






"""simple docstring"""



from __future__ import annotations

import unittest
from collections.abc import Iterator





class  _UpperCAmelCase	:




					def __init__(    self					:						Optional[Any]   ,						A					:						int   ,						A					:						Node | None       )  ->  None:
							lowercase_			:			Any								=       label
							lowercase_			:			Dict								=       parent
							lowercase_			:			Node | None								=       None
							lowercase_			:			Node | None								=       None





class  _UpperCAmelCase	:




					def __init__(    self					:						str       )  ->  None:
							lowercase_			:			Node | None								=       None




					def   A  (    self					:						str       )  ->  None:
							lowercase_			:			Tuple								=       None




					def   A  (    self					:						str       )  ->  bool:
							return self.root is None




					def   A  (    self					:						Optional[Any]   ,						A					:						int       )  ->  None:
							lowercase_			:			List[Any]								=       self._put(self.root   ,						A       )




					def   A  (    self					:						Any   ,						A					:						Node | None   ,						A					:						int   ,						A					:						Node | None = None       )  ->  Node:
							if node is None:
									lowercase_			:			Optional[int]								=       Node(A   ,						A       )
							else:
									if label < node.label:
											lowercase_			:			List[Any]								=       self._put(node.left   ,						A   ,						A       )
									elif label > node.label:
											lowercase_			:			Optional[int]								=       self._put(node.right   ,						A   ,						A       )
									else:
											lowercase_			:			Optional[Any]								=       F'''Node with label {label} already exists'''
											raise Exception(A       )

							return node




					def   A  (    self					:						str   ,						A					:						int       )  ->  Node:
							return self._search(self.root   ,						A       )




					def   A  (    self					:						Union[str, Any]   ,						A					:						Node | None   ,						A					:						int       )  ->  Node:
							if node is None:
									lowercase_			:			int								=       F'''Node with label {label} does not exist'''
									raise Exception(A       )
							else:
									if label < node.label:
											lowercase_			:			List[str]								=       self._search(node.left   ,						A       )
									elif label > node.label:
											lowercase_			:			Dict								=       self._search(node.right   ,						A       )

							return node




					def   A  (    self					:						List[Any]   ,						A					:						int       )  ->  None:
							lowercase_			:			Any								=       self.search(A       )
							if node.right and node.left:
									lowercase_			:			Dict								=       self._get_lowest_node(node.right       )
									lowercase_			:			Any								=       node.left
									lowercase_			:			Tuple								=       node.right
									lowercase_			:			Union[str, Any]								=       lowest_node
									if node.right:
											lowercase_			:			Optional[Any]								=       lowest_node
									self._reassign_nodes(A   ,						A       )
							elif not node.right and node.left:
									self._reassign_nodes(A   ,						node.left       )
							elif node.right and not node.left:
									self._reassign_nodes(A   ,						node.right       )
							else:
									self._reassign_nodes(A   ,						A       )




					def   A  (    self					:						str   ,						A					:						Node   ,						A					:						Node | None       )  ->  None:
							if new_children:
									lowercase_			:			List[Any]								=       node.parent

							if node.parent:
									if node.parent.right == node:
											lowercase_			:			Optional[int]								=       new_children
									else:
											lowercase_			:			int								=       new_children
							else:
									lowercase_			:			Optional[Any]								=       new_children




					def   A  (    self					:						Dict   ,						A					:						Node       )  ->  Node:
							if node.left:
									lowercase_			:			Tuple								=       self._get_lowest_node(node.left       )
							else:
									lowercase_			:			int								=       node
									self._reassign_nodes(A   ,						node.right       )

							return lowest_node




					def   A  (    self					:						List[Any]   ,						A					:						int       )  ->  bool:
							try:
									self.search(A       )
									return True
							except Exception:
									return False




					def   A  (    self					:						Tuple       )  ->  int:
							if self.root is None:
									raise Exception('''Binary search tree is empty'''       )

							lowercase_			:			Optional[int]								=       self.root
							while node.right is not None:
									lowercase_			:			str								=       node.right

