






import gc
import unittest

from transformers import MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, FillMaskPipeline, pipeline
from transformers.pipelines import PipelineException
from transformers.testing_utils import (
    is_pipeline_test,
    is_torch_available,
    nested_simplify,
    require_tf,
    require_torch,
    require_torch_gpu,
    slow,
)

from .test_pipelines_common import ANY







@is_pipeline_test
class 	_UpperCAmelCase  (  unittest.TestCase		):




    """simple docstring"""



    A          =    MODEL_FOR_MASKED_LM_MAPPING
    A          =    TF_MODEL_FOR_MASKED_LM_MAPPING
    def 			snake_case_      (   self		):



        '''simple docstring'''
        super().tearDown()
        # clean-up as much as possible GPU memory occupied by PyTorch
        gc.collect()
        if is_torch_available():
            import torch

            torch.cuda.empty_cache()
    @require_tf
    def 			snake_case_      (   self		):



        '''simple docstring'''
        lowerCAmelCase__   :Optional[int]      							=				pipeline(task="fill-mask"    ,	model="sshleifer/tiny-distilroberta-base"    ,	top_k=2    ,	framework="tf"		)
        lowerCAmelCase__   :Optional[Any]      							=				unmasker("My name is <mask>"		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase    ,	decimals=6		)    ,	[
                {"sequence": "My name is grouped", "score": 2.1e-05, "token": 38_015, "token_str": " grouped"},
                {"sequence": "My name is accuser", "score": 2.1e-05, "token": 25_506, "token_str": " accuser"},
            ]    ,	)

        lowerCAmelCase__   :Tuple      							=				unmasker("The largest city in France is <mask>"		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase    ,	decimals=6		)    ,	[
                {
                    "sequence": "The largest city in France is grouped",
                    "score": 2.1e-05,
                    "token": 38_015,
                    "token_str": " grouped",
                },
                {
                    "sequence": "The largest city in France is accuser",
                    "score": 2.1e-05,
                    "token": 25_506,
                    "token_str": " accuser",
                },
            ]    ,	)

        lowerCAmelCase__   :Any      							=				unmasker("My name is <mask>"    ,	targets=[" Patrick", " Clara", " Teven"]    ,	top_k=3		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase    ,	decimals=6		)    ,	[
                {"sequence": "My name is Clara", "score": 2e-05, "token": 13_606, "token_str": " Clara"},
                {"sequence": "My name is Patrick", "score": 2e-05, "token": 3_499, "token_str": " Patrick"},
                {"sequence": "My name is Te", "score": 1.9e-05, "token": 2_941, "token_str": " Te"},
            ]    ,	)
    @require_torch
    def 			snake_case_      (   self		):



        '''simple docstring'''
        lowerCAmelCase__   :Optional[Any]      							=				pipeline(task="fill-mask"    ,	model="sshleifer/tiny-distilroberta-base"    ,	top_k=2    ,	framework="pt"		)

        lowerCAmelCase__   :Any      							=				unmasker("My name is <mask>"		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase    ,	decimals=6		)    ,	[
                {"sequence": "My name is Maul", "score": 2.2e-05, "token": 35_676, "token_str": " Maul"},
                {"sequence": "My name isELS", "score": 2.2e-05, "token": 16_416, "token_str": "ELS"},
            ]    ,	)

        lowerCAmelCase__   :List[Any]      							=				unmasker("The largest city in France is <mask>"		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase    ,	decimals=6		)    ,	[
                {
                    "sequence": "The largest city in France is Maul",
                    "score": 2.2e-05,
                    "token": 35_676,
                    "token_str": " Maul",
                },
                {"sequence": "The largest city in France isELS", "score": 2.2e-05, "token": 16_416, "token_str": "ELS"},
            ]    ,	)

        lowerCAmelCase__   :Union[str, Any]      							=				unmasker("My name is <mask>"    ,	targets=[" Patrick", " Clara", " Teven"]    ,	top_k=3		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase    ,	decimals=6		)    ,	[
                {"sequence": "My name is Patrick", "score": 2.1e-05, "token": 3_499, "token_str": " Patrick"},
                {"sequence": "My name is Te", "score": 2e-05, "token": 2_941, "token_str": " Te"},
                {"sequence": "My name is Clara", "score": 2e-05, "token": 13_606, "token_str": " Clara"},
            ]    ,	)

        lowerCAmelCase__   :Any      							=				unmasker("My name is <mask> <mask>"    ,	top_k=2		)

