





'''simple docstring'''






import argparse
import os
import re

import packaging.version


lowerCAmelCase       		=      """examples/"""
lowerCAmelCase       		=      {
    """examples""": (re.compile(R"""^check_min_version\(\"[^\"]+\"\)\s*$""", re.MULTILINE), """check_min_version(\"VERSION\")\n"""),
    """init""": (re.compile(R"""^__version__\s+=\s+\"([^\"]+)\"\s*$""", re.MULTILINE), """__version__ = \"VERSION\"\n"""),
    """setup""": (re.compile(R"""^(\s*)version\s*=\s*\"[^\"]+\",""", re.MULTILINE), R"""\1version=\"VERSION\","""),
    """doc""": (re.compile(R"""^(\s*)release\s*=\s*\"[^\"]+\"$""", re.MULTILINE), """release = \"VERSION\"\n"""),
}
lowerCAmelCase       		=      {
    """init""": """src/diffusers/__init__.py""",
    """setup""": """setup.py""",
}
lowerCAmelCase       		=      """README.md"""






def      __A						(							a_						:  Union[str, Any]      ,a_						:  str      ,a_						:  Any	):
		with open(a_      ,"r"      ,encoding="utf-8"      ,newline="\n"	) as f:
				lowerCAmelCase     :    int						=   f.read()
		lowerCAmelCase	,		lowerCAmelCase     :    Optional[Any]						=   REPLACE_PATTERNS[pattern]
		lowerCAmelCase     :    Tuple						=   replace.replace("VERSION"      ,a_	)
		lowerCAmelCase     :    Dict						=   re_pattern.sub(a_      ,a_	)
		with open(a_      ,"w"      ,encoding="utf-8"      ,newline="\n"	) as f:
				f.write(a_	)






def      __A						(							a_						:  Tuple	):
		for folder, directories, fnames in os.walk(a_	):
				# Removing some of the folders with non-actively maintained examples from the walk
				if "research_projects" in directories:
						directories.remove("research_projects"	)
				if "legacy" in directories:
						directories.remove("legacy"	)
				for fname in fnames:
						if fname.endswith(".py"	):
								update_version_in_file(os.path.join(a_      ,a_	)      ,a_      ,pattern="examples"	)






def      __A						(							a_						:  List[str]      ,a_						:  Optional[int]=False	):
		for pattern, fname in REPLACE_FILES.items():
				update_version_in_file(a_      ,a_      ,a_	)
		if not patch:
				update_version_in_examples(a_	)






def      __A						(							):
		lowerCAmelCase     :    List[str]						=   "🤗 Transformers currently provides the following architectures"
		lowerCAmelCase     :    Dict						=   "1. Want to contribute a new model?"
		with open(a_      ,"r"      ,encoding="utf-8"      ,newline="\n"	) as f:
				lowerCAmelCase     :    Any						=   f.readlines()

		# Find the start of the list.
		lowerCAmelCase     :    List[Any]						=   0
		while not lines[start_index].startswith(_start_prompt	):
				start_index += 1
		start_index += 1

		lowerCAmelCase     :    Union[str, Any]						=   start_index
		# Update the lines in the model list.
		while not lines[index].startswith(_end_prompt	):
				if lines[index].startswith("1."	):
						lowerCAmelCase     :    str						=   lines[index].replace(
						    "https://huggingface.co/docs/diffusers/main/model_doc"      ,"https://huggingface.co/docs/diffusers/model_doc"      ,)
				index += 1

		with open(a_      ,"w"      ,encoding="utf-8"      ,newline="\n"	) as f:
				f.writelines(a_	)






def      __A						(							):
		with open(REPLACE_FILES["init"]      ,"r"	) as f:
				lowerCAmelCase     :    Optional[Any]						=   f.read()
		lowerCAmelCase     :    int						=   REPLACE_PATTERNS["init"][0].search(a_	).groups()[0]
		return packaging.version.parse(a_	)






def      __A						(							a_						:  Optional[Any]=False	):
		lowerCAmelCase     :    Optional[int]						=   get_version()
		if patch and default_version.is_devrelease:
				raise ValueError("Can't create a patch version from the dev branch, checkout a released version!"	)
		if default_version.is_devrelease:
				lowerCAmelCase     :    Tuple						=   default_version.base_version
		elif patch:
				lowerCAmelCase     :    Tuple						=   f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
		else:
				lowerCAmelCase     :    Any						=   f'''{default_version.major}.{default_version.minor + 1}.0'''

