


"""simple docstring"""



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 					__magic_name__		(			unittest.TestCase     ):






       def  __snake_case						(   self  :    str  ,     snake_case__  :    int  ,     snake_case__  :    int				):

              '''simple docstring'''






              lowercase		:Dict       							=				jnp.ones((batch_size, length)				) / length
              return scores






       def  __snake_case						(   self  :    Tuple				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				None
              lowercase		:Optional[int]       							=				2_0

              lowercase		:Dict       							=				self._get_uniform_logits(batch_size=2  ,     length=snake_case__				)

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

              # compute softmax
              lowercase		:Dict       							=				jax.nn.softmax(snake_case__  ,     axis=-1				)

              lowercase		:Any       							=				FlaxTemperatureLogitsWarper(temperature=0.5				)
              lowercase		:Dict       							=				FlaxTemperatureLogitsWarper(temperature=1.3				)

              lowercase		:Union[str, Any]       							=				jax.nn.softmax(temp_dist_warper_sharper(snake_case__  ,     scores.copy()  ,     cur_len=snake_case__				)  ,     axis=-1				)
              lowercase		:List[str]       							=				jax.nn.softmax(temp_dist_warper_smoother(snake_case__  ,     scores.copy()  ,     cur_len=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  __snake_case						(   self  :    int				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				None
              lowercase		:Optional[Any]       							=				1_0
              lowercase		:Union[str, Any]       							=				2

              # create ramp distribution
              lowercase		:List[Any]       							=				np.broadcast_to(np.arange(snake_case__				)[None, :]  ,     (batch_size, vocab_size)				).copy()
              lowercase		:int       							=				ramp_logits[1:, : vocab_size // 2] + vocab_size

              lowercase		:Optional[Any]       							=				FlaxTopKLogitsWarper(3				)

              lowercase		:Dict       							=				top_k_warp(snake_case__  ,     snake_case__  ,     cur_len=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		:Optional[Any]       							=				5
              lowercase		:str       							=				FlaxTopKLogitsWarper(top_k=1  ,     filter_value=0.0  ,     min_tokens_to_keep=3				)

              lowercase		:Any       							=				np.broadcast_to(np.arange(snake_case__				)[None, :]  ,     (batch_size, length)				).copy()
              lowercase		:Optional[Any]       							=				top_k_warp_safety_check(snake_case__  ,     snake_case__  ,     cur_len=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  __snake_case						(   self  :    int				):

              '''simple docstring'''






              lowercase		:Dict       							=				None
              lowercase		:List[str]       							=				1_0
              lowercase		:List[Any]       							=				2

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

              lowercase		:Tuple       							=				FlaxTopPLogitsWarper(0.8				)
              lowercase		:Tuple       							=				np.exp(top_p_warp(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)				)

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

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

              # make ramp_logits more extreme
              lowercase		:int       							=				ramp_logits[1] * 1_00.0

              # make sure at least 2 tokens are kept
              lowercase		:List[Any]       							=				FlaxTopPLogitsWarper(0.9  ,     min_tokens_to_keep=2  ,     filter_value=0.0				)
              lowercase		:Tuple       							=				top_p_warp(snake_case__  ,     snake_case__  ,     cur_len=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  __snake_case						(   self  :    List[Any]				):

              '''simple docstring'''






              lowercase		:Dict       							=				2_0
              lowercase		:List[Any]       							=				4
              lowercase		:int       							=				0

              lowercase		:int       							=				FlaxMinLengthLogitsProcessor(min_length=1_0  ,     eos_token_id=snake_case__				)

              # check that min length is applied at length 5
              lowercase		:Tuple       							=				ids_tensor((batch_size, 2_0)  ,     vocab_size=2_0				)
              lowercase		:Optional[int]       							=				5
              lowercase		:Any       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:str       							=				min_dist_processor(snake_case__  ,     snake_case__  ,     cur_len=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		:int       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:str       							=				1_5
              lowercase		:Dict       							=				min_dist_processor(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              self.assertFalse(jnp.isinf(snake_case__				).any()				)






       def  __snake_case						(   self  :    Optional[Any]				):

