



"""simple docstring"""






import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation


__snake_case				:  Optional[int] =       logging.get_logger(__name__)

__snake_case				:  str =       {'''vocab_file''': '''vocab.txt''', '''emoji_file''': '''emoji.json'''}

__snake_case				:  str =       {
    '''vocab_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt''',
    },
    '''emoji_file''': {
        '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json''',
    },
}

__snake_case				:  Optional[Any] =       {
    '''abeja/gpt-neox-japanese-2.7b''': 2_048,
}


def      _lowercase							(    __snake_case   ,__snake_case      )		->  int:
			with open(_UpperCAmelCase   ,"r"   ,encoding="utf-8"      ) as f:
						__lowerCAmelCase :    List[Any]				=			json.loads(f.read()      )

			__lowerCAmelCase :    Union[str, Any]				=			collections.OrderedDict()
			__lowerCAmelCase :    Optional[Any]				=			collections.OrderedDict()
			__lowerCAmelCase :    List[Any]				=			collections.OrderedDict()
			with open(_UpperCAmelCase   ,"r"   ,encoding="utf-8"      ) as f:
						__lowerCAmelCase :    List[str]				=			f.readlines()
			__lowerCAmelCase :    List[Any]				=			[[t.rstrip("\n"      )] if (t == "," or "," not in t) else t.rstrip("\n"      ).split(","      ) for t in token]
			for idx, b in enumerate(_UpperCAmelCase      ):
						__lowerCAmelCase :    Optional[Any]				=			b
						__lowerCAmelCase :    List[Any]				=			idx
						for wd in b:
									__lowerCAmelCase :    List[Any]				=			idx

			return vocab, raw_vocab, ids_to_tokens, emoji



class      A__  (    a__				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE        =      PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE        =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE        =      ['input_ids', 'attention_mask']

	def __init__(	self:						List[Any]			,     _SCREAMING_SNAKE_CASE:						Any			,     _SCREAMING_SNAKE_CASE:						str			,     _SCREAMING_SNAKE_CASE:						List[str]="<|endoftext|>"			,     _SCREAMING_SNAKE_CASE:						int="<|endoftext|>"			,     _SCREAMING_SNAKE_CASE:						str="<|startoftext|>"			,     _SCREAMING_SNAKE_CASE:						Optional[Any]="<|endoftext|>"			,     _SCREAMING_SNAKE_CASE:						Union[str, Any]=False			,     **_SCREAMING_SNAKE_CASE:						Dict			,     )							->			Union[str, Any]:

				"""simple docstring"""

				super().__init__(
				    unk_token=_snake_case			,     pad_token=_snake_case			,     bos_token=_snake_case			,     eos_token=_snake_case			,     do_clean_text=_snake_case			,     **_snake_case			,     )
				if not os.path.isfile(_snake_case):
							raise ValueError(
							    F"""Can\'t find a vocabulary file at path \'{vocab_file}\'. To load the vocabulary from a Google pretrained"""
							    " model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`")
				if not os.path.isfile(_snake_case):
							raise ValueError(
							    F"""Can\'t find a emoji file at path \'{emoji_file}\'. To load the emoji information from a Google"""
							    " pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`")
				__lowerCAmelCase :    str				=			do_clean_text
				__lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase :    int				=			load_vocab_and_emoji(_snake_case			,     _snake_case)
				__lowerCAmelCase :    str				=			SubWordJapaneseTokenizer(
				    vocab=self.vocab			,     ids_to_tokens=self.ids_to_tokens			,     emoji=self.emoji)

	@property
	def 				_SCREAMING_SNAKE_CASE  (	self:						Dict)							->			str:

				"""simple docstring"""

				return len(self.raw_vocab)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Any)							->			Dict:

				"""simple docstring"""

				return dict(self.raw_vocab			,     **self.added_tokens_encoder)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						int)							->			Any:

				"""simple docstring"""

				return self.subword_tokenizer.tokenize(_snake_case			,     clean=self.do_clean_text)

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[str]			,     _SCREAMING_SNAKE_CASE:						Union[str, Any])							->			Optional[int]:

				"""simple docstring"""

				return self.vocab.get(_snake_case			,     self.vocab.get(self.unk_token))

	def 				_SCREAMING_SNAKE_CASE  (	self:						Any			,     _SCREAMING_SNAKE_CASE:						int)							->			Optional[int]:

