



'''simple docstring'''





import functools
import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

import huggingface_hub.utils as hf_hub_utils
from tqdm import auto as tqdm_lib


lowercase_									=    threading.Lock()
lowercase_									=    None

lowercase_									=    {
    "debug": logging.DEBUG,
    "info": logging.INFO,
    "warning": logging.WARNING,
    "error": logging.ERROR,
    "critical": logging.CRITICAL,
}

lowercase_									=    logging.WARNING

lowercase_									=    True




def lowerCAmelCase    ():



     """simple docstring"""



     _a           =    os.getenv('''TRANSFORMERS_VERBOSITY'''    ,      __A)
     if env_level_str:
          if env_level_str in log_levels:
               return log_levels[env_level_str]
          else:
               logging.getLogger().warning(
                   F'''Unknown option TRANSFORMERS_VERBOSITY={env_level_str}, '''
                   F'''has to be one of: { ', '.join(log_levels.keys()) }''')
     return _default_log_level




def lowerCAmelCase    ():



     """simple docstring"""



     return __name__.split('''.''')[0]




def lowerCAmelCase    ():



     """simple docstring"""



     return logging.getLogger(_get_library_name())




def lowerCAmelCase    ():



     """simple docstring"""



     global _default_handler

     with _lock:
          if _default_handler:
               # This library has already configured the library root logger.
               return
          _a           =    logging.StreamHandler()  # Set sys.stderr as stream.
          _a           =    sys.stderr.flush

          # Apply our default configuration to the library root logger.
          _a           =    _get_library_root_logger()
          library_root_logger.addHandler(_default_handler)
          library_root_logger.setLevel(_get_default_logging_level())
          _a           =    False




def lowerCAmelCase    ():



     """simple docstring"""



     global _default_handler

     with _lock:
          if not _default_handler:
               return

          _a           =    _get_library_root_logger()
          library_root_logger.removeHandler(_default_handler)
          library_root_logger.setLevel(logging.NOTSET)
          _a           =    None




def lowerCAmelCase    ():



     """simple docstring"""



     return log_levels




def lowerCAmelCase    (__A = None):



     """simple docstring"""



     if name is None:
          _a           =    _get_library_name()

     _configure_library_root_logger()
     return logging.getLogger(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     _configure_library_root_logger()
     return _get_library_root_logger().getEffectiveLevel()




def lowerCAmelCase    (__A):



     """simple docstring"""



     _configure_library_root_logger()
     _get_library_root_logger().setLevel(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     return set_verbosity(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     return set_verbosity(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     return set_verbosity(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     return set_verbosity(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     _configure_library_root_logger()

     assert _default_handler is not None
     _get_library_root_logger().removeHandler(_default_handler)




def lowerCAmelCase    ():



     """simple docstring"""



     _configure_library_root_logger()

     assert _default_handler is not None
     _get_library_root_logger().addHandler(_default_handler)




def lowerCAmelCase    (__A):



     """simple docstring"""



     _configure_library_root_logger()

     assert handler is not None
     _get_library_root_logger().addHandler(__A)




def lowerCAmelCase    (__A):



     """simple docstring"""



     _configure_library_root_logger()

     assert handler is not None and handler not in _get_library_root_logger().handlers
     _get_library_root_logger().removeHandler(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     _configure_library_root_logger()
     _a           =    False




def lowerCAmelCase    ():



     """simple docstring"""



     _configure_library_root_logger()
     _a           =    True




def lowerCAmelCase    ():



     """simple docstring"""



     _a           =    _get_library_root_logger().handlers

     for handler in handlers:
          _a           =    logging.Formatter('''[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s''')
          handler.setFormatter(__A)




def lowerCAmelCase    ():



     """simple docstring"""



     _a           =    _get_library_root_logger().handlers

     for handler in handlers:
          handler.setFormatter(__A)




def lowerCAmelCase    (self    ,      *__A    ,      **__A):



     """simple docstring"""



