
import unittest

import numpy as np

from transformers import is_flax_available
from transformers.testing_utils import require_flax

from ..test_modeling_flax_common import ids_tensor


if is_flax_available():
						import jax
						import jax.numpy as jnp

						from transformers.generation import (
						    FlaxForcedBOSTokenLogitsProcessor,
						    FlaxForcedEOSTokenLogitsProcessor,
						    FlaxLogitsProcessorList,
						    FlaxMinLengthLogitsProcessor,
						    FlaxTemperatureLogitsWarper,
						    FlaxTopKLogitsWarper,
						    FlaxTopPLogitsWarper,
						)
@require_flax
class  lowercase__(				unittest.TestCase							):



	"""simple docstring"""




	def 						_lowercase  (       self  :			Optional[Any]       ,							SCREAMING_SNAKE_CASE_  :			int       ,							SCREAMING_SNAKE_CASE_  :			int       )       ->     Tuple:
					lowercase_       =					jnp.ones((batch_size, length)       ) / length
					return scores
	def 						_lowercase  (       self  :			Tuple       )       ->     Optional[int]:
					lowercase_       =					None
					lowercase_       =					2_0

					lowercase_       =					self._get_uniform_logits(batch_size=2       ,							length=SCREAMING_SNAKE_CASE_       )

					# tweak scores to not be uniform anymore
					lowercase_       =					scores.at[1, 5].set((1 / length) + 0.1       )  # peak, 1st batch
					lowercase_       =					scores.at[1, 1_0].set((1 / length) - 0.4       )  # valley, 1st batch

					# compute softmax
					lowercase_       =					jax.nn.softmax(SCREAMING_SNAKE_CASE_       ,							axis=-1       )

					lowercase_       =					FlaxTemperatureLogitsWarper(temperature=0.5       )
					lowercase_       =					FlaxTemperatureLogitsWarper(temperature=1.3       )

					lowercase_       =					jax.nn.softmax(temp_dist_warper_sharper(SCREAMING_SNAKE_CASE_       ,							scores.copy()       ,							cur_len=SCREAMING_SNAKE_CASE_       )       ,							axis=-1       )
					lowercase_       =					jax.nn.softmax(temp_dist_warper_smoother(SCREAMING_SNAKE_CASE_       ,							scores.copy()       ,							cur_len=SCREAMING_SNAKE_CASE_       )       ,							axis=-1       )

					# uniform distribution stays uniform
					self.assertTrue(jnp.allclose(probs[0, :]       ,							warped_prob_sharp[0, :]       ,							atol=1e-3       )       )
					self.assertTrue(jnp.allclose(probs[0, :]       ,							warped_prob_smooth[0, :]       ,							atol=1e-3       )       )

					# sharp peaks get higher, valleys get lower
					self.assertLess(probs[1, :].max()       ,							warped_prob_sharp[1, :].max()       )
					self.assertGreater(probs[1, :].min()       ,							warped_prob_sharp[1, :].min()       )

					# smooth peaks get lower, valleys get higher
					self.assertGreater(probs[1, :].max()       ,							warped_prob_smooth[1, :].max()       )
					self.assertLess(probs[1, :].min()       ,							warped_prob_smooth[1, :].min()       )
	def 						_lowercase  (       self  :			str       )       ->     Union[str, Any]:
					lowercase_       =					None
					lowercase_       =					1_0
					lowercase_       =					2

					# create ramp distribution
					lowercase_       =					np.broadcast_to(np.arange(SCREAMING_SNAKE_CASE_       )[None, :]       ,							(batch_size, vocab_size)       ).copy()
					lowercase_       =					ramp_logits[1:, : vocab_size // 2] + vocab_size

					lowercase_       =					FlaxTopKLogitsWarper(3       )

					lowercase_       =					top_k_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )

					# check that correct tokens are filtered
					self.assertListEqual(jnp.isinf(scores[0]       ).tolist()       ,							7 * [True] + 3 * [False]       )
					self.assertListEqual(jnp.isinf(scores[1]       ).tolist()       ,							2 * [True] + 3 * [False] + 5 * [True]       )

					# check special case
					lowercase_       =					5
					lowercase_       =					FlaxTopKLogitsWarper(top_k=1       ,							filter_value=0.0       ,							min_tokens_to_keep=3       )

					lowercase_       =					np.broadcast_to(np.arange(SCREAMING_SNAKE_CASE_       )[None, :]       ,							(batch_size, length)       ).copy()
					lowercase_       =					top_k_warp_safety_check(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )

					# min_tokens overwrites k: 3 tokens are kept => 2 tokens are nullified
					self.assertListEqual((scores == 0.0).sum(axis=-1       ).tolist()       ,							[2, 2]       )
	def 						_lowercase  (       self  :			Dict       )       ->     List[str]:
					lowercase_       =					None
					lowercase_       =					1_0
					lowercase_       =					2

