
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


UpperCAmelCase_		:				List[Any]									=     threading.Lock()
UpperCAmelCase_		:				Optional[int]									=     None

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

UpperCAmelCase_		:				Dict									=     logging.WARNING

UpperCAmelCase_		:				Tuple									=     True




def 		lowerCAmelCase_   (	):
				__magic_name__	:	Tuple								=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_   (	):
				return __name__.split("""."""   )[0]




def 		lowerCAmelCase_   (	):
				return logging.getLogger(_get_library_name()   )




def 		lowerCAmelCase_   (	):
				global _default_handler

				with _lock:
								if _default_handler:
												# This library has already configured the library root logger.
												return
								__magic_name__	:	Tuple								=logging.StreamHandler()  # Set sys.stderr as stream.
								__magic_name__	:	Union[str, Any]								=sys.stderr.flush

								# Apply our default configuration to the library root logger.
								__magic_name__	:	List[str]								=_get_library_root_logger()
								library_root_logger.addHandler(_default_handler   )
								library_root_logger.setLevel(_get_default_logging_level()   )
								__magic_name__	:	Tuple								=False




def 		lowerCAmelCase_   (	):
				global _default_handler

				with _lock:
								if not _default_handler:
												return

								__magic_name__	:	Optional[Any]								=_get_library_root_logger()
								library_root_logger.removeHandler(_default_handler   )
								library_root_logger.setLevel(logging.NOTSET   )
								__magic_name__	:	int								=None




def 		lowerCAmelCase_   (	):
				return log_levels




def 		lowerCAmelCase_   (	lowerCamelCase = None   ):

				if name is None:
								__magic_name__	:	List[Any]								=_get_library_name()

				_configure_library_root_logger()
				return logging.getLogger(a_   )




def 		lowerCAmelCase_   (	):
				_configure_library_root_logger()
				return _get_library_root_logger().getEffectiveLevel()




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				_configure_library_root_logger()
				_get_library_root_logger().setLevel(a_   )




def 		lowerCAmelCase_   (	):
				return set_verbosity(a_   )




def 		lowerCAmelCase_   (	):
				return set_verbosity(a_   )




def 		lowerCAmelCase_   (	):
				return set_verbosity(a_   )




def 		lowerCAmelCase_   (	):
				return set_verbosity(a_   )




def 		lowerCAmelCase_   (	):
				_configure_library_root_logger()

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




def 		lowerCAmelCase_   (	):
				_configure_library_root_logger()

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




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				_configure_library_root_logger()

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




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				_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_   (	):
				_configure_library_root_logger()
				__magic_name__	:	List[str]								=False




def 		lowerCAmelCase_   (	):
				_configure_library_root_logger()
				__magic_name__	:	str								=True




def 		lowerCAmelCase_   (	):
				__magic_name__	:	Union[str, Any]								=_get_library_root_logger().handlers

				for handler in handlers:
								__magic_name__	:	Any								=logging.Formatter("""[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s"""   )
								handler.setFormatter(a_   )




def 		lowerCAmelCase_   (	):
				__magic_name__	:	Optional[Any]								=_get_library_root_logger().handlers

				for handler in handlers:
								handler.setFormatter(a_   )




def 		lowerCAmelCase_   (	self	,     *lowerCamelCase	,     **lowerCamelCase   ):
				__magic_name__	:	str								=os.getenv("""TRANSFORMERS_NO_ADVISORY_WARNINGS"""	,     a_   )
				if no_advisory_warnings:
								return
				self.warning(*a_	,     **a_   )


UpperCAmelCase_		:				Tuple									=     warning_advice




@functools.lru_cache(a_   )
def 		lowerCAmelCase_   (	self	,     *lowerCamelCase	,     **lowerCamelCase   ):
				self.warning(*a_	,     **a_   )


UpperCAmelCase_		:				List[Any]									=     warning_once




class 		__A      :

						def __init__(		self   :Any    , *__snake_case   :str    , **__snake_case   :List[str] ):  # pylint: disable=unused-argument
										'''simple docstring'''

										__magic_name__	:	Union[str, Any]								=args[0] if args else None

						def __iter__(		self   :Optional[int] ):
										'''simple docstring'''

										return iter(self._iterator )

						def __getattr__(		self   :Optional[int]    , __snake_case   :Dict ):
										'''simple docstring'''

										def empty_fn(*__snake_case   :List[Any]    , **__snake_case   :Union[str, Any] ):  # pylint: disable=unused-argument
														return

										return empty_fn

						def __enter__(		self   :Union[str, Any] ):
										'''simple docstring'''

										return self


						def __exit__(		self   :Optional[int]    , __snake_case   :Any    , __snake_case   :List[str]    , __snake_case   :Optional[Any] ):
										'''simple docstring'''

										return




class 		__A      :

						def __call__(		self   :Optional[int]    , *__snake_case   :Dict    , **__snake_case   :Optional[Any] ):
										'''simple docstring'''

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

						def     A__						(		self   :int    , *__snake_case   :Union[str, Any]    , **__snake_case   :Union[str, Any] ):
										'''simple docstring'''