		# Now let's ask nicely if that's the right one.
		lowerCAmelCase     :    Optional[Any]						=   input(f'''Which version are you releasing? [{default_version}]'''	)
		if len(a_	) == 0:
				lowerCAmelCase     :    int						=   default_version

		print(f'''Updating version to {version}.'''	)
		global_version_update(a_      ,patch=a_	)






def      __A						(							):
		lowerCAmelCase     :    List[str]						=   get_version()
		lowerCAmelCase     :    Optional[int]						=   f'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
		lowerCAmelCase     :    Optional[int]						=   current_version.base_version

		# Check with the user we got that right.
		lowerCAmelCase     :    Optional[Any]						=   input(f'''Which version are we developing now? [{dev_version}]'''	)
		if len(a_	) == 0:
				lowerCAmelCase     :    int						=   dev_version

		print(f'''Updating version to {version}.'''	)
		global_version_update(a_	)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
					lowerCAmelCase       		=      argparse.ArgumentParser()
					parser.add_argument("""--post_release""", action="""store_true""", help="""Whether this is pre or post release.""")
					parser.add_argument("""--patch""", action="""store_true""", help="""Whether or not this is a patch release.""")
					lowerCAmelCase       		=      parser.parse_args()
					if not args.post_release:
										pre_release_work(patch=args.patch)
					elif args.patch:
										print("""Nothing to do after a patch :-)""")
					else:
										post_release_work()










'''simple docstring'''






import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
class 		lowerCamelCase  (      _A      ,   _A      ,   _A       ):



	@register_to_config
	def __init__(   self		,      a_		,      a_		,      a_		,      a_		,      a_		,      a_		,      a_		,      a_		,      a_		,      a_ = False		,      ):
			super().__init__()

			lowerCAmelCase     :    int						=   nn.Embedding(a_		,      a_	)

			lowerCAmelCase     :    int						=   nn.Embedding(a_		,      a_	)
			lowerCAmelCase     :    int						=   False

			lowerCAmelCase     :    int						=   nn.Dropout(p=a_	)

			lowerCAmelCase     :    str						=   TaConfig(
			    vocab_size=a_		,      d_model=a_		,      num_heads=a_		,      d_kv=a_		,      d_ff=a_		,      dropout_rate=a_		,      feed_forward_proj=a_		,      is_decoder=a_		,      is_encoder_decoder=a_		,      )

			lowerCAmelCase     :    Any						=   nn.ModuleList()
			for lyr_num in range(a_	):
					lowerCAmelCase     :    Optional[Any]						=   TaBlock(a_	)
					self.encoders.append(a_	)

			lowerCAmelCase     :    List[str]						=   TaLayerNorm(a_	)
			lowerCAmelCase     :    Union[str, Any]						=   nn.Dropout(p=a_	)





	def   _lowerCamelCase    (   self		,      a_		,      a_	):
			lowerCAmelCase     :    Optional[Any]						=   self.token_embedder(a_	)

			lowerCAmelCase     :    int						=   encoder_input_tokens.shape[1]
			lowerCAmelCase     :    Optional[int]						=   torch.arange(a_		,      device=encoder_input_tokens.device	)
			x += self.position_encoding(a_	)

			lowerCAmelCase     :    List[str]						=   self.dropout_pre(a_	)

			# inverted the attention mask
			lowerCAmelCase     :    List[Any]						=   encoder_input_tokens.size()
			lowerCAmelCase     :    Dict						=   self.get_extended_attention_mask(a_		,      a_	)

			for lyr in self.encoders:
					lowerCAmelCase     :    Dict						=   lyr(a_		,      a_	)[0]
			lowerCAmelCase     :    int						=   self.layer_norm(a_	)

			return self.dropout_post(a_	), encoder_inputs_mask