							return node.label




					def   A  (    self					:						str       )  ->  int:
							if self.root is None:
									raise Exception('''Binary search tree is empty'''       )

							lowercase_			:			Dict								=       self.root
							while node.left is not None:
									lowercase_			:			List[str]								=       node.left

							return node.label




					def   A  (    self					:						Union[str, Any]       )  ->  Iterator[Node]:
							return self._inorder_traversal(self.root       )




					def   A  (    self					:						int   ,						A					:						Node | None       )  ->  Iterator[Node]:
							if node is not None:
									yield from self._inorder_traversal(node.left       )
									yield node
									yield from self._inorder_traversal(node.right       )




					def   A  (    self					:						Optional[Any]       )  ->  Iterator[Node]:
							return self._preorder_traversal(self.root       )






					def   A  (    self					:						Optional[Any]   ,						A					:						Node | None       )  ->  Iterator[Node]:
							if node is not None:
									yield node
									yield from self._preorder_traversal(node.left       )
									yield from self._preorder_traversal(node.right       )





class  _UpperCAmelCase	(			unittest.TestCase							):




					@staticmethod
					def   A  (    )  ->  BinarySearchTree:
							lowercase_			:			Union[str, Any]								=       BinarySearchTree()
							t.put(8       )
							t.put(3       )
							t.put(6       )
							t.put(1       )
							t.put(10       )
							t.put(14       )
							t.put(13       )
							t.put(4       )
							t.put(7       )
							t.put(5       )

							return t




					def   A  (    self					:						Tuple       )  ->  None:
							lowercase_			:			Optional[int]								=       BinarySearchTree()
							assert t.is_empty()

							t.put(8       )
							assert t.root is not None
							assert t.root.parent is None
							assert t.root.label == 8

							t.put(10       )
							assert t.root.right is not None
							assert t.root.right.parent == t.root
							assert t.root.right.label == 10

							t.put(3       )
							assert t.root.left is not None
							assert t.root.left.parent == t.root
							assert t.root.left.label == 3

							t.put(6       )
							assert t.root.left.right is not None
							assert t.root.left.right.parent == t.root.left
							assert t.root.left.right.label == 6

							t.put(1       )
							assert t.root.left.left is not None
							assert t.root.left.left.parent == t.root.left
							assert t.root.left.left.label == 1

							with self.assertRaises(A       ):  # noqa: B017
									t.put(1       )




					def   A  (    self					:						Optional[Any]       )  ->  None:
							lowercase_			:			Tuple								=       self._get_binary_search_tree()

							lowercase_			:			int								=       t.search(6       )
							assert node.label == 6

							lowercase_			:			Optional[Any]								=       t.search(13       )
							assert node.label == 13

							with self.assertRaises(A       ):  # noqa: B017
									t.search(2       )




					def   A  (    self					:						Optional[Any]       )  ->  None:
							lowercase_			:			Optional[int]								=       self._get_binary_search_tree()

							t.remove(13       )
							assert t.root is not None
							assert t.root.right is not None
							assert t.root.right.right is not None
							assert t.root.right.right.right is None
							assert t.root.right.right.left is None

							t.remove(7       )
							assert t.root.left is not None
							assert t.root.left.right is not None
							assert t.root.left.right.left is not None
							assert t.root.left.right.right is None
							assert t.root.left.right.left.label == 4

							t.remove(6       )
							assert t.root.left.left is not None
							assert t.root.left.right.right is not None
							assert t.root.left.left.label == 1
							assert t.root.left.right.label == 4
							assert t.root.left.right.right.label == 5
							assert t.root.left.right.left is None
							assert t.root.left.left.parent == t.root.left
							assert t.root.left.right.parent == t.root.left

							t.remove(3       )
							assert t.root is not None
							assert t.root.left.label == 4
							assert t.root.left.right.label == 5
							assert t.root.left.left.label == 1
							assert t.root.left.parent == t.root
							assert t.root.left.left.parent == t.root.left
							assert t.root.left.right.parent == t.root.left

