





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       __A					(					unittest.TestCase				):

			'''simple docstring'''







			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	jnp.ones((batch_size, length)							) / length
				return scores





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	None
				lowerCamelCase__              =	2_0

				lowerCamelCase__              =	self._get_uniform_logits(batch_size=2 ,						length=__lowerCAmelCase							)

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

				# compute softmax
				lowerCamelCase__              =	jax.nn.softmax(__lowerCAmelCase ,						axis=-1							)

				lowerCamelCase__              =	FlaxTemperatureLogitsWarper(temperature=0.5							)
				lowerCamelCase__              =	FlaxTemperatureLogitsWarper(temperature=1.3							)

				lowerCamelCase__              =	jax.nn.softmax(temp_dist_warper_sharper(__lowerCAmelCase ,						scores.copy() ,						cur_len=__lowerCAmelCase							) ,						axis=-1							)
				lowerCamelCase__              =	jax.nn.softmax(temp_dist_warper_smoother(__lowerCAmelCase ,						scores.copy() ,						cur_len=__lowerCAmelCase							) ,						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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	None
				lowerCamelCase__              =	1_0
				lowerCamelCase__              =	2

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

				lowerCamelCase__              =	FlaxTopKLogitsWarper(3							)

				lowerCamelCase__              =	top_k_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)

				# 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
				lowerCamelCase__              =	5
				lowerCamelCase__              =	FlaxTopKLogitsWarper(top_k=1 ,						filter_value=0.0 ,						min_tokens_to_keep=3							)

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

				# min_tokens overwrites k: 3 tokens are kept => 2 tokens are nullified
				self.assertListEqual((scores == 0.0).sum(axis=-1							).tolist() ,						[2, 2]							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	None
				lowerCamelCase__              =	1_0
				lowerCamelCase__              =	2

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

				lowerCamelCase__              =	FlaxTopPLogitsWarper(0.8							)
				lowerCamelCase__              =	np.exp(top_p_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)							)

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

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

				# make ramp_logits more extreme
				lowerCamelCase__              =	ramp_logits[1] * 100.0

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

				# 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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	2_0
				lowerCamelCase__              =	4
				lowerCamelCase__              =	0

				lowerCamelCase__              =	FlaxMinLengthLogitsProcessor(min_length=1_0 ,						eos_token_id=__lowerCAmelCase							)

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

				# check that min length is not applied anymore at length 15
				lowerCamelCase__              =	self._get_uniform_logits(__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	1_5
				lowerCamelCase__              =	min_dist_processor(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				self.assertFalse(jnp.isinf(__lowerCAmelCase							).any()							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	2_0
				lowerCamelCase__              =	4
				lowerCamelCase__              =	0

				lowerCamelCase__              =	FlaxForcedBOSTokenLogitsProcessor(bos_token_id=__lowerCAmelCase							)

				# check that all scores are -inf except the bos_token_id score
				lowerCamelCase__              =	ids_tensor((batch_size, 1) ,						vocab_size=2_0							)
				lowerCamelCase__              =	1
				lowerCamelCase__              =	self._get_uniform_logits(__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	logits_processor(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				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
				lowerCamelCase__              =	3
				lowerCamelCase__              =	self._get_uniform_logits(__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	logits_processor(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				self.assertFalse(jnp.isinf(__lowerCAmelCase							).any()							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	2_0
				lowerCamelCase__              =	4
				lowerCamelCase__              =	0
				lowerCamelCase__              =	5

				lowerCamelCase__              =	FlaxForcedEOSTokenLogitsProcessor(max_length=__lowerCAmelCase ,						eos_token_id=__lowerCAmelCase							)

				# check that all scores are -inf except the eos_token_id when max_length is reached
				lowerCamelCase__              =	ids_tensor((batch_size, 4) ,						vocab_size=2_0							)
				lowerCamelCase__              =	4
				lowerCamelCase__              =	self._get_uniform_logits(__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	logits_processor(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				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
				lowerCamelCase__              =	3
				lowerCamelCase__              =	self._get_uniform_logits(__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	logits_processor(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				self.assertFalse(jnp.isinf(__lowerCAmelCase							).any()							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	4
				lowerCamelCase__              =	1_0
				lowerCamelCase__              =	1_5
				lowerCamelCase__              =	2
				lowerCamelCase__              =	1
				lowerCamelCase__              =	1_5

