

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

from tqdm import auto as tqdm_lib


__UpperCamelCase						:   str							   =	threading.Lock()
__UpperCamelCase						:   Any							   =	None

__UpperCamelCase						:   str							   =	{
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

__UpperCamelCase						:   Union[str, Any]							   =	logging.WARNING

__UpperCamelCase						:   Dict							   =	True

def 						__SCREAMING_SNAKE_CASE						(   ):
	lowerCAmelCase__			:		List[str]						       =			os.getenv('''DIFFUSERS_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 DIFFUSERS_VERBOSITY={env_level_str}, '
			    f'has to be one of: { ", ".join(log_levels.keys()				) }'				)
	return _default_log_level

def 						__SCREAMING_SNAKE_CASE						(   ):
	return __name__.split('''.'''				)[0]

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

def 						__SCREAMING_SNAKE_CASE						(   ):
	global _default_handler

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

		# Apply our default configuration to the library root logger.
		lowerCAmelCase__			:		Optional[int]						       =			_get_library_root_logger()
		library_root_logger.addHandler(_default_handler				)
		library_root_logger.setLevel(_get_default_logging_level()				)
		lowerCAmelCase__			:		Optional[Any]						       =			False

def 						__SCREAMING_SNAKE_CASE						(   ):
	global _default_handler

	with _lock:
		if not _default_handler:
			return

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

def 						__SCREAMING_SNAKE_CASE						(   ):
	return log_levels

def 						__SCREAMING_SNAKE_CASE						(   A_ = None				):

	if name is None:
		lowerCAmelCase__			:		Optional[int]						       =			_get_library_name()

	_configure_library_root_logger()
	return logging.getLogger(A_				)

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

def 						__SCREAMING_SNAKE_CASE						(   A_				):
	_configure_library_root_logger()
	_get_library_root_logger().setLevel(A_				)

def 						__SCREAMING_SNAKE_CASE						(   ):
	return set_verbosity(A_				)

def 						__SCREAMING_SNAKE_CASE						(   ):
	return set_verbosity(A_				)

def 						__SCREAMING_SNAKE_CASE						(   ):
	return set_verbosity(A_				)

def 						__SCREAMING_SNAKE_CASE						(   ):
	return set_verbosity(A_				)

def 						__SCREAMING_SNAKE_CASE						(   ):
	_configure_library_root_logger()

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

def 						__SCREAMING_SNAKE_CASE						(   ):
	_configure_library_root_logger()

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

def 						__SCREAMING_SNAKE_CASE						(   A_				):
	_configure_library_root_logger()

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

def 						__SCREAMING_SNAKE_CASE						(   A_				):
	_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 						__SCREAMING_SNAKE_CASE						(   ):
	_configure_library_root_logger()
	lowerCAmelCase__			:		Dict						       =			False

def 						__SCREAMING_SNAKE_CASE						(   ):
	_configure_library_root_logger()
	lowerCAmelCase__			:		str						       =			True

def 						__SCREAMING_SNAKE_CASE						(   ):
	lowerCAmelCase__			:		Union[str, Any]						       =			_get_library_root_logger().handlers

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

def 						__SCREAMING_SNAKE_CASE						(   ):
	lowerCAmelCase__			:		str						       =			_get_library_root_logger().handlers

	for handler in handlers:
		handler.setFormatter(A_				)

def 						__SCREAMING_SNAKE_CASE						(   self		,  *A_		,  **A_				):
	lowerCAmelCase__			:		int						       =			os.getenv('''DIFFUSERS_NO_ADVISORY_WARNINGS'''		,  A_				)
	if no_advisory_warnings:
		return
	self.warning(*A_		,  **A_				)


__UpperCamelCase						:   Optional[int]							   =	warning_advice







class        SCREAMING_SNAKE_CASE      :






					"""simple docstring"""



					def __init__( self    :       Union[str, Any]     ,*lowercase_    :       Optional[Any]     ,**lowercase_    :       int	):  # pylint: disable=unused-argument
						lowerCAmelCase__			:		Any						       =			args[0] if args else None







					def __iter__( self    :       int	):
						return iter(self._iterator	)







					def __getattr__( self    :       Any     ,lowercase_    :       List[Any]	):






						def empty_fn(*lowercase_    :       Optional[int]     ,**lowercase_    :       Dict	):  # pylint: disable=unused-argument
							return

						return empty_fn







					def __enter__( self    :       List[str]	):
						return self







					def __exit__( self    :       Union[str, Any]     ,lowercase_    :       List[Any]     ,lowercase_    :       Tuple     ,lowercase_    :       Tuple	):
						return







class        SCREAMING_SNAKE_CASE      :






					"""simple docstring"""



					def __call__( self    :       int     ,*lowercase_    :       Any     ,**lowercase_    :       Optional[int]	):






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







					def  __lowerCAmelCase				( self    :       Optional[int]     ,*lowercase_    :       Tuple     ,**lowercase_    :       Tuple	):
						lowerCAmelCase__			:		Union[str, Any]						       =			None
						if _tqdm_active:
							return tqdm_lib.tqdm.set_lock(*lowercase_     ,**lowercase_	)







					def  __lowerCAmelCase				( self    :       Optional[int]	):






						if _tqdm_active:
							return tqdm_lib.tqdm.get_lock()

__UpperCamelCase						:   str							   =	_tqdm_cls()

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

def 						__SCREAMING_SNAKE_CASE						(   ):
	global _tqdm_active
	lowerCAmelCase__			:		Tuple						       =			True





def 						__SCREAMING_SNAKE_CASE						(   ):
	global _tqdm_active
	lowerCAmelCase__			:		List[Any]						       =			False







"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__UpperCamelCase						:   Union[str, Any]							   =	{
    '''configuration_layoutlm''': ['''LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LayoutLMConfig''', '''LayoutLMOnnxConfig'''],
    '''tokenization_layoutlm''': ['''LayoutLMTokenizer'''],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase						:   Union[str, Any]							   =	['''LayoutLMTokenizerFast''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase						:   Dict							   =	[
							    '''LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''LayoutLMForMaskedLM''',
							    '''LayoutLMForSequenceClassification''',
							    '''LayoutLMForTokenClassification''',
							    '''LayoutLMForQuestionAnswering''',
							    '''LayoutLMModel''',
							    '''LayoutLMPreTrainedModel''',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__UpperCamelCase						:   str							   =	[
							    '''TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''TFLayoutLMForMaskedLM''',
							    '''TFLayoutLMForSequenceClassification''',
							    '''TFLayoutLMForTokenClassification''',
							    '''TFLayoutLMForQuestionAnswering''',
							    '''TFLayoutLMMainLayer''',
							    '''TFLayoutLMModel''',
							    '''TFLayoutLMPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
							from .tokenization_layoutlm import LayoutLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_layoutlm_fast import LayoutLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_layoutlm import (
														    LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LayoutLMForMaskedLM,
														    LayoutLMForQuestionAnswering,
														    LayoutLMForSequenceClassification,
														    LayoutLMForTokenClassification,
														    LayoutLMModel,
														    LayoutLMPreTrainedModel,
														)
							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_layoutlm import (
														    TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFLayoutLMForMaskedLM,
														    TFLayoutLMForQuestionAnswering,
														    TFLayoutLMForSequenceClassification,
														    TFLayoutLMForTokenClassification,
														    TFLayoutLMMainLayer,
														    TFLayoutLMModel,
														    TFLayoutLMPreTrainedModel,
														)

else:
							import sys

							__UpperCamelCase						:   int							   =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




