



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 							__a							(  unittest.TestCase						):





		'''simple docstring'''



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

						# Checks parameters that were specified
						self.assertEqual(loaded_config.do_sample ,    UpperCamelCase__       )
						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 ,    UpperCamelCase__       )


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	int													=   AutoConfig.from_pretrained('gpt2'       )
						SCREAMING_SNAKE_CASE_   :	Any													=   GenerationConfig.from_model_config(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   GenerationConfig()

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

						# 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   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   GenerationConfig()
						SCREAMING_SNAKE_CASE_   :	Any													=   {
						    'max_new_tokens': 1024,
						    'foo': 'bar',
						}
						SCREAMING_SNAKE_CASE_   :	Any													=   copy.deepcopy(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   generation_config.update(**UpperCamelCase__       )

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

						# update_kwargs was used to update the config on valid attributes
						self.assertEqual(generation_config.max_new_tokens ,    1024       )

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


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	Tuple													=   GenerationConfig()
						SCREAMING_SNAKE_CASE_   :	int													=   'bar'

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

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

						SCREAMING_SNAKE_CASE_   :	Any													=   GenerationConfig.from_model_config(UpperCamelCase__       )
						assert not hasattr(UpperCamelCase__ ,    'foo'       )  # no new kwargs should be initialized if from config






		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	int													=   GenerationConfig()
						self.assertEqual(default_config.temperature ,    1.0       )
						self.assertEqual(default_config.do_sample ,    UpperCamelCase__       )
						self.assertEqual(default_config.num_beams ,    1       )

						SCREAMING_SNAKE_CASE_   :	List[str]													=   GenerationConfig(
						    do_sample=UpperCamelCase__ ,    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 ,    UpperCamelCase__       )
						self.assertEqual(config.num_beams ,    1       )

						with tempfile.TemporaryDirectory() as tmp_dir:
										config.save_pretrained(UpperCamelCase__       )
										SCREAMING_SNAKE_CASE_   :	List[str]													=   GenerationConfig.from_pretrained(UpperCamelCase__ ,    temperature=1.0       )

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






@is_staging_test
class 							__a							(  unittest.TestCase						):





		'''simple docstring'''



		@classmethod
		def   __snake_case			(						cls       ):
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   TOKEN
						HfFolder.save_token(UpperCamelCase__       )


		@classmethod
		def   __snake_case			(						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   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	str													=   GenerationConfig(
						    do_sample=UpperCamelCase__ ,    temperature=0.7 ,    length_penalty=1.0 ,    )
						config.push_to_hub('test-generation-config' ,    use_auth_token=self._token       )

						SCREAMING_SNAKE_CASE_   :	Tuple													=   GenerationConfig.from_pretrained(F'''{USER}/test-generation-config'''       )
						for k, v in config.to_dict().items():
										if k != "transformers_version":
														self.assertEqual(UpperCamelCase__ ,    getattr(UpperCamelCase__ ,    UpperCamelCase__       )       )

										 # 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(
										    UpperCamelCase__ ,    repo_id='test-generation-config' ,    push_to_hub=UpperCamelCase__ ,    use_auth_token=self._token       )

						SCREAMING_SNAKE_CASE_   :	int													=   GenerationConfig.from_pretrained(F'''{USER}/test-generation-config'''       )
						for k, v in config.to_dict().items():
										if k != "transformers_version":
														self.assertEqual(UpperCamelCase__ ,    getattr(UpperCamelCase__ ,    UpperCamelCase__       )       )






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

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

										 # 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(
										    UpperCamelCase__ ,    repo_id='valid_org/test-generation-config-org' ,    push_to_hub=UpperCamelCase__ ,    use_auth_token=self._token       )

						SCREAMING_SNAKE_CASE_   :	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(UpperCamelCase__ ,    getattr(UpperCamelCase__ ,    UpperCamelCase__       )       )







import colorsys

from PIL import Image  # type: ignore



def 					_lowerCamelCase(			lowerCAmelCase__				:		float    ,    lowerCAmelCase__				:		float    ,    lowerCAmelCase__				:		int      ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	Any													=   x
				SCREAMING_SNAKE_CASE_   :	Tuple													=   y
				for step in range(lowerCAmelCase__      ):  # noqa: B007
								SCREAMING_SNAKE_CASE_   :	str													=   a * a - b * b + x
								SCREAMING_SNAKE_CASE_   :	Any													=   2 * a * b + y
								SCREAMING_SNAKE_CASE_   :	int													=   a_new

								# divergence happens for all complex number with an absolute value
								# greater than 4
								if a * a + b * b > 4:
												break
				return step / (max_step - 1)



def 					_lowerCamelCase(			lowerCAmelCase__				:		float      ):





				'''simple docstring'''







				if distance == 1:
								return (0, 0, 0)
				else:
								return (255, 255, 255)



def 					_lowerCamelCase(			lowerCAmelCase__				:		float      ):





				'''simple docstring'''







				if distance == 1:
								return (0, 0, 0)
				else:
								return tuple(round(i * 255      ) for i in colorsys.hsv_to_rgb(lowerCAmelCase__    ,    1    ,    1      )      )



def 					_lowerCamelCase(			lowerCAmelCase__				:		int = 800    ,    lowerCAmelCase__				:		int = 600    ,    lowerCAmelCase__				:		float = -0.6    ,    lowerCAmelCase__				:		float = 0    ,    lowerCAmelCase__				:		float = 3.2    ,    lowerCAmelCase__				:		int = 50    ,    lowerCAmelCase__				:		bool = True    ,    ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   Image.new('RGB'    ,    (image_width, image_height)      )
				SCREAMING_SNAKE_CASE_   :	List[str]													=   img.load()

				# loop through the image-coordinates
				for image_x in range(lowerCAmelCase__      ):
								for image_y in range(lowerCAmelCase__      ):
												# determine the figure-coordinates based on the image-coordinates
												SCREAMING_SNAKE_CASE_   :	List[str]													=   figure_width / image_width * image_height
												SCREAMING_SNAKE_CASE_   :	List[Any]													=   figure_center_x + (image_x / image_width - 0.5) * figure_width
												SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   figure_center_y + (image_y / image_height - 0.5) * figure_height

												SCREAMING_SNAKE_CASE_   :	str													=   get_distance(lowerCAmelCase__    ,    lowerCAmelCase__    ,    lowerCAmelCase__      )

												# color the corresponding pixel based on the selected coloring-function
												if use_distance_color_coding:
																SCREAMING_SNAKE_CASE_   :	int													=   get_color_coded_rgb(lowerCAmelCase__      )
												else:
																SCREAMING_SNAKE_CASE_   :	Dict													=   get_black_and_white_rgb(lowerCAmelCase__      )

				return img


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				# colored version, full figure
				A        =			get_image()

				# uncomment for colored version, different section, zoomed in
				# img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
				# figure_width = 0.8)

				# uncomment for black and white version, full figure
				# img = get_image(use_distance_color_coding = False)

				# uncomment to save the image
				# img.save("mandelbrot.png")

				img.show()