


import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A	:		Dict    =       logging.get_logger(__name__)

A	:		List[str]    =       {'vocab_file': 'sentencepiece.bpe.model'}

A	:		List[str]    =       {
    'vocab_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'
        ),
    },
}

A	:		Optional[Any]    =       {
    'moussaKam/mbarthez': 1_0_2_4,
    'moussaKam/barthez': 1_0_2_4,
    'moussaKam/barthez-orangesum-title': 1_0_2_4,
}

A	:		Dict    =       '▁'



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			VOCAB_FILES_NAMES
					A__      =			PRETRAINED_VOCAB_FILES_MAP
					A__      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A__      =			['''input_ids''', '''attention_mask''']

					def __init__(self   :						Optional[int]				, _UpperCAmelCase   :						List[str]				, _UpperCAmelCase   :						Optional[int]="<s>"				, _UpperCAmelCase   :						List[str]="</s>"				, _UpperCAmelCase   :						Optional[Any]="</s>"				, _UpperCAmelCase   :						int="<s>"				, _UpperCAmelCase   :						List[Any]="<unk>"				, _UpperCAmelCase   :						Tuple="<pad>"				, _UpperCAmelCase   :						Tuple="<mask>"				, _UpperCAmelCase   :						Optional[Dict[str, Any]] = None				, **_UpperCAmelCase   :						str				, )						->       None:




							"""simple docstring"""


							lowercase__					      =		AddedToken(_UpperCAmelCase				, lstrip=_UpperCAmelCase				, rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase				, _UpperCAmelCase		) else mask_token

							lowercase__					      =		{} if sp_model_kwargs is None else sp_model_kwargs

							super().__init__(
							    bos_token=_UpperCAmelCase				, eos_token=_UpperCAmelCase				, unk_token=_UpperCAmelCase				, sep_token=_UpperCAmelCase				, cls_token=_UpperCAmelCase				, pad_token=_UpperCAmelCase				, mask_token=_UpperCAmelCase				, sp_model_kwargs=self.sp_model_kwargs				, **_UpperCAmelCase				, )

							lowercase__					      =		vocab_file
							lowercase__					      =		spm.SentencePieceProcessor(**self.sp_model_kwargs		)
							self.sp_model.Load(str(_UpperCAmelCase		)		)

							lowercase__					      =		{"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

							lowercase__					      =		len(self.sp_model		) - 1
							lowercase__					      =		{v: k for k, v in self.fairseq_tokens_to_ids.items()}

					def   lowerCamelCase__					(self   :						str				, _UpperCAmelCase   :						List[int]				, _UpperCAmelCase   :						Optional[List[int]] = None		)						->       List[int]:




							"""simple docstring"""


							if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							lowercase__					      =		[self.cls_token_id]
							lowercase__					      =		[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep

					def   lowerCamelCase__					(self   :						Optional[int]				, _UpperCAmelCase   :						List[int]				, _UpperCAmelCase   :						Optional[List[int]] = None				, _UpperCAmelCase   :						bool = False		)						->       List[int]:




							"""simple docstring"""


							if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=_UpperCAmelCase				, token_ids_a=_UpperCAmelCase				, already_has_special_tokens=_UpperCAmelCase		)

							if token_ids_a is None:
									return [1] + ([0] * len(_UpperCAmelCase		)) + [1]
							return [1] + ([0] * len(_UpperCAmelCase		)) + [1, 1] + ([0] * len(_UpperCAmelCase		)) + [1]

					def   lowerCamelCase__					(self   :						List[Any]				, _UpperCAmelCase   :						List[int]				, _UpperCAmelCase   :						Optional[List[int]] = None		)						->       List[int]:




							"""simple docstring"""


							lowercase__					      =		[self.sep_token_id]
							lowercase__					      =		[self.cls_token_id]

							if token_ids_a is None:
									return len(cls + token_ids_a + sep		) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep		) * [0]

					@property
					def   lowerCamelCase__					(self   :						List[Any]		)						->       Dict:




							"""simple docstring"""


							return len(self.sp_model		)

					def   lowerCamelCase__					(self   :						Dict		)						->       List[Any]:




							"""simple docstring"""


							lowercase__					      =		{self.convert_ids_to_tokens(_UpperCAmelCase		): i for i in range(self.vocab_size		)}
							vocab.update(self.added_tokens_encoder		)
							return vocab

					def   lowerCamelCase__					(self   :						List[Any]				, _UpperCAmelCase   :						str		)						->       List[str]:




							"""simple docstring"""


							return self.sp_model.encode(_UpperCAmelCase				, out_type=_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						str				, _UpperCAmelCase   :						Optional[int]		)						->       str:




							"""simple docstring"""


							if token in self.fairseq_tokens_to_ids:
									return self.fairseq_tokens_to_ids[token]
							lowercase__					      =		self.sp_model.PieceToId(_UpperCAmelCase		)

							return spm_id if spm_id else self.unk_token_id

					def   lowerCamelCase__					(self   :						Union[str, Any]				, _UpperCAmelCase   :						Union[str, Any]		)						->       Dict:




							"""simple docstring"""


							if index in self.fairseq_ids_to_tokens:
									return self.fairseq_ids_to_tokens[index]
							return self.sp_model.IdToPiece(_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						str				, _UpperCAmelCase   :						Any		)						->       Dict:




							"""simple docstring"""


							lowercase__					      =		[]
							lowercase__					      =		""""""
							lowercase__					      =		False
							for token in tokens:
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
											if not prev_is_special:
													out_string += " "
											out_string += self.sp_model.decode(_UpperCAmelCase		) + token
											lowercase__					      =		True
											lowercase__					      =		[]
									else:
											current_sub_tokens.append(_UpperCAmelCase		)
											lowercase__					      =		False
							out_string += self.sp_model.decode(_UpperCAmelCase		)
							return out_string.strip()

					def __getstate__(self   :						List[Any]		)						->       Any:




							"""simple docstring"""


							lowercase__					      =		self.__dict__.copy()
							lowercase__					      =		None
							return state

					def __setstate__(self   :						Union[str, Any]				, _UpperCAmelCase   :						Union[str, Any]		)						->       List[Any]:




							"""simple docstring"""


							lowercase__					      =		d

							# for backward compatibility
							if not hasattr(self				, """sp_model_kwargs"""		):
									lowercase__					      =		{}

							lowercase__					      =		spm.SentencePieceProcessor(**self.sp_model_kwargs		)
							self.sp_model.Load(self.vocab_file		)


					def   lowerCamelCase__					(self   :						str				, _UpperCAmelCase   :						str				, _UpperCAmelCase   :						Optional[str] = None		)						->       Tuple[str]:




							"""simple docstring"""


							if not os.path.isdir(_UpperCAmelCase		):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
									return
							lowercase__					      =		os.path.join(
							    _UpperCAmelCase				, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)

							if os.path.abspath(self.vocab_file		) != os.path.abspath(_UpperCAmelCase		) and os.path.isfile(self.vocab_file		):
									copyfile(self.vocab_file				, _UpperCAmelCase		)
							elif not os.path.isfile(self.vocab_file		):
									with open(_UpperCAmelCase				, """wb"""		) as fi:
											lowercase__					      =		self.sp_model.serialized_model_proto()
											fi.write(_UpperCAmelCase		)

							return (out_vocab_file,)





import gc
import unittest

from parameterized import parameterized

from diffusers import FlaxUNetaDConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow


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



@slow
@require_flax
class 							A   (	unittest.TestCase							):
					'''simple docstring'''






					def   lowerCamelCase__					(self   :						Any				, _UpperCAmelCase   :						List[str]				, _UpperCAmelCase   :						Union[str, Any]		)						->       int:




							"""simple docstring"""


							return f'''gaussian_noise_s={seed}_shape={"_".join([str(_UpperCAmelCase		) for s in shape]		)}.npy'''

					def   lowerCamelCase__					(self   :						Any		)						->       int:




							"""simple docstring"""


							super().tearDown()
							gc.collect()

					def   lowerCamelCase__					(self   :						List[Any]				, _UpperCAmelCase   :						Any=0				, _UpperCAmelCase   :						Optional[Any]=(4, 4, 64, 64)				, _UpperCAmelCase   :						Any=False		)						->       List[Any]:




							"""simple docstring"""


							lowercase__					      =		jnp.bfloataa if fpaa else jnp.floataa
							lowercase__					      =		jnp.array(load_hf_numpy(self.get_file_format(_UpperCAmelCase				, _UpperCAmelCase		)		)				, dtype=_UpperCAmelCase		)
							return image

					def   lowerCamelCase__					(self   :						Optional[Any]				, _UpperCAmelCase   :						str=False				, _UpperCAmelCase   :						str="CompVis/stable-diffusion-v1-4"		)						->       Dict:




							"""simple docstring"""


							lowercase__					      =		jnp.bfloataa if fpaa else jnp.floataa
							lowercase__					      =		"""bf16""" if fpaa else None

							lowercase__      ,     lowercase__					      =		FlaxUNetaDConditionModel.from_pretrained(
							    _UpperCAmelCase				, subfolder="""unet"""				, dtype=_UpperCAmelCase				, revision=_UpperCAmelCase		)
							return model, params

					def   lowerCamelCase__					(self   :						List[Any]				, _UpperCAmelCase   :						int=0				, _UpperCAmelCase   :						Optional[int]=(4, 77, 768)				, _UpperCAmelCase   :						Any=False		)						->       Optional[Any]:




							"""simple docstring"""


							lowercase__					      =		jnp.bfloataa if fpaa else jnp.floataa
							lowercase__					      =		jnp.array(load_hf_numpy(self.get_file_format(_UpperCAmelCase				, _UpperCAmelCase		)		)				, dtype=_UpperCAmelCase		)
							return hidden_states

					@parameterized.expand(
					    [
					        # fmt: off
					        [83, 4, [-0.2_323, -0.1_304, 0.0_813, -0.3_093, -0.0_919, -0.1_571, -0.1_125, -0.5_806]],
					        [17, 0.55, [-0.0_831, -0.2_443, 0.0_901, -0.0_919, 0.3_396, 0.0_103, -0.3_743, 0.0_701]],
					        [8, 0.89, [-0.4_863, 0.0_859, 0.0_875, -0.1_658, 0.9_199, -0.0_114, 0.4_839, 0.4_639]],
					        [3, 1000, [-0.5_649, 0.2_402, -0.5_518, 0.1_248, 1.1_328, -0.2_443, -0.0_325, -1.0_078]],
					        # fmt: on
					    ]		)
					def   lowerCamelCase__					(self   :						int				, _UpperCAmelCase   :						str				, _UpperCAmelCase   :						Union[str, Any]				, _UpperCAmelCase   :						int		)						->       str:




							"""simple docstring"""


							lowercase__      ,     lowercase__					      =		self.get_unet_model(model_id="""CompVis/stable-diffusion-v1-4"""				, fpaa=_UpperCAmelCase		)
							lowercase__					      =		self.get_latents(_UpperCAmelCase				, fpaa=_UpperCAmelCase		)
							lowercase__					      =		self.get_encoder_hidden_states(_UpperCAmelCase				, fpaa=_UpperCAmelCase		)

							lowercase__					      =		model.apply(
							    {"""params""": params}				, _UpperCAmelCase				, jnp.array(_UpperCAmelCase				, dtype=jnp.intaa		)				, encoder_hidden_states=_UpperCAmelCase				, ).sample

							assert sample.shape == latents.shape

							lowercase__					      =		jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())		)				, dtype=jnp.floataa		)
							lowercase__					      =		jnp.array(_UpperCAmelCase				, dtype=jnp.floataa		)

							# Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, in the same hardware
							assert jnp.allclose(_UpperCAmelCase				, _UpperCAmelCase				, atol=1E-2		)


					@parameterized.expand(
					    [
					        # fmt: off
					        [83, 4, [0.1_514, 0.0_807, 0.1_624, 0.1_016, -0.1_896, 0.0_263, 0.0_677, 0.2_310]],
					        [17, 0.55, [0.1_164, -0.0_216, 0.0_170, 0.1_589, -0.3_120, 0.1_005, -0.0_581, -0.1_458]],
					        [8, 0.89, [-0.1_758, -0.0_169, 0.1_004, -0.1_411, 0.1_312, 0.1_103, -0.1_996, 0.2_139]],
					        [3, 1000, [0.1_214, 0.0_352, -0.0_731, -0.1_562, -0.0_994, -0.0_906, -0.2_340, -0.0_539]],
					        # fmt: on
					    ]		)
					def   lowerCamelCase__					(self   :						Optional[Any]				, _UpperCAmelCase   :						Tuple				, _UpperCAmelCase   :						int				, _UpperCAmelCase   :						List[str]		)						->       str:




							"""simple docstring"""


							lowercase__      ,     lowercase__					      =		self.get_unet_model(model_id="""stabilityai/stable-diffusion-2"""				, fpaa=_UpperCAmelCase		)
							lowercase__					      =		self.get_latents(_UpperCAmelCase				, shape=(4, 4, 96, 96)				, fpaa=_UpperCAmelCase		)
							lowercase__					      =		self.get_encoder_hidden_states(_UpperCAmelCase				, shape=(4, 77, 1024)				, fpaa=_UpperCAmelCase		)

							lowercase__					      =		model.apply(
							    {"""params""": params}				, _UpperCAmelCase				, jnp.array(_UpperCAmelCase				, dtype=jnp.intaa		)				, encoder_hidden_states=_UpperCAmelCase				, ).sample

							assert sample.shape == latents.shape

							lowercase__					      =		jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())		)				, dtype=jnp.floataa		)
							lowercase__					      =		jnp.array(_UpperCAmelCase				, dtype=jnp.floataa		)

							# Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, on the same hardware
							assert jnp.allclose(_UpperCAmelCase				, _UpperCAmelCase				, atol=1E-2		)

