args()							,     )

        assert arg_a == 5
        assert arg_a == 7
        assert (
            str(warning.warning    )
            == F"""The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"""
        )
        assert (
            str(warning.warnings[0].message    )
            == F"""The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"""
        )
        assert (
            str(warning.warnings[1].message    )
            == F"""The `foo` attribute is deprecated and will be removed in version {self.higher_version}. message"""
        )
   def _lowercase(    self    )	->Optional[Any]:
        a  :    Tuple				=						{'''deprecated_arg''': 4}

        with self.assertRaises(lowerCAmelCase_    ) as error:
             deprecate(('''wrong_arg''', self.lower_version, '''message''')							,     take_from=lowerCAmelCase_    )

        assert (
            str(error.exception    )
            == "The deprecation tuple ('wrong_arg', '0.0.1', 'message') should be removed since diffusers' version"
            F""" {__version__} is >= {self.lower_version}"""
        )
   def _lowercase(    self    )	->Optional[Any]:
        with self.assertWarns(lowerCAmelCase_    ) as warning:
             deprecate(('''deprecated_arg''', self.higher_version, '''This message is better!!!''')							,     standard_warn=lowerCAmelCase_    )

        assert str(warning.warning    ) == "This message is better!!!"


   def _lowercase(    self    )	->int:
        with self.assertWarns(lowerCAmelCase_    ) as warning:
             deprecate(('''deprecated_arg''', self.higher_version, '''This message is better!!!''')							,     standard_warn=lowerCAmelCase_    )
        assert str(warning.warning    ) == "This message is better!!!"
        assert "diffusers/tests/others/test_utils.py" in warning.filename
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase							   =      logging.get_logger(__name__)

UpperCAmelCase							   =      {
    # pcqm4mv1 now deprecated
    """graphormer-base""": """https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/config.json""",
    # See all Graphormer models at https://huggingface.co/models?filter=graphormer
}






class 							_SCREAMING_SNAKE_CASE(   snake_case__	):
   UpperCamelCase_				:						int 			=   'graphormer'
   UpperCamelCase_				:						Tuple 			=   ['past_key_values']
   def __init__(    self							,     lowerCAmelCase_ = 1							,     lowerCAmelCase_ = 5_12 * 9							,     lowerCAmelCase_ = 5_12 * 3							,     lowerCAmelCase_ = 5_12							,     lowerCAmelCase_ = 5_12							,     lowerCAmelCase_ = 5_12							,     lowerCAmelCase_ = 1_28							,     lowerCAmelCase_ = 5							,     lowerCAmelCase_ = 10_24							,     lowerCAmelCase_ = "multi_hop"							,     lowerCAmelCase_ = 5_12							,     lowerCAmelCase_ = False							,     lowerCAmelCase_ = 12							,     lowerCAmelCase_ = 7_68							,     lowerCAmelCase_ = 7_68							,     lowerCAmelCase_ = 32							,     lowerCAmelCase_ = 0.1							,     lowerCAmelCase_ = 0.1							,     lowerCAmelCase_ = 0.0							,     lowerCAmelCase_ = False							,     lowerCAmelCase_ = False							,     lowerCAmelCase_ = False							,     lowerCAmelCase_ = "gelu"							,     lowerCAmelCase_ = None							,     lowerCAmelCase_ = False							,     lowerCAmelCase_ = 0							,     lowerCAmelCase_ = False							,     lowerCAmelCase_ = 0.0							,     lowerCAmelCase_ = 8							,     lowerCAmelCase_ = None							,     lowerCAmelCase_ = None							,     lowerCAmelCase_ = True							,     lowerCAmelCase_ = True							,     lowerCAmelCase_=0							,     lowerCAmelCase_=1							,     lowerCAmelCase_=2							,     **lowerCAmelCase_							,     )	->Optional[int]:
        a  :    List[Any]				=						num_classes
        a  :    Any				=						num_atoms
        a  :    Dict				=						num_in_degree
        a  :    int				=						num_out_degree
        a  :    Dict				=						num_edges
        a  :    Tuple				=						num_spatial
        a  :    Dict				=						num_edge_dis
        a  :    Optional[int]				=						edge_type
        a  :    List[Any]				=						multi_hop_max_dist
        a  :    Optional[int]				=						spatial_pos_max
        a  :    str				=						max_nodes
        a  :    Optional[Any]				=						num_hidden_layers
        a  :    Any				=						embedding_dim
        a  :    Dict				=						embedding_dim
        a  :    Dict				=						ffn_embedding_dim
        a  :    List[Any]				=						num_attention_heads
        a  :    List[str]				=						dropout
        a  :    int				=						attention_dropout
        a  :    Optional[Any]				=						layerdrop
        a  :    str				=						encoder_normalize_before
        a  :    Optional[int]				=						pre_layernorm
        a  :    Tuple				=						apply_graphormer_init
        a  :    int				=						activation_fn
        a  :    Any				=						embed_scale
        a  :    Optional[int]				=						freeze_embeddings
        a  :    Tuple				=						num_trans_layers_to_freeze
        a  :    List[str]				=						share_input_output_embed
        a  :    List[Any]				=						traceable
        a  :    Optional[Any]				=						q_noise
        a  :    Dict				=						qn_block_size

        # These parameters are here for future extensions
        # atm, the model only supports self attention
        a  :    List[Any]				=						kdim
        a  :    List[str]				=						vdim
        a  :    int				=						self_attention
        a  :    List[Any]				=						bias

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