				"""simple docstring"""

				return self.subword_tokenizer.convert_id_to_token(_snake_case)

	def 				_SCREAMING_SNAKE_CASE  (	self:						int			,     _SCREAMING_SNAKE_CASE:						Any)							->			Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase :    List[str]				=			"".join(_snake_case).strip()
				return out_string

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any]			,     _SCREAMING_SNAKE_CASE:						Optional[Any])							->			Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    str				=			[]
				for is_user, text in conversation.iter_texts():
							input_ids.extend(self.encode(_snake_case			,     add_special_tokens=_snake_case) + [self.eos_token_id])

				if len(_snake_case) > self.model_max_length:
							__lowerCAmelCase :    Optional[int]				=			input_ids[-self.model_max_length :]
				return input_ids







	def 				_SCREAMING_SNAKE_CASE  (	self:						str			,     _SCREAMING_SNAKE_CASE:						List[str]			,     _SCREAMING_SNAKE_CASE:						int = None)							->			int:

				"""simple docstring"""

				__lowerCAmelCase :    Union[str, Any]				=			0
				if os.path.isdir(_snake_case):
							__lowerCAmelCase :    Optional[int]				=			os.path.join(
							    _snake_case			,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
							__lowerCAmelCase :    List[str]				=			os.path.join(
							    _snake_case			,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"])
				else:
							__lowerCAmelCase :    int				=			(
							    (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
							)
							__lowerCAmelCase :    Dict				=			(
							    (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["emoji_file"]
							)
				with open(_snake_case			,     "w"			,     encoding="utf-8") as writer:
							for token_index, token in self.ids_to_tokens.items():
										if index != token_index:
													logger.warning(
													    F"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
													    " Please check that the vocabulary is not corrupted!")
													__lowerCAmelCase :    List[str]				=			token_index
										writer.write(",".join(_snake_case) + "\n")
										index += 1
				with open(_snake_case			,     "w"			,     encoding="utf-8") as writer:
							json.dump(self.emoji			,     _snake_case)
				return vocab_file, emoji_file






class      A__  (    a__				):




	'''simple docstring'''





	def __init__(	self:						Optional[int]			,     _SCREAMING_SNAKE_CASE:						int			,     _SCREAMING_SNAKE_CASE:						str			,     _SCREAMING_SNAKE_CASE:						List[Any])							->			Tuple:

				"""simple docstring"""

				__lowerCAmelCase :    List[str]				=			vocab  # same as swe
				__lowerCAmelCase :    str				=			ids_to_tokens  # same as bpe
				__lowerCAmelCase :    Optional[int]				=			emoji
				__lowerCAmelCase :    int				=			np.max([len(_snake_case) for w in self.vocab.keys()])
				__lowerCAmelCase :    str				=			re.compile(r"(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)")
				__lowerCAmelCase :    List[Any]				=			re.compile(r"[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*")
				__lowerCAmelCase :    Dict				=			re.compile(r"[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}")
				__lowerCAmelCase :    Any				=			re.compile(
				    r"([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*")
				__lowerCAmelCase :    List[Any]				=			re.compile(
				    r"(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*")
				__lowerCAmelCase :    Optional[int]				=			re.compile(
				    r"((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*")
				__lowerCAmelCase :    Optional[int]				=			"─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿"
				__lowerCAmelCase :    List[Any]				=			"▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟"
				__lowerCAmelCase :    str				=			str.maketrans({k: "<BLOCK>" for k in keisen + blocks})

	def __len__(	self:						Dict)							->			Dict:

				"""simple docstring"""

				return len(self.ids_to_tokens)

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any]			,     _SCREAMING_SNAKE_CASE:						str)							->			Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    List[Any]				=			self.content_repattera.sub("<URL>"			,     _snake_case)
				__lowerCAmelCase :    List[Any]				=			self.content_repattera.sub("<EMAIL>"			,     _snake_case)
				__lowerCAmelCase :    List[Any]				=			self.content_repattera.sub("<TEL>"			,     _snake_case)
				__lowerCAmelCase :    str				=			self.content_repattera.sub("<DATE>"			,     _snake_case)
				__lowerCAmelCase :    int				=			self.content_repattera.sub("<DATE>"			,     _snake_case)
				__lowerCAmelCase :    List[str]				=			self.content_repattera.sub("<PRICE>"			,     _snake_case)
				__lowerCAmelCase :    Dict				=			content.translate(self.content_transa)
				while "<BLOCK><BLOCK>" in content:
							__lowerCAmelCase :    str				=			content.replace("<BLOCK><BLOCK>"			,     "<BLOCK>")
				return content

	def 				_SCREAMING_SNAKE_CASE  (	self:						Union[str, Any]			,     _SCREAMING_SNAKE_CASE:						Any			,     _SCREAMING_SNAKE_CASE:						Optional[Any]=False)							->			str:

