
"""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     lowerCAmelCase__ (		)	->Optional[Any]:
			__lowercase						      =					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						      =					getattr(transformers.models.auto ,      __magic_name__ ,      __magic_name__			)
						if module is None:
									continue
						# all mappings in a single auto modeling file
						__lowercase						      =					[
						    x
						    for x in dir(__magic_name__			)
						    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						      =					getattr(__magic_name__ ,      __magic_name__			)
									if mapping is not None:
												for v in mapping.values():
															if isinstance(__magic_name__ ,      (list, tuple)			):
																		model_names.update(__magic_name__			)
															elif isinstance(__magic_name__ ,      __magic_name__			):
																		model_names.add(__magic_name__			)

			return sorted(__magic_name__			)



def     lowerCAmelCase__ (		)	->List[str]:
			# All model names defined in auto mappings
			__lowercase						      =					set(get_all_model_names()			)

			with open("tests/utils/tiny_model_summary.json"			) as fp:
						__lowercase						      =					json.load(__magic_name__			)
			__lowercase						      =					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						      =					model_names.difference(__magic_name__			)
			for model_name in copy.copy(__magic_name__			):
						if not model_name.startswith("TF"			) and F'''TF{model_name}''' in not_on_hub:
									tiny_models_names.remove(__magic_name__			)
						elif model_name.startswith("TF"			) and model_name[2:] in not_on_hub:
									tiny_models_names.remove(__magic_name__			)

			return sorted(__magic_name__			)



def     lowerCAmelCase__ (		__magic_name__			)	->Optional[Any]:
			__lowercase						      =					COMPOSITE_MODELS.values()

			# All tiny model base names on Hub
			__lowercase						      =					get_all_model_names()
			__lowercase						      =					hf_api.list_models(
			    filter=ModelFilter(
			        author="hf-internal-testing" ,      )			)
			__lowercase						      =					set()
			for x in models:
						__lowercase						      =					x.modelId
						__lowercase      ,				__lowercase						      =					model.split("/"			)
						if not model.startswith("tiny-random-"			):
									continue
						__lowercase						      =					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(__magic_name__			)

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

						__lowercase						      =					sorted(content["tokenizer_classes"]			)
						__lowercase						      =					sorted(content["processor_classes"]			)
						__lowercase						      =					sorted(content["model_classes"]			)

						__lowercase						      =					content
						with open(os.path.join(__magic_name__ ,      "hub_tiny_model_summary.json"			) ,      "w"			) as fp:
									json.dump(__magic_name__ ,      __magic_name__ ,      ensure_ascii=__magic_name__ ,      indent=4			)


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

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

					_lowercase							 =							'''tiny_models'''
					_lowercase							 =							True
					_lowercase							 =							None
					_lowercase							 =							get_tiny_model_names_from_repo()
					_lowercase							 =							True
					_lowercase							 =							True
					_lowercase							 =							'''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,
					)







"""simple docstring"""






class 				__a    :



							'''simple docstring'''







							def __init__(    self     ,						_lowerCamelCase					) ->       Optional[Any]:




										'''simple docstring'''
										__lowercase						      =					data
										__lowercase						      =					None
										__lowercase						      =					None





							def __str__(    self					) ->       str:




										'''simple docstring'''
										return f'''{self.data}'''





class 				__a    :



							'''simple docstring'''







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




										'''simple docstring'''
										__lowercase						      =					None
										__lowercase						      =					None
							def __iter__(    self					) ->       int:




										'''simple docstring'''
										__lowercase						      =					self.head
										while node:
													yield node.data
													__lowercase						      =					node.next
							def __str__(    self					) ->       Union[str, Any]:




										'''simple docstring'''
										return "->".join([str(_lowerCamelCase					) for item in self]					)
							def __len__(    self					) ->       Dict:




										'''simple docstring'''
										return sum(1 for _ in self					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       Union[str, Any]:




