


from typing import Mapping

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


UpperCAmelCase   :    List[str]     =		logging.get_logger(__name__)

UpperCAmelCase   :    Optional[Any]     =		{
    "google/umt5-small": "https://huggingface.co/google/umt5-small/resolve/main/config.json",
    # See all umt5 models at https://huggingface.co/models?filter=umt5
}







class        __lowercase       (							a_  ):



		"""simple docstring"""

		UpperCamelCase     :					Union[str, Any]			       =		"umt5"
		UpperCamelCase     :					Union[str, Any]			       =		["past_key_values"]







		def __init__( self		,      A=25_01_12		,      A=5_12		,      A=64		,      A=10_24		,      A=8		,      A=None		,      A=6		,      A=32		,      A=1_28		,      A=0.1		,      A=1e-6		,      A=1.0		,      A="gated-gelu"		,      A=True		,      A=True		,      A="T5Tokenizer"		,      A=True		,      A=0		,      A=1		,      A=0		,      **A		,      )  -> Union[str, Any]:







					'''simple docstring'''







					super().__init__(
					    is_encoder_decoder=A		,      tokenizer_class=A		,      tie_word_embeddings=A		,      pad_token_id=A		,      eos_token_id=A		,      decoder_start_token_id=A		,      **A		,      )
					lowerCamelCase    		=  vocab_size
					lowerCamelCase    		=  d_model
					lowerCamelCase    		=  d_kv
					lowerCamelCase    		=  d_ff
					lowerCamelCase    		=  num_layers
					lowerCamelCase    		=  (
					    num_decoder_layers if num_decoder_layers is not None else self.num_layers
					)  # default = symmetry
					lowerCamelCase    		=  num_heads
					lowerCamelCase    		=  relative_attention_num_buckets
					lowerCamelCase    		=  relative_attention_max_distance
					lowerCamelCase    		=  dropout_rate
					lowerCamelCase    		=  layer_norm_epsilon
					lowerCamelCase    		=  initializer_factor
					lowerCamelCase    		=  feed_forward_proj
					lowerCamelCase    		=  use_cache

					lowerCamelCase    		=  self.feed_forward_proj.split("""-"""	)
					lowerCamelCase    		=  act_info[-1]
					lowerCamelCase    		=  act_info[0] == """gated"""

					if len(A	) > 1 and act_info[0] != "gated" or len(A	) > 2:
								raise ValueError(
								    F'`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'
								    """Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. """
								    """'gated-gelu' or 'relu'"""	)

					if feed_forward_proj == "gated-gelu":
								lowerCamelCase    		=  """gelu_new"""







		@property
		def 					__A   ( self	)  -> Tuple:







					'''simple docstring'''







					return self.d_model







		@property
		def 					__A   ( self	)  -> Optional[Any]:







					'''simple docstring'''







					return self.num_heads







		@property
		def 					__A   ( self	)  -> Union[str, Any]:







					'''simple docstring'''







					return self.num_layers







class        __lowercase       (							a_  ):



		"""simple docstring"""

		@property
		# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
		def 					__A   ( self	)  -> Mapping[str, Mapping[int, str]]:







					'''simple docstring'''







					lowerCamelCase    		=  {
					    """input_ids""": {0: """batch""", 1: """encoder_sequence"""},
					    """attention_mask""": {0: """batch""", 1: """encoder_sequence"""},
					}
					if self.use_past:
								lowerCamelCase    		=  """past_encoder_sequence + sequence"""
								lowerCamelCase    		=  {0: """batch"""}
								lowerCamelCase    		=  {0: """batch""", 1: """past_decoder_sequence + sequence"""}
					else:
								lowerCamelCase    		=  {0: """batch""", 1: """decoder_sequence"""}
								lowerCamelCase    		=  {0: """batch""", 1: """decoder_sequence"""}

					if self.use_past:
								self.fill_with_past_key_values_(A		,      direction="""inputs"""	)

					return common_inputs







		@property
		# Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
		def 					__A   ( self	)  -> int:







					'''simple docstring'''







					return 13







		@property
		def 					__A   ( self	)  -> float:







					'''simple docstring'''







					return 5e-4





import os
from datetime import datetime as dt

from github import Github


UpperCAmelCase   :    str     =		[
    "good first issue",
    "good second issue",
    "good difficult issue",
    "enhancement",
    "new pipeline/model",
    "new scheduler",
    "wip",
]






def 	__lowerCamelCase						(							):





			'''simple docstring'''




			lowerCamelCase    		=  Github(os.environ["""GITHUB_TOKEN"""]      )
			lowerCamelCase    		=  g.get_repo("""huggingface/diffusers"""      )
			lowerCamelCase    		=  repo.get_issues(state="""open"""      )

			for issue in open_issues:
						lowerCamelCase    		=  sorted(issue.get_comments()  ,							key=lambda lowerCamelCase__      : i.created_at  ,							reverse=lowerCamelCase__      )
						lowerCamelCase    		=  comments[0] if len(lowerCamelCase__      ) > 0 else None
						if (
						    last_comment is not None
						    and last_comment.user.login == "github-actions[bot]"
						    and (dt.utcnow() - issue.updated_at).days > 7
						    and (dt.utcnow() - issue.created_at).days >= 30
						    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
						):
									# Closes the issue after 7 days of inactivity since the Stalebot notification.
									issue.edit(state="""closed"""      )
						elif (
						    "stale" in issue.get_labels()
						    and last_comment is not None
						    and last_comment.user.login != "github-actions[bot]"
						):
									# Opens the issue if someone other than Stalebot commented.
									issue.edit(state="""open"""      )
									issue.remove_from_labels("""stale"""      )
						elif (
						    (dt.utcnow() - issue.updated_at).days > 23
						    and (dt.utcnow() - issue.created_at).days >= 30
						    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
						):
									# Post a Stalebot notification after 23 days of inactivity.
									issue.create_comment(
									    """This issue has been automatically marked as stale because it has not had """
									    """recent activity. If you think this still needs to be addressed """
									    """please comment on this thread.\n\nPlease note that issues that do not follow the """
									    """[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) """
									    """are likely to be ignored."""      )
									issue.add_to_labels("""stale"""      )


if __name__ == "__main__":
		main()

