"""simple docstring"""



import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__lowercase		:		Any														=							get_tests_dir("fixtures/spiece.model")



@require_sentencepiece
@require_tokenizers
class      _A	(						_UpperCAmelCase							, unittest.TestCase					):




    """simple docstring"""




    UpperCamelCase_	:					List[Any]							=					DebertaVaTokenizer
    UpperCamelCase_	:					str							=					DebertaVaTokenizerFast
    UpperCamelCase_	:					Dict							=					True
    UpperCamelCase_	:					List[Any]							=					True
    def  lowercase					(		self							:     Tuple    )    ->       List[Any]:
         super().setUp()

         # We have a SentencePiece fixture for testing
         __snake_case				=							DebertaVaTokenizer(A_	,      unk_token='''<unk>'''    )
         tokenizer.save_pretrained(self.tmpdirname    )
    def  lowercase					(		self							:     Optional[Any]	,      A_							:     str    )    ->       Tuple:
         __snake_case				=							'''this is a test'''
         __snake_case				=							'''this is a test'''
         return input_text, output_text
    def  lowercase					(		self							:     Dict    )    ->       Dict:
         __snake_case				=							'''<pad>'''
         __snake_case				=							0

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_    )	,      A_    )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_    )	,      A_    )
    def  lowercase					(		self							:     Dict    )    ->       Optional[int]:
         __snake_case				=							list(self.get_tokenizer().get_vocab().keys()    )
         self.assertEqual(vocab_keys[0]	,      '''<pad>'''    )
         self.assertEqual(vocab_keys[1]	,      '''<unk>'''    )
         self.assertEqual(vocab_keys[-1]	,      '''[PAD]'''    )
         self.assertEqual(len(A_    )	,      30_001    )
    def  lowercase					(		self							:     str    )    ->       int:
         self.assertEqual(self.get_tokenizer().vocab_size	,      30_000    )
    def  lowercase					(		self							:     List[str]    )    ->       List[str]:
         # fmt: off
         __snake_case				=							''' \tHeLLo!how  \n Are yoU?  '''
         __snake_case				=							['''▁hello''', '''!''', '''how''', '''▁are''', '''▁you''', '''?''']
         # fmt: on

         __snake_case				=							DebertaVaTokenizer(A_	,      do_lower_case=A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )

         __snake_case				=							DebertaVaTokenizerFast(A_	,      do_lower_case=A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )
    @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''    )
    def  lowercase					(		self							:     str    )    ->       Tuple:
         pass
    @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''    )
    def  lowercase					(		self							:     Optional[int]    )    ->       List[str]:
         pass
    def  lowercase					(		self							:     List[str]    )    ->       int:
         # fmt: off
         __snake_case				=							'''I was born in 92000, and this is falsé.'''
         __snake_case				=							['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         __snake_case				=							DebertaVaTokenizer(A_	,      split_by_punct=A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )

         __snake_case				=							DebertaVaTokenizerFast(A_	,      split_by_punct=A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )
    def  lowercase					(		self							:     Optional[int]    )    ->       Optional[Any]:
         # fmt: off
         __snake_case				=							'''I was born in 92000, and this is falsé.'''
         __snake_case				=							['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         __snake_case				=							DebertaVaTokenizer(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(tokenizer.encode(A_	,      add_special_tokens=A_    )    )
         self.assertListEqual(A_	,      A_    )

         __snake_case				=							DebertaVaTokenizerFast(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_	,      add_special_tokens=A_    )    )
         self.assertListEqual(A_	,      A_    )
    def  lowercase					(		self							:     Tuple    )    ->       Any:
         # fmt: off
         __snake_case				=							'''I was born in 92000, and this is falsé.'''
         __snake_case				=							['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
         # fmt: on

         __snake_case				=							DebertaVaTokenizer(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )

         __snake_case				=							DebertaVaTokenizerFast(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )
    def  lowercase					(		self							:     Optional[int]    )    ->       int:
         # fmt: off
         __snake_case				=							'''I was born in 92000, and this is falsé.'''
         __snake_case				=							['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         __snake_case				=							DebertaVaTokenizer(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )

         __snake_case				=							DebertaVaTokenizerFast(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )
    def  lowercase					(		self							:     Union[str, Any]    )    ->       Dict:
         # fmt: off
         __snake_case				=							''' \tHeLLo!how  \n Are yoU?  '''
         __snake_case				=							['''▁''', '''<unk>''', '''e''', '''<unk>''', '''o''', '''!''', '''how''', '''▁''', '''<unk>''', '''re''', '''▁yo''', '''<unk>''', '''?''']
         # fmt: on