					# create distribution and take log (inverse to Softmax as taken in TopPLogitsWarper)
					lowercase_       =					np.log(np.array([[0.3, 0.1, 0.1, 0.5], [0.15, 0.3, 0.3, 0.25]]       )       )

					lowercase_       =					FlaxTopPLogitsWarper(0.8       )
					lowercase_       =					np.exp(top_p_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )       )

					# dist should be filtered to keep min num values so that sum is >= top_p
					# exp (-inf) => 0
					lowercase_       =					np.array([[0.3, 0.0, 0.0, 0.5], [0.0, 0.3, 0.3, 0.25]]       )
					self.assertTrue(np.allclose(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							atol=1e-3       )       )

					# check edge cases with negative and extreme logits
					lowercase_       =					np.broadcast_to(np.arange(SCREAMING_SNAKE_CASE_       )[None, :]       ,							(batch_size, vocab_size)       ).copy() - (
					    vocab_size // 2
					)

					# make ramp_logits more extreme
					lowercase_       =					ramp_logits[1] * 1_00.0

					# make sure at least 2 tokens are kept
					lowercase_       =					FlaxTopPLogitsWarper(0.9       ,							min_tokens_to_keep=2       ,							filter_value=0.0       )
					lowercase_       =					top_p_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )

					# first batch should keep three tokens, second batch would keep only 1, but due to `min_tokens_to_keep=2` keeps 2.
					self.assertListEqual((filtered_dist != 0.0).sum(axis=-1       ).tolist()       ,							[3, 2]       )
	def 						_lowercase  (       self  :			Any       )       ->     List[str]:
					lowercase_       =					2_0
					lowercase_       =					4
					lowercase_       =					0

					lowercase_       =					FlaxMinLengthLogitsProcessor(min_length=1_0       ,							eos_token_id=SCREAMING_SNAKE_CASE_       )

					# check that min length is applied at length 5
					lowercase_       =					ids_tensor((batch_size, 2_0)       ,							vocab_size=2_0       )
					lowercase_       =					5
					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					min_dist_processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					self.assertListEqual(scores_before_min_length[:, eos_token_id].tolist()       ,							4 * [-float('''inf'''       )]       )

					# check that min length is not applied anymore at length 15
					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					1_5
					lowercase_       =					min_dist_processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					self.assertFalse(jnp.isinf(SCREAMING_SNAKE_CASE_       ).any()       )
	def 						_lowercase  (       self  :			Optional[Any]       )       ->     int:
					lowercase_       =					2_0
					lowercase_       =					4
					lowercase_       =					0

					lowercase_       =					FlaxForcedBOSTokenLogitsProcessor(bos_token_id=SCREAMING_SNAKE_CASE_       )

					# check that all scores are -inf except the bos_token_id score
					lowercase_       =					ids_tensor((batch_size, 1)       ,							vocab_size=2_0       )
					lowercase_       =					1
					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					logits_processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					self.assertTrue(jnp.isneginf(scores[:, bos_token_id + 1 :]       ).all()       )
					self.assertListEqual(scores[:, bos_token_id].tolist()       ,							4 * [0]       )  # score for bos_token_id shold be zero

					# check that bos_token_id is not forced if current length is greater than 1
					lowercase_       =					3
					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					logits_processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					self.assertFalse(jnp.isinf(SCREAMING_SNAKE_CASE_       ).any()       )
	def 						_lowercase  (       self  :			List[Any]       )       ->     List[Any]:
					lowercase_       =					2_0
					lowercase_       =					4
					lowercase_       =					0
					lowercase_       =					5

					lowercase_       =					FlaxForcedEOSTokenLogitsProcessor(max_length=SCREAMING_SNAKE_CASE_       ,							eos_token_id=SCREAMING_SNAKE_CASE_       )

					# check that all scores are -inf except the eos_token_id when max_length is reached
					lowercase_       =					ids_tensor((batch_size, 4)       ,							vocab_size=2_0       )
					lowercase_       =					4
					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					logits_processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					self.assertTrue(jnp.isneginf(scores[:, eos_token_id + 1 :]       ).all()       )
					self.assertListEqual(scores[:, eos_token_id].tolist()       ,							4 * [0]       )  # score for eos_token_id should be zero

					# check that eos_token_id is not forced if max_length is not reached
					lowercase_       =					3
					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					logits_processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					self.assertFalse(jnp.isinf(SCREAMING_SNAKE_CASE_       ).any()       )
	def 						_lowercase  (       self  :			List[Any]       )       ->     List[str]:
					lowercase_       =					4
					lowercase_       =					1_0
					lowercase_       =					1_5
					lowercase_       =					2
					lowercase_       =					1
					lowercase_       =					1_5

					# dummy input_ids and scores
					lowercase_       =					ids_tensor((batch_size, sequence_length)       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					input_ids.copy()

