"""simple docstring"""







import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union

from .. import config
from .filelock import FileLock
from .logging import get_logger


__SCREAMING_SNAKE_CASE    	=get_logger(__name__)







class        UpperCamelCase		:
   def __init__(			self     ,__UpperCamelCase = None			)	->      Tuple:


        '''simple docstring'''


        lowercase_	:				Dict													=	(
            os.path.join(__UpperCamelCase     ,config.EXTRACTED_DATASETS_DIR			) if cache_dir else config.EXTRACTED_DATASETS_PATH
        )
        lowercase_	:				int													=	Extractor
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      str:


        '''simple docstring'''


        from .file_utils import hash_url_to_filename

        # Path where we extract compressed archives
        # We extract in the cache dir, and get the extracted path name by hashing the original path"
        lowercase_	:				Optional[int]													=	os.path.abspath(__UpperCamelCase			)
        return os.path.join(self.extract_dir     ,hash_url_to_filename(__UpperCamelCase			)			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase			)	->      bool:


        '''simple docstring'''


        return force_extract or (
            not os.path.isfile(__UpperCamelCase			) and not (os.path.isdir(__UpperCamelCase			) and os.listdir(__UpperCamelCase			))
        )







   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase = False			)	->      str:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	self.extractor.infer_extractor_format(__UpperCamelCase			)
        if not extractor_format:
             return input_path
        lowercase_	:				Optional[int]													=	self._get_output_path(__UpperCamelCase			)
        if self._do_extract(__UpperCamelCase     ,__UpperCamelCase			):
             self.extractor.extract(__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase			)
        return output_path







class        UpperCamelCase		(			_a  ):
   @classmethod
   @abstractmethod
   def 			_UpperCAmelCase   (			cls     ,__UpperCamelCase     ,**__UpperCamelCase			)	->      bool:


        '''simple docstring'''


        ...







   @staticmethod
   @abstractmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        ...







class        UpperCamelCase		(			_a						,      _a  ):
   lowercase							=  []
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      Optional[int]:


        '''simple docstring'''


        with open(__UpperCamelCase     ,'rb'			) as f:
             return f.read(__UpperCamelCase			)







   @classmethod
   def 			_UpperCAmelCase   (			cls     ,__UpperCamelCase     ,__UpperCamelCase = b""			)	->      bool:


        '''simple docstring'''


        if not magic_number:
             lowercase_	:				Dict													=	max(len(__UpperCamelCase			) for cls_magic_number in cls.magic_numbers			)
             try:
                  lowercase_	:				List[str]													=	cls.read_magic_number(__UpperCamelCase     ,__UpperCamelCase			)
             except OSError:
                  return False
        return any(magic_number.startswith(__UpperCamelCase			) for cls_magic_number in cls.magic_numbers			)







class        UpperCamelCase		(			_a  ):
   @classmethod
   def 			_UpperCAmelCase   (			cls     ,__UpperCamelCase     ,**__UpperCamelCase			)	->      bool:


        '''simple docstring'''


        return tarfile.is_tarfile(__UpperCamelCase			)
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      Dict:


        '''simple docstring'''


        def resolved(__UpperCamelCase			) -> str:
             return os.path.realpath(os.path.abspath(__UpperCamelCase			)			)

        def badpath(__UpperCamelCase     ,__UpperCamelCase			) -> bool:
             # joinpath will ignore base if path is absolute
             return not resolved(os.path.join(__UpperCamelCase     ,__UpperCamelCase			)			).startswith(__UpperCamelCase			)

        def badlink(__UpperCamelCase     ,__UpperCamelCase			) -> bool:
             # Links are interpreted relative to the directory containing the link
             lowercase_	:				Optional[Any]													=	resolved(os.path.join(__UpperCamelCase     ,os.path.dirname(info.name			)			)			)
             return badpath(info.linkname     ,base=__UpperCamelCase			)

