


"""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 			_UpperCAmelCase (							unittest.TestCase				):






		'''simple docstring'''

		@parameterized.expand([(None,), ('''foo.json''',)]					)
		def 				SCREAMING_SNAKE_CASE  (self				,       a_					):





			'''simple docstring'''

			__snake_case	:						List[str]						=				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					)
				__snake_case	:						Tuple						=				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				,       50					)
			self.assertEqual(loaded_config.max_length				,       20					)
			self.assertEqual(loaded_config.max_time				,       _a					)



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						Union[str, Any]						=				AutoConfig.from_pretrained('''gpt2'''					)
			__snake_case	:						Tuple						=				GenerationConfig.from_model_config(_a					)
			__snake_case	:						List[Any]						=				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 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						Optional[Any]						=				GenerationConfig()
			__snake_case	:						Dict						=				{
			    'max_new_tokens': 10_24,
			    'foo': 'bar',
			}
			__snake_case	:						Optional[int]						=				copy.deepcopy(_a					)
			__snake_case	:						List[str]						=				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				,       10_24					)

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



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						Optional[Any]						=				GenerationConfig()
			__snake_case	:						Optional[Any]						=				'bar'

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

				__snake_case	:						Optional[int]						=				GenerationConfig.from_pretrained(_a					)
			# update_kwargs was used to update the config on valid attributes
			self.assertEqual(new_config.foo				,       '''bar'''					)

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



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						List[str]						=				GenerationConfig()
			self.assertEqual(default_config.temperature				,       1.0					)
			self.assertEqual(default_config.do_sample				,       _a					)
			self.assertEqual(default_config.num_beams				,       1					)

			__snake_case	:						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					)
				__snake_case	:						Optional[Any]						=				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 			_UpperCAmelCase (							unittest.TestCase				):






		'''simple docstring'''

		@classmethod
		def 				SCREAMING_SNAKE_CASE  (cls					):





			'''simple docstring'''

			__snake_case	:						List[str]						=				TOKEN
			HfFolder.save_token(_a					)



		@classmethod
		def 				SCREAMING_SNAKE_CASE  (cls					):





			'''simple docstring'''

			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 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						List[Any]						=				GenerationConfig(
			    do_sample=_a				,       temperature=0.7				,       length_penalty=1.0				,       )
			config.push_to_hub('''test-generation-config'''				,       use_auth_token=self._token					)

			__snake_case	:						Optional[Any]						=				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					)

			__snake_case	:						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 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						Tuple						=				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					)

			__snake_case	:						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					)

			__snake_case	:						Tuple						=				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'''







from __future__ import annotations

__lowerCAmelCase         =    [-1_0, -5, 0, 5, 5.1, 1_1, 1_3, 2_1, 3, 4, -2_1, -1_0, -5, -1, 0]
__lowerCAmelCase         =    [-5, 0, 5, 5.1, 1_1, 1_3, 2_1, -1, 4, -1, -1_0, -5, -1, 0, -1]





def 					UpperCAmelCase_		(__a      :    list[float] ):






   """simple docstring"""

   _a				:	Optional[int]			=   []
   _a				:	int			=   len(__a )

   for i in range(__a ):
      _a				:	float			=   -1
      for j in range(i + 1 ,	__a ):
         if arr[i] < arr[j]:
            _a				:	Any			=   arr[j]
            break
      result.append(__a )
   return result





def 					UpperCAmelCase_		(__a      :    list[float] ):






   """simple docstring"""

   _a				:	Tuple			=   []
   for i, outer in enumerate(__a ):
      _a				:	float			=   -1
      for inner in arr[i + 1 :]:
         if outer < inner:
            _a				:	Dict			=   inner
            break
      result.append(__a )
   return result





def 					UpperCAmelCase_		(__a      :    list[float] ):






   """simple docstring"""

   _a				:	int			=   len(__a )
   _a				:	list[float]			=   []
   _a				:	list[float]			=   [-1] * arr_size

   for index in reversed(range(__a ) ):
      if stack:
         while stack[-1] <= arr[index]:
            stack.pop()
            if not stack:
               break
      if stack:
         _a				:	Dict			=   stack[-1]
      stack.append(arr[index] )
   return result


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

  testmod()
  print(next_greatest_element_slow(arr))
  print(next_greatest_element_fast(arr))
  print(next_greatest_element(arr))

  __lowerCAmelCase         =    (
      """from __main__ import arr, next_greatest_element_slow, """
      """next_greatest_element_fast, next_greatest_element"""
  )
  print(
      """next_greatest_element_slow():""",
      timeit("""next_greatest_element_slow(arr)""", setup=setup),
  )
  print(
      """next_greatest_element_fast():""",
      timeit("""next_greatest_element_fast(arr)""", setup=setup),
  )
  print(
      """     next_greatest_element():""",
      timeit("""next_greatest_element(arr)""", setup=setup),
  )