				"""simple docstring"""

				__lowerCAmelCase :    List[str]				=			text.replace(" "			,     "<SP>")
				__lowerCAmelCase :    str				=			text.replace("　"			,     "<SP>")
				__lowerCAmelCase :    Any				=			text.replace("\r\n"			,     "<BR>")
				__lowerCAmelCase :    int				=			text.replace("\n"			,     "<BR>")
				__lowerCAmelCase :    Dict				=			text.replace("\r"			,     "<BR>")
				__lowerCAmelCase :    Any				=			text.replace("\t"			,     "<TAB>")
				__lowerCAmelCase :    Any				=			text.replace("—"			,     "ー")
				__lowerCAmelCase :    Optional[Any]				=			text.replace("−"			,     "ー")
				for k, v in self.emoji["emoji"].items():
							if k in text:
										__lowerCAmelCase :    Any				=			text.replace(_snake_case			,     _snake_case)
				if clean:
							__lowerCAmelCase :    Dict				=			self.clean_text(_snake_case)

				def check_simbol(_SCREAMING_SNAKE_CASE:						int):
							__lowerCAmelCase :    int				=			x.encode()
							if len(_snake_case) == 1 and len(_snake_case) == 2:
										__lowerCAmelCase :    List[str]				=			(int(e[0]) << 8) + int(e[1])
										if (
										    (c >= 0XC2_A1 and c <= 0XC2_BF)
										    or (c >= 0XC7_80 and c <= 0XC7_83)
										    or (c >= 0XCA_B9 and c <= 0XCB_BF)
										    or (c >= 0XCC_80 and c <= 0XCD_A2)
										):
													return True
							return False

				def checkuae(_SCREAMING_SNAKE_CASE:						Tuple):
							__lowerCAmelCase :    List[Any]				=			x.encode()
							if len(_snake_case) == 1 and len(_snake_case) == 3:
										__lowerCAmelCase :    List[Any]				=			(int(e[0]) << 16) + (int(e[1]) << 8) + int(e[2])
										if c >= 0XE2_80_80 and c <= 0XE2_B0_7F:
													return True
							return False

				__lowerCAmelCase :    Tuple				=			0
				__lowerCAmelCase :    Union[str, Any]				=			[]
				while pos < len(_snake_case):
							__lowerCAmelCase :    int				=			min(len(_snake_case)			,     pos + self.maxlen + 1) if text[pos] == "<" else pos + 3
							__lowerCAmelCase :    int				=			[]  # (token_id, token, pos)
							for e in range(_snake_case			,     _snake_case			,     -1):
										__lowerCAmelCase :    int				=			text[pos:e]
										if wd in self.vocab:
													if wd[0] == "<" and len(_snake_case) > 2:
																__lowerCAmelCase :    Optional[int]				=			[(self.vocab[wd], wd, e)]
																break
													else:
																candidates.append((self.vocab[wd], wd, e))
							if len(_snake_case) > 0:
										# the smallest token_id is adopted
										__lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase :    Tuple				=			sorted(_snake_case			,     key=lambda _SCREAMING_SNAKE_CASE: x[0])[0]
										result.append(_snake_case)
										__lowerCAmelCase :    Tuple				=			e
							else:
										__lowerCAmelCase :    Dict				=			pos + 1
										__lowerCAmelCase :    Optional[Any]				=			text[pos:end]
										if check_simbol(_snake_case):
													result.append("<KIGOU>")
										elif checkuae(_snake_case):
													result.append("<U2000U2BFF>")
										else:
													for i in wd.encode("utf-8"):
																result.append("<|byte%d|>" % i)
										__lowerCAmelCase :    int				=			end
				return result