        lowercase_	:				Optional[Any]													=	resolved(__UpperCamelCase			)

        for finfo in members:
             if badpath(finfo.name     ,__UpperCamelCase			):
                  logger.error(f'''Extraction of {finfo.name} is blocked (illegal path)'''			)
             elif finfo.issym() and badlink(__UpperCamelCase     ,__UpperCamelCase			):
                  logger.error(f'''Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}'''			)
             elif finfo.islnk() and badlink(__UpperCamelCase     ,__UpperCamelCase			):
                  logger.error(f'''Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}'''			)
             else:
                  yield finfo







   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        os.makedirs(__UpperCamelCase     ,exist_ok=__UpperCamelCase			)
        lowercase_	:				Optional[Any]													=	tarfile.open(__UpperCamelCase			)
        tar_file.extractall(__UpperCamelCase     ,members=TarExtractor.safemembers(__UpperCamelCase     ,__UpperCamelCase			)			)
        tar_file.close()







class        UpperCamelCase		(			_a  ):
   lowercase							=  [B'''\x1F\x8B''']
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        with gzip.open(__UpperCamelCase     ,'rb'			) as gzip_file:
             with open(__UpperCamelCase     ,'wb'			) as extracted_file:
                  shutil.copyfileobj(__UpperCamelCase     ,__UpperCamelCase			)







class        UpperCamelCase		(			_a  ):
   lowercase							=  [
       B'''PK\x03\x04''',
       B'''PK\x05\x06''',  # empty archive
       B'''PK\x07\x08''',  # spanned archive
   ]
   @classmethod
   def 			_UpperCAmelCase   (			cls     ,__UpperCamelCase     ,__UpperCamelCase = b""			)	->      bool:


        '''simple docstring'''


        if super().is_extractable(__UpperCamelCase     ,magic_number=__UpperCamelCase			):
             return True
        try:
             # Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives.
             # From: https://github.com/python/cpython/pull/5053
             from zipfile import (
                 _CD_SIGNATURE,
                 _ECD_DISK_NUMBER,
                 _ECD_DISK_START,
                 _ECD_ENTRIES_TOTAL,
                 _ECD_OFFSET,
                 _ECD_SIZE,
                 _EndRecData,
                 sizeCentralDir,
                 stringCentralDir,
                 structCentralDir,
             )

             with open(__UpperCamelCase     ,'rb'			) as fp:
                  lowercase_	:				int													=	_EndRecData(__UpperCamelCase			)
                  if endrec:
                       if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0:
                            return True  # Empty zipfiles are still zipfiles
                       elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]:
                            fp.seek(endrec[_ECD_OFFSET]			)  # Central directory is on the same disk
                            if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir:
                                 lowercase_	:				Optional[int]													=	fp.read(__UpperCamelCase			)  # CD is where we expect it to be
                                 if len(__UpperCamelCase			) == sizeCentralDir:
                                      lowercase_	:				Any													=	struct.unpack(__UpperCamelCase     ,__UpperCamelCase			)  # CD is the right size
                                      if centdir[_CD_SIGNATURE] == stringCentralDir:
                                           return True  # First central directory entry  has correct magic number
             return False
        except Exception:  # catch all errors in case future python versions change the zipfile internals
             return False







   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        os.makedirs(__UpperCamelCase     ,exist_ok=__UpperCamelCase			)
        with zipfile.ZipFile(__UpperCamelCase     ,'r'			) as zip_file:
             zip_file.extractall(__UpperCamelCase			)
             zip_file.close()







class        UpperCamelCase		(			_a  ):
   lowercase							=  [B'''\xFD\x37\x7A\x58\x5A\x00''']
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        with lzma.open(__UpperCamelCase			) as compressed_file:
             with open(__UpperCamelCase     ,'wb'			) as extracted_file:
                  shutil.copyfileobj(__UpperCamelCase     ,__UpperCamelCase			)