         __snake_case				=							DebertaVaTokenizer(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )

         __snake_case				=							DebertaVaTokenizerFast(A_	,      do_lower_case=A_	,      split_by_punct=A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_	,      add_special_tokens=A_    )    )

         self.assertListEqual(A_	,      A_    )
    def  lowercase					(		self							:     List[str]    )    ->       List[Any]:
         __snake_case				=							self.get_tokenizer()
         __snake_case				=							self.get_rust_tokenizer()

         __snake_case				=							'''I was born in 92000, and this is falsé.'''

         __snake_case				=							tokenizer.convert_ids_to_tokens(tokenizer.encode(A_	,      add_special_tokens=A_    )    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_	,      add_special_tokens=A_    )    )
         self.assertListEqual(A_	,      A_    )

         __snake_case				=							tokenizer.encode(A_	,      add_special_tokens=A_    )
         __snake_case				=							rust_tokenizer.encode(A_	,      add_special_tokens=A_    )
         self.assertListEqual(A_	,      A_    )

         __snake_case				=							self.get_rust_tokenizer()
         __snake_case				=							tokenizer.encode(A_    )
         __snake_case				=							rust_tokenizer.encode(A_    )
         self.assertListEqual(A_	,      A_    )
    def  lowercase					(		self							:     Optional[int]    )    ->       List[Any]:
         __snake_case				=							'''This is a test'''
         __snake_case				=							[13, 1, 4_398, 25, 21, 1_289]
         __snake_case				=							['''▁''', '''T''', '''his''', '''▁is''', '''▁a''', '''▁test''']
         __snake_case				=							['''▁''', '''<unk>''', '''his''', '''▁is''', '''▁a''', '''▁test''']

         __snake_case				=							DebertaVaTokenizer(A_	,      keep_accents=A_    )
         __snake_case				=							DebertaVaTokenizerFast(A_	,      keep_accents=A_    )

         __snake_case				=							tokenizer.encode(A_	,      add_special_tokens=A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							tokenizer.tokenize(A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(A_    )
         self.assertListEqual(A_	,      A_    )

         __snake_case				=							rust_tokenizer.encode(A_	,      add_special_tokens=A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							rust_tokenizer.tokenize(A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(A_    )
         self.assertListEqual(A_	,      A_    )

         # fmt: off
         __snake_case				=							'''I was born in 92000, and this is falsé.'''
         __snake_case				=							[13, 1, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]
         __snake_case				=							['''▁''', '''I''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''é''', '''.''', ]
         __snake_case				=							['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
         # fmt: on

         __snake_case				=							tokenizer.encode(A_	,      add_special_tokens=A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							tokenizer.tokenize(A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							tokenizer.convert_ids_to_tokens(A_    )
         self.assertListEqual(A_	,      A_    )

         __snake_case				=							rust_tokenizer.encode(A_	,      add_special_tokens=A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							rust_tokenizer.tokenize(A_    )
         self.assertListEqual(A_	,      A_    )
         __snake_case				=							rust_tokenizer.convert_ids_to_tokens(A_    )
         self.assertListEqual(A_	,      A_    )
    def  lowercase					(		self							:     Dict    )    ->       List[Any]:
         __snake_case				=							DebertaVaTokenizer(A_    )

         __snake_case				=							tokenizer.encode('''sequence builders'''    )
         __snake_case				=							tokenizer.encode('''multi-sequence build'''    )

         __snake_case				=							tokenizer.build_inputs_with_special_tokens(A_    )
         __snake_case				=							tokenizer.build_inputs_with_special_tokens(A_	,      A_    )

         self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]	,      A_    )
         self.assertEqual(
             [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]	,      A_	,      )