        self.assertEqual(
            nested_simplify(_lowerCAmelCase    ,	decimals=6		)    ,	[
                [
                    {
                        "score": 2.2e-05,
                        "token": 35_676,
                        "token_str": " Maul",
                        "sequence": "<s>My name is Maul<mask></s>",
                    },
                    {"score": 2.2e-05, "token": 16_416, "token_str": "ELS", "sequence": "<s>My name isELS<mask></s>"},
                ],
                [
                    {
                        "score": 2.2e-05,
                        "token": 35_676,
                        "token_str": " Maul",
                        "sequence": "<s>My name is<mask> Maul</s>",
                    },
                    {"score": 2.2e-05, "token": 16_416, "token_str": "ELS", "sequence": "<s>My name is<mask>ELS</s>"},
                ],
            ]    ,	)
    @require_torch_gpu
    def 			snake_case_      (   self		):



        '''simple docstring'''
        lowerCAmelCase__   :List[str]      							=				pipeline("fill-mask"    ,	model="hf-internal-testing/tiny-random-distilbert"    ,	device=0    ,	framework="pt"		)

        # convert model to fp16
        pipe.model.half()

        lowerCAmelCase__   :Union[str, Any]      							=				pipe("Paris is the [MASK] of France."		)
        # We actually don't care about the result, we just want to make sure
        # it works, meaning the float16 tensor got casted back to float32
        # for postprocessing.
        self.assertIsInstance(_lowerCAmelCase    ,	_lowerCAmelCase		)
    @slow
    @require_torch
    def 			snake_case_      (   self		):



        '''simple docstring'''
        lowerCAmelCase__   :Optional[int]      							=				pipeline(task="fill-mask"    ,	model="distilroberta-base"    ,	top_k=2    ,	framework="pt"		)
        self.run_large_test(_lowerCAmelCase		)
    @slow
    @require_tf
    def 			snake_case_      (   self		):



        '''simple docstring'''
        lowerCAmelCase__   :Tuple      							=				pipeline(task="fill-mask"    ,	model="distilroberta-base"    ,	top_k=2    ,	framework="tf"		)
        self.run_large_test(_lowerCAmelCase		)
    def 			snake_case_      (   self    ,	_lowerCAmelCase		):



        '''simple docstring'''
        lowerCAmelCase__   :Optional[Any]      							=				unmasker("My name is <mask>"		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase		)    ,	[
                {"sequence": "My name is John", "score": 0.008, "token": 610, "token_str": " John"},
                {"sequence": "My name is Chris", "score": 0.007, "token": 1_573, "token_str": " Chris"},
            ]    ,	)
        lowerCAmelCase__   :List[str]      							=				unmasker("The largest city in France is <mask>"		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase		)    ,	[
                {
                    "sequence": "The largest city in France is Paris",
                    "score": 0.251,
                    "token": 2_201,
                    "token_str": " Paris",
                },
                {
                    "sequence": "The largest city in France is Lyon",
                    "score": 0.214,
                    "token": 12_790,
                    "token_str": " Lyon",
                },
            ]    ,	)

        lowerCAmelCase__   :Optional[int]      							=				unmasker("My name is <mask>"    ,	targets=[" Patrick", " Clara", " Teven"]    ,	top_k=3		)
        self.assertEqual(
            nested_simplify(_lowerCAmelCase		)    ,	[
                {"sequence": "My name is Patrick", "score": 0.005, "token": 3_499, "token_str": " Patrick"},
                {"sequence": "My name is Clara", "score": 0.000, "token": 13_606, "token_str": " Clara"},
                {"sequence": "My name is Te", "score": 0.000, "token": 2_941, "token_str": " Te"},
            ]    ,	)
    @require_torch
    def 			snake_case_      (   self		):



        '''simple docstring'''
        lowerCAmelCase__   :Any      							=				pipeline(task="fill-mask"    ,	model="sshleifer/tiny-distilroberta-base"    ,	framework="pt"		)
        lowerCAmelCase__   :Union[str, Any]      							=				None
        lowerCAmelCase__   :List[str]      							=				None
        self.run_pipeline_test(_lowerCAmelCase    ,	[]		)
    @require_tf
    def 			snake_case_      (   self		):



        '''simple docstring'''
        lowerCAmelCase__   :Dict      							=				pipeline(task="fill-mask"    ,	model="sshleifer/tiny-distilroberta-base"    ,	framework="tf"		)
        lowerCAmelCase__   :str      							=				None
        lowerCAmelCase__   :str      							=				None
        self.run_pipeline_test(_lowerCAmelCase    ,	[]		)
    def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