     _a           =    os.getenv('''TRANSFORMERS_NO_ADVISORY_WARNINGS'''    ,      __A)
     if no_advisory_warnings:
          return
     self.warning(*__A    ,      **__A)


lowercase_									=    warning_advice




@functools.lru_cache(__A)
def lowerCAmelCase    (self    ,      *__A    ,      **__A):



     """simple docstring"""



     self.warning(*__A    ,      **__A)


lowercase_									=    warning_once






class __A     :



 '''simple docstring'''







 def __init__(self					,  *A					,  **A			)       ->	str:  # pylint: disable=unused-argument


      """simple docstring"""



      _a           =    args[0] if args else None



 def __iter__(self			)       ->	Optional[int]:


      """simple docstring"""



      return iter(self._iterator			)



 def __getattr__(self					,  A			)       ->	Optional[int]:


      """simple docstring"""



      def empty_fn(*A					,  **A			):  # pylint: disable=unused-argument
           return

      return empty_fn



 def __enter__(self			)       ->	List[Any]:


      """simple docstring"""



      return self



 def __exit__(self					,  A					,  A					,  A			)       ->	Union[str, Any]:


      """simple docstring"""



      return






class __A     :



 '''simple docstring'''







 def __call__(self					,  *A					,  **A			)       ->	Optional[Any]:


      """simple docstring"""



      if _tqdm_active:
           return tqdm_lib.tqdm(*A					,  **A			)
      else:
           return EmptyTqdm(*A					,  **A			)



 def    a__    (self					,  *A					,  **A			)       ->	Optional[int]:


      """simple docstring"""



      _a           =    None
      if _tqdm_active:
           return tqdm_lib.tqdm.set_lock(*A					,  **A			)



 def    a__    (self			)       ->	Optional[int]:


      """simple docstring"""



      if _tqdm_active:
           return tqdm_lib.tqdm.get_lock()





lowercase_									=    _tqdm_cls()




def lowerCAmelCase    ():



     """simple docstring"""



     global _tqdm_active
     return bool(_tqdm_active)




def lowerCAmelCase    ():



     """simple docstring"""



     global _tqdm_active
     _a           =    True
     hf_hub_utils.enable_progress_bars()




def lowerCAmelCase    ():



     """simple docstring"""



     global _tqdm_active
     _a           =    False
     hf_hub_utils.disable_progress_bars()






"""simple docstring"""




import pandas as pd
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression

# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import train_test_split

# Fitting Polynomial Regression to the dataset
from sklearn.preprocessing import PolynomialFeatures

# Importing the dataset
A_				:      int           =			pd.read_csv(
    "https://s3.us-west-2.amazonaws.com/public.gamelab.fun/dataset/"
    "position_salaries.csv"
)
A_				:      int           =			dataset.iloc[:, 1:2].values
A_				:      Optional[Any]           =			dataset.iloc[:, 2].values


A_       ,						A_       ,						A_       ,						A_				:      str           =			train_test_split(X, y, test_size=0.2, random_state=0)


A_				:      Optional[Any]           =			PolynomialFeatures(degree=4)
A_				:      Tuple           =			poly_reg.fit_transform(X)
A_				:      str           =			LinearRegression()
pol_reg.fit(X_poly, y)

def 						A							(  ):




			'''simple docstring'''


			plt.scatter(snake_case__		,					snake_case__		,					color="""red"""     )
			plt.plot(snake_case__		,					pol_reg.predict(poly_reg.fit_transform(snake_case__     )     )		,					color="""blue"""     )
			plt.title("""Truth or Bluff (Linear Regression)"""     )
			plt.xlabel("""Position level"""     )
			plt.ylabel("""Salary"""     )
			plt.show()


if __name__ == "__main__":
						viz_polymonial()

						# Predicting a new result with Polymonial Regression
						pol_reg.predict(poly_reg.fit_transform([[5.5]]))
						# output should be 132148.43750003


