





'''simple docstring'''







import inspect
import os
import re

from transformers.configuration_utils import PretrainedConfig
from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
snake_case_     :       Optional[int]						=  "src/transformers"


# This is to make sure the transformers module imported is the one in the repo.
snake_case_     :       Optional[int]						=  direct_transformers_import(PATH_TO_TRANSFORMERS)

snake_case_     :       Optional[Any]						=  transformers.models.auto.configuration_auto.CONFIG_MAPPING

snake_case_     :       int						=  {
    # used to compute the property `self.chunk_length`
    "EncodecConfig": ["overlap"],
    # used as `self.bert_model = BertModel(config, ...)`
    "DPRConfig": True,
    # not used in modeling files, but it's an important information
    "FSMTConfig": ["langs"],
    # used internally in the configuration class file
    "GPTNeoConfig": ["attention_types"],
    # used internally in the configuration class file
    "EsmConfig": ["is_folding_model"],
    # used during training (despite we don't have training script for these models yet)
    "Mask2FormerConfig": ["ignore_value"],
    # `ignore_value` used during training (despite we don't have training script for these models yet)
    # `norm` used in conversion script (despite not using in the modeling file)
    "OneFormerConfig": ["ignore_value", "norm"],
    # used during preprocessing and collation, see `collating_graphormer.py`
    "GraphormerConfig": ["spatial_pos_max"],
    # used internally in the configuration class file
    "T5Config": ["feed_forward_proj"],
    # used internally in the configuration class file
    # `tokenizer_class` get default value `T5Tokenizer` intentionally
    "MT5Config": ["feed_forward_proj", "tokenizer_class"],
    "UMT5Config": ["feed_forward_proj", "tokenizer_class"],
    # used internally in the configuration class file
    "LongT5Config": ["feed_forward_proj"],
    # used internally in the configuration class file
    "SwitchTransformersConfig": ["feed_forward_proj"],
    # having default values other than `1e-5` - we can't fix them without breaking
    "BioGptConfig": ["layer_norm_eps"],
    # having default values other than `1e-5` - we can't fix them without breaking
    "GLPNConfig": ["layer_norm_eps"],
    # having default values other than `1e-5` - we can't fix them without breaking
    "SegformerConfig": ["layer_norm_eps"],
    # having default values other than `1e-5` - we can't fix them without breaking
    "CvtConfig": ["layer_norm_eps"],
    # having default values other than `1e-5` - we can't fix them without breaking
    "PerceiverConfig": ["layer_norm_eps"],
    # used internally to calculate the feature size
    "InformerConfig": ["num_static_real_features", "num_time_features"],
    # used internally to calculate the feature size
    "TimeSeriesTransformerConfig": ["num_static_real_features", "num_time_features"],
    # used internally to calculate the feature size
    "AutoformerConfig": ["num_static_real_features", "num_time_features"],
    # used internally to calculate `mlp_dim`
    "SamVisionConfig": ["mlp_ratio"],
    # For (head) training, but so far not implemented
    "ClapAudioConfig": ["num_classes"],
    # Not used, but providing useful information to users
    "SpeechT5HifiGanConfig": ["sampling_rate"],
}


# TODO (ydshieh): Check the failing cases, try to fix them or move some cases to the above block once we are sure
SPECIAL_CASES_TO_ALLOW.update(
    {
        "CLIPSegConfig": True,
        "DeformableDetrConfig": True,
        "DetaConfig": True,
        "DinatConfig": True,
        "DonutSwinConfig": True,
        "EfficientFormerConfig": True,
        "FSMTConfig": True,
        "JukeboxConfig": True,
        "LayoutLMv2Config": True,
        "MaskFormerSwinConfig": True,
        "MT5Config": True,
        "NatConfig": True,
        "OneFormerConfig": True,
        "PerceiverConfig": True,
        "RagConfig": True,
        "SpeechT5Config": True,
        "SwinConfig": True,
        "Swin2SRConfig": True,
        "Swinv2Config": True,
        "SwitchTransformersConfig": True,
        "TableTransformerConfig": True,
        "TapasConfig": True,
        "TransfoXLConfig": True,
        "UniSpeechConfig": True,
        "UniSpeechSatConfig": True,
        "WavLMConfig": True,
        "WhisperConfig": True,
        # TODO: @Arthur (for `alignment_head` and `alignment_layer`)
        "JukeboxPriorConfig": True,
        # TODO: @Younes (for `is_decoder`)
        "Pix2StructTextConfig": True,
    }
)