	def 				_SCREAMING_SNAKE_CASE  (	self:						List[Any]			,     _SCREAMING_SNAKE_CASE:						Dict			,     _SCREAMING_SNAKE_CASE:						List[str]="\n")							->			Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    List[Any]				=			[]
				__lowerCAmelCase :    str				=			[]
				__lowerCAmelCase :    Dict				=			self.ids_to_tokens[index][0]
				if word[:6] == "<|byte" and word[-2:] == "|>":
							byte_tokens.append(int(word[6:-2]))
				else:
							if len(_snake_case) > 0:
										words.append(bytearray(_snake_case).decode("utf-8"			,     errors="replace"))
										__lowerCAmelCase :    Optional[int]				=			[]
							if word[:7] == "<|emoji" and word[-2:] == "|>":
										words.append(self.emoji["emoji_inv"][word])
							elif word == "<SP>":
										words.append(" ")
							elif word == "<BR>":
										words.append(_snake_case)
							elif word == "<TAB>":
										words.append("\t")
							elif word == "<BLOCK>":
										words.append("▀")
							elif word == "<KIGOU>":
										words.append("ǀ")
							elif word == "<U2000U2BFF>":
										words.append("‖")
							else:
										words.append(_snake_case)
				if len(_snake_case) > 0:
							words.append(bytearray(_snake_case).decode("utf-8"			,     errors="replace"))
				__lowerCAmelCase :    int				=			"".join(_snake_case)
				return text






"""simple docstring"""
import argparse
import os
import re

import packaging.version


__UpperCamelCase     :						Union[str, Any]						       =  '''examples/'''
__UpperCamelCase     :						str						       =  {
    '''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'''),
}
__UpperCamelCase     :						List[str]						       =  {
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
__UpperCamelCase     :						Optional[int]						       =  '''README.md'''

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Any  ,     _UpperCAmelCase					:    Dict  ,     _UpperCAmelCase					:    Any			):
 with open(_UpperCAmelCase  ,     'r'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  lowerCAmelCase    				= f.read()
 lowerCAmelCase				,lowerCAmelCase    				= REPLACE_PATTERNS[pattern]
 lowerCAmelCase    				= replace.replace('VERSION'  ,     _UpperCAmelCase			)
 lowerCAmelCase    				= re_pattern.sub(_UpperCAmelCase  ,     _UpperCAmelCase			)
 with open(_UpperCAmelCase  ,     'w'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  f.write(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Union[str, Any]			):
 for folder, directories, fnames in os.walk(_UpperCAmelCase			):
  # 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(_UpperCAmelCase  ,     _UpperCAmelCase			)  ,     _UpperCAmelCase  ,     pattern='examples'			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    List[str]  ,     _UpperCAmelCase					:    Dict=False			):
 for pattern, fname in REPLACE_FILES.items():
  update_version_in_file(_UpperCAmelCase  ,     _UpperCAmelCase  ,     _UpperCAmelCase			)
 if not patch:
  update_version_in_examples(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			():
 lowerCAmelCase    				= '🤗 Transformers currently provides the following architectures'
 lowerCAmelCase    				= '1. Want to contribute a new model?'
 with open(_UpperCAmelCase  ,     '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/transformers/main/model_doc'  ,     'https://huggingface.co/docs/transformers/model_doc'  ,     )
  index += 1

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

def 		_SCREAMING_SNAKE_CASE			():
 with open(REPLACE_FILES['init']  ,     'r'			) as f:
  lowerCAmelCase    				= f.read()
 lowerCAmelCase    				= REPLACE_PATTERNS['init'][0].search(_UpperCAmelCase			).groups()[0]
 return packaging.version.parse(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Tuple=False			):
 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(_UpperCAmelCase			) == 0:
  lowerCAmelCase    				= default_version

 print(F'Updating version to {version}.'			)
 global_version_update(_UpperCAmelCase  ,     patch=_UpperCAmelCase			)
 if not patch:
  print('Cleaning main README, don\'t forget to run `make fix-copies`.'			)
  clean_main_ref_in_model_list()

def 		_SCREAMING_SNAKE_CASE			():
 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(_UpperCAmelCase			) == 0:
  lowerCAmelCase    				= dev_version

 print(F'Updating version to {version}.'			)
 global_version_update(_UpperCAmelCase			)
 print('Cleaning main README, don\'t forget to run `make fix-copies`.'			)
 clean_main_ref_in_model_list()


if __name__ == "__main__":
       __UpperCamelCase     :						Optional[int]						       =  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.''')
       __UpperCamelCase     :						Optional[int]						       =  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()