class        UpperCamelCase		(			_a  ):
   lowercase							=  [B'''Rar!\x1a\x07\x00''', B'''Rar!\x1a\x07\x01\x00''']  # RAR_ID  # RAR5_ID
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        if not config.RARFILE_AVAILABLE:
             raise ImportError('Please pip install rarfile'			)
        import rarfile

        os.makedirs(__UpperCamelCase     ,exist_ok=__UpperCamelCase			)
        lowercase_	:				List[Any]													=	rarfile.RarFile(__UpperCamelCase			)
        rf.extractall(__UpperCamelCase			)
        rf.close()







class        UpperCamelCase		(			_a  ):
   lowercase							=  [B'''\x28\xb5\x2F\xFD''']
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        if not config.ZSTANDARD_AVAILABLE:
             raise ImportError('Please pip install zstandard'			)
        import zstandard as zstd

        lowercase_	:				Optional[Any]													=	zstd.ZstdDecompressor()
        with open(__UpperCamelCase     ,'rb'			) as ifh, open(__UpperCamelCase     ,'wb'			) as ofh:
             dctx.copy_stream(__UpperCamelCase     ,__UpperCamelCase			)







class        UpperCamelCase		(			_a  ):
   lowercase							=  [B'''\x42\x5A\x68''']
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        with bza.open(__UpperCamelCase     ,'rb'			) as compressed_file:
             with open(__UpperCamelCase     ,'wb'			) as extracted_file:
                  shutil.copyfileobj(__UpperCamelCase     ,__UpperCamelCase			)







class        UpperCamelCase		(			_a  ):
   lowercase							=  [B'''\x37\x7A\xBC\xAF\x27\x1C''']
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        if not config.PY7ZR_AVAILABLE:
             raise ImportError('Please pip install py7zr'			)
        import pyazr

        os.makedirs(__UpperCamelCase     ,exist_ok=__UpperCamelCase			)
        with pyazr.SevenZipFile(__UpperCamelCase     ,'r'			) as archive:
             archive.extractall(__UpperCamelCase			)







class        UpperCamelCase		(			_a  ):
   lowercase							=  [B'''\x04\x22\x4D\x18''']
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        if not config.LZ4_AVAILABLE:
             raise ImportError('Please pip install lz4'			)
        import lza.frame

        with lza.frame.open(__UpperCamelCase     ,'rb'			) as compressed_file:
             with open(__UpperCamelCase     ,'wb'			) as extracted_file:
                  shutil.copyfileobj(__UpperCamelCase     ,__UpperCamelCase			)







class        UpperCamelCase		:
   #  Put zip file to the last, b/c it is possible wrongly detected as zip (I guess it means: as tar or gzip)
   lowercase							=  {
       "tar": TarExtractor,
       "gzip": GzipExtractor,
       "zip": ZipExtractor,
       "xz": XzExtractor,
       "rar": RarExtractor,
       "zstd": ZstdExtractor,
       "bz2": BzipaExtractor,
       "7z": SevenZipExtractor,  # <Added version="2.4.0"/>
       "lz4": LzaExtractor,  # <Added version="2.4.0"/>
   }
   @classmethod
   def 			_UpperCAmelCase   (			cls			)	->      Any:


        '''simple docstring'''


        return max(
            len(__UpperCamelCase			)
            for extractor in cls.extractors.values()
            if issubclass(__UpperCamelCase     ,__UpperCamelCase			)
            for extractor_magic_number in extractor.magic_numbers			)
   @staticmethod
   def 			_UpperCAmelCase   (			__UpperCamelCase     ,__UpperCamelCase			)	->      Tuple:


        '''simple docstring'''


        try:
             return MagicNumberBaseExtractor.read_magic_number(__UpperCamelCase     ,magic_number_length=__UpperCamelCase			)
        except OSError:
             return b""
   @classmethod
   def 			_UpperCAmelCase   (			cls     ,__UpperCamelCase     ,__UpperCamelCase = False			)	->      bool:


        '''simple docstring'''


        warnings.warn(
            'Method \'is_extractable\' was deprecated in version 2.4.0 and will be removed in 3.0.0. '
            'Use \'infer_extractor_format\' instead.'     ,category=__UpperCamelCase     ,)
        lowercase_	:				Any													=	cls.infer_extractor_format(__UpperCamelCase			)
        if extractor_format:
             return True if not return_extractor else (True, cls.extractors[extractor_format])
        return False if not return_extractor else (False, None)
   @classmethod
   def 			_UpperCAmelCase   (			cls     ,__UpperCamelCase			)	->      str:  # <Added version="2.4.0"/>


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	cls._get_magic_number_max_length()
        lowercase_	:				Optional[int]													=	cls._read_magic_number(__UpperCamelCase     ,__UpperCamelCase			)
        for extractor_format, extractor in cls.extractors.items():
             if extractor.is_extractable(__UpperCamelCase     ,magic_number=__UpperCamelCase			):
                  return extractor_format







   @classmethod
   def 			_UpperCAmelCase   (			cls     ,__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase = None     ,__UpperCamelCase = "deprecated"     ,)	->      None:


        '''simple docstring'''


        os.makedirs(os.path.dirname(__UpperCamelCase			)     ,exist_ok=__UpperCamelCase			)
        # Prevent parallel extractions
        lowercase_	:				Tuple													=	str(Path(__UpperCamelCase			).with_suffix('.lock'			)			)
        with FileLock(__UpperCamelCase			):
             shutil.rmtree(__UpperCamelCase     ,ignore_errors=__UpperCamelCase			)
             if extractor_format or extractor != "deprecated":
                  if extractor != "deprecated" or not isinstance(__UpperCamelCase     ,__UpperCamelCase			):  # passed as positional arg
                       warnings.warn(
                           'Parameter \'extractor\' was deprecated in version 2.4.0 and will be removed in 3.0.0. '
                           'Use \'extractor_format\' instead.'     ,category=__UpperCamelCase     ,)
                       lowercase_	:				Optional[int]													=	extractor if extractor != '''deprecated''' else extractor_format
                  else:
                       lowercase_	:				Any													=	cls.extractors[extractor_format]
                  return extractor.extract(__UpperCamelCase     ,__UpperCamelCase			)
             else:
                  warnings.warn(
                      'Parameter \'extractor_format\' was made required in version 2.4.0 and not passing it will raise an '
                      'exception in 3.0.0.'     ,category=__UpperCamelCase     ,)
                  for extractor in cls.extractors.values():
                       if extractor.is_extractable(__UpperCamelCase			):
                            return extractor.extract(__UpperCamelCase     ,__UpperCamelCase			)








import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory

from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
    convert,
    ensure_valid_input,
    generate_identified_filename,
    infer_shapes,
    quantize,
)
from transformers.testing_utils import require_tf, require_tokenizers, require_torch, slow



class 					__lowerCAmelCase       :






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__					,							__magic_name__    )     ->   Dict:


							'''simple docstring'''



							return None




class 					__lowerCAmelCase       :






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__					,							__magic_name__					,							__magic_name__    )     ->   List[str]:


							'''simple docstring'''



							return None




class 					__lowerCAmelCase       (			unittest.TestCase     ):
			lowerCamelCase_     :     Dict       			=      [
			    # (model_name, model_kwargs)
			    ('''bert-base-cased''', {}),
			    ('''gpt2''', {'''use_cache''': False}),  # We don't support exporting GPT2 past keys anymore
			]






			@require_tf
			@slow
			def 			lowerCamelCase  (self    )     ->   Union[str, Any]:


							'''simple docstring'''



							for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
											self._test_export(__magic_name__					,							'''tf'''					,							12					,							**__magic_name__    )






