
'''simple docstring'''


import copy
import tempfile
import unittest

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

from transformers import AutoConfig, GenerationConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test

class 	__lowercase				(  unittest.TestCase    ):

			@parameterized.expand([(None,), ('''foo.json''',)]      )
			def        UpperCAmelCase__ (self			,   A      ):
								lowerCamelCase_					:      Any     =		GenerationConfig(
								    do_sample=A			,   temperature=0.7			,   length_penalty=1.0			,   bad_words_ids=[[1, 2, 3], [4, 5]]			,   )
								with tempfile.TemporaryDirectory() as tmp_dir:
													config.save_pretrained(A			,   config_name=A      )
													lowerCamelCase_					:      Optional[Any]     =		GenerationConfig.from_pretrained(A			,   config_name=A      )

								# Checks parameters that were specified
								self.assertEqual(loaded_config.do_sample			,   A      )
								self.assertEqual(loaded_config.temperature			,   0.7      )
								self.assertEqual(loaded_config.length_penalty			,   1.0      )
								self.assertEqual(loaded_config.bad_words_ids			,   [[1, 2, 3], [4, 5]]      )

								# Checks parameters that were not specified (defaults)
								self.assertEqual(loaded_config.top_k			,   5_0      )
								self.assertEqual(loaded_config.max_length			,   2_0      )
								self.assertEqual(loaded_config.max_time			,   A      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      int     =		AutoConfig.from_pretrained('''gpt2'''      )
								lowerCamelCase_					:      Union[str, Any]     =		GenerationConfig.from_model_config(A      )
								lowerCamelCase_					:      str     =		GenerationConfig()

								# The generation config has loaded a few non-default parameters from the model config
								self.assertNotEqual(A			,   A      )

								# One of those parameters is eos_token_id -- check if it matches
								self.assertNotEqual(generation_config_from_model.eos_token_id			,   default_generation_config.eos_token_id      )
								self.assertEqual(generation_config_from_model.eos_token_id			,   model_config.eos_token_id      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Tuple     =		GenerationConfig()
								lowerCamelCase_					:      List[str]     =		{
								    '''max_new_tokens''': 1_0_2_4,
								    '''foo''': '''bar''',
								}
								lowerCamelCase_					:      List[str]     =		copy.deepcopy(A      )
								lowerCamelCase_					:      Union[str, Any]     =		generation_config.update(**A      )

								# update_kwargs was not modified (no side effects)
								self.assertEqual(A			,   A      )

								# update_kwargs was used to update the config on valid attributes
								self.assertEqual(generation_config.max_new_tokens			,   1_0_2_4      )

								# `.update()` returns a dictionary of unused kwargs
								self.assertEqual(A			,   {'''foo''': '''bar'''}      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Any     =		GenerationConfig()
								lowerCamelCase_					:      Optional[Any]     =		'''bar'''

								with tempfile.TemporaryDirectory('''test-generation-config'''      ) as tmp_dir:
													generation_config.save_pretrained(A      )

													lowerCamelCase_					:      Tuple     =		GenerationConfig.from_pretrained(A      )
								# update_kwargs was used to update the config on valid attributes
								self.assertEqual(new_config.foo			,   '''bar'''      )

								lowerCamelCase_					:      List[str]     =		GenerationConfig.from_model_config(A      )
								assert not hasattr(A			,   '''foo'''      )  # no new kwargs should be initialized if from config






			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      int     =		GenerationConfig()
								self.assertEqual(default_config.temperature			,   1.0      )
								self.assertEqual(default_config.do_sample			,   A      )
								self.assertEqual(default_config.num_beams			,   1      )

								lowerCamelCase_					:      List[Any]     =		GenerationConfig(
								    do_sample=A			,   temperature=0.7			,   length_penalty=1.0			,   bad_words_ids=[[1, 2, 3], [4, 5]]			,   )
								self.assertEqual(config.temperature			,   0.7      )
								self.assertEqual(config.do_sample			,   A      )
								self.assertEqual(config.num_beams			,   1      )

								with tempfile.TemporaryDirectory() as tmp_dir:
													config.save_pretrained(A      )
													lowerCamelCase_					:      int     =		GenerationConfig.from_pretrained(A			,   temperature=1.0      )

								self.assertEqual(loaded_config.temperature			,   1.0      )
								self.assertEqual(loaded_config.do_sample			,   A      )
								self.assertEqual(loaded_config.num_beams			,   1      )  # default value

@is_staging_test
class 	__lowercase				(  unittest.TestCase    ):

			@classmethod
			def        UpperCAmelCase__ (cls      ):
								lowerCamelCase_					:      int     =		TOKEN
								HfFolder.save_token(A      )

			@classmethod
			def        UpperCAmelCase__ (cls      ):
								try:
													delete_repo(token=cls._token			,   repo_id='''test-generation-config'''      )
								except HTTPError:
													pass

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

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      int     =		GenerationConfig(
								    do_sample=A			,   temperature=0.7			,   length_penalty=1.0			,   )
								config.push_to_hub('''test-generation-config'''			,   use_auth_token=self._token      )

								lowerCamelCase_					:      List[str]     =		GenerationConfig.from_pretrained(F"""{USER}/test-generation-config"""      )
								for k, v in config.to_dict().items():
													if k != "transformers_version":
																		self.assertEqual(A			,   getattr(A			,   A      )      )

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

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

								lowerCamelCase_					:      Optional[int]     =		GenerationConfig.from_pretrained(F"""{USER}/test-generation-config"""      )
								for k, v in config.to_dict().items():
													if k != "transformers_version":
																		self.assertEqual(A			,   getattr(A			,   A      )      )






			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Union[str, Any]     =		GenerationConfig(
								    do_sample=A			,   temperature=0.7			,   length_penalty=1.0			,   )
								config.push_to_hub('''valid_org/test-generation-config-org'''			,   use_auth_token=self._token      )

								lowerCamelCase_					:      Union[str, Any]     =		GenerationConfig.from_pretrained('''valid_org/test-generation-config-org'''      )
								for k, v in config.to_dict().items():
													if k != "transformers_version":
																		self.assertEqual(A			,   getattr(A			,   A      )      )

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

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

								lowerCamelCase_					:      Optional[int]     =		GenerationConfig.from_pretrained('''valid_org/test-generation-config-org'''      )
								for k, v in config.to_dict().items():
													if k != "transformers_version":
																		self.assertEqual(A			,   getattr(A			,   A      )      )




'''simple docstring'''


def lowercase_	(   _lowercase = 1_000				)     ->							int:
					'''simple docstring'''

					lowerCamelCase_					:      Any     =		-1
					lowerCamelCase_					:      Optional[Any]     =		0
					for a in range(1			,       n // 3				):
										# Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
										lowerCamelCase_					:      Any     =		(n * n - 2 * a * n) // (2 * n - 2 * a)
										lowerCamelCase_					:      int     =		n - a - b
										if c * c == (a * a + b * b):
															lowerCamelCase_					:      int     =		a * b * c
															if candidate >= product:
																				lowerCamelCase_					:      Any     =		candidate
					return product


if __name__ == "__main__":
					print(f'{solution() = }')