					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					scores.copy()

					# instantiate all dist processors
					lowercase_       =					FlaxTemperatureLogitsWarper(temperature=0.5       )
					lowercase_       =					FlaxTopKLogitsWarper(3       )
					lowercase_       =					FlaxTopPLogitsWarper(0.8       )

					# instantiate all logits processors
					lowercase_       =					FlaxMinLengthLogitsProcessor(min_length=1_0       ,							eos_token_id=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					FlaxForcedBOSTokenLogitsProcessor(bos_token_id=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					FlaxForcedEOSTokenLogitsProcessor(max_length=SCREAMING_SNAKE_CASE_       ,							eos_token_id=SCREAMING_SNAKE_CASE_       )

					lowercase_       =					1_0

					# no processor list
					lowercase_       =					temp_dist_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					top_k_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					top_p_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					min_dist_proc(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					bos_dist_proc(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					eos_dist_proc(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )

					# with processor list
					lowercase_       =					FlaxLogitsProcessorList(
					    [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]       )
					lowercase_       =					processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )

					# scores should be equal
					self.assertTrue(jnp.allclose(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							atol=1e-3       )       )

					# input_ids should never be changed
					self.assertListEqual(input_ids.tolist()       ,							input_ids_comp.tolist()       )




	def 						_lowercase  (       self  :			List[str]       )       ->     int:
					lowercase_       =					4
					lowercase_       =					1_0
					lowercase_       =					1_5
					lowercase_       =					2
					lowercase_       =					1
					lowercase_       =					1_5

					# dummy input_ids and scores
					lowercase_       =					ids_tensor((batch_size, sequence_length)       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					input_ids.copy()

					lowercase_       =					self._get_uniform_logits(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					scores.copy()

					# instantiate all dist processors
					lowercase_       =					FlaxTemperatureLogitsWarper(temperature=0.5       )
					lowercase_       =					FlaxTopKLogitsWarper(3       )
					lowercase_       =					FlaxTopPLogitsWarper(0.8       )

					# instantiate all logits processors
					lowercase_       =					FlaxMinLengthLogitsProcessor(min_length=1_0       ,							eos_token_id=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					FlaxForcedBOSTokenLogitsProcessor(bos_token_id=SCREAMING_SNAKE_CASE_       )
					lowercase_       =					FlaxForcedEOSTokenLogitsProcessor(max_length=SCREAMING_SNAKE_CASE_       ,							eos_token_id=SCREAMING_SNAKE_CASE_       )

					lowercase_       =					1_0

					# no processor list
					def run_no_processor_list(SCREAMING_SNAKE_CASE_  :			Tuple       ,							SCREAMING_SNAKE_CASE_  :			List[Any]       ,							SCREAMING_SNAKE_CASE_  :			int       ):
									lowercase_       =					temp_dist_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
									lowercase_       =					top_k_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
									lowercase_       =					top_p_warp(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
									lowercase_       =					min_dist_proc(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
									lowercase_       =					bos_dist_proc(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
									lowercase_       =					eos_dist_proc(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
									return scores

					# with processor list
					def run_processor_list(SCREAMING_SNAKE_CASE_  :			List[Any]       ,							SCREAMING_SNAKE_CASE_  :			Any       ,							SCREAMING_SNAKE_CASE_  :			List[str]       ):
									lowercase_       =					FlaxLogitsProcessorList(
									    [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]       )
									lowercase_       =					processor(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							cur_len=SCREAMING_SNAKE_CASE_       )
									return scores

					lowercase_       =					jax.jit(SCREAMING_SNAKE_CASE_       )
					lowercase_       =					jax.jit(SCREAMING_SNAKE_CASE_       )

					lowercase_       =					jitted_run_no_processor_list(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					jitted_run_processor_list(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )

					# scores should be equal
					self.assertTrue(jnp.allclose(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							atol=1e-3       )       )

					# input_ids should never be changed
					self.assertListEqual(input_ids.tolist()       ,							input_ids_comp.tolist()       )







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  lowercase				(       unittest.TestCase			):




				def     a							(					self       ):
											# clean up the VRAM after each test
											super().tearDown()
											gc.collect()




				def     a							(					self       ):
											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(snake_case      ,   safety_checker=snake_case       )

											snake_case_							=    'Face of a yellow cat, high resolution, sitting on a park bench'

											snake_case_							=    jax.random.PRNGKey(0       )
											snake_case_							=    50

											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(snake_case      ,   snake_case      ,   snake_case       )

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

											snake_case_							=    pipeline(
											    snake_case      ,   snake_case      ,   snake_case      ,   snake_case      ,   snake_case      ,   snake_case      ,   jit=snake_case       )

											snake_case_							=    output.images.reshape(snake_case      ,   512      ,   512      ,   3       )

											snake_case_							=    images[0, 253:256, 253:256, -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