			@require_torch
			@slow
			def 			lowerCamelCase  (self    )     ->   int:


							'''simple docstring'''



							for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
											self._test_export(__magic_name__					,							'''pt'''					,							12					,							**__magic_name__    )






			@require_torch
			@slow
			def 			lowerCamelCase  (self    )     ->   int:


							'''simple docstring'''



							from transformers import BertModel

							snake_case_						:    str				=  ['''[UNK]''', '''[SEP]''', '''[CLS]''', '''[PAD]''', '''[MASK]''', '''some''', '''other''', '''words''']
							with NamedTemporaryFile(mode='''w+t'''    ) as vocab_file:
											vocab_file.write('''\n'''.join(__magic_name__    )    )
											vocab_file.flush()
											snake_case_						:    Optional[Any]				=  BertTokenizerFast(vocab_file.name    )

							with TemporaryDirectory() as bert_save_dir:
											snake_case_						:    str				=  BertModel(BertConfig(vocab_size=len(__magic_name__    )    )    )
											model.save_pretrained(__magic_name__    )
											self._test_export(__magic_name__					,							'''pt'''					,							12					,							__magic_name__    )






			@require_tf
			@slow
			def 			lowerCamelCase  (self    )     ->   Tuple:


							'''simple docstring'''



							for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
											snake_case_						:    Tuple				=  self._test_export(__magic_name__					,							'''tf'''					,							12					,							**__magic_name__    )
											snake_case_						:    List[str]				=  quantize(Path(__magic_name__    )    )

											# Ensure the actual quantized model is not bigger than the original one
											if quantized_path.stat().st_size >= Path(__magic_name__    ).stat().st_size:
															self.fail('''Quantized model is bigger than initial ONNX model'''    )






			@require_torch
			@slow
			def 			lowerCamelCase  (self    )     ->   Any:


							'''simple docstring'''



							for model, model_kwargs in OnnxExportTestCase.MODEL_TO_TEST:
											snake_case_						:    Any				=  self._test_export(__magic_name__					,							'''pt'''					,							12					,							**__magic_name__    )
											snake_case_						:    Any				=  quantize(__magic_name__    )

											# Ensure the actual quantized model is not bigger than the original one
											if quantized_path.stat().st_size >= Path(__magic_name__    ).stat().st_size:
															self.fail('''Quantized model is bigger than initial ONNX model'''    )






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__					,							__magic_name__					,							__magic_name__=None					,							**__magic_name__    )     ->   Tuple:


							'''simple docstring'''



							try:
											# Compute path
											with TemporaryDirectory() as tempdir:
															snake_case_						:    List[str]				=  Path(__magic_name__    ).joinpath('''model.onnx'''    )

											# Remove folder if exists
											if path.parent.exists():
															path.parent.rmdir()

											# Export
											convert(__magic_name__					,							__magic_name__					,							__magic_name__					,							__magic_name__					,							__magic_name__					,							**__magic_name__    )

											return path
							except Exception as e:
											self.fail(__magic_name__    )






			@require_torch
			@require_tokenizers
			@slow
			def 			lowerCamelCase  (self    )     ->   Optional[Any]:


							'''simple docstring'''



							from transformers import BertModel

							snake_case_						:    Optional[Any]				=  BertModel(BertConfig.from_pretrained('''lysandre/tiny-bert-random'''    )    )
							snake_case_						:    int				=  BertTokenizerFast.from_pretrained('''lysandre/tiny-bert-random'''    )
							self._test_infer_dynamic_axis(__magic_name__					,							__magic_name__					,							'''pt'''    )






			@require_tf
			@require_tokenizers
			@slow
			def 			lowerCamelCase  (self    )     ->   List[str]:


							'''simple docstring'''



							from transformers import TFBertModel

							snake_case_						:    Any				=  TFBertModel(BertConfig.from_pretrained('''lysandre/tiny-bert-random'''    )    )
							snake_case_						:    str				=  BertTokenizerFast.from_pretrained('''lysandre/tiny-bert-random'''    )
							self._test_infer_dynamic_axis(__magic_name__					,							__magic_name__					,							'''tf'''    )






			def 			lowerCamelCase  (self					,							__magic_name__					,							__magic_name__					,							__magic_name__    )     ->   int:


							'''simple docstring'''



							snake_case_						:    Tuple				=  FeatureExtractionPipeline(__magic_name__					,							__magic_name__    )

							snake_case_						:    Optional[int]				=  ['''input_ids''', '''token_type_ids''', '''attention_mask''', '''output_0''', '''output_1''']
							snake_case_			,							snake_case_			,							snake_case_			,							snake_case_						:    Optional[int]				=  infer_shapes(__magic_name__					,							__magic_name__    )

							# Assert all variables are present
							self.assertEqual(len(__magic_name__    )					,							len(__magic_name__    )    )
							self.assertTrue(all(var_name in shapes for var_name in variable_names    )    )
							self.assertSequenceEqual(variable_names[:3]					,							__magic_name__    )
							self.assertSequenceEqual(variable_names[3:]					,							__magic_name__    )

							# Assert inputs are {0: batch, 1: sequence}
							for var_name in ["input_ids", "token_type_ids", "attention_mask"]:
											self.assertDictEqual(shapes[var_name]					,							{0: '''batch''', 1: '''sequence'''}    )

							# Assert outputs are {0: batch, 1: sequence} and {0: batch}
							self.assertDictEqual(shapes['''output_0''']					,							{0: '''batch''', 1: '''sequence'''}    )
							self.assertDictEqual(shapes['''output_1''']					,							{0: '''batch'''}    )






			def 			lowerCamelCase  (self    )     ->   Optional[int]:


							'''simple docstring'''



							snake_case_						:    Tuple				=  ['''input_ids''', '''attention_mask''', '''token_type_ids''']
							snake_case_						:    List[str]				=  {'''input_ids''': [1, 2, 3, 4], '''attention_mask''': [0, 0, 0, 0], '''token_type_ids''': [1, 1, 1, 1]}
							snake_case_			,							snake_case_						:    Tuple				=  ensure_valid_input(FuncContiguousArgs()					,							__magic_name__					,							__magic_name__    )

							# Should have exactly the same number of args (all are valid)
							self.assertEqual(len(__magic_name__    )					,							3    )

							# Should have exactly the same input names
							self.assertEqual(set(__magic_name__    )					,							set(__magic_name__    )    )

							# Parameter should be reordered according to their respective place in the function:
							# (input_ids, token_type_ids, attention_mask)
							self.assertEqual(__magic_name__					,							(tokens['''input_ids'''], tokens['''token_type_ids'''], tokens['''attention_mask'''])    )

							# Generated args are interleaved with another args (for instance parameter "past" in GPT2)
							snake_case_			,							snake_case_						:    Dict				=  ensure_valid_input(FuncNonContiguousArgs()					,							__magic_name__					,							__magic_name__    )

							# Should have exactly the one arg (all before the one not provided "some_other_args")
							self.assertEqual(len(__magic_name__    )					,							1    )
							self.assertEqual(len(__magic_name__    )					,							1    )

							# Should have only "input_ids"
							self.assertEqual(inputs_args[0]					,							tokens['''input_ids''']    )
							self.assertEqual(ordered_input_names[0]					,							'''input_ids'''    )






			def 			lowerCamelCase  (self    )     ->   Any:


							'''simple docstring'''



							snake_case_						:    Optional[int]				=  generate_identified_filename(Path('''/home/something/my_fake_model.onnx'''    )					,							'''-test'''    )
							self.assertEqual('''/home/something/my_fake_model-test.onnx'''					,							generated.as_posix()    )
