

import unittest

from transformers import SPIECE_UNDERLINE, XLNetTokenizer, XLNetTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


_a:     str							=      get_tests_dir("""fixtures/test_sentencepiece.model""")

@require_sentencepiece
@require_tokenizers
class     __UpperCamelCase     (       lowercase  ,  unittest.TestCase    ):
	SCREAMING_SNAKE_CASE__     					=  XLNetTokenizer
	SCREAMING_SNAKE_CASE__     					=  XLNetTokenizerFast
	SCREAMING_SNAKE_CASE__     					=  True
	SCREAMING_SNAKE_CASE__     					=  True




	def    __A       (		self						:    int				):


		'''simple docstring'''







		super().setUp()

		# We have a SentencePiece fixture for testing
		UpperCAmelCase_												=      XLNetTokenizer(SCREAMING_SNAKE_CASE__		,						keep_accents=SCREAMING_SNAKE_CASE__				)
		tokenizer.sanitize_special_tokens()
		tokenizer.save_pretrained(self.tmpdirname				)




	def    __A       (		self						:    List[Any]				):


		'''simple docstring'''







		UpperCAmelCase_												=      "<s>"
		UpperCAmelCase_												=      1

		self.assertEqual(self.get_tokenizer()._convert_token_to_id(SCREAMING_SNAKE_CASE__				)		,						SCREAMING_SNAKE_CASE__				)
		self.assertEqual(self.get_tokenizer()._convert_id_to_token(SCREAMING_SNAKE_CASE__				)		,						SCREAMING_SNAKE_CASE__				)




	def    __A       (		self						:    Optional[int]				):


		'''simple docstring'''







		UpperCAmelCase_												=      list(self.get_tokenizer().get_vocab().keys()				)

		self.assertEqual(vocab_keys[0]		,						"<unk>"				)
		self.assertEqual(vocab_keys[1]		,						"<s>"				)
		self.assertEqual(vocab_keys[-1]		,						"<eod>"				)
		self.assertEqual(len(SCREAMING_SNAKE_CASE__				)		,						1_006				)




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


		'''simple docstring'''







		self.assertEqual(self.get_tokenizer().vocab_size		,						1_000				)




	def    __A       (		self						:    str				):


		'''simple docstring'''







		UpperCAmelCase_												=      XLNetTokenizer(SCREAMING_SNAKE_CASE__		,						keep_accents=SCREAMING_SNAKE_CASE__				)

		UpperCAmelCase_												=      tokenizer.tokenize("This is a test"				)
		self.assertListEqual(SCREAMING_SNAKE_CASE__		,						["▁This", "▁is", "▁a", "▁t", "est"]				)

		self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__				)		,						[285, 46, 10, 170, 382]				)

		UpperCAmelCase_												=      tokenizer.tokenize("I was born in 92000, and this is falsé."				)
		self.assertListEqual(
		    SCREAMING_SNAKE_CASE__		,						[
		        SPIECE_UNDERLINE + "I",
		        SPIECE_UNDERLINE + "was",
		        SPIECE_UNDERLINE + "b",
		        "or",
		        "n",
		        SPIECE_UNDERLINE + "in",
		        SPIECE_UNDERLINE + "",
		        "9",
		        "2",
		        "0",
		        "0",
		        "0",
		        ",",
		        SPIECE_UNDERLINE + "and",
		        SPIECE_UNDERLINE + "this",
		        SPIECE_UNDERLINE + "is",
		        SPIECE_UNDERLINE + "f",
		        "al",
		        "s",
		        "é",
		        ".",
		    ]		,						)
		UpperCAmelCase_												=      tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__				)
		self.assertListEqual(SCREAMING_SNAKE_CASE__		,						[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]				)

