


import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict







@pytest.mark.parametrize(
    "split_dict"		,							[
        SplitDict(),
        SplitDict({"train": SplitInfo(name="train"		,							num_bytes=1337		,							num_examples=42		,							dataset_name="my_dataset"				)}				),
        SplitDict({"train": SplitInfo(name="train"		,							num_bytes=1337		,							num_examples=42				)}				),
        SplitDict({"train": SplitInfo()}				),
    ]		,							)
def 						__lowerCAmelCase		(		lowercase						:						SplitDict				)			->		Union[str, Any]:


    """simple docstring"""





    snake_case					:   Union[str, Any]         =					split_dict._to_yaml_list()
    assert len(UpperCamelCase__				) == len(UpperCamelCase__				)
    snake_case					:   Dict         =					SplitDict._from_yaml_list(UpperCamelCase__				)
    for split_name, split_info in split_dict.items():
        # dataset_name field is deprecated, and is therefore not part of the YAML dump
        snake_case					:   Dict         =					None
        # the split name of split_dict takes over the name of the split info object
        snake_case					:   Optional[int]         =					split_name
    assert split_dict == reloaded







@pytest.mark.parametrize(
    "split_info"		,							[SplitInfo(), SplitInfo(dataset_name=UpperCamelCase__				), SplitInfo(dataset_name="my_dataset"				)]				)
def 						__lowerCAmelCase		(		lowercase						:						Optional[int]				)			->		Dict:


    """simple docstring"""





    snake_case					:   Union[str, Any]         =					asdict(SplitDict({"train": split_info}				)				)
    assert "dataset_name" in split_dict_asdict["train"]
    assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name









"""simple docstring"""



import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class _lowerCAmelCase       (   snake_case_					,							unittest.TestCase			):
   __UpperCAmelCase				: List[Any]													=						LayoutLMTokenizer
   __UpperCAmelCase				: List[Any]													=						LayoutLMTokenizerFast
   __UpperCAmelCase				: List[Any]													=						True
   __UpperCAmelCase				: Dict													=						True







   def 				lowerCamelCase	(			self		)			->	str:

       '''simple docstring'''




       super().setUp()

       snake_case					:   Dict         =					[
           "[UNK]",
           "[CLS]",
           "[SEP]",
           "want",
           "##want",
           "##ed",
           "wa",
           "un",
           "runn",
           "##ing",
           ",",
           "low",
           "lowest",
       ]
       snake_case					:   List[str]         =					os.path.join(self.tmpdirname		,			VOCAB_FILES_NAMES["vocab_file"]		)
       with open(self.vocab_file		,			"w"		,			encoding="utf-8"		) as vocab_writer:
           vocab_writer.write("".join([x + "\n" for x in vocab_tokens]		)		)







   def 				lowerCamelCase	(			self		,			**UpperCamelCase__		)			->	Dict:

       '''simple docstring'''




       return LayoutLMTokenizer.from_pretrained(self.tmpdirname		,			**UpperCamelCase__		)







   def 				lowerCamelCase	(			self		,			UpperCamelCase__		)			->	Tuple:

       '''simple docstring'''




       snake_case					:   str         =					"UNwant\u00E9d,running"
       snake_case					:   Optional[int]         =					"unwanted, running"
       return input_text, output_text







   def 				lowerCamelCase	(			self		)			->	Any:

       '''simple docstring'''




       snake_case					:   List[str]         =					self.tokenizer_class(self.vocab_file		)

       snake_case					:   Optional[Any]         =					tokenizer.tokenize("UNwant\u00E9d,running"		)
       self.assertListEqual(UpperCamelCase__		,			["un", "##want", "##ed", ",", "runn", "##ing"]		)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__		)		,			[7, 4, 5, 10, 8, 9]		)







   def 				lowerCamelCase	(			self		)			->	Dict:

       '''simple docstring'''




       pass