        '''simple docstring'''
        if tokenizer is None or tokenizer.mask_token_id is None:
            self.skipTest("The provided tokenizer has no mask token, (probably reformer or wav2vec2)"		)

        lowerCAmelCase__   :str      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase		)
        lowerCAmelCase__   :Any      							=				[
            f'''This is another {tokenizer.mask_token} test''',
        ]
        return fill_masker, examples
    def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



        '''simple docstring'''
        lowerCAmelCase__   :Union[str, Any]      							=				fill_masker.tokenizer
        lowerCAmelCase__   :List[str]      							=				fill_masker.model

        lowerCAmelCase__   :List[Any]      							=				fill_masker(
            f'''This is a {tokenizer.mask_token}'''    ,	)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
            ]    ,	)

        lowerCAmelCase__   :List[Any]      							=				fill_masker([f'''This is a {tokenizer.mask_token}''']		)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
            ]    ,	)

        lowerCAmelCase__   :Any      							=				fill_masker([f'''This is a {tokenizer.mask_token}''', f'''Another {tokenizer.mask_token} great test.''']		)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                [
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                ],
                [
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                ],
            ]    ,	)

        with self.assertRaises(_lowerCAmelCase		):
            fill_masker([None]		)
        # No mask_token is not supported
        with self.assertRaises(_lowerCAmelCase		):
            fill_masker("This is"		)

        self.run_test_top_k(_lowerCAmelCase    ,	_lowerCAmelCase		)
        self.run_test_targets(_lowerCAmelCase    ,	_lowerCAmelCase		)
        self.run_test_top_k_targets(_lowerCAmelCase    ,	_lowerCAmelCase		)
        self.fill_mask_with_duplicate_targets_and_top_k(_lowerCAmelCase    ,	_lowerCAmelCase		)
        self.fill_mask_with_multiple_masks(_lowerCAmelCase    ,	_lowerCAmelCase		)
    def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



        '''simple docstring'''
        lowerCAmelCase__   :Optional[Any]      							=				tokenizer.get_vocab()
        lowerCAmelCase__   :Any      							=				sorted(vocab.keys()		)[:2]
        # Pipeline argument
        lowerCAmelCase__   :List[str]      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase    ,	targets=_lowerCAmelCase		)
        lowerCAmelCase__   :str      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''		)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
            ]    ,	)
        lowerCAmelCase__   :Union[str, Any]      							=				{vocab[el] for el in targets}
        self.assertEqual({el["token"] for el in outputs}    ,	_lowerCAmelCase		)
        lowerCAmelCase__   :Union[str, Any]      							=				[tokenizer.decode([x]		) for x in target_ids]
        self.assertEqual({el["token_str"] for el in outputs}    ,	set(_lowerCAmelCase		)		)

        # Call argument
        lowerCAmelCase__   :str      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase		)
        lowerCAmelCase__   :List[Any]      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	targets=_lowerCAmelCase		)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
            ]    ,	)
        lowerCAmelCase__   :Tuple      							=				{vocab[el] for el in targets}
        self.assertEqual({el["token"] for el in outputs}    ,	_lowerCAmelCase		)
        lowerCAmelCase__   :Union[str, Any]      							=				[tokenizer.decode([x]		) for x in target_ids]
        self.assertEqual({el["token_str"] for el in outputs}    ,	set(_lowerCAmelCase		)		)

        # Score equivalence
        lowerCAmelCase__   :Any      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	targets=_lowerCAmelCase		)
        lowerCAmelCase__   :List[Any]      							=				[top_mask["token_str"] for top_mask in outputs]
        lowerCAmelCase__   :int      							=				[top_mask["score"] for top_mask in outputs]

        # For some BPE tokenizers, `</w>` is removed during decoding, so `token_str` won't be the same as in `targets`.
        if set(_lowerCAmelCase		) == set(_lowerCAmelCase		):
            lowerCAmelCase__   :Optional[int]      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	targets=_lowerCAmelCase		)
            lowerCAmelCase__   :str      							=				[top_mask["score"] for top_mask in unmasked_targets]
            self.assertEqual(nested_simplify(_lowerCAmelCase		)    ,	nested_simplify(_lowerCAmelCase		)		)