    @slow
    def  lowercase					(		self							:     List[Any]    )    ->       Tuple:
         # fmt: off
         __snake_case				=							{'''input_ids''': [[1, 39_867, 36, 19_390, 486, 27, 35_052, 81_436, 18, 60_685, 1_225, 7, 35_052, 81_436, 18, 9_367, 16_899, 18, 15_937, 53, 594, 773, 18, 16_287, 30_465, 36, 15_937, 6, 41_139, 38, 36_979, 60_763, 191, 6, 34_132, 99, 6, 50_538, 390, 43_230, 6, 34_132, 2_779, 20_850, 14, 699, 1_072, 1_194, 36, 382, 10_901, 53, 7, 699, 1_072, 2_084, 36, 20_422, 630, 53, 19, 105, 3_049, 1_896, 1_053, 16_899, 1_506, 11, 37_978, 4_243, 7, 1_237, 31_869, 200, 16_566, 654, 6, 35_052, 81_436, 7, 55_630, 13_593, 4, 2], [1, 26, 15_011, 13, 667, 8, 1_053, 18, 23_611, 1_237, 72_356, 12_820, 34, 104_134, 1_209, 35, 13_313, 6_627, 21, 202, 347, 7, 164, 2_399, 11, 46, 4_485, 4, 2, 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, 5, 1_232, 2_864, 15_785, 14_951, 105, 5, 8_581, 1_250, 4, 2, 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]], '''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, 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, 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]], '''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, 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], [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]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=A_	,      model_name='''microsoft/deberta-v2-xlarge'''	,      revision='''ad6e42c1532ddf3a15c39246b63f5559d558b670'''	,      )
"""simple docstring"""



import argparse
from pathlib import Path

import torch
from packaging import version
from torch.onnx import export

from diffusers import AutoencoderKL


__lowercase		:		int														=							version.parse(version.parse(torch.__version__).base_version) < version.parse("1.11")





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case,      snake_case,      snake_case,      snake_case,      snake_case,      snake_case=False,      ):
     output_path.parent.mkdir(parents=snake_case,      exist_ok=snake_case)
     # PyTorch deprecated the `enable_onnx_checker` and `use_external_data_format` arguments in v1.11,
     # so we check the torch version for backwards compatibility
     if is_torch_less_than_1_11:
          export(
              snake_case,      snake_case,      f=output_path.as_posix(),      input_names=snake_case,      output_names=snake_case,      dynamic_axes=snake_case,      do_constant_folding=snake_case,      use_external_data_format=snake_case,      enable_onnx_checker=snake_case,      opset_version=snake_case,      )
     else:
          export(
              snake_case,      snake_case,      f=output_path.as_posix(),      input_names=snake_case,      output_names=snake_case,      dynamic_axes=snake_case,      do_constant_folding=snake_case,      opset_version=snake_case,      )





@torch.no_grad()
def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case,      snake_case = False):
     __snake_case				=							torch.floataa if fpaa else torch.floataa
     if fpaa and torch.cuda.is_available():
          __snake_case				=							'''cuda'''
     elif fpaa and not torch.cuda.is_available():
          raise ValueError('''`float16` model export is only supported on GPUs with CUDA''')
     else:
          __snake_case				=							'''cpu'''
     __snake_case				=							Path(snake_case)

     # VAE DECODER
     __snake_case				=							AutoencoderKL.from_pretrained(model_path + '''/vae''')
     __snake_case				=							vae_decoder.config.latent_channels
     # forward only through the decoder part
     __snake_case				=							vae_decoder.decode
     onnx_export(
         snake_case,      model_args=(
             torch.randn(1,      snake_case,      25,      25).to(device=snake_case,      dtype=snake_case),
             False,
         ),      output_path=output_path / '''vae_decoder''' / '''model.onnx''',      ordered_input_names=['''latent_sample''', '''return_dict'''],      output_names=['''sample'''],      dynamic_axes={
             '''latent_sample''': {0: '''batch''', 1: '''channels''', 2: '''height''', 3: '''width'''},
         },      opset=snake_case,      )
     del vae_decoder


if __name__ == "__main__":
       __lowercase		:		Union[str, Any]														=							argparse.ArgumentParser()

       parser.add_argument(
           "--model_path",
           type=str,
           required=True,
           help="Path to the `diffusers` checkpoint to convert (either a local directory or on the Hub).",
       )

       parser.add_argument("--output_path", type=str, required=True, help="Path to the output model.")
       parser.add_argument(
           "--opset",
           default=14,
           type=int,
           help="The version of the ONNX operator set to use.",
       )
       parser.add_argument("--fp16", action="store_true", default=False, help="Export the models in `float16` mode")

       __lowercase		:		List[Any]														=							parser.parse_args()
       print(args.output_path)
       convert_models(args.model_path, args.output_path, args.opset, args.fpaa)
       print("SD: Done: ONNX")