
import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
   import jax
   import jax.numpy as jnp
   from flax.jax_utils import replicate
   from flax.training.common_utils import shard







@slow
@require_flax
class   lowerCamelCase	(						unittest.TestCase						):





     def 	UpperCAmelCase(self   :					int     )		->		Optional[Any]:
         # clean up the VRAM after each test
         super().tearDown()
         gc.collect()





     def 	UpperCAmelCase(self   :					Dict     )		->		Tuple:
         snake_case				  =      load_image(
             "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
             "/sd2-inpaint/init_image.png"     )
         snake_case				  =      load_image(
             "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png"     )

         snake_case				  =      "xvjiarui/stable-diffusion-2-inpainting"
         snake_case  ,							snake_case				  =      FlaxStableDiffusionInpaintPipeline.from_pretrained(_A       ,					safety_checker=_A     )

         snake_case				  =      "Face of a yellow cat, high resolution, sitting on a park bench"

         snake_case				  =      jax.random.PRNGKey(0     )
         snake_case				  =      5_0

         snake_case				  =      jax.device_count()
         snake_case				  =      num_samples * [prompt]
         snake_case				  =      num_samples * [init_image]
         snake_case				  =      num_samples * [mask_image]
         snake_case  ,							snake_case  ,							snake_case				  =      pipeline.prepare_inputs(_A       ,					_A       ,					_A     )

         # shard inputs and rng
         snake_case				  =      replicate(_A     )
         snake_case				  =      jax.random.split(_A       ,					jax.device_count()     )
         snake_case				  =      shard(_A     )
         snake_case				  =      shard(_A     )
         snake_case				  =      shard(_A     )

         snake_case				  =      pipeline(
             _A       ,					_A       ,					_A       ,					_A       ,					_A       ,					_A       ,					jit=_A     )

         snake_case				  =      output.images.reshape(_A       ,					5_1_2       ,					5_1_2       ,					3     )

         snake_case				  =      images[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

         snake_case				  =      jnp.asarray(jax.device_get(image_slice.flatten()     )     )
         snake_case				  =      jnp.array(
             [0.3_61_13_07, 0.37_64_97_36, 0.3_75_74_08, 0.38_21_39_53, 0.39_29_51_67, 0.3_84_16_31, 0.41_55_49_78, 0.4_13_74_75, 0.4_21_70_84]     )
         print(f'output_slice: {output_slice}'     )
         assert jnp.abs(output_slice - expected_slice     ).max() < 1E-2



import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin







@require_jieba
class   lowerCamelCase	(						A_							,				unittest.TestCase						):
     UpperCAmelCase__       :							Any     =	CpmAntTokenizer
     UpperCAmelCase__       :							Optional[Any]     =	False





     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Dict:
         super().setUp()

         snake_case				  =      [
             "<d>",
             "</d>",
             "<s>",
             "</s>",
             "</_>",
             "<unk>",
             "<pad>",
             "</n>",
             "我",
             "是",
             "C",
             "P",
             "M",
             "A",
             "n",
             "t",
         ]
         snake_case				  =      os.path.join(self.tmpdirname       ,					VOCAB_FILES_NAMES["vocab_file"]     )
         with open(self.vocab_file       ,					"w"       ,					encoding="utf-8"     ) as vocab_writer:
             vocab_writer.write("".join([x + "\n" for x in vocab_tokens]     )     )





     @tooslow
     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Optional[int]:
         snake_case				  =      CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"     )
         snake_case				  =      "今天天气真好！"
         snake_case				  =      ["今天", "天气", "真", "好", "！"]
         snake_case				  =      tokenizer.tokenize(_A     )
         self.assertListEqual(_A       ,					_A     )
         snake_case				  =      "今天天气真好！"
         snake_case				  =      [tokenizer.bos_token] + tokens

         snake_case				  =      [6, 9_8_0_2, 1_4_9_6_2, 2_0_8_2, 8_3_1, 2_4_4]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_A     )       ,					_A     )

         snake_case				  =      tokenizer.decode(_A     )
         self.assertEqual(_A       ,					_A     )

