

"""simple docstring"""





import os
import shutil
from pathlib import Path
from typing import Optional, Union

import numpy as np
from huggingface_hub import hf_hub_download

from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging


if is_onnx_available():
							import onnxruntime as ort


__UpperCamelCase    : int				 =						logging.get_logger(__name__)

__UpperCamelCase    : Optional[Any]				 =						{
    '''tensor(bool)''': np.bool_,
    '''tensor(int8)''': np.inta,
    '''tensor(uint8)''': np.uinta,
    '''tensor(int16)''': np.intaa,
    '''tensor(uint16)''': np.uintaa,
    '''tensor(int32)''': np.intaa,
    '''tensor(uint32)''': np.uintaa,
    '''tensor(int64)''': np.intaa,
    '''tensor(uint64)''': np.uintaa,
    '''tensor(float16)''': np.floataa,
    '''tensor(float)''': np.floataa,
    '''tensor(double)''': np.floataa,
}







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					def __init__(			self     :							Optional[Any]  ,lowercase_     :							Union[str, Any]=None  ,**lowercase_     :							List[str]						):
						logger.info('''`diffusers.OnnxRuntimeModel` is experimental and might change in the future.'''						)
						lowerCAmelCase__      :		List[str]    							=      model
						lowerCAmelCase__      :		Optional[Any]    							=      kwargs.get('''model_save_dir'''  ,lowercase_						)
						lowerCAmelCase__      :		str    							=      kwargs.get('''latest_model_name'''  ,lowercase_						)







					def __call__(			self     :							Any  ,**lowercase_     :							Dict						):
						lowerCAmelCase__      :		List[Any]    							=      {k: np.array(lowercase_						) for k, v in kwargs.items()}
						return self.model.run(lowercase_  ,lowercase_						)







					@staticmethod
					def 			__lowerCAmelCase					(			lowercase_     :							Union[str, Path]  ,lowercase_     :							str=None  ,lowercase_     :							str=None						):
						if provider is None:
							logger.info('''No onnxruntime provider specified, using CPUExecutionProvider'''						)
							lowerCAmelCase__      :		Optional[Any]    							=      '''CPUExecutionProvider'''

						return ort.InferenceSession(lowercase_  ,providers=[provider]  ,sess_options=lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Union[str, Path]  ,lowercase_     :							Optional[str] = None  ,**lowercase_     :							str						):
						lowerCAmelCase__      :		Any    							=      file_name if file_name is not None else ONNX_WEIGHTS_NAME

						lowerCAmelCase__      :		Tuple    							=      self.model_save_dir.joinpath(self.latest_model_name						)
						lowerCAmelCase__      :		List[Any]    							=      Path(lowercase_						).joinpath(lowercase_						)
						try:
							shutil.copyfile(lowercase_  ,lowercase_						)
						except shutil.SameFileError:
							pass

						# copy external weights (for models >2GB)
						lowerCAmelCase__      :		Dict    							=      self.model_save_dir.joinpath(lowercase_						)
						if src_path.exists():
							lowerCAmelCase__      :		Union[str, Any]    							=      Path(lowercase_						).joinpath(lowercase_						)
							try:
								shutil.copyfile(lowercase_  ,lowercase_						)
							except shutil.SameFileError:
								pass







					def 			__lowerCAmelCase					(			self     :							Optional[int]  ,lowercase_     :							Union[str, os.PathLike]  ,**lowercase_     :							Union[str, Any]  ,):
						if os.path.isfile(lowercase_						):
							logger.error(F'Provided path ({save_directory}) should be a directory, not a file'						)
							return

						os.makedirs(lowercase_  ,exist_ok=lowercase_						)

						# saving model weights/files
						self._save_pretrained(lowercase_  ,**lowercase_						)







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							Dict  ,lowercase_     :							Union[str, Path]  ,lowercase_     :							Optional[Union[bool, str, None]] = None  ,lowercase_     :							Optional[Union[str, None]] = None  ,lowercase_     :							bool = False  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional["ort.SessionOptions"] = None  ,**lowercase_     :							Optional[int]  ,):
						lowerCAmelCase__      :		Optional[Any]    							=      file_name if file_name is not None else ONNX_WEIGHTS_NAME
						# load model from local directory
						if os.path.isdir(lowercase_						):
							lowerCAmelCase__      :		str    							=      OnnxRuntimeModel.load_model(
							    os.path.join(lowercase_  ,lowercase_						)  ,provider=lowercase_  ,sess_options=lowercase_						)
							lowerCAmelCase__      :		Any    							=      Path(lowercase_						)
						# load model from hub
						else:
							# download model
							lowerCAmelCase__      :		Optional[Any]    							=      hf_hub_download(
							    repo_id=lowercase_  ,filename=lowercase_  ,use_auth_token=lowercase_  ,revision=lowercase_  ,cache_dir=lowercase_  ,force_download=lowercase_  ,)
							lowerCAmelCase__      :		str    							=      Path(lowercase_						).parent
							lowerCAmelCase__      :		Union[str, Any]    							=      Path(lowercase_						).name
							lowerCAmelCase__      :		Optional[Any]    							=      OnnxRuntimeModel.load_model(lowercase_  ,provider=lowercase_  ,sess_options=lowercase_						)
						return cls(model=lowercase_  ,**lowercase_						)