        # Raises with invalid
        with self.assertRaises(_lowerCAmelCase		):
            lowerCAmelCase__   :Union[str, Any]      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	targets=[]		)
        # For some tokenizers, `""` is actually in the vocabulary and the expected error won't raised
        if "" not in tokenizer.get_vocab():
            with self.assertRaises(_lowerCAmelCase		):
                lowerCAmelCase__   :str      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	targets=[""]		)
            with self.assertRaises(_lowerCAmelCase		):
                lowerCAmelCase__   :Tuple      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	targets=""		)
    def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



        '''simple docstring'''
        lowerCAmelCase__   :Optional[Any]      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase    ,	top_k=2		)
        lowerCAmelCase__   :Any      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''		)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
            ]    ,	)

        lowerCAmelCase__   :Optional[Any]      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase		)
        lowerCAmelCase__   :Any      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	top_k=2		)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
            ]    ,	)
        self.assertEqual(nested_simplify(_lowerCAmelCase		)    ,	nested_simplify(_lowerCAmelCase		)		)
    def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



        '''simple docstring'''
        lowerCAmelCase__   :Union[str, Any]      							=				tokenizer.get_vocab()
        lowerCAmelCase__   :Optional[Any]      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase		)

        # top_k=2, ntargets=3
        lowerCAmelCase__   :Any      							=				sorted(vocab.keys()		)[:3]
        lowerCAmelCase__   :Any      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	top_k=2    ,	targets=_lowerCAmelCase		)

        # If we use the most probably targets, and filter differently, we should still
        # have the same results
        lowerCAmelCase__   :Any      							=				[el["token_str"] for el in sorted(_lowerCAmelCase    ,	key=lambda _lowerCAmelCase		: x["score"]    ,	reverse=_lowerCAmelCase		)]
        # For some BPE tokenizers, `</w>` is removed during decoding, so `token_str` won't be the same as in `targets`.
        if set(_lowerCAmelCase		).issubset(_lowerCAmelCase		):
            lowerCAmelCase__   :Optional[Any]      							=				fill_masker(f'''This is a {tokenizer.mask_token}'''    ,	top_k=3    ,	targets=_lowerCAmelCase		)
            # They should yield exactly the same result
            self.assertEqual(nested_simplify(_lowerCAmelCase		)    ,	nested_simplify(_lowerCAmelCase		)		)
    def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



        '''simple docstring'''
        lowerCAmelCase__   :Optional[Any]      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase		)
        lowerCAmelCase__   :Any      							=				tokenizer.get_vocab()
        # String duplicates + id duplicates
        lowerCAmelCase__   :Any      							=				sorted(vocab.keys()		)[:3]
        lowerCAmelCase__   :List[Any]      							=				[targets[0], targets[1], targets[0], targets[2], targets[1]]
        lowerCAmelCase__   :List[Any]      							=				fill_masker(f'''My name is {tokenizer.mask_token}'''    ,	targets=_lowerCAmelCase    ,	top_k=10		)

        # The target list contains duplicates, so we can't output more
        # than them
        self.assertEqual(len(_lowerCAmelCase		)    ,	3		)



    def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase		):



        '''simple docstring'''
        lowerCAmelCase__   :int      							=				FillMaskPipeline(model=_lowerCAmelCase    ,	tokenizer=_lowerCAmelCase		)

        lowerCAmelCase__   :Dict      							=				fill_masker(
            f'''This is a {tokenizer.mask_token} {tokenizer.mask_token} {tokenizer.mask_token}'''    ,	top_k=2		)
        self.assertEqual(
            _lowerCAmelCase    ,	[
                [
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                ],
                [
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                ],
                [
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                    {"sequence": ANY(_lowerCAmelCase		), "score": ANY(_lowerCAmelCase		), "token": ANY(_lowerCAmelCase		), "token_str": ANY(_lowerCAmelCase		)},
                ],
            ]    ,	)











def 				snake_case__							(							UpperCAmelCase							:  Tuple       ):
    lowerCAmelCase__   :List[Any]      							=				len(UpperCAmelCase       )
    for i in range(length - 1       ):
        lowerCAmelCase__   :Union[str, Any]      							=				i
        for k in range(i + 1    ,			UpperCAmelCase       ):
            if collection[k] < collection[least]:
                lowerCAmelCase__   :Any      							=				k
        if least != i:
            lowerCAmelCase__							,lowerCAmelCase__   :int      							=				(collection[i], collection[least])
    return collection


if __name__ == "__main__":
 _a    :   Optional[int]        =			input("""Enter numbers separated by a comma:\n""").strip()
 _a    :   Any        =			[int(item) for item in user_input.split(""",""")]
 print(selection_sort(unsorted))