		UpperCAmelCase_												=      tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__				)
		self.assertListEqual(
		    SCREAMING_SNAKE_CASE__		,						[
		        SPIECE_UNDERLINE + "I",
		        SPIECE_UNDERLINE + "was",
		        SPIECE_UNDERLINE + "b",
		        "or",
		        "n",
		        SPIECE_UNDERLINE + "in",
		        SPIECE_UNDERLINE + "",
		        "<unk>",
		        "2",
		        "0",
		        "0",
		        "0",
		        ",",
		        SPIECE_UNDERLINE + "and",
		        SPIECE_UNDERLINE + "this",
		        SPIECE_UNDERLINE + "is",
		        SPIECE_UNDERLINE + "f",
		        "al",
		        "s",
		        "<unk>",
		        ".",
		    ]		,						)




	def    __A       (		self						:    str				):


		'''simple docstring'''







		UpperCAmelCase_												=      XLNetTokenizer(SCREAMING_SNAKE_CASE__		,						do_lower_case=SCREAMING_SNAKE_CASE__				)
		UpperCAmelCase_												=      tokenizer.tokenize("I was born in 92000, and this is falsé."				)
		self.assertListEqual(
		    SCREAMING_SNAKE_CASE__		,						[
		        SPIECE_UNDERLINE + "",
		        "i",
		        SPIECE_UNDERLINE + "was",
		        SPIECE_UNDERLINE + "b",
		        "or",
		        "n",
		        SPIECE_UNDERLINE + "in",
		        SPIECE_UNDERLINE + "",
		        "9",
		        "2",
		        "0",
		        "0",
		        "0",
		        ",",
		        SPIECE_UNDERLINE + "and",
		        SPIECE_UNDERLINE + "this",
		        SPIECE_UNDERLINE + "is",
		        SPIECE_UNDERLINE + "f",
		        "al",
		        "se",
		        ".",
		    ]		,						)
		self.assertListEqual(tokenizer.tokenize("H\u00E9llo"				)		,						["▁he", "ll", "o"]				)




	def    __A       (		self						:    Optional[int]				):


		'''simple docstring'''







		UpperCAmelCase_												=      XLNetTokenizer(SCREAMING_SNAKE_CASE__		,						do_lower_case=SCREAMING_SNAKE_CASE__				)
		UpperCAmelCase_												=      tokenizer.tokenize("I was born in 92000, and this is falsé."				)
		self.assertListEqual(
		    SCREAMING_SNAKE_CASE__		,						[
		        SPIECE_UNDERLINE + "I",
		        SPIECE_UNDERLINE + "was",
		        SPIECE_UNDERLINE + "b",
		        "or",
		        "n",
		        SPIECE_UNDERLINE + "in",
		        SPIECE_UNDERLINE + "",
		        "9",
		        "2",
		        "0",
		        "0",
		        "0",
		        ",",
		        SPIECE_UNDERLINE + "and",
		        SPIECE_UNDERLINE + "this",
		        SPIECE_UNDERLINE + "is",
		        SPIECE_UNDERLINE + "f",
		        "al",
		        "se",
		        ".",
		    ]		,						)




	@slow
	def    __A       (		self						:    Optional[int]				):


		'''simple docstring'''







		UpperCAmelCase_												=      XLNetTokenizer.from_pretrained("xlnet-base-cased"				)

		UpperCAmelCase_												=      tokenizer.encode("sequence builders"		,						add_special_tokens=SCREAMING_SNAKE_CASE__				)
		UpperCAmelCase_												=      tokenizer.encode("multi-sequence build"		,						add_special_tokens=SCREAMING_SNAKE_CASE__				)

		UpperCAmelCase_												=      tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__				)
		UpperCAmelCase_												=      tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__				)

		assert encoded_sentence == text + [4, 3]
		assert encoded_pair == text + [4] + text_a + [4, 3]




	@slow
	def    __A       (		self						:    List[str]				):


		'''simple docstring'''