              '''simple docstring'''






              lowercase		:Optional[int]       							=				2_0
              lowercase		:Union[str, Any]       							=				4
              lowercase		:List[Any]       							=				0

              lowercase		:List[str]       							=				FlaxForcedBOSTokenLogitsProcessor(bos_token_id=snake_case__				)

              # check that all scores are -inf except the bos_token_id score
              lowercase		:Union[str, Any]       							=				ids_tensor((batch_size, 1)  ,     vocab_size=2_0				)
              lowercase		:str       							=				1
              lowercase		:str       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:Dict       							=				logits_processor(snake_case__  ,     snake_case__  ,     cur_len=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		:Tuple       							=				3
              lowercase		:str       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:int       							=				logits_processor(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              self.assertFalse(jnp.isinf(snake_case__				).any()				)






       def  __snake_case						(   self  :    Any				):

              '''simple docstring'''






              lowercase		:Optional[int]       							=				2_0
              lowercase		:Optional[Any]       							=				4
              lowercase		:Dict       							=				0
              lowercase		:Union[str, Any]       							=				5

              lowercase		:Any       							=				FlaxForcedEOSTokenLogitsProcessor(max_length=snake_case__  ,     eos_token_id=snake_case__				)

              # check that all scores are -inf except the eos_token_id when max_length is reached
              lowercase		:str       							=				ids_tensor((batch_size, 4)  ,     vocab_size=2_0				)
              lowercase		:str       							=				4
              lowercase		:Union[str, Any]       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:Optional[int]       							=				logits_processor(snake_case__  ,     snake_case__  ,     cur_len=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		:Optional[int]       							=				3
              lowercase		:Any       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:int       							=				logits_processor(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              self.assertFalse(jnp.isinf(snake_case__				).any()				)






       def  __snake_case						(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:Union[str, Any]       							=				4
              lowercase		:List[str]       							=				1_0
              lowercase		:Union[str, Any]       							=				1_5
              lowercase		:Optional[int]       							=				2
              lowercase		:Union[str, Any]       							=				1
              lowercase		:Any       							=				1_5

              # dummy input_ids and scores
              lowercase		:List[Any]       							=				ids_tensor((batch_size, sequence_length)  ,     snake_case__				)
              lowercase		:List[str]       							=				input_ids.copy()

              lowercase		:int       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:Tuple       							=				scores.copy()

              # instantiate all dist processors
              lowercase		:Optional[Any]       							=				FlaxTemperatureLogitsWarper(temperature=0.5				)
              lowercase		:Optional[int]       							=				FlaxTopKLogitsWarper(3				)
              lowercase		:Any       							=				FlaxTopPLogitsWarper(0.8				)

              # instantiate all logits processors
              lowercase		:str       							=				FlaxMinLengthLogitsProcessor(min_length=1_0  ,     eos_token_id=snake_case__				)
              lowercase		:Dict       							=				FlaxForcedBOSTokenLogitsProcessor(bos_token_id=snake_case__				)
              lowercase		:List[Any]       							=				FlaxForcedEOSTokenLogitsProcessor(max_length=snake_case__  ,     eos_token_id=snake_case__				)

              lowercase		:str       							=				1_0

              # no processor list
              lowercase		:Tuple       							=				temp_dist_warp(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              lowercase		:Union[str, Any]       							=				top_k_warp(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              lowercase		:Optional[int]       							=				top_p_warp(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              lowercase		:List[Any]       							=				min_dist_proc(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              lowercase		:List[Any]       							=				bos_dist_proc(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
              lowercase		:List[str]       							=				eos_dist_proc(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)

              # with processor list
              lowercase		:Optional[int]       							=				FlaxLogitsProcessorList(
                  [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]				)
              lowercase		:Dict       							=				processor(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)

