





'''simple docstring'''

import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


__lowerCAmelCase							:     Optional[Any]		     =	namedtuple(
    "_TestCommandArgs",
    [
        "dataset",
        "name",
        "cache_dir",
        "data_dir",
        "all_configs",
        "save_infos",
        "ignore_verifications",
        "force_redownload",
        "clear_cache",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)





def 						UpperCamelCase    (							_lowerCamelCase : Optional[Any]						,	_lowerCamelCase : Any	):
    return (abs(source - target	) / target) < 0.0_1





@pytest.mark.integration
def 						UpperCamelCase    (							_lowerCamelCase : Dict	):
    A__    =      _TestCommandArgs(dataset=snake_case__						,	all_configs=snake_case__						,	save_infos=snake_case__	)
    A__    =      TestCommand(*snake_case__	)
    test_command.run()
    A__    =      os.path.join(snake_case__						,	"README.md"	)
    assert os.path.exists(snake_case__	)
    A__    =      DatasetInfosDict.from_directory(snake_case__	)
    A__    =      DatasetInfosDict(
        {
            "default": DatasetInfo(
                features=Features(
                    {
                        "tokens": Sequence(Value("string"	)	),
                        "ner_tags": Sequence(
                            ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]	)	),
                        "langs": Sequence(Value("string"	)	),
                        "spans": Sequence(Value("string"	)	),
                    }	)						,	splits=[
                    {
                        "name": "train",
                        "num_bytes": 2_35_15_63,
                        "num_examples": 1_00_00,
                    },
                    {
                        "name": "validation",
                        "num_bytes": 23_84_18,
                        "num_examples": 10_00,
                    },
                ]						,	download_size=3_94_06_80						,	dataset_size=2_58_99_81						,	)
        }	)
    assert dataset_infos.keys() == expected_dataset_infos.keys()
    for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
        A__,     A__    =      getattr(dataset_infos["default"]						,	snake_case__	), getattr(expected_dataset_infos["default"]						,	snake_case__	)
        if key == "num_bytes":
            assert is_apercent_close(snake_case__						,	snake_case__	)
        elif key == "splits":
            assert list(snake_case__	) == list(snake_case__	)
            for split in result:
                assert result[split].name == expected[split].name
                assert result[split].num_examples == expected[split].num_examples
                assert is_apercent_close(result[split].num_bytes						,	expected[split].num_bytes	)
        else:
            result == expected










'''simple docstring'''

from .imports import is_tqdm_available


if is_tqdm_available():
  from tqdm.auto import tqdm as _tqdm

from ..state import PartialState





def 						UpperCamelCase    (							_lowerCamelCase : bool = True						,	*_lowerCamelCase : Optional[int]						,	**_lowerCamelCase : Optional[Any]	):
    if not is_tqdm_available():
        raise ImportError("Accelerate's `tqdm` module requires `tqdm` to be installed. Please run `pip install tqdm`."	)
    A__    =      False
    if main_process_only:
        A__    =      PartialState().local_process_index == 0
    return _tqdm(*_lowerCamelCase						,	**_lowerCamelCase						,	disable=_lowerCamelCase	)