		UpperCAmelCase_												=      {"input_ids": [[17, 21_442, 270, 17, 10, 14_645, 318, 34, 17, 4_546, 3_145, 787, 13, 7_752, 22_018, 23, 21, 17, 4_546, 3_145, 787, 13, 3_352, 14_431, 13, 5_500, 11, 1_176, 580, 13, 16_819, 4_797, 23, 17, 10, 17_135, 658, 19, 457, 7_932, 13, 184, 19, 3_154, 17_135, 6_468, 19, 1_404, 12_269, 19, 4_229, 5_356, 16_264, 46, 19, 17, 20_545, 10_395, 9, 9, 9, 11, 28, 6_421, 9_531, 20_729, 17, 10, 353, 17_022, 11, 21, 6_421, 9_531, 16_949, 17, 10, 11_509, 753, 11, 33, 95, 2_421, 7_385, 956, 14_431, 2_626, 25, 842, 7_385, 4_836, 21, 1_429, 2_272, 9_855, 3_120, 161, 24_738, 19, 13_203, 658, 218, 787, 21, 430, 18_482, 847, 2_637, 9, 4, 3], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 322, 22_178, 27, 1_064, 22, 956, 13, 11_101, 1_429, 5_854, 24_313, 18_953, 40, 422, 24_366, 68, 1_758, 37, 10_483, 14_257, 31, 207, 263, 21, 203, 3_773, 25, 71, 9_735, 9, 4, 3], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 32, 2_049, 3_442, 17, 13_894, 3_380, 23, 95, 18, 17_634, 2_288, 9, 4, 3]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
		# fmt: on

		self.tokenizer_integration_test_util(
		    expected_encoding=SCREAMING_SNAKE_CASE__		,						model_name="xlnet-base-cased"		,						revision="c841166438c31ec7ca9a106dee7bb312b73ae511"		,						)

from dataclasses import dataclass
from typing import Optional, Tuple, Union

import flax
import jax.numpy as jnp
from jax import random

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.struct.dataclass
class       _lowerCAmelCase  :

 """simple docstring"""
 # setable values
 SCREAMING_SNAKE_CASE_				:					Optional[int]       						=None
 SCREAMING_SNAKE_CASE_				:					Optional[jnp.ndarray]       						=None
 SCREAMING_SNAKE_CASE_				:					Optional[jnp.ndarray]       						=None  # sigma(t_i)

 @classmethod
 def      __lowerCAmelCase  (						cls			:			Optional[Any]   ):






      """simple docstring"""



      return cls()




@dataclass
class       _lowerCAmelCase  (		__magic_name__							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					jnp.ndarray
 SCREAMING_SNAKE_CASE_				:					jnp.ndarray
 SCREAMING_SNAKE_CASE_				:					KarrasVeSchedulerState




class       _lowerCAmelCase  (		__magic_name__			,	__magic_name__							):

 """simple docstring"""

 @property
 def      __lowerCAmelCase  (						self			:			Any   ):






      """simple docstring"""



      return True

 @register_to_config
 def __init__(						self			:			Dict					, SCREAMING_SNAKE_CASE__			:			float = 0.02					, SCREAMING_SNAKE_CASE__			:			float = 1_00					, SCREAMING_SNAKE_CASE__			:			float = 1.007					, SCREAMING_SNAKE_CASE__			:			float = 80					, SCREAMING_SNAKE_CASE__			:			float = 0.05					, SCREAMING_SNAKE_CASE__			:			float = 50					, ):






      """simple docstring"""



      pass

 def      __lowerCAmelCase  (						self			:			int   ):






      """simple docstring"""



      return KarrasVeSchedulerState.create()

 def      __lowerCAmelCase  (						self			:			Union[str, Any]					, SCREAMING_SNAKE_CASE__			:			KarrasVeSchedulerState					, SCREAMING_SNAKE_CASE__			:			int					, SCREAMING_SNAKE_CASE__			:			Tuple = ()   ):






      """simple docstring"""