				# dummy input_ids and scores
				lowerCamelCase__              =	ids_tensor((batch_size, sequence_length) ,						__lowerCAmelCase							)
				lowerCamelCase__              =	input_ids.copy()

				lowerCamelCase__              =	self._get_uniform_logits(__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	scores.copy()

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

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

				lowerCamelCase__              =	1_0

				# no processor list
				lowerCamelCase__              =	temp_dist_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				lowerCamelCase__              =	top_k_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				lowerCamelCase__              =	top_p_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				lowerCamelCase__              =	min_dist_proc(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				lowerCamelCase__              =	bos_dist_proc(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
				lowerCamelCase__              =	eos_dist_proc(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)

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

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

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





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	4
				lowerCamelCase__              =	1_0
				lowerCamelCase__              =	1_5
				lowerCamelCase__              =	2
				lowerCamelCase__              =	1
				lowerCamelCase__              =	1_5

				# dummy input_ids and scores
				lowerCamelCase__              =	ids_tensor((batch_size, sequence_length) ,						__lowerCAmelCase							)
				lowerCamelCase__              =	input_ids.copy()

				lowerCamelCase__              =	self._get_uniform_logits(__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	scores.copy()

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

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

				lowerCamelCase__              =	1_0

				# no processor list
				def run_no_processor_list(__lowerCAmelCase ,						__lowerCAmelCase ,						__lowerCAmelCase							):
					lowerCamelCase__              =	temp_dist_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
					lowerCamelCase__              =	top_k_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
					lowerCamelCase__              =	top_p_warp(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
					lowerCamelCase__              =	min_dist_proc(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
					lowerCamelCase__              =	bos_dist_proc(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
					lowerCamelCase__              =	eos_dist_proc(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
					return scores

				# with processor list
				def run_processor_list(__lowerCAmelCase ,						__lowerCAmelCase ,						__lowerCAmelCase							):
					lowerCamelCase__              =	FlaxLogitsProcessorList(
					    [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]							)
					lowerCamelCase__              =	processor(__lowerCAmelCase ,						__lowerCAmelCase ,						cur_len=__lowerCAmelCase							)
					return scores

				lowerCamelCase__              =	jax.jit(__lowerCAmelCase							)
				lowerCamelCase__              =	jax.jit(__lowerCAmelCase							)

				lowerCamelCase__              =	jitted_run_no_processor_list(__lowerCAmelCase ,						__lowerCAmelCase ,						__lowerCAmelCase							)
				lowerCamelCase__              =	jitted_run_processor_list(__lowerCAmelCase ,						__lowerCAmelCase ,						__lowerCAmelCase							)

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

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










from __future__ import annotations





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case							)       ->   float:







	'''simple docstring'''







	if days_between_payments <= 0:
		raise ValueError('''days_between_payments must be > 0'''							)
	if daily_interest_rate < 0:
		raise ValueError('''daily_interest_rate must be >= 0'''							)
	if principal <= 0:
		raise ValueError('''principal must be > 0'''							)
	return principal * daily_interest_rate * days_between_payments





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,)       ->   float:







	'''simple docstring'''







	if number_of_compounding_periods <= 0:
		raise ValueError('''number_of_compounding_periods must be > 0'''							)
	if nominal_annual_interest_rate_percentage < 0:
		raise ValueError('''nominal_annual_interest_rate_percentage must be >= 0'''							)
	if principal <= 0:
		raise ValueError('''principal must be > 0'''							)

	return principal * (
	    (1 + nominal_annual_interest_rate_percentage) ** number_of_compounding_periods
	    - 1
	)





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,)       ->   float:







	'''simple docstring'''







	if number_of_years <= 0:
		raise ValueError('''number_of_years must be > 0'''							)
	if nominal_annual_percentage_rate < 0:
		raise ValueError('''nominal_annual_percentage_rate must be >= 0'''							)
	if principal <= 0:
		raise ValueError('''principal must be > 0'''							)

	return compound_interest(
	    __snake_case ,nominal_annual_percentage_rate / 365 ,number_of_years * 365							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()



