
"""simple docstring"""


import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


A_    							=					False




class  __lowerCamelCase  ( unittest.TestCase			):
				pass




@slow
@require_torch_gpu
class  __lowerCamelCase  ( unittest.TestCase			):




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  VersatileDiffusionImageVariationPipeline.from_pretrained('''shi-labs/versatile-diffusion'''   )
							pipe.to(UpperCAmelCase   )
							pipe.set_progress_bar_config(disable=UpperCAmelCase   )

							lowerCamelCase_					=  load_image(
							    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''   )
							lowerCamelCase_					=  torch.manual_seed(0   )
							lowerCamelCase_					=  pipe(
							    image=UpperCAmelCase							,						generator=UpperCAmelCase							,						guidance_scale=7.5							,						num_inference_steps=50							,						output_type='''numpy'''							,						).images

							lowerCamelCase_					=  image[0, 253:256, 253:256, -1]

							assert image.shape == (1, 512, 512, 3)
							lowerCamelCase_					=  np.array([0.0_4_4_1, 0.0_4_6_9, 0.0_5_0_7, 0.0_5_7_5, 0.0_6_3_2, 0.0_6_5_0, 0.0_8_6_5, 0.0_9_0_9, 0.0_9_4_5]   )

							assert np.abs(image_slice.flatten() - expected_slice   ).max() < 1e-2





"""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  __lowerCamelCase  ( unittest.TestCase			):




				@parameterized.expand([(None,), ('''foo.json''',)]   )
				def        UpperCAmelCase__						(				self							,						UpperCAmelCase   ):
							lowerCamelCase_					=  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   )
										lowerCamelCase_					=  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        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  AutoConfig.from_pretrained('''gpt2'''   )
							lowerCamelCase_					=  GenerationConfig.from_model_config(UpperCAmelCase   )
							lowerCamelCase_					=  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        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  GenerationConfig()
							lowerCamelCase_					=  {
							    '''max_new_tokens''': 1024,
							    '''foo''': '''bar''',
							}
							lowerCamelCase_					=  copy.deepcopy(UpperCAmelCase   )
							lowerCamelCase_					=  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        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  GenerationConfig()
							lowerCamelCase_					=  '''bar'''

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

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

							lowerCamelCase_					=  GenerationConfig.from_model_config(UpperCAmelCase   )
							assert not hasattr(UpperCAmelCase							,						'''foo'''   )  # no new kwargs should be initialized if from config





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

							lowerCamelCase_					=  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   )
										lowerCamelCase_					=  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  __lowerCamelCase  ( unittest.TestCase			):




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




				@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_					=  GenerationConfig(
							    do_sample=UpperCAmelCase							,						temperature=0.7							,						length_penalty=1.0							,						)
							config.push_to_hub('''test-generation-config'''							,						use_auth_token=self._token   )

							lowerCamelCase_					=  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   )

							lowerCamelCase_					=  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        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  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   )

							lowerCamelCase_					=  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   )

							lowerCamelCase_					=  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   )   )