										'''simple docstring'''
										self.insert_at_nth(0     ,						_lowerCamelCase					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       List[str]:




										'''simple docstring'''
										self.insert_at_nth(len(self					)     ,						_lowerCamelCase					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase     ,						_lowerCamelCase					) ->       List[Any]:




										'''simple docstring'''
										__lowercase						      =					len(self					)

										if not 0 <= index <= length:
													raise IndexError("list index out of range"					)
										__lowercase						      =					Node(_lowerCamelCase					)
										if self.head is None:
													__lowercase						      =					__lowercase						      =					new_node
										elif index == 0:
													__lowercase						      =					new_node
													__lowercase						      =					self.head
													__lowercase						      =					new_node
										elif index == length:
													__lowercase						      =					new_node
													__lowercase						      =					self.tail
													__lowercase						      =					new_node
										else:
													__lowercase						      =					self.head
													for _ in range(0     ,						_lowerCamelCase					):
																__lowercase						      =					temp.next
													__lowercase						      =					new_node
													__lowercase						      =					temp.previous
													__lowercase						      =					temp
													__lowercase						      =					new_node
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Any:




										'''simple docstring'''
										return self.delete_at_nth(0					)
							def      SCREAMING_SNAKE_CASE	(    self					) ->       str:




										'''simple docstring'''
										return self.delete_at_nth(len(self					) - 1					)
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       str:




										'''simple docstring'''
										__lowercase						      =					len(self					)

										if not 0 <= index <= length - 1:
													raise IndexError("list index out of range"					)
										__lowercase						      =					self.head  # default first node
										if length == 1:
													__lowercase						      =					__lowercase						      =					None
										elif index == 0:
													__lowercase						      =					self.head.next
													__lowercase						      =					None
										elif index == length - 1:
													__lowercase						      =					self.tail
													__lowercase						      =					self.tail.previous
													__lowercase						      =					None
										else:
													__lowercase						      =					self.head
													for _ in range(0     ,						_lowerCamelCase					):
																__lowercase						      =					temp.next
													__lowercase						      =					temp
													__lowercase						      =					temp.previous
													__lowercase						      =					temp.next
										return delete_node.data
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       str:




										'''simple docstring'''
										__lowercase						      =					self.head

										while current.data != data:  # Find the position to delete
													if current.next:
																__lowercase						      =					current.next
													else:  # We have reached the end an no value matches
																raise ValueError("No data matching given value"					)

										if current == self.head:
													self.delete_head()

										elif current == self.tail:
													self.delete_tail()

										else:  # Before: 1 <--> 2(current) <--> 3
													__lowercase						      =					current.next  # 1 --> 3
													__lowercase						      =					current.previous  # 1 <--> 3
										return data





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




										'''simple docstring'''
										return len(self					) == 0





def     lowerCAmelCase__ (		)	->None:
			__lowercase						      =					DoublyLinkedList()
			assert linked_list.is_empty() is True
			assert str(__magic_name__			) == ""

			try:
						linked_list.delete_head()
						raise AssertionError  # This should not happen.
			except IndexError:
						assert True  # This should happen.

			try:
						linked_list.delete_tail()
						raise AssertionError  # This should not happen.
			except IndexError:
						assert True  # This should happen.

			for i in range(1_0			):
						assert len(__magic_name__			) == i
						linked_list.insert_at_nth(__magic_name__ ,      i + 1			)
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(1 ,      1_1			)			)

			linked_list.insert_at_head(0			)
			linked_list.insert_at_tail(1_1			)
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(0 ,      1_2			)			)

			assert linked_list.delete_head() == 0
			assert linked_list.delete_at_nth(9			) == 1_0
			assert linked_list.delete_tail() == 1_1
			assert len(__magic_name__			) == 9
			assert str(__magic_name__			) == "->".join(str(__magic_name__			) for i in range(1 ,      1_0			)			)


if __name__ == "__main__":
					from doctest import testmod

					testmod()





