





"""simple docstring"""



import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(""".""")







def 		__lowercase					(       snake_case_  :  Any						)       ->Any:



    '''simple docstring'''







    __A   :						Optional[int]									=					test_file.split(os.path.sep						)
    if components[0:2] != ["tests", "models"]:
        raise ValueError(
            '''`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got '''
            F"""{test_file} instead."""						)
    __A   :						Optional[int]									=					components[-1]
    if not test_fn.endswith('''py'''						):
        raise ValueError(F"""`test_file` should be a python file. Got {test_fn} instead."""						)
    if not test_fn.startswith('''test_modeling_'''						):
        raise ValueError(
            F"""`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead."""						)

    __A   :						Optional[Any]									=					components[:-1] + [test_fn.replace('''.py'''    ,''''''						)]
    __A   :						Tuple									=					'''.'''.join(snake_case_						)

    return test_module_path







def 		__lowercase					(       snake_case_  :  Optional[int]						)       ->str:



    '''simple docstring'''







    __A   :						Optional[int]									=					get_module_path(snake_case_						)
    __A   :						int									=					importlib.import_module(snake_case_						)

    return test_module







def 		__lowercase					(       snake_case_  :  str						)       ->List[Any]:



    '''simple docstring'''







    __A   :						Dict									=					[]
    __A   :						Any									=					get_test_module(snake_case_						)
    for attr in dir(snake_case_						):
        if attr.endswith('''ModelTester'''						):
            tester_classes.append(getattr(snake_case_    ,snake_case_						)						)

    # sort with class names
    return sorted(snake_case_    ,key=lambda snake_case_						: x.__name__						)







def 		__lowercase					(       snake_case_  :  int						)       ->str:



    '''simple docstring'''







    __A   :						Any									=					[]
    __A   :						Optional[int]									=					get_test_module(snake_case_						)
    for attr in dir(snake_case_						):
        __A   :						Optional[Any]									=					getattr(snake_case_    ,snake_case_						)
        # (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
        # `all_model_classes` is not empty (which also excludes other special classes).
        __A   :						Union[str, Any]									=					getattr(snake_case_    ,'''all_model_classes'''    ,[]						)
        if len(snake_case_						) > 0:
            test_classes.append(snake_case_						)

    # sort with class names
    return sorted(snake_case_    ,key=lambda snake_case_						: x.__name__						)







def 		__lowercase					(       snake_case_  :  List[str]						)       ->Optional[int]:



    '''simple docstring'''







    __A   :						Tuple									=					get_test_classes(snake_case_						)
    __A   :						str									=					set()
    for test_class in test_classes:
        model_classes.update(test_class.all_model_classes						)

    # sort with class names
    return sorted(snake_case_    ,key=lambda snake_case_						: x.__name__						)







def 		__lowercase					(       snake_case_  :  int						)       ->Optional[int]:



    '''simple docstring'''







    __A   :						Union[str, Any]									=					test_class()
    if hasattr(snake_case_    ,'''setUp'''						):
        test.setUp()

    __A   :						List[Any]									=					None
    if hasattr(snake_case_    ,'''model_tester'''						):
        # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
        if test.model_tester is not None:
            __A   :						Dict									=					test.model_tester.__class__

    return model_tester







def 		__lowercase					(       snake_case_  :  List[Any]    ,snake_case_  :  int						)       ->Any:



    '''simple docstring'''







    __A   :						Tuple									=					get_test_classes(snake_case_						)

    __A   :						List[Any]									=					[]
    for test_class in test_classes:
        if model_class in test_class.all_model_classes:
            target_test_classes.append(snake_case_						)

    # sort with class names
    return sorted(snake_case_    ,key=lambda snake_case_						: x.__name__						)







def 		__lowercase					(       snake_case_  :  Union[str, Any]    ,snake_case_  :  str						)       ->int:



    '''simple docstring'''