      UpperCamelCase						    =					jnp.arange(0					, SCREAMING_SNAKE_CASE__   )[::-1].copy()
      UpperCamelCase						    =					[
          (
              self.config.sigma_max**2
              * (self.config.sigma_min**2 / self.config.sigma_max**2) ** (i / (num_inference_steps - 1))
          )
          for i in timesteps
      ]

      return state.replace(
          num_inference_steps=SCREAMING_SNAKE_CASE__					, schedule=jnp.array(SCREAMING_SNAKE_CASE__					, dtype=jnp.floataa   )					, timesteps=SCREAMING_SNAKE_CASE__					, )

 def      __lowerCAmelCase  (						self			:			List[Any]					, SCREAMING_SNAKE_CASE__			:			KarrasVeSchedulerState					, SCREAMING_SNAKE_CASE__			:			jnp.ndarray					, SCREAMING_SNAKE_CASE__			:			float					, SCREAMING_SNAKE_CASE__			:			random.KeyArray					, ):






      """simple docstring"""



      if self.config.s_min <= sigma <= self.config.s_max:
           UpperCamelCase						    =					min(self.config.s_churn / state.num_inference_steps					, 2**0.5 - 1   )
      else:
           UpperCamelCase						    =					0

      # sample eps ~ N(0, S_noise^2 * I)
      UpperCamelCase						    =					random.split(SCREAMING_SNAKE_CASE__					, num=1   )
      UpperCamelCase						    =					self.config.s_noise * random.normal(key=SCREAMING_SNAKE_CASE__					, shape=sample.shape   )
      UpperCamelCase						    =					sigma + gamma * sigma
      UpperCamelCase						    =					sample + ((sigma_hat**2 - sigma**2) ** 0.5 * eps)

      return sample_hat, sigma_hat

 def      __lowerCAmelCase  (						self			:			Optional[int]					, SCREAMING_SNAKE_CASE__			:			KarrasVeSchedulerState					, SCREAMING_SNAKE_CASE__			:			jnp.ndarray					, SCREAMING_SNAKE_CASE__			:			float					, SCREAMING_SNAKE_CASE__			:			float					, SCREAMING_SNAKE_CASE__			:			jnp.ndarray					, SCREAMING_SNAKE_CASE__			:			bool = True					, ):






      """simple docstring"""



      UpperCamelCase						    =					sample_hat + sigma_hat * model_output
      UpperCamelCase						    =					(sample_hat - pred_original_sample) / sigma_hat
      UpperCamelCase						    =					sample_hat + (sigma_prev - sigma_hat) * derivative

      if not return_dict:
           return (sample_prev, derivative, state)

      return FlaxKarrasVeOutput(prev_sample=SCREAMING_SNAKE_CASE__					, derivative=SCREAMING_SNAKE_CASE__					, state=SCREAMING_SNAKE_CASE__   )

 def      __lowerCAmelCase  (						self			:			Tuple					, SCREAMING_SNAKE_CASE__			:			KarrasVeSchedulerState					, SCREAMING_SNAKE_CASE__			:			jnp.ndarray					, SCREAMING_SNAKE_CASE__			:			float					, SCREAMING_SNAKE_CASE__			:			float					, SCREAMING_SNAKE_CASE__			:			jnp.ndarray					, SCREAMING_SNAKE_CASE__			:			jnp.ndarray					, SCREAMING_SNAKE_CASE__			:			jnp.ndarray					, SCREAMING_SNAKE_CASE__			:			bool = True					, ):






      """simple docstring"""



      UpperCamelCase						    =					sample_prev + sigma_prev * model_output
      UpperCamelCase						    =					(sample_prev - pred_original_sample) / sigma_prev
      UpperCamelCase						    =					sample_hat + (sigma_prev - sigma_hat) * (0.5 * derivative + 0.5 * derivative_corr)

      if not return_dict:
           return (sample_prev, derivative, state)

      return FlaxKarrasVeOutput(prev_sample=SCREAMING_SNAKE_CASE__					, derivative=SCREAMING_SNAKE_CASE__					, state=SCREAMING_SNAKE_CASE__   )






 def      __lowerCAmelCase  (						self			:			Any					, SCREAMING_SNAKE_CASE__			:			KarrasVeSchedulerState					, SCREAMING_SNAKE_CASE__			:			Any					, SCREAMING_SNAKE_CASE__			:			str					, SCREAMING_SNAKE_CASE__			:			int   ):






      """simple docstring"""



      raise NotImplementedError()