def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Dict,			SCREAMING_SNAKE_CASE__      :			Union[str, Any],			SCREAMING_SNAKE_CASE__      :			List[Any],			SCREAMING_SNAKE_CASE__      :			Union[str, Any]   ) ->	Tuple:
							UpperCAmelCase_			:      Union[str, Any]     						=  False
							for attribute in attributes:
														for modeling_source in source_strings:
																					# check if we can find `config.xxx`, `getattr(config, "xxx", ...)` or `getattr(self.config, "xxx", ...)`
																					if (
																					    F"""config.{attribute}""" in modeling_source
																					    or F"""getattr(config, \"{attribute}\"""" in modeling_source
																					    or F"""getattr(self.config, \"{attribute}\"""" in modeling_source
																					):
																												UpperCAmelCase_			:      int     						=  True
																					# Deal with multi-line cases
																					elif (
																					    re.search(
																					        RF"""getattr[ \t\v\n\r\f]*\([ \t\v\n\r\f]*(self\.)?config,[ \t\v\n\r\f]*\"{attribute}\"""",			SCREAMING_SNAKE_CASE__,			)
																					    is not None
																					):
																												UpperCAmelCase_			:      Any     						=  True
																					# `SequenceSummary` is called with `SequenceSummary(config)`
																					elif attribute in [
																					    "summary_type",
																					    "summary_use_proj",
																					    "summary_activation",
																					    "summary_last_dropout",
																					    "summary_proj_to_labels",
																					    "summary_first_dropout",
																					]:
																												if "SequenceSummary" in modeling_source:
																																			UpperCAmelCase_			:      Optional[int]     						=  True
																					if attribute_used:
																												break
														if attribute_used:
																					break

    # common and important attributes, even if they do not always appear in the modeling files
							UpperCAmelCase_			:      Union[str, Any]     						=  [
							    '''bos_index''',
							    '''eos_index''',
							    '''pad_index''',
							    '''unk_index''',
							    '''mask_index''',
							    '''image_size''',
							    '''use_cache''',
							    '''out_features''',
							    '''out_indices''',
							]
							UpperCAmelCase_			:      Any     						=  ['''encoder_no_repeat_ngram_size''']

							# Special cases to be allowed
							UpperCAmelCase_			:      Union[str, Any]     						=  True
							if not attribute_used:
														UpperCAmelCase_			:      List[str]     						=  False
														for attribute in attributes:
																					# Allow if the default value in the configuration class is different from the one in `PretrainedConfig`
																					if attribute in ["is_encoder_decoder"] and default_value is True:
																												UpperCAmelCase_			:      Tuple     						=  True
																					elif attribute in ["tie_word_embeddings"] and default_value is False:
																												UpperCAmelCase_			:      Any     						=  True

																					# Allow cases without checking the default value in the configuration class
																					elif attribute in attributes_to_allow + attributes_used_in_generation:
																												UpperCAmelCase_			:      Optional[int]     						=  True
																					elif attribute.endswith('''_token_id'''   ):
																												UpperCAmelCase_			:      Any     						=  True

																					# configuration class specific cases
																					if not case_allowed:
																												UpperCAmelCase_			:      str     						=  SPECIAL_CASES_TO_ALLOW.get(config_class.__name__,			[]   )
																												UpperCAmelCase_			:      Tuple     						=  allowed_cases is True or attribute in allowed_cases

							return attribute_used or case_allowed





def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			int   ) ->	str:
							UpperCAmelCase_			:      Any     						=  dict(inspect.signature(config_class.__init__   ).parameters   )
							UpperCAmelCase_			:      List[Any]     						=  [x for x in list(signature.keys()   ) if x not in ['''self''', '''kwargs''']]
							UpperCAmelCase_			:      str     						=  [signature[param].default for param in parameter_names]