    __A   :						Union[str, Any]									=					get_test_classes_for_model(snake_case_    ,snake_case_						)

    __A   :						Tuple									=					[]
    for test_class in test_classes:
        __A   :						Dict									=					get_model_tester_from_test_class(snake_case_						)
        if tester_class is not None:
            tester_classes.append(snake_case_						)

    # sort with class names
    return sorted(snake_case_    ,key=lambda snake_case_						: x.__name__						)







def 		__lowercase					(       snake_case_  :  int						)       ->Optional[Any]:



    '''simple docstring'''







    __A   :						Tuple									=					get_test_classes(snake_case_						)
    __A   :						int									=					{test_class: get_model_tester_from_test_class(snake_case_						) for test_class in test_classes}
    return test_tester_mapping







def 		__lowercase					(       snake_case_  :  str						)       ->Union[str, Any]:



    '''simple docstring'''







    __A   :						int									=					get_model_classes(snake_case_						)
    __A   :						Dict									=					{
        model_class: get_test_classes_for_model(snake_case_    ,snake_case_						) for model_class in model_classes
    }
    return model_test_mapping







def 		__lowercase					(       snake_case_  :  Dict						)       ->List[Any]:



    '''simple docstring'''







    __A   :						List[str]									=					get_model_classes(snake_case_						)
    __A   :						str									=					{
        model_class: get_tester_classes_for_model(snake_case_    ,snake_case_						) for model_class in model_classes
    }
    return model_to_tester_mapping







def 		__lowercase					(       snake_case_  :  str						)       ->Optional[Any]:



    '''simple docstring'''







    if isinstance(snake_case_    ,snake_case_						):
        return o
    elif isinstance(snake_case_    ,snake_case_						):
        return o.__name__
    elif isinstance(snake_case_    ,(list, tuple)						):
        return [to_json(snake_case_						) for x in o]
    elif isinstance(snake_case_    ,snake_case_						):
        return {to_json(snake_case_						): to_json(snake_case_						) for k, v in o.items()}
    else:
        return o











"""simple docstring"""



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 		__snake_case (		SCREAMING_SNAKE_CASE__							,							unittest.TestCase					):





 """simple docstring"""


 _lowerCamelCase				=					XLMTokenizer
 _lowerCamelCase				=					False

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     __A   :						Tuple									=					[
         '''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>''',
     ]
     __A   :						Dict									=					dict(zip(__lowerCamelCase ,						range(len(__lowerCamelCase  )  )  )  )
     __A   :						Union[str, Any]									=					['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

     __A   :						Optional[Any]									=					os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''vocab_file''']  )
     __A   :						Optional[Any]									=					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  UpperCamelCase__(   self ,						__lowerCamelCase  ):



     '''simple docstring'''




     __A   :						Optional[int]									=					'''lower newer'''
     __A   :						int									=					'''lower newer'''
     return input_text, output_text

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Union[str, Any]									=					XLMTokenizer(self.vocab_file ,						self.merges_file  )

     __A   :						Optional[Any]									=					'''lower'''
     __A   :						Any									=					['''low''', '''er</w>''']
     __A   :						Tuple									=					tokenizer.tokenize(__lowerCamelCase  )
     self.assertListEqual(__lowerCamelCase ,						__lowerCamelCase  )

     __A   :						str									=					tokens + ['''<unk>''']
     __A   :						List[str]									=					[14, 15, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase  ) ,						__lowerCamelCase  )







 @slow
 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Optional[int]									=					XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''  )

     __A   :						Union[str, Any]									=					tokenizer.encode('''sequence builders''' ,						add_special_tokens=__lowerCamelCase  )
     __A   :						int									=					tokenizer.encode('''multi-sequence build''' ,						add_special_tokens=__lowerCamelCase  )

     __A   :						int									=					tokenizer.build_inputs_with_special_tokens(__lowerCamelCase  )
     __A   :						List[Any]									=					tokenizer.build_inputs_with_special_tokens(__lowerCamelCase ,						__lowerCamelCase  )

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