							t.remove(4       )
							assert t.root.left is not None
							assert t.root.left.left is not None
							assert t.root.left.label == 5
							assert t.root.left.right is None
							assert t.root.left.left.label == 1
							assert t.root.left.parent == t.root
							assert t.root.left.left.parent == t.root.left




					def   A  (    self					:						Tuple       )  ->  None:
							lowercase_			:			List[str]								=       self._get_binary_search_tree()

							t.remove(3       )
							assert t.root is not None
							assert t.root.left is not None
							assert t.root.left.left is not None
							assert t.root.left.right is not None
							assert t.root.left.right.left is not None
							assert t.root.left.right.right is not None
							assert t.root.left.label == 4
							assert t.root.left.right.label == 6
							assert t.root.left.left.label == 1
							assert t.root.left.right.right.label == 7
							assert t.root.left.right.left.label == 5
							assert t.root.left.parent == t.root
							assert t.root.left.right.parent == t.root.left
							assert t.root.left.left.parent == t.root.left
							assert t.root.left.right.left.parent == t.root.left.right




					def   A  (    self					:						str       )  ->  None:
							lowercase_			:			str								=       self._get_binary_search_tree()
							t.empty()
							assert t.root is None




					def   A  (    self					:						Any       )  ->  None:
							lowercase_			:			Dict								=       self._get_binary_search_tree()
							assert not t.is_empty()

							t.empty()
							assert t.is_empty()




					def   A  (    self					:						Any       )  ->  None:
							lowercase_			:			int								=       self._get_binary_search_tree()

							assert t.exists(6       )
							assert not t.exists(-1       )




					def   A  (    self					:						Tuple       )  ->  None:
							lowercase_			:			Tuple								=       self._get_binary_search_tree()

							assert t.get_max_label() == 14

							t.empty()
							with self.assertRaises(A       ):  # noqa: B017
									t.get_max_label()




					def   A  (    self					:						Union[str, Any]       )  ->  None:
							lowercase_			:			Tuple								=       self._get_binary_search_tree()

							assert t.get_min_label() == 1

							t.empty()
							with self.assertRaises(A       ):  # noqa: B017
									t.get_min_label()




					def   A  (    self					:						List[Any]       )  ->  None:
							lowercase_			:			List[Any]								=       self._get_binary_search_tree()

							lowercase_			:			Dict								=       [i.label for i in t.inorder_traversal()]
							assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]






					def   A  (    self					:						List[str]       )  ->  None:
							lowercase_			:			Optional[int]								=       self._get_binary_search_tree()

							lowercase_			:			Tuple								=       [i.label for i in t.preorder_traversal()]
							assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]



def 						lowercase   (    ):
		lowercase_			:			int								=       BinarySearchTree()
		t.put(8     )
		t.put(3     )
		t.put(6     )
		t.put(1     )
		t.put(1_0     )
		t.put(1_4     )
		t.put(1_3     )
		t.put(4     )
		t.put(7     )
		t.put(5     )

		print(
		    '''
            8
           / \\
          3   10
         / \\    \\
        1   6    14
           / \\   /
          4   7 13
           \\
            5
        '''     )

		print('''Label 6 exists:'''		, t.exists(6     )     )
		print('''Label 13 exists:'''		, t.exists(1_3     )     )
		print('''Label -1 exists:'''		, t.exists(-1     )     )
		print('''Label 12 exists:'''		, t.exists(1_2     )     )

		# Prints all the elements of the list in inorder traversal
		lowercase_			:			List[Any]								=       [i.label for i in t.inorder_traversal()]
		print('''Inorder traversal:'''		, __snake_case     )

		# Prints all the elements of the list in preorder traversal
		lowercase_			:			List[Any]								=       [i.label for i in t.preorder_traversal()]
		print('''Preorder traversal:'''		, __snake_case     )

		print('''Max. label:'''		, t.get_max_label()     )
		print('''Min. label:'''		, t.get_min_label()     )

		# Delete elements
		print('''\nDeleting elements 13, 10, 8, 3, 6, 14'''     )
		print(
		    '''
          4
         / \\
        1   7
             \\
              5
        '''     )
		t.remove(1_3     )
		t.remove(1_0     )
		t.remove(8     )
		t.remove(3     )
		t.remove(6     )
		t.remove(1_4     )