							# If `attribute_map` exists, an attribute can have different names to be used in the modeling files, and as long
							# as one variant is used, the test should pass
							UpperCAmelCase_			:      Tuple     						=  {}
							if len(config_class.attribute_map   ) > 0:
														UpperCAmelCase_			:      Optional[int]     						=  {v: k for k, v in config_class.attribute_map.items()}

							# Get the path to modeling source files
							UpperCAmelCase_			:      Optional[int]     						=  inspect.getsourcefile(SCREAMING_SNAKE_CASE__   )
							UpperCAmelCase_			:      Optional[int]     						=  os.path.dirname(SCREAMING_SNAKE_CASE__   )
							# Let's check against all frameworks: as long as one framework uses an attribute, we are good.
							UpperCAmelCase_			:      Optional[int]     						=  [os.path.join(SCREAMING_SNAKE_CASE__,			SCREAMING_SNAKE_CASE__   ) for fn in os.listdir(SCREAMING_SNAKE_CASE__   ) if fn.startswith('''modeling_'''   )]

							# Get the source code strings
							UpperCAmelCase_			:      List[str]     						=  []
							for path in modeling_paths:
														if os.path.isfile(SCREAMING_SNAKE_CASE__   ):
																					with open(SCREAMING_SNAKE_CASE__   ) as fp:
																												modeling_sources.append(fp.read()   )

							UpperCAmelCase_			:      Dict     						=  []
							for config_param, default_value in zip(SCREAMING_SNAKE_CASE__,			SCREAMING_SNAKE_CASE__   ):
														# `attributes` here is all the variant names for `config_param`
														UpperCAmelCase_			:      List[Any]     						=  [config_param]
														# some configuration classes have non-empty `attribute_map`, and both names could be used in the
														# corresponding modeling files. As long as one of them appears, it is fine.
														if config_param in reversed_attribute_map:
																					attributes.append(reversed_attribute_map[config_param]   )

														if not check_attribute_being_used(SCREAMING_SNAKE_CASE__,			SCREAMING_SNAKE_CASE__,			SCREAMING_SNAKE_CASE__,			SCREAMING_SNAKE_CASE__   ):
																					unused_attributes.append(attributes[0]   )

							return sorted(SCREAMING_SNAKE_CASE__   )





def        lowerCamelCase_      (  ) ->	List[str]:
							UpperCAmelCase_			:      str     						=  {}
							for _config_class in list(CONFIG_MAPPING.values()   ):
														# Skip deprecated models
														if "models.deprecated" in _config_class.__module__:
																					continue
														# Some config classes are not in `CONFIG_MAPPING` (e.g. `CLIPVisionConfig`, `Blip2VisionConfig`, etc.)
														UpperCAmelCase_			:      Any     						=  [
														    cls
														    for name, cls in inspect.getmembers(
														        inspect.getmodule(_config_class   ),			lambda SCREAMING_SNAKE_CASE__   : inspect.isclass(SCREAMING_SNAKE_CASE__   )
														        and issubclass(SCREAMING_SNAKE_CASE__,			SCREAMING_SNAKE_CASE__   )
														        and inspect.getmodule(SCREAMING_SNAKE_CASE__   ) == inspect.getmodule(_config_class   ),			)
														]
														for config_class in config_classes_in_module:
																					UpperCAmelCase_			:      Optional[Any]     						=  check_config_attributes_being_used(SCREAMING_SNAKE_CASE__   )
																					if len(SCREAMING_SNAKE_CASE__   ) > 0:
																												UpperCAmelCase_			:      Optional[int]     						=  unused_attributes

							if len(SCREAMING_SNAKE_CASE__   ) > 0:
														UpperCAmelCase_			:      Dict     						=  '''The following configuration classes contain unused attributes in the corresponding modeling files:\n'''
														for name, attributes in configs_with_unused_attributes.items():
																					error += F"""{name}: {attributes}\n"""

														raise ValueError(SCREAMING_SNAKE_CASE__   )


if __name__ == "__main__":
					check_config_attributes()












'''simple docstring'''







from collections.abc import Iterable
from typing import Any


class 					__a      :

							def __init__(							self							:     Optional[Any]       ,     __magic_name__							:     int | None = None   )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_			:      List[str]     						=  value
													UpperCAmelCase_			:      Node | None     						=  None  # Added in order to delete a node easier
													UpperCAmelCase_			:      Node | None     						=  None
													UpperCAmelCase_			:      Node | None     						=  None



							def __repr__(							self							:     List[str]   )					->       str:







													"""simple docstring"""
													from pprint import pformat

													if self.left is None and self.right is None:
																			return str(self.value   )
													return pformat({F"""{self.value}""": (self.left, self.right)}       ,     indent=1   )





class 					__a      :

							def __init__(							self							:     int       ,     __magic_name__							:     Node | None = None   )					->       Optional[int]:







													"""simple docstring"""
													UpperCAmelCase_			:      str     						=  root

							def __str__(							self							:     Any   )					->       str:







													"""simple docstring"""
													return str(self.root   )

							def     UpperCAmelCase__	(							self							:     Any       ,     __magic_name__							:     Node       ,     __magic_name__							:     Node | None   )					->       None:







													"""simple docstring"""
													if new_children is not None:  # reset its kids
																			UpperCAmelCase_			:      Dict     						=  node.parent
													if node.parent is not None:  # reset its parent
																			if self.is_right(__magic_name__   ):  # If it is the right children
																									UpperCAmelCase_			:      Optional[Any]     						=  new_children
																			else:
																									UpperCAmelCase_			:      Optional[int]     						=  new_children
													else:
																			UpperCAmelCase_			:      List[str]     						=  new_children

							def     UpperCAmelCase__	(							self							:     List[str]       ,     __magic_name__							:     Node   )					->       bool:







													"""simple docstring"""
													if node.parent and node.parent.right:
																			return node == node.parent.right
													return False

							def     UpperCAmelCase__	(							self							:     Union[str, Any]   )					->       bool:







													"""simple docstring"""
													return self.root is None

							def     UpperCAmelCase__	(							self							:     Any       ,     __magic_name__							:     str   )					->       None:







													"""simple docstring"""
													UpperCAmelCase_			:      Tuple     						=  Node(__magic_name__   )  # create a new Node
													if self.empty():  # if Tree is empty
																			UpperCAmelCase_			:      List[Any]     						=  new_node  # set its root
													else:  # Tree is not empty
																			UpperCAmelCase_			:      str     						=  self.root  # from root
																			if parent_node is None:
																									return
																			while True:  # While we don't get to a leaf
																									if value < parent_node.value:  # We go left
																															if parent_node.left is None:
																																					UpperCAmelCase_			:      Union[str, Any]     						=  new_node  # We insert the new node in a leaf
																																					break
																															else:
																																					UpperCAmelCase_			:      List[Any]     						=  parent_node.left
																									else:
																															if parent_node.right is None:
																																					UpperCAmelCase_			:      List[Any]     						=  new_node
																																					break
																															else:
																																					UpperCAmelCase_			:      Union[str, Any]     						=  parent_node.right
																			UpperCAmelCase_			:      Union[str, Any]     						=  parent_node

							def     UpperCAmelCase__	(							self							:     Optional[Any]       ,     *__magic_name__							:     List[str]   )					->       None:







													"""simple docstring"""
													for value in values:
																			self.__insert(__magic_name__   )

							def     UpperCAmelCase__	(							self							:     Dict       ,     __magic_name__							:     int   )					->       Node | None:







													"""simple docstring"""
													if self.empty():
																			raise IndexError('''Warning: Tree is empty! please use another.'''   )
													else:
																			UpperCAmelCase_			:      str     						=  self.root
																			# use lazy evaluation here to avoid NoneType Attribute error
																			while node is not None and node.value is not value:
																									UpperCAmelCase_			:      List[str]     						=  node.left if value < node.value else node.right
																			return node

							def     UpperCAmelCase__	(							self							:     Optional[int]       ,     __magic_name__							:     Node | None = None   )					->       Node | None:







													"""simple docstring"""
													if node is None:
																			if self.root is None:
																									return None
																			UpperCAmelCase_			:      Dict     						=  self.root

													if not self.empty():
																			while node.right is not None:
																									UpperCAmelCase_			:      Any     						=  node.right
													return node

							def     UpperCAmelCase__	(							self							:     Dict       ,     __magic_name__							:     Node | None = None   )					->       Node | None:







													"""simple docstring"""
													if node is None:
																			UpperCAmelCase_			:      Optional[int]     						=  self.root
													if self.root is None:
																			return None
													if not self.empty():
																			UpperCAmelCase_			:      Union[str, Any]     						=  self.root
																			while node.left is not None:
																									UpperCAmelCase_			:      Dict     						=  node.left
													return node

							def     UpperCAmelCase__	(							self							:     Tuple       ,     __magic_name__							:     int   )					->       None:







													"""simple docstring"""
													UpperCAmelCase_			:      List[str]     						=  self.search(__magic_name__   )  # Look for the node with that label
													if node is not None:
																			if node.left is None and node.right is None:  # If it has no children
																									self.__reassign_nodes(__magic_name__       ,     __magic_name__   )
																			elif node.left is None:  # Has only right children
																									self.__reassign_nodes(__magic_name__       ,     node.right   )
																			elif node.right is None:  # Has only left children
																									self.__reassign_nodes(__magic_name__       ,     node.left   )
																			else:
																									UpperCAmelCase_			:      List[str]     						=  self.get_max(
																									    node.left   )  # Gets the max value of the left branch
																									self.remove(tmp_node.value   )  # type: ignore
																									UpperCAmelCase_			:      Optional[int]     						=  (
																									    tmp_node.value  # type: ignore
																									)  # Assigns the value to the node to delete and keep tree structure

							def     UpperCAmelCase__	(							self							:     List[Any]       ,     __magic_name__							:     Node | None   )					->       Iterable:







													"""simple docstring"""
													if node is not None:
																			yield node  # Preorder Traversal
																			yield from self.preorder_traverse(node.left   )
																			yield from self.preorder_traverse(node.right   )

							def     UpperCAmelCase__	(							self							:     List[Any]       ,     __magic_name__							:     List[Any]=None   )					->       Any:







													"""simple docstring"""
													if traversal_function is None:
																			return self.preorder_traverse(self.root   )
													else:
																			return traversal_function(self.root   )

							def     UpperCAmelCase__	(							self							:     Optional[int]       ,     __magic_name__							:     list       ,     __magic_name__							:     Node | None   )					->       None:







													"""simple docstring"""
													if node:
																			self.inorder(__magic_name__       ,     node.left   )
																			arr.append(node.value   )
																			self.inorder(__magic_name__       ,     node.right   )



							def     UpperCAmelCase__	(							self							:     Tuple       ,     __magic_name__							:     int       ,     __magic_name__							:     Node   )					->       int:







													"""simple docstring"""
													UpperCAmelCase_			:      list[int]     						=  []
													self.inorder(__magic_name__       ,     __magic_name__   )  # append all values to list using inorder traversal
													return arr[k - 1]





def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Node | None   ) ->	list[Node]:
						UpperCAmelCase_			:      Any     						=  []
						if curr_node is not None:
												UpperCAmelCase_			:      Any     						=  postorder(curr_node.left   ) + postorder(curr_node.right   ) + [curr_node]
						return node_list





def        lowerCamelCase_      (  ) ->	None:
						UpperCAmelCase_			:      str     						=  (8, 3, 6, 1, 10, 14, 13, 4, 7)
						UpperCAmelCase_			:      Tuple     						=  BinarySearchTree()
						for i in testlist:
												t.insert(SCREAMING_SNAKE_CASE__   )

						# Prints all the elements of the list in order traversal
						print(SCREAMING_SNAKE_CASE__   )

						if t.search(6   ) is not None:
												print('''The value 6 exists'''   )
						else:
												print('''The value 6 doesn\'t exist'''   )

						if t.search(-1   ) is not None:
												print('''The value -1 exists'''   )
						else:
												print('''The value -1 doesn\'t exist'''   )

						if not t.empty():
												print('''Max Value: ''',			t.get_max().value   )  # type: ignore
												print('''Min Value: ''',			t.get_min().value   )  # type: ignore

						for i in testlist:
												t.remove(SCREAMING_SNAKE_CASE__   )
												print(SCREAMING_SNAKE_CASE__   )


if __name__ == "__main__":
					import doctest

					doctest.testmod(verbose=True)





