




"""simple docstring"""







import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


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

from test_module.custom_configuration import CustomConfig  # noqa E402


__A   :  Dict					=      {
    'return_dict': False,
    'output_hidden_states': True,
    'output_attentions': True,
    'torchscript': True,
    'torch_dtype': 'float16',
    'use_bfloat16': True,
    'tf_legacy_loss': True,
    'pruned_heads': {'a': 1},
    'tie_word_embeddings': False,
    'is_decoder': True,
    'cross_attention_hidden_size': 1_2_8,
    'add_cross_attention': True,
    'tie_encoder_decoder': True,
    'max_length': 5_0,
    'min_length': 3,
    'do_sample': True,
    'early_stopping': True,
    'num_beams': 3,
    'num_beam_groups': 3,
    'diversity_penalty': 0.5,
    'temperature': 2.0,
    'top_k': 1_0,
    'top_p': 0.7,
    'typical_p': 0.2,
    'repetition_penalty': 0.8,
    'length_penalty': 0.8,
    'no_repeat_ngram_size': 5,
    'encoder_no_repeat_ngram_size': 5,
    'bad_words_ids': [1, 2, 3],
    'num_return_sequences': 3,
    'chunk_size_feed_forward': 5,
    'output_scores': True,
    'return_dict_in_generate': True,
    'forced_bos_token_id': 2,
    'forced_eos_token_id': 3,
    'remove_invalid_values': True,
    'architectures': ['BertModel'],
    'finetuning_task': 'translation',
    'id2label': {0: 'label'},
    'label2id': {'label': '0'},
    'tokenizer_class': 'BertTokenizerFast',
    'prefix': 'prefix',
    'bos_token_id': 6,
    'pad_token_id': 7,
    'eos_token_id': 8,
    'sep_token_id': 9,
    'decoder_start_token_id': 1_0,
    'exponential_decay_length_penalty': (5, 1.01),
    'suppress_tokens': [0, 1],
    'begin_suppress_tokens': 2,
    'task_specific_params': {'translation': 'some_params'},
    'problem_type': 'regression',
}




@is_staging_test
class       lowerCAmelCase__       (			unittest.TestCase    ):


				"""simple docstring"""





				@classmethod
				def       snake_case    (     cls					:	Tuple						):
						__lowercase				:		Tuple												=				TOKEN
						HfFolder.save_token(lowercase__						)



				@classmethod
				def       snake_case    (     cls					:	Any						):
						try:
								delete_repo(token=cls._token    ,   repo_id="test-config"						)
						except HTTPError:
								pass

						try:
								delete_repo(token=cls._token    ,   repo_id="valid_org/test-config-org"						)
						except HTTPError:
								pass

						try:
								delete_repo(token=cls._token    ,   repo_id="test-dynamic-config"						)
						except HTTPError:
								pass



				def       snake_case    (     self					:	Dict						):
						__lowercase				:		List[Any]												=				BertConfig(
						    vocab_size=9_9    ,   hidden_size=3_2    ,   num_hidden_layers=5    ,   num_attention_heads=4    ,   intermediate_size=3_7						)
						config.push_to_hub("test-config"    ,   use_auth_token=self._token						)

						__lowercase				:		Optional[int]												=				BertConfig.from_pretrained(f'{USER}/test-config'						)
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase__    ,   getattr(lowercase__    ,   lowercase__						)						)

        # Reset repo
						delete_repo(token=self._token    ,   repo_id="test-config"						)

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
								config.save_pretrained(lowercase__    ,   repo_id="test-config"    ,   push_to_hub=lowercase__    ,   use_auth_token=self._token						)

						__lowercase				:		Tuple												=				BertConfig.from_pretrained(f'{USER}/test-config'						)
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase__    ,   getattr(lowercase__    ,   lowercase__						)						)



				def       snake_case    (     self					:	Any						):
						__lowercase				:		Optional[int]												=				BertConfig(
						    vocab_size=9_9    ,   hidden_size=3_2    ,   num_hidden_layers=5    ,   num_attention_heads=4    ,   intermediate_size=3_7						)
						config.push_to_hub("valid_org/test-config-org"    ,   use_auth_token=self._token						)

						__lowercase				:		Any												=				BertConfig.from_pretrained("valid_org/test-config-org"						)
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase__    ,   getattr(lowercase__    ,   lowercase__						)						)