										__magic_name__	:	Union[str, Any]								=None
										if _tqdm_active:
														return tqdm_lib.tqdm.set_lock(*__snake_case    , **__snake_case )


						def     A__						(		self   :Tuple ):
										'''simple docstring'''

										if _tqdm_active:
														return tqdm_lib.tqdm.get_lock()


UpperCAmelCase_		:				Tuple									=     _tqdm_cls()




def 		lowerCAmelCase_   (	):
				global _tqdm_active
				return bool(_tqdm_active   )




def 		lowerCAmelCase_   (	):
				global _tqdm_active
				__magic_name__	:	List[str]								=True
				hf_hub_utils.enable_progress_bars()




def 		lowerCAmelCase_   (	):
				global _tqdm_active
				__magic_name__	:	List[Any]								=False
				hf_hub_utils.disable_progress_bars()










import numpy as np




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase = 1E-12	,     lowerCamelCase = 100	,     ):
				assert np.shape(lowerCamelCase   )[0] == np.shape(lowerCamelCase   )[1]
				# Ensure proper dimensionality.
				assert np.shape(lowerCamelCase   )[0] == np.shape(lowerCamelCase   )[0]
				# Ensure inputs are either both complex or both real
				assert np.iscomplexobj(lowerCamelCase   ) == np.iscomplexobj(lowerCamelCase   )
				__magic_name__	:	List[Any]								=np.iscomplexobj(lowerCamelCase   )
				if is_complex:
								# Ensure complex input_matrix is Hermitian
								assert np.array_equal(lowerCamelCase	,     input_matrix.conj().T   )

				# Set convergence to False. Will define convergence when we exceed max_iterations
				# or when we have small changes from one iteration to next.

				__magic_name__	:	List[Any]								=False
				__magic_name__	:	List[Any]								=0
				__magic_name__	:	List[str]								=0
				__magic_name__	:	str								=1E12

				while not convergence:
								# Multiple matrix by the vector.
								__magic_name__	:	Dict								=np.dot(lowerCamelCase	,     lowerCamelCase   )
								# Normalize the resulting output vector.
								__magic_name__	:	List[str]								=w / np.linalg.norm(lowerCamelCase   )
								# Find rayleigh quotient
								# (faster than usual b/c we know vector is normalized already)
								__magic_name__	:	Any								=vector.conj().T if is_complex else vector.T
								__magic_name__	:	List[str]								=np.dot(lowerCamelCase	,     np.dot(lowerCamelCase	,     lowerCamelCase   )   )

								# Check convergence.
								__magic_name__	:	List[str]								=np.abs(lambda_ - lambda_previous   ) / lambda_
								iterations += 1

								if error <= error_tol or iterations >= max_iterations:
												__magic_name__	:	int								=True

								__magic_name__	:	Optional[Any]								=lambda_

				if is_complex:
								__magic_name__	:	Union[str, Any]								=np.real(lambda_   )

				return lambda_, vector




def 		lowerCAmelCase_   (	):
				__magic_name__	:	Optional[int]								=np.array([[41, 4, 20], [4, 26, 30], [20, 30, 50]]   )
				__magic_name__	:	Any								=np.array([41, 4, 20]   )
				__magic_name__	:	Optional[Any]								=real_input_matrix.astype(np.complexaaa   )
				__magic_name__	:	str								=np.triu(1J * complex_input_matrix	,     1   )
				complex_input_matrix += imag_matrix
				complex_input_matrix += -1 * imag_matrix.T
				__magic_name__	:	List[Any]								=np.array([41, 4, 20]   ).astype(np.complexaaa   )

				for problem_type in ["real", "complex"]:
								if problem_type == "real":
												__magic_name__	:	Union[str, Any]								=real_input_matrix
												__magic_name__	:	List[Any]								=real_vector
								elif problem_type == "complex":
												__magic_name__	:	Optional[Any]								=complex_input_matrix
												__magic_name__	:	Tuple								=complex_vector

								# Our implementation.
								__magic_name__				, __magic_name__	:	Any								=power_iteration(lowerCamelCase	,     lowerCamelCase   )

								# Numpy implementation.

								# Get eigenvalues and eigenvectors using built-in numpy
								# eigh (eigh used for symmetric or hermetian matrices).
								__magic_name__				, __magic_name__	:	int								=np.linalg.eigh(lowerCamelCase   )
								# Last eigenvalue is the maximum one.
								__magic_name__	:	List[str]								=eigen_values[-1]
								# Last column in this matrix is eigenvector corresponding to largest eigenvalue.
								__magic_name__	:	Dict								=eigen_vectors[:, -1]

								# Check our implementation and numpy gives close answers.
								assert np.abs(eigen_value - eigen_value_max   ) <= 1E-6
								# Take absolute values element wise of each eigenvector.
								# as they are only unique to a minus sign.
								assert np.linalg.norm(np.abs(lowerCamelCase   ) - np.abs(lowerCamelCase   )   ) <= 1E-6


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							test_power_iteration()




