


'''simple docstring'''
import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402


lowerCAmelCase   : Tuple             =				get_tests_dir("""fixtures/dummy-config.json""")




class        _UpperCamelCase	(    unittest.TestCase):


				'''simple docstring'''


				def 	a__		(     self							)    ->  Optional[Any]:
					lowercase						:		str   					=		0

				def 	a__		(     self							)    ->  str:
					self.assertIsNotNone(transformers.models.auto.__spec__							)
					self.assertIsNotNone(importlib.util.find_spec("transformers.models.auto"							)							)

				def 	a__		(     self							)    ->  Optional[int]:
					lowercase						:		List[str]   					=		AutoConfig.from_pretrained("bert-base-uncased"							)
					self.assertIsInstance(a_							,      a_							)

				def 	a__		(     self							)    ->  Union[str, Any]:
					lowercase						:		Tuple   					=		AutoConfig.from_pretrained(a_							)
					self.assertIsInstance(a_							,      a_							)

				def 	a__		(     self							)    ->  int:
					lowercase						:		str   					=		AutoConfig.from_pretrained(a_							)
					self.assertIsInstance(a_							,      a_							)

				def 	a__		(     self							)    ->  Optional[int]:
					lowercase						:		Optional[int]   					=		AutoConfig.for_model("roberta"							)
					self.assertIsInstance(a_							,      a_							)

				def 	a__		(     self							)    ->  str:
					with tempfile.TemporaryDirectory() as tmp_dir:
						# This model name contains bert and roberta, but roberta ends up being picked.
						lowercase						:		List[Any]   					=		os.path.join(a_							,      "fake-roberta"							)
						os.makedirs(a_							,      exist_ok=a_							)
						with open(os.path.join(a_							,      "config.json"							)							,      "w"							) as f:
							f.write(json.dumps({}							)							)
						lowercase						:		int   					=		AutoConfig.from_pretrained(a_							)
						self.assertEqual(type(a_							)							,      a_							)

				def 	a__		(     self							)    ->  Optional[int]:
					try:
						AutoConfig.register("custom"							,      a_							)
						# Wrong model type will raise an error
						with self.assertRaises(a_							):
							AutoConfig.register("model"							,      a_							)
						# Trying to register something existing in the Transformers library will raise an error
						with self.assertRaises(a_							):
							AutoConfig.register("bert"							,      a_							)

						# Now that the config is registered, it can be used as any other config with the auto-API
						lowercase						:		List[str]   					=		CustomConfig()
						with tempfile.TemporaryDirectory() as tmp_dir:
							config.save_pretrained(a_							)
							lowercase						:		Optional[Any]   					=		AutoConfig.from_pretrained(a_							)
							self.assertIsInstance(a_							,      a_							)

					finally:
						if "custom" in CONFIG_MAPPING._extra_content:
							del CONFIG_MAPPING._extra_content["custom"]

				def 	a__		(     self							)    ->  int:
					with self.assertRaisesRegex(
					    a_							,      "bert-base is not a local folder and is not a valid model identifier"							):
						lowercase						:		str   					=		AutoConfig.from_pretrained("bert-base"							)

				def 	a__		(     self							)    ->  List[Any]:
					with self.assertRaisesRegex(
					    a_							,      R"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"							):
						lowercase						:		Tuple   					=		AutoConfig.from_pretrained(a_							,      revision="aaaaaa"							)

				def 	a__		(     self							)    ->  int:
					with self.assertRaisesRegex(
					    a_							,      "hf-internal-testing/no-config-test-repo does not appear to have a file named config.json."							,      ):
						lowercase						:		Dict   					=		AutoConfig.from_pretrained("hf-internal-testing/no-config-test-repo"							)

				def 	a__		(     self							)    ->  Optional[Any]:
					# If remote code is not set, we will time out when asking whether to load the model.
					with self.assertRaises(a_							):
						lowercase						:		Tuple   					=		AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"							)
					# If remote code is disabled, we can't load this config.
					with self.assertRaises(a_							):
						lowercase						:		List[str]   					=		AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"							,      trust_remote_code=a_							)

					lowercase						:		int   					=		AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"							,      trust_remote_code=a_							)
					self.assertEqual(config.__class__.__name__							,      "NewModelConfig"							)

					# Test config can be reloaded.
					with tempfile.TemporaryDirectory() as tmp_dir:
						config.save_pretrained(a_							)
						lowercase						:		List[Any]   					=		AutoConfig.from_pretrained(a_							,      trust_remote_code=a_							)
					self.assertEqual(reloaded_config.__class__.__name__							,      "NewModelConfig"							)


				def 	a__		(     self							)    ->  Tuple:




					class        _UpperCamelCase	(    SCREAMING_SNAKE_CASE):


									'''simple docstring'''


									_snake_case						       =				'''new-model'''

					try:
						AutoConfig.register("new-model"							,      a_							)
						# If remote code is not set, the default is to use local
						lowercase						:		Dict   					=		AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"							)
						self.assertEqual(config.__class__.__name__							,      "NewModelConfigLocal"							)

						# If remote code is disabled, we load the local one.
						lowercase						:		Any   					=		AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"							,      trust_remote_code=a_							)
						self.assertEqual(config.__class__.__name__							,      "NewModelConfigLocal"							)

						# If remote is enabled, we load from the Hub
						lowercase						:		Dict   					=		AutoConfig.from_pretrained("hf-internal-testing/test_dynamic_model"							,      trust_remote_code=a_							)
						self.assertEqual(config.__class__.__name__							,      "NewModelConfig"							)

					finally:
						if "new-model" in CONFIG_MAPPING._extra_content:
							del CONFIG_MAPPING._extra_content["new-model"]






'''simple docstring'''
def 	_A  (       A							)  ->				list:

	if len(A							) <= 1:
		return [tuple(A							)]

	lowercase						:		Dict   					=		[]

	def generate(A							,A							):
		lowercase						:		List[Any]   					=		[0] * n
		res.append(tuple(A							)							)

		lowercase						:		Tuple   					=		0
		while i < n:
			if c[i] < i:
				if i % 2 == 0:
					lowercase					,		lowercase						:		List[Any]   					=		arr[i], arr[0]
				else:
					lowercase					,		lowercase						:		Optional[Any]   					=		arr[i], arr[c[i]]
				res.append(tuple(A							)							)
				c[i] += 1
				lowercase						:		Optional[Any]   					=		0
			else:
				lowercase						:		Any   					=		0
				i += 1

	generate(len(A							)							,A							)
	return res


if __name__ == "__main__":
					lowerCAmelCase   : Any             =				input("""Enter numbers separated by a comma:\n""").strip()
					lowerCAmelCase   : List[str]             =				[int(item) for item in user_input.split(""",""")]
					print(heaps(arr))