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

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







       def  __snake_case						(   self  :    int				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				4
              lowercase		:Tuple       							=				1_0
              lowercase		:str       							=				1_5
              lowercase		:Tuple       							=				2
              lowercase		:Dict       							=				1
              lowercase		:Dict       							=				1_5

              # dummy input_ids and scores
              lowercase		:Dict       							=				ids_tensor((batch_size, sequence_length)  ,     snake_case__				)
              lowercase		:Optional[int]       							=				input_ids.copy()

              lowercase		:List[Any]       							=				self._get_uniform_logits(snake_case__  ,     snake_case__				)
              lowercase		:Optional[int]       							=				scores.copy()

              # instantiate all dist processors
              lowercase		:List[Any]       							=				FlaxTemperatureLogitsWarper(temperature=0.5				)
              lowercase		:str       							=				FlaxTopKLogitsWarper(3				)
              lowercase		:Any       							=				FlaxTopPLogitsWarper(0.8				)

              # instantiate all logits processors
              lowercase		:List[str]       							=				FlaxMinLengthLogitsProcessor(min_length=1_0  ,     eos_token_id=snake_case__				)
              lowercase		:List[str]       							=				FlaxForcedBOSTokenLogitsProcessor(bos_token_id=snake_case__				)
              lowercase		:List[str]       							=				FlaxForcedEOSTokenLogitsProcessor(max_length=snake_case__  ,     eos_token_id=snake_case__				)

              lowercase		:int       							=				1_0

              # no processor list
              def run_no_processor_list(snake_case__  :    Optional[Any]  ,     snake_case__  :    Any  ,     snake_case__  :    Tuple				):
                     lowercase		:int       							=				temp_dist_warp(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
                     lowercase		:List[str]       							=				top_k_warp(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
                     lowercase		:Union[str, Any]       							=				top_p_warp(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
                     lowercase		:List[Any]       							=				min_dist_proc(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
                     lowercase		:int       							=				bos_dist_proc(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
                     lowercase		:Dict       							=				eos_dist_proc(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
                     return scores

              # with processor list
              def run_processor_list(snake_case__  :    List[str]  ,     snake_case__  :    List[Any]  ,     snake_case__  :    Union[str, Any]				):
                     lowercase		:Optional[int]       							=				FlaxLogitsProcessorList(
                         [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]				)
                     lowercase		:Tuple       							=				processor(snake_case__  ,     snake_case__  ,     cur_len=snake_case__				)
                     return scores

              lowercase		:Union[str, Any]       							=				jax.jit(snake_case__				)
              lowercase		:Dict       							=				jax.jit(snake_case__				)

              lowercase		:List[str]       							=				jitted_run_no_processor_list(snake_case__  ,     snake_case__  ,     snake_case__				)
              lowercase		:Optional[int]       							=				jitted_run_processor_list(snake_case__  ,     snake_case__  ,     snake_case__				)

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

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





"""simple docstring"""



import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
 import jax
@require_flax
class 					__magic_name__		(			__UpperCAmelCase			,						unittest.TestCase     ):
       __A			:      str        =   FlaxAutoencoderKL






       @property
       def  __snake_case						(   self  :    List[str]				):

              '''simple docstring'''






              lowercase		:Dict       							=				4
              lowercase		:Optional[int]       							=				3
              lowercase		:Any       							=				(3_2, 3_2)

              lowercase		:Optional[int]       							=				jax.random.PRNGKey(0				)
              lowercase		:Any       							=				jax.random.uniform(snake_case__  ,     ((batch_size, num_channels) + sizes)				)

              return {"sample": image, "prng_key": prng_key}







       def  __snake_case						(   self  :    Union[str, Any]				):

              '''simple docstring'''






              lowercase		:List[Any]       							=				{
                  '''block_out_channels''': [3_2, 6_4],
                  '''in_channels''': 3,
                  '''out_channels''': 3,
                  '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
                  '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
                  '''latent_channels''': 4,
              }
              lowercase		:Optional[int]       							=				self.dummy_input
              return init_dict, inputs_dict