		# Prints all the elements of the list in inorder traversal after delete
		lowercase_			:			List[str]								=       [i.label for i in t.inorder_traversal()]
		print('''Inorder traversal after delete:'''		, __snake_case     )

		# Prints all the elements of the list in preorder traversal after delete
		lowercase_			:			Any								=       [i.label for i in t.preorder_traversal()]
		print('''Preorder traversal after delete:'''		, __snake_case     )

		print('''Max. label:'''		, t.get_max_label()     )
		print('''Min. label:'''		, t.get_min_label()     )


if __name__ == "__main__":
						binary_search_tree_example()











"""simple docstring"""



import argparse
import copy
import json
import multiprocessing
import os
import time

from create_dummy_models import COMPOSITE_MODELS, create_tiny_models
from huggingface_hub import ModelFilter, hf_api

import transformers
from transformers import AutoFeatureExtractor, AutoImageProcessor, AutoTokenizer
from transformers.image_processing_utils import BaseImageProcessor



def 						lowercase   (    ):
		lowercase_			:			Tuple								=       set()
		# Each auto modeling files contains multiple mappings. Let's get them in a dynamic way.
		for module_name in ["modeling_auto", "modeling_tf_auto", "modeling_flax_auto"]:
				lowercase_			:			str								=       getattr(transformers.models.auto		, __snake_case		, __snake_case     )
				if module is None:
						continue
				# all mappings in a single auto modeling file
				lowercase_			:			Tuple								=       [
				    x
				    for x in dir(__snake_case     )
				    if x.endswith('''_MAPPING_NAMES'''     )
				    and (x.startswith('''MODEL_'''     ) or x.startswith('''TF_MODEL_'''     ) or x.startswith('''FLAX_MODEL_'''     ))
				]
				for name in mapping_names:
						lowercase_			:			Tuple								=       getattr(__snake_case		, __snake_case     )
						if mapping is not None:
								for v in mapping.values():
										if isinstance(__snake_case		, (list, tuple)     ):
												model_names.update(__snake_case     )
										elif isinstance(__snake_case		, __snake_case     ):
												model_names.add(__snake_case     )

		return sorted(__snake_case     )



def 						lowercase   (    ):
		# All model names defined in auto mappings
		lowercase_			:			Tuple								=       set(get_all_model_names()     )

		with open('''tests/utils/tiny_model_summary.json'''     ) as fp:
				lowercase_			:			Tuple								=       json.load(__snake_case     )
		lowercase_			:			Union[str, Any]								=       set()
		for model_base_name in tiny_model_info:
				tiny_models_names.update(tiny_model_info[model_base_name]['''model_classes''']     )

		# Remove a tiny model name if one of its framework implementation hasn't yet a tiny version on the Hub.
		lowercase_			:			Union[str, Any]								=       model_names.difference(__snake_case     )
		for model_name in copy.copy(__snake_case     ):
				if not model_name.startswith('''TF'''     ) and F'''TF{model_name}''' in not_on_hub:
						tiny_models_names.remove(__snake_case     )
				elif model_name.startswith('''TF'''     ) and model_name[2:] in not_on_hub:
						tiny_models_names.remove(__snake_case     )

		return sorted(__snake_case     )



def 						lowercase   (    __snake_case    :			List[Any]     ):
		lowercase_			:			List[str]								=       COMPOSITE_MODELS.values()