        # Reset repo
						delete_repo(token=self._token    ,   repo_id="valid_org/test-config-org"						)

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
								config.save_pretrained(
								    lowercase__    ,   repo_id="valid_org/test-config-org"    ,   push_to_hub=lowercase__    ,   use_auth_token=self._token						)

						__lowercase				:		int												=				BertConfig.from_pretrained("valid_org/test-config-org"						)
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase__    ,   getattr(lowercase__    ,   lowercase__						)						)



				def       snake_case    (     self					:	Any						):
						CustomConfig.register_for_auto_class()
						__lowercase				:		Union[str, Any]												=				CustomConfig(attribute=4_2						)

						config.push_to_hub("test-dynamic-config"    ,   use_auth_token=self._token						)

						# This has added the proper auto_map field to the config
						self.assertDictEqual(config.auto_map    ,   {"AutoConfig": "custom_configuration.CustomConfig"}						)

						__lowercase				:		List[str]												=				AutoConfig.from_pretrained(f'{USER}/test-dynamic-config'    ,   trust_remote_code=lowercase__						)
						# Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module
						self.assertEqual(new_config.__class__.__name__    ,   "CustomConfig"						)
						self.assertEqual(new_config.attribute    ,   4_2						)





class       lowerCAmelCase__       (			unittest.TestCase    ):


				"""simple docstring"""





				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		str												=				GPTaConfig()

						# attempt to modify each of int/float/bool/str config records and verify they were updated
						__lowercase				:		Union[str, Any]												=				c.n_embd + 1  # int
						__lowercase				:		List[Any]												=				c.resid_pdrop + 1.0  # float
						__lowercase				:		int												=				not c.scale_attn_weights  # bool
						__lowercase				:		Tuple												=				c.summary_type + "foo"  # str
						c.update_from_string(
						    f'n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}'						)
						self.assertEqual(lowercase__    ,   c.n_embd    ,   "mismatch for key: n_embd"						)
						self.assertEqual(lowercase__    ,   c.resid_pdrop    ,   "mismatch for key: resid_pdrop"						)
						self.assertEqual(lowercase__    ,   c.scale_attn_weights    ,   "mismatch for key: scale_attn_weights"						)
						self.assertEqual(lowercase__    ,   c.summary_type    ,   "mismatch for key: summary_type"						)



				def       snake_case    (     self					:	Any						):
						__lowercase				:		Optional[int]												=				PretrainedConfig()
						__lowercase				:		Tuple												=				[key for key in base_config.__dict__ if key not in config_common_kwargs]
						# If this part of the test fails, you have arguments to addin config_common_kwargs above.
						self.assertListEqual(
						    lowercase__    ,   ["is_encoder_decoder", "_name_or_path", "_commit_hash", "transformers_version"]						)
						__lowercase				:		Any												=				[key for key, value in config_common_kwargs.items() if value == getattr(lowercase__    ,   lowercase__						)]
						if len(lowercase__						) > 0:
								raise ValueError(
								    "The following keys are set with the default values in"
								    " `test_configuration_common.config_common_kwargs` pick another value for them:"
								    f' {", ".join(lowercase__						)}.'						)



				def       snake_case    (     self					:	Optional[int]						):
						with self.assertRaises(lowercase__						):
								# config is in subfolder, the following should not work without specifying the subfolder
								__lowercase				:		Tuple												=				BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder"						)

						__lowercase				:		int												=				BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder"    ,   subfolder="bert"						)

						self.assertIsNotNone(lowercase__						)



				def       snake_case    (     self					:	List[str]						):
						# A mock response for an HTTP head request to emulate server down
						__lowercase				:		Optional[Any]												=				mock.Mock()
						__lowercase				:		int												=				5_0_0
						__lowercase				:		Dict												=				{}
						__lowercase				:		Optional[int]												=				HTTPError
						__lowercase				:		str												=				{}

						# Download this model to make sure it's in the cache.
						__lowercase				:		Union[str, Any]												=				BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert"						)

