





import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class 				_UpperCAmelCase    (    _UpperCamelCase		,    unittest.TestCase    ):

  """simple docstring"""


  a_        = XLMTokenizer
  a_        = False






  def 				lowercase		(				self :		List[str]     )							->						Dict:
     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     __lowerCAmelCase								=	[
         'l',
         'o',
         'w',
         'e',
         'r',
         's',
         't',
         'i',
         'd',
         'n',
         'w</w>',
         'r</w>',
         't</w>',
         'lo',
         'low',
         'er</w>',
         'low</w>',
         'lowest</w>',
         'newer</w>',
         'wider</w>',
         '<unk>',
     ]
     __lowerCAmelCase								=	dict(zip(lowerCAmelCase_					,  range(len(lowerCAmelCase_     )     )     )     )
     __lowerCAmelCase								=	['l o 123', 'lo w 1456', 'e r</w> 1789', '']

     __lowerCAmelCase								=	os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['vocab_file']     )
     __lowerCAmelCase								=	os.path.join(self.tmpdirname					,  VOCAB_FILES_NAMES['merges_file']     )
     with open(self.vocab_file					,  'w'     ) as fp:
        fp.write(json.dumps(lowerCAmelCase_     )     )
     with open(self.merges_file					,  'w'     ) as fp:
        fp.write('\n'.join(lowerCAmelCase_     )     )






  def 				lowercase		(				self :		Union[str, Any]					,  lowerCAmelCase_ :		List[Any]     )							->						List[str]:
     __lowerCAmelCase								=	'lower newer'
     __lowerCAmelCase								=	'lower newer'
     return input_text, output_text






  def 				lowercase		(				self :		Dict     )							->						Optional[int]:
     __lowerCAmelCase								=	XLMTokenizer(self.vocab_file					,  self.merges_file     )

     __lowerCAmelCase								=	'lower'
     __lowerCAmelCase								=	['low', 'er</w>']
     __lowerCAmelCase								=	tokenizer.tokenize(lowerCAmelCase_     )
     self.assertListEqual(lowerCAmelCase_					,  lowerCAmelCase_     )

     __lowerCAmelCase								=	tokens + ['<unk>']
     __lowerCAmelCase								=	[1_4, 1_5, 2_0]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_     )					,  lowerCAmelCase_     )






  @slow
  def 				lowercase		(				self :		int     )							->						List[Any]:
     __lowerCAmelCase								=	XLMTokenizer.from_pretrained('xlm-mlm-en-2048'     )

     __lowerCAmelCase								=	tokenizer.encode('sequence builders'					,  add_special_tokens=lowerCAmelCase_     )
     __lowerCAmelCase								=	tokenizer.encode('multi-sequence build'					,  add_special_tokens=lowerCAmelCase_     )

     __lowerCAmelCase								=	tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_     )
     __lowerCAmelCase								=	tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_					,  lowerCAmelCase_     )

     assert encoded_sentence == [0] + text + [1]
     assert encoded_pair == [0] + text + [1] + text_a + [1]








from ..utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
)


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ..utils.dummy_pt_objects import *  # noqa F403
else:
     from .scheduling_consistency_models import CMStochasticIterativeScheduler
     from .scheduling_ddim import DDIMScheduler
     from .scheduling_ddim_inverse import DDIMInverseScheduler
     from .scheduling_ddim_parallel import DDIMParallelScheduler
     from .scheduling_ddpm import DDPMScheduler
     from .scheduling_ddpm_parallel import DDPMParallelScheduler
     from .scheduling_deis_multistep import DEISMultistepScheduler
     from .scheduling_dpmsolver_multistep import DPMSolverMultistepScheduler
     from .scheduling_dpmsolver_multistep_inverse import DPMSolverMultistepInverseScheduler
     from .scheduling_dpmsolver_singlestep import DPMSolverSinglestepScheduler
     from .scheduling_euler_ancestral_discrete import EulerAncestralDiscreteScheduler
     from .scheduling_euler_discrete import EulerDiscreteScheduler
     from .scheduling_heun_discrete import HeunDiscreteScheduler
     from .scheduling_ipndm import IPNDMScheduler
     from .scheduling_k_dpm_2_ancestral_discrete import KDPMaAncestralDiscreteScheduler
     from .scheduling_k_dpm_2_discrete import KDPMaDiscreteScheduler
     from .scheduling_karras_ve import KarrasVeScheduler
     from .scheduling_pndm import PNDMScheduler
     from .scheduling_repaint import RePaintScheduler
     from .scheduling_sde_ve import ScoreSdeVeScheduler
     from .scheduling_sde_vp import ScoreSdeVpScheduler
     from .scheduling_unclip import UnCLIPScheduler
     from .scheduling_unipc_multistep import UniPCMultistepScheduler
     from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin
     from .scheduling_vq_diffusion import VQDiffusionScheduler

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ..utils.dummy_flax_objects import *  # noqa F403
else:
     from .scheduling_ddim_flax import FlaxDDIMScheduler
     from .scheduling_ddpm_flax import FlaxDDPMScheduler
     from .scheduling_dpmsolver_multistep_flax import FlaxDPMSolverMultistepScheduler
     from .scheduling_karras_ve_flax import FlaxKarrasVeScheduler
     from .scheduling_lms_discrete_flax import FlaxLMSDiscreteScheduler
     from .scheduling_pndm_flax import FlaxPNDMScheduler
     from .scheduling_sde_ve_flax import FlaxScoreSdeVeScheduler
     from .scheduling_utils_flax import (
         FlaxKarrasDiffusionSchedulers,
         FlaxSchedulerMixin,
         FlaxSchedulerOutput,
         broadcast_to_shape_from_left,
     )


try:
     if not (is_torch_available() and is_scipy_available()):
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ..utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
     from .scheduling_lms_discrete import LMSDiscreteScheduler

try:
     if not (is_torch_available() and is_torchsde_available()):
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ..utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
     from .scheduling_dpmsolver_sde import DPMSolverSDEScheduler