		# All tiny model base names on Hub
		lowercase_			:			List[Any]								=       get_all_model_names()
		lowercase_			:			Tuple								=       hf_api.list_models(
		    filter=ModelFilter(
		        author='''hf-internal-testing'''		, )     )
		lowercase_			:			Tuple								=       set()
		for x in models:
				lowercase_			:			Tuple								=       x.modelId
				lowercase_	, lowercase_			:			Tuple								=       model.split('''/'''     )
				if not model.startswith('''tiny-random-'''     ):
						continue
				lowercase_			:			List[str]								=       model.replace('''tiny-random-'''		, ''''''     )
				if not model[0].isupper():
						continue
				if model not in model_names and model not in special_models:
						continue
				_models.add(__snake_case     )

		lowercase_			:			Tuple								=       sorted(_models     )
		# All tiny model names on Hub
		lowercase_			:			int								=       {}
		for model in models:
				lowercase_			:			str								=       F'''hf-internal-testing/tiny-random-{model}'''
				lowercase_			:			str								=       model.split('''-'''     )[0]
				try:
						lowercase_			:			Any								=       hf_api.repo_info(__snake_case     )
						lowercase_			:			str								=       {
						    '''tokenizer_classes''': set(),
						    '''processor_classes''': set(),
						    '''model_classes''': set(),
						    '''sha''': repo_info.sha,
						}
				except Exception:
						continue
				try:
						time.sleep(1     )
						lowercase_			:			Any								=       AutoTokenizer.from_pretrained(__snake_case     )
						content["tokenizer_classes"].add(tokenizer_fast.__class__.__name__     )
				except Exception:
						pass
				try:
						time.sleep(1     )
						lowercase_			:			List[str]								=       AutoTokenizer.from_pretrained(__snake_case		, use_fast=__snake_case     )
						content["tokenizer_classes"].add(tokenizer_slow.__class__.__name__     )
				except Exception:
						pass
				try:
						time.sleep(1     )
						lowercase_			:			Union[str, Any]								=       AutoImageProcessor.from_pretrained(__snake_case     )
						content["processor_classes"].add(img_p.__class__.__name__     )
				except Exception:
						pass
				try:
						time.sleep(1     )
						lowercase_			:			Optional[Any]								=       AutoFeatureExtractor.from_pretrained(__snake_case     )
						if not isinstance(__snake_case		, __snake_case     ):
								content["processor_classes"].add(feat_p.__class__.__name__     )
				except Exception:
						pass
				try:
						time.sleep(1     )
						lowercase_			:			Union[str, Any]								=       getattr(__snake_case		, __snake_case     )
						lowercase_			:			Dict								=       model_class.from_pretrained(__snake_case     )
						content["model_classes"].add(m.__class__.__name__     )
				except Exception:
						pass
				try:
						time.sleep(1     )
						lowercase_			:			List[str]								=       getattr(__snake_case		, F'''TF{model}'''     )
						lowercase_			:			List[str]								=       model_class.from_pretrained(__snake_case     )
						content["model_classes"].add(m.__class__.__name__     )
				except Exception:
						pass

				lowercase_			:			Dict								=       sorted(content['''tokenizer_classes''']     )
				lowercase_			:			Any								=       sorted(content['''processor_classes''']     )
				lowercase_			:			Union[str, Any]								=       sorted(content['''model_classes''']     )

				lowercase_			:			str								=       content
				with open(os.path.join(__snake_case		, '''hub_tiny_model_summary.json'''     )		, '''w'''     ) as fp:
						json.dump(__snake_case		, __snake_case		, ensure_ascii=__snake_case		, indent=4     )


if __name__ == "__main__":
						__A		:	Optional[int]      =		argparse.ArgumentParser()
						parser.add_argument('''--num_workers''', default=1, type=int, help='''The number of workers to run.''')
						__A		:	Optional[int]      =		parser.parse_args()

						# This has to be `spawn` to avoid hanging forever!
						multiprocessing.set_start_method('''spawn''')

						__A		:	List[str]      =		'''tiny_models'''
						__A		:	List[str]      =		True
						__A		:	int      =		None
						__A		:	Dict      =		get_tiny_model_names_from_repo()
						__A		:	Union[str, Any]      =		True
						__A		:	str      =		True
						__A		:	Optional[Any]      =		'''hf-internal-testing'''

						create_tiny_models(
						    output_path,
						    all,
						    model_types,
						    models_to_skip,
						    no_check,
						    upload,
						    organization,
						    token=os.environ.get('''TOKEN''', None),
						    num_workers=args.num_workers,
						)