						# Under the mock environment we get a 500 error when trying to reach the model.
						with mock.patch("requests.Session.request"    ,   return_value=lowercase__						) as mock_head:
								__lowercase				:		Union[str, Any]												=				BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert"						)
								# This check we did call the fake head request
								mock_head.assert_called()



				def       snake_case    (     self					:	Any						):
						# This test is for deprecated behavior and can be removed in v5
						__lowercase				:		List[str]												=				BertConfig.from_pretrained(
						    "https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json"						)



				def       snake_case    (     self					:	List[Any]						):
						__lowercase				:		Union[str, Any]												=				AutoConfig.from_pretrained("bert-base-cased"						)
						__lowercase				:		Optional[int]												=				["config.4.0.0.json"]

						with tempfile.TemporaryDirectory() as tmp_dir:
								configuration.save_pretrained(lowercase__						)
								__lowercase				:		Optional[int]												=				2
								json.dump(configuration.to_dict()    ,   open(os.path.join(lowercase__    ,   "config.4.0.0.json"						)    ,   "w"						)						)

								# This should pick the new configuration file as the version of Transformers is > 4.0.0
								__lowercase				:		Optional[int]												=				AutoConfig.from_pretrained(lowercase__						)
								self.assertEqual(new_configuration.hidden_size    ,   2						)

								# Will need to be adjusted if we reach v42 and this test is still here.
								# Should pick the old configuration file as the version of Transformers is < 4.42.0
								__lowercase				:		Any												=				["config.42.0.0.json"]
								__lowercase				:		List[str]												=				7_6_8
								configuration.save_pretrained(lowercase__						)
								shutil.move(os.path.join(lowercase__    ,   "config.4.0.0.json"						)    ,   os.path.join(lowercase__    ,   "config.42.0.0.json"						)						)
								__lowercase				:		List[Any]												=				AutoConfig.from_pretrained(lowercase__						)
								self.assertEqual(new_configuration.hidden_size    ,   7_6_8						)



				def       snake_case    (     self					:	Optional[Any]						):
						# This repo has two configuration files, one for v4.0.0 and above with a different hidden size.
						__lowercase				:		int												=				"hf-internal-testing/test-two-configs"

						import transformers as new_transformers

						__lowercase				:		List[str]												=				"v4.0.0"
						__lowercase				:		Optional[int]												=				new_transformers.models.auto.AutoConfig.from_pretrained(
						    lowercase__    ,   return_unused_kwargs=lowercase__						)
						self.assertEqual(new_configuration.hidden_size    ,   2						)
						# This checks `_configuration_file` ia not kept in the kwargs by mistake.
						self.assertDictEqual(lowercase__    ,   {}						)

						# Testing an older version by monkey-patching the version in the module it's used.
						import transformers as old_transformers

						__lowercase				:		List[str]												=				"v3.0.0"
						__lowercase				:		List[str]												=				old_transformers.models.auto.AutoConfig.from_pretrained(lowercase__						)
						self.assertEqual(old_configuration.hidden_size    ,   7_6_8						)










"""simple docstring"""







class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	int    ,   lowercase__					:	List[Any]						):
						__lowercase				:		Tuple												=				val
						__lowercase				:		Optional[Any]												=				None
						__lowercase				:		Tuple												=				None



				def       snake_case    (     self					:	Optional[Any]    ,   lowercase__					:	List[str]						):
						if self.val:
								if val < self.val:
										if self.left is None:
												__lowercase				:		Tuple												=				Node(lowercase__						)
										else:
												self.left.insert(lowercase__						)
								elif val > self.val:
										if self.right is None:
												__lowercase				:		Any												=				Node(lowercase__						)
										else:
												self.right.insert(lowercase__						)
						else:
								__lowercase				:		Optional[Any]												=				val





def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Any:






		"""simple docstring"""


		if root:
				inorder(root.left,  _lowerCamelCase				)
				res.append(root.val				)
				inorder(root.right,  _lowerCamelCase				)

def 						snake_case__       (					_lowerCamelCase				)			->Optional[Any]:






		"""simple docstring"""


		if len(_lowerCamelCase				) == 0:
				return arr
		__lowercase				:		int												=				Node(arr[0]				)
		for i in range(1,  len(_lowerCamelCase				)				):
				root.insert(arr[i]				)
		# Traverse BST in order.
		__lowercase				:		Tuple												=				[]
		inorder(_lowerCamelCase,  _lowerCamelCase				)
		return res


if __name__ == "__main__":
						print(tree_sort([1_0, 1, 3, 2, 9, 1_4, 1_3]))