					@classmethod
					def 			__lowerCAmelCase					(			cls     :							Any  ,lowercase_     :							Union[str, Path]  ,lowercase_     :							bool = True  ,lowercase_     :							Optional[str] = None  ,lowercase_     :							Optional[str] = None  ,**lowercase_     :							Any  ,):
						lowerCAmelCase__      :		Union[str, Any]    							=      None
						if len(str(lowercase_						).split('''@'''						)						) == 2:
							lowerCAmelCase__							,lowerCAmelCase__      :		str    							=      model_id.split('''@'''						)

						return cls._from_pretrained(
						    model_id=lowercase_  ,revision=lowercase_  ,cache_dir=lowercase_  ,force_download=lowercase_  ,use_auth_token=lowercase_  ,**lowercase_  ,)







"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


__UpperCamelCase    : List[Any]				 =						logging.get_logger(__name__)

__UpperCamelCase    : Dict				 =						{'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__UpperCamelCase    : List[Any]				 =						{
    '''vocab_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'''
        ),
        '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt''',
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json''',
        '''distilbert-base-uncased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json''',
        '''distilbert-base-cased-distilled-squad''': (
            '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-german-cased''': (
            '''https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'''
        ),
        '''distilbert-base-multilingual-cased''': (
            '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'''
        ),
    },
}

__UpperCamelCase    : Union[str, Any]				 =						{
    '''distilbert-base-uncased''': 5_1_2,
    '''distilbert-base-uncased-distilled-squad''': 5_1_2,
    '''distilbert-base-cased''': 5_1_2,
    '''distilbert-base-cased-distilled-squad''': 5_1_2,
    '''distilbert-base-german-cased''': 5_1_2,
    '''distilbert-base-multilingual-cased''': 5_1_2,
}


__UpperCamelCase    : int				 =						{
    '''distilbert-base-uncased''': {'''do_lower_case''': True},
    '''distilbert-base-uncased-distilled-squad''': {'''do_lower_case''': True},
    '''distilbert-base-cased''': {'''do_lower_case''': False},
    '''distilbert-base-cased-distilled-squad''': {'''do_lower_case''': False},
    '''distilbert-base-german-cased''': {'''do_lower_case''': False},
    '''distilbert-base-multilingual-cased''': {'''do_lower_case''': False},
}







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					lowercase__												=			VOCAB_FILES_NAMES
					lowercase__												=			PRETRAINED_VOCAB_FILES_MAP
					lowercase__												=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase__												=			PRETRAINED_INIT_CONFIGURATION
					lowercase__												=			["input_ids", "attention_mask"]
					lowercase__												=			DistilBertTokenizer







					def __init__(			self     :							int  ,lowercase_     :							List[str]=None  ,lowercase_     :							int=None  ,lowercase_     :							str=True  ,lowercase_     :							Union[str, Any]="[UNK]"  ,lowercase_     :							List[str]="[SEP]"  ,lowercase_     :							List[str]="[PAD]"  ,lowercase_     :							List[str]="[CLS]"  ,lowercase_     :							List[str]="[MASK]"  ,lowercase_     :							Tuple=True  ,lowercase_     :							Tuple=None  ,**lowercase_     :							str  ,):
						super().__init__(
						    lowercase_  ,tokenizer_file=lowercase_  ,do_lower_case=lowercase_  ,unk_token=lowercase_  ,sep_token=lowercase_  ,pad_token=lowercase_  ,cls_token=lowercase_  ,mask_token=lowercase_  ,tokenize_chinese_chars=lowercase_  ,strip_accents=lowercase_  ,**lowercase_  ,)

						lowerCAmelCase__      :		Tuple    							=      json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
						if (
						    normalizer_state.get('''lowercase'''  ,lowercase_						) != do_lower_case
						    or normalizer_state.get('''strip_accents'''  ,lowercase_						) != strip_accents
						    or normalizer_state.get('''handle_chinese_chars'''  ,lowercase_						) != tokenize_chinese_chars
						):
							lowerCAmelCase__      :		Union[str, Any]    							=      getattr(lowercase_  ,normalizer_state.pop('''type'''						)						)
							lowerCAmelCase__      :		Optional[int]    							=      do_lower_case
							lowerCAmelCase__      :		List[str]    							=      strip_accents
							lowerCAmelCase__      :		int    							=      tokenize_chinese_chars
							lowerCAmelCase__      :		Dict    							=      normalizer_class(**lowercase_						)

						lowerCAmelCase__      :		Tuple    							=      do_lower_case







					def 			__lowerCAmelCase					(			self     :							str  ,lowercase_     :							Tuple  ,lowercase_     :							Optional[Any]=None						):
						lowerCAmelCase__      :		Any    							=      [self.cls_token_id] + token_ids_a + [self.sep_token_id]

						if token_ids_a:
							output += token_ids_a + [self.sep_token_id]

						return output







					def 			__lowerCAmelCase					(			self     :							int  ,lowercase_     :							List[int]  ,lowercase_     :							Optional[List[int]] = None						):
						lowerCAmelCase__      :		Dict    							=      [self.sep_token_id]
						lowerCAmelCase__      :		Dict    							=      [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						) * [0] + len(token_ids_a + sep						) * [1]







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							str  ,lowercase_     :							Optional[str] = None						):
						lowerCAmelCase__      :		Any    							=      self._tokenizer.model.save(lowercase_  ,name=lowercase_						)
						return tuple(lowercase_						)




