



import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
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			):






   """simple docstring"""





   def 		snake_case__			(				self	:       Optional[Any]   )						->					List[Any]:
         """simple docstring"""







         super().tearDown()
         gc.collect()





   def 		snake_case__			(				self	:       List[Any]   )						->					List[str]:
         """simple docstring"""







         __lowercase	,			__lowercase					=				FlaxControlNetModel.from_pretrained(
             """lllyasviel/sd-controlnet-canny"""			,     from_pt=lowercase			,     dtype=jnp.bfloataa   )
         __lowercase	,			__lowercase					=				FlaxStableDiffusionControlNetPipeline.from_pretrained(
             """runwayml/stable-diffusion-v1-5"""			,     controlnet=lowercase			,     from_pt=lowercase			,     dtype=jnp.bfloataa   )
         __lowercase					=				controlnet_params

         __lowercase					=				"""bird"""
         __lowercase					=				jax.device_count()
         __lowercase					=				pipe.prepare_text_inputs([prompts] * num_samples   )

         __lowercase					=				load_image(
             """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png"""   )
         __lowercase					=				pipe.prepare_image_inputs([canny_image] * num_samples   )

         __lowercase					=				jax.random.PRNGKey(0   )
         __lowercase					=				jax.random.split(lowercase			,     jax.device_count()   )

         __lowercase					=				replicate(lowercase   )
         __lowercase					=				shard(lowercase   )
         __lowercase					=				shard(lowercase   )

         __lowercase					=				pipe(
             prompt_ids=lowercase			,     image=lowercase			,     params=lowercase			,     prng_seed=lowercase			,     num_inference_steps=50			,     jit=lowercase			,     ).images
         assert images.shape == (jax.device_count(), 1, 768, 512, 3)

         __lowercase					=				images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]   )
         __lowercase					=				images[0, 253:256, 253:256, -1]

         __lowercase					=				jnp.asarray(jax.device_get(image_slice.flatten()   )   )
         __lowercase					=				jnp.array(
             [0.16_7969, 0.11_6699, 0.08_1543, 0.15_4297, 0.13_2812, 0.10_8887, 0.16_9922, 0.16_9922, 0.20_5078]   )
         print(F"output_slice: {output_slice}"   )
         assert jnp.abs(output_slice - expected_slice   ).max() < 1E-2







   def 		snake_case__			(				self	:       Optional[Any]   )						->					Tuple:
         """simple docstring"""







         __lowercase	,			__lowercase					=				FlaxControlNetModel.from_pretrained(
             """lllyasviel/sd-controlnet-openpose"""			,     from_pt=lowercase			,     dtype=jnp.bfloataa   )
         __lowercase	,			__lowercase					=				FlaxStableDiffusionControlNetPipeline.from_pretrained(
             """runwayml/stable-diffusion-v1-5"""			,     controlnet=lowercase			,     from_pt=lowercase			,     dtype=jnp.bfloataa   )
         __lowercase					=				controlnet_params

         __lowercase					=				"""Chef in the kitchen"""
         __lowercase					=				jax.device_count()
         __lowercase					=				pipe.prepare_text_inputs([prompts] * num_samples   )

         __lowercase					=				load_image(
             """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png"""   )
         __lowercase					=				pipe.prepare_image_inputs([pose_image] * num_samples   )

         __lowercase					=				jax.random.PRNGKey(0   )
         __lowercase					=				jax.random.split(lowercase			,     jax.device_count()   )

         __lowercase					=				replicate(lowercase   )
         __lowercase					=				shard(lowercase   )
         __lowercase					=				shard(lowercase   )

         __lowercase					=				pipe(
             prompt_ids=lowercase			,     image=lowercase			,     params=lowercase			,     prng_seed=lowercase			,     num_inference_steps=50			,     jit=lowercase			,     ).images
         assert images.shape == (jax.device_count(), 1, 768, 512, 3)

         __lowercase					=				images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]   )
         __lowercase					=				images[0, 253:256, 253:256, -1]

         __lowercase					=				jnp.asarray(jax.device_get(image_slice.flatten()   )   )
         __lowercase					=				jnp.array(
             [[0.27_1484, 0.26_1719, 0.27_5391, 0.27_7344, 0.27_9297, 0.29_1016, 0.29_4922, 0.30_2734, 0.30_2734]]   )
         print(F"output_slice: {output_slice}"   )
         assert jnp.abs(output_slice - expected_slice   ).max() < 1E-2










import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 			_lowerCAmelCase   ( _UpperCAmelCase    ,					unittest.TestCase			):






			"""simple docstring"""





			lowercase__      :  Tuple      =			LxmertTokenizer
			lowercase__      :  List[str]      =			LxmertTokenizerFast
			lowercase__      :  Optional[Any]      =			True
			lowercase__      :  List[Any]      =			True





			def 		snake_case__			(				self	:       Tuple   )						->					Tuple:
									"""simple docstring"""







									super().setUp()

									__lowercase					=				[
									    """[UNK]""",
									    """[CLS]""",
									    """[SEP]""",
									    """want""",
									    """##want""",
									    """##ed""",
									    """wa""",
									    """un""",
									    """runn""",
									    """##ing""",
									    """,""",
									    """low""",
									    """lowest""",
									]
									__lowercase					=				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]   )   )





			def 		snake_case__			(				self	:       Optional[int]			,     lowercase	:       int   )						->					List[Any]:
									"""simple docstring"""







									__lowercase					=				"""UNwant\u00E9d,running"""
									__lowercase					=				"""unwanted, running"""
									return input_text, output_text





			def 		snake_case__			(				self	:       str   )						->					Any:
									"""simple docstring"""







									__lowercase					=				self.tokenizer_class(self.vocab_file   )

									__lowercase					=				tokenizer.tokenize("""UNwant\u00E9d,running"""   )
									self.assertListEqual(lowercase			,     ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]   )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase   )			,     [7, 4, 5, 10, 8, 9]   )







			def 		snake_case__			(				self	:       Union[str, Any]   )						->					int:
									"""simple docstring"""







									if not self.test_rust_tokenizer:
															return

									__lowercase					=				self.get_tokenizer()
									__lowercase					=				self.get_rust_tokenizer()

									__lowercase					=				"""I was born in 92000, and this is falsé."""

									__lowercase					=				tokenizer.tokenize(lowercase   )
									__lowercase					=				rust_tokenizer.tokenize(lowercase   )
									self.assertListEqual(lowercase			,     lowercase   )

									__lowercase					=				tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
									__lowercase					=				rust_tokenizer.encode(lowercase			,     add_special_tokens=lowercase   )
									self.assertListEqual(lowercase			,     lowercase   )

									__lowercase					=				self.get_rust_tokenizer()
									__lowercase					=				tokenizer.encode(lowercase   )
									__lowercase					=				rust_tokenizer.encode(lowercase   )
									self.assertListEqual(lowercase			,     lowercase   )





