





import argparse
import os
import re

import packaging.version


A_												=     "examples/"
A_												=     {
    "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"),
}
A_												=     {
    "init": "src/diffusers/__init__.py",
    "setup": "setup.py",
}
A_												=     "README.md"





def    __UpperCamelCase      (    a,     a,     a) ->str:
					with open(a,     "r",     encoding="utf-8",     newline="\n") as f:
										lowerCamelCase__       =       f.read()
					lowerCamelCase__    ,		lowerCamelCase__       =       REPLACE_PATTERNS[pattern]
					lowerCamelCase__       =       replace.replace("VERSION",     a)
					lowerCamelCase__       =       re_pattern.sub(a,     a)
					with open(a,     "w",     encoding="utf-8",     newline="\n") as f:
										f.write(a)





def    __UpperCamelCase      (    a) ->List[str]:
					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    __UpperCamelCase      (    a,     a=False) ->int:
					for pattern, fname in REPLACE_FILES.items():
										update_version_in_file(a,     a,     a)
					if not patch:
										update_version_in_examples(a)





def    __UpperCamelCase      (    ) ->str:
					lowerCamelCase__       =       "🤗 Transformers currently provides the following architectures"
					lowerCamelCase__       =       "1. Want to contribute a new model?"
					with open(a,     "r",     encoding="utf-8",     newline="\n") as f:
										lowerCamelCase__       =       f.readlines()

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

					lowerCamelCase__       =       start_index
					# Update the lines in the model list.
					while not lines[index].startswith(_end_prompt):
										if lines[index].startswith("1."):
															lowerCamelCase__       =       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    __UpperCamelCase      (    ) ->Tuple:
					with open(REPLACE_FILES["init"],     "r") as f:
										lowerCamelCase__       =       f.read()
					lowerCamelCase__       =       REPLACE_PATTERNS["init"][0].search(a).groups()[0]
					return packaging.version.parse(a)





def    __UpperCamelCase      (    a=False) ->Dict:
					lowerCamelCase__       =       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__       =       default_version.base_version
					elif patch:
										lowerCamelCase__       =       f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
					else:
										lowerCamelCase__       =       f"{default_version.major}.{default_version.minor + 1}.0"

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

					print(f"Updating version to {version}.")
					global_version_update(a,     patch=a)





def    __UpperCamelCase      (    ) ->int:
					lowerCamelCase__       =       get_version()
					lowerCamelCase__       =       f"{current_version.major}.{current_version.minor + 1}.0.dev0"
					lowerCamelCase__       =       current_version.base_version

					# Check with the user we got that right.
					lowerCamelCase__       =       input(f"Which version are we developing now? [{dev_version}]")
					if len(a) == 0:
										lowerCamelCase__       =       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__":
				A_												=     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.")
				A_												=     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()








from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


A_												=     {
    "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/config.json",
    "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/config.json",
    "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/config.json",
    "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json",
    "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/config.json",
    "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/config.json",
    "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/config.json",
    "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json",
}

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					A__				 =    "albert"





					def __init__( self	,  _lowerCAmelCase=3_0000	,  _lowerCAmelCase=128	,  _lowerCAmelCase=4096	,  _lowerCAmelCase=12	,  _lowerCAmelCase=1	,  _lowerCAmelCase=64	,  _lowerCAmelCase=1_6384	,  _lowerCAmelCase=1	,  _lowerCAmelCase="gelu_new"	,  _lowerCAmelCase=0	,  _lowerCAmelCase=0	,  _lowerCAmelCase=512	,  _lowerCAmelCase=2	,  _lowerCAmelCase=0.02	,  _lowerCAmelCase=1E-12	,  _lowerCAmelCase=0.1	,  _lowerCAmelCase="absolute"	,  _lowerCAmelCase=0	,  _lowerCAmelCase=2	,  _lowerCAmelCase=3	,  **_lowerCAmelCase	,  ):
										super().__init__(pad_token_id=_lowerCAmelCase	,  bos_token_id=_lowerCAmelCase	,  eos_token_id=_lowerCAmelCase	,  **_lowerCAmelCase	)

										lowerCamelCase__       =       vocab_size
										lowerCamelCase__       =       embedding_size
										lowerCamelCase__       =       hidden_size
										lowerCamelCase__       =       num_hidden_layers
										lowerCamelCase__       =       num_hidden_groups
										lowerCamelCase__       =       num_attention_heads
										lowerCamelCase__       =       inner_group_num
										lowerCamelCase__       =       hidden_act
										lowerCamelCase__       =       intermediate_size
										lowerCamelCase__       =       hidden_dropout_prob
										lowerCamelCase__       =       attention_probs_dropout_prob
										lowerCamelCase__       =       max_position_embeddings
										lowerCamelCase__       =       type_vocab_size
										lowerCamelCase__       =       initializer_range
										lowerCamelCase__       =       layer_norm_eps
										lowerCamelCase__       =       classifier_dropout_prob
										lowerCamelCase__       =       position_embedding_type

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





					"""simple docstring"""


					@property
					def 					__magic_name__ ( self	):
										if self.task == "multiple-choice":
															lowerCamelCase__       =       {0: "batch", 1: "choice", 2: "sequence"}
										else:
															lowerCamelCase__       =       {0: "batch", 1: "sequence"}
										return OrderedDict(
										    [
										        ("input_ids", dynamic_axis),
										        ("attention_mask", dynamic_axis),
										        ("token_type_ids", dynamic_axis),
										    ]	)

