



"""simple docstring"""






import numpy as np
import pandas as pd
from sklearn.preprocessing import Normalizer
from sklearn.svm import SVR
from statsmodels.tsa.statespace.sarimax import SARIMAX


def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )		->  List[str]:
			__lowerCAmelCase :    List[Any]				=			np.array([[1, item, train_mtch[i]] for i, item in enumerate(_UpperCAmelCase      )]      )
			__lowerCAmelCase :    Dict				=			np.array(_UpperCAmelCase      )
			__lowerCAmelCase :    Union[str, Any]				=			np.dot(np.dot(np.linalg.inv(np.dot(x.transpose()   ,_UpperCAmelCase      )      )   ,x.transpose()      )   ,_UpperCAmelCase      )
			return abs(beta[0] + test_dt[0] * beta[1] + test_mtch[0] + beta[2]      )


def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case      )		->  Optional[int]:
			__lowerCAmelCase :    Optional[Any]				=			(1, 2, 1)
			__lowerCAmelCase :    str				=			(1, 1, 0, 7)
			__lowerCAmelCase :    Optional[int]				=			SARIMAX(
			    _UpperCAmelCase   ,exog=_UpperCAmelCase   ,order=_UpperCAmelCase   ,seasonal_order=_UpperCAmelCase      )
			__lowerCAmelCase :    str				=			model.fit(disp=_UpperCAmelCase   ,maxiter=600   ,method="nm"      )
			__lowerCAmelCase :    Union[str, Any]				=			model_fit.predict(1   ,len(_UpperCAmelCase      )   ,exog=[test_match]      )
			return result[0]


def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case      )		->  List[str]:
			__lowerCAmelCase :    Any				=			SVR(kernel="rbf"   ,C=1   ,gamma=0.1   ,epsilon=0.1      )
			regressor.fit(_UpperCAmelCase   ,_UpperCAmelCase      )
			__lowerCAmelCase :    Optional[int]				=			regressor.predict(_UpperCAmelCase      )
			return y_pred[0]


def      _lowercase							(    __snake_case      )		->  Union[str, Any]:
			train_user.sort()
			__lowerCAmelCase :    Dict				=			np.percentile(_UpperCAmelCase   ,25      )
			__lowerCAmelCase :    List[Any]				=			np.percentile(_UpperCAmelCase   ,75      )
			__lowerCAmelCase :    Tuple				=			qa - qa
			__lowerCAmelCase :    Any				=			qa - (iqr * 0.1)
			return low_lim


def      _lowercase							(    __snake_case   ,__snake_case      )		->  str:
			__lowerCAmelCase :    int				=			0
			__lowerCAmelCase :    Dict				=			0
			for i in list_vote:
						if i > actual_result:
									__lowerCAmelCase :    List[str]				=			not_safe + 1
						else:
									if abs(abs(_UpperCAmelCase      ) - abs(_UpperCAmelCase      )      ) <= 0.1:
												safe += 1
									else:
												not_safe += 1
			return safe > not_safe


if __name__ == "__main__":
	# data_input_df = pd.read_csv("ex_data.csv", header=None)
	__snake_case				:  Optional[Any] =       [[18_231, 0.0, 1], [22_621, 1.0, 2], [15_675, 0.0, 3], [23_583, 1.0, 4]]
	__snake_case				:  Any =       pd.DataFrame(
	    data_input, columns=['total_user', 'total_even', 'days']
	)
	__snake_case				:  Dict =       Normalizer().fit_transform(data_input_df.values)
	# split data
	__snake_case				:  Dict =       normalize_df[:, 2].tolist()
	__snake_case				:  Union[str, Any] =       normalize_df[:, 0].tolist()
	__snake_case				:  List[str] =       normalize_df[:, 1].tolist()

	# for svr (input variable = total date and total match)
	__snake_case				:  Optional[int] =       normalize_df[:, [1, 2]].tolist()
	__snake_case				:  Tuple =       x[: len(x) - 1]
	__snake_case				:  Any =       x[len(x) - 1 :]

	# for linear regression & sarimax
	__snake_case				:  str =       total_date[: len(total_date) - 1]
	__snake_case				:  Union[str, Any] =       total_user[: len(total_user) - 1]
	__snake_case				:  List[Any] =       total_match[: len(total_match) - 1]

	__snake_case				:  Optional[Any] =       total_date[len(total_date) - 1 :]
	__snake_case				:  str =       total_user[len(total_user) - 1 :]
	__snake_case				:  str =       total_match[len(total_match) - 1 :]

	# voting system with forecasting
	__snake_case				:  Any =       [
	    linear_regression_prediction(
	        trn_date, trn_user, trn_match, tst_date, tst_match
	    ),
	    sarimax_predictor(trn_user, trn_match, tst_match),
	    support_vector_regressor(x_train, x_test, trn_user),
	]

	# check the safety of today's data
	__snake_case				:  List[str] =       '''''' if data_safety_checker(res_vote, tst_user) else '''not '''
	print('Today\'s data is {not_str}safe.')






"""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()





