
import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict






@pytest.mark.parametrize(
    'files'					,				[
        ['full:README.md', 'dataset_infos.json'],
        ['empty:README.md', 'dataset_infos.json'],
        ['dataset_infos.json'],
        ['full:README.md'],
    ]					,				)
def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       tmp_path_factory.mktemp('dset_infos_dir'				)
	if "full:README.md" in files:
		with open(dataset_infos_dir / 'README.md'					,				'w'				) as f:
			f.write('---\ndataset_info:\n  dataset_size: 42\n---'				)
	if "empty:README.md" in files:
		with open(dataset_infos_dir / 'README.md'					,				'w'				) as f:
			f.write(''				)
    # we want to support dataset_infos.json for backward compatibility
	if "dataset_infos.json" in files:
		with open(dataset_infos_dir / 'dataset_infos.json'					,				'w'				) as f:
			f.write('{"default": {"dataset_size": 42}}'				)
	lowercase	    =       DatasetInfosDict.from_directory(__SCREAMING_SNAKE_CASE				)
	assert dataset_infos
	assert dataset_infos["default"].dataset_size == 42






@pytest.mark.parametrize(
    'dataset_info'					,				[
        DatasetInfo(),
        DatasetInfo(
            description='foo'					,				features=Features({'a': Value('int32'				)}				)					,				builder_name='builder'					,				config_name='config'					,				version='1.0.0'					,				splits=[{'name': 'train'}]					,				download_size=42					,				),
    ]					,				)
def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       str(__SCREAMING_SNAKE_CASE				)
	dataset_info.write_to_directory(__SCREAMING_SNAKE_CASE				)
	lowercase	    =       DatasetInfo.from_directory(__SCREAMING_SNAKE_CASE				)
	assert dataset_info == reloaded
	assert os.path.exists(os.path.join(__SCREAMING_SNAKE_CASE					,				'dataset_info.json'				)				)






def 				UpperCAmelCase_						(				):
	lowercase	    =       DatasetInfo(
	    description='foo'					,				citation='bar'					,				homepage='https://foo.bar'					,				license='CC0'					,				features=Features({'a': Value('int32'				)}				)					,				post_processed={}					,				supervised_keys=()					,				task_templates=[]					,				builder_name='builder'					,				config_name='config'					,				version='1.0.0'					,				splits=[{'name': 'train', 'num_examples': 42}]					,				download_checksums={}					,				download_size=1337					,				post_processing_size=442					,				dataset_size=1234					,				size_in_bytes=1337 + 442 + 1234					,				)
	lowercase	    =       dataset_info._to_yaml_dict()
	assert sorted(__SCREAMING_SNAKE_CASE				) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML				)
	for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
		assert key in dataset_info_yaml_dict
		assert isinstance(dataset_info_yaml_dict[key]					,				(list, dict, int, str)				)
	lowercase	    =       yaml.safe_dump(__SCREAMING_SNAKE_CASE				)
	lowercase	    =       yaml.safe_load(__SCREAMING_SNAKE_CASE				)
	assert dataset_info_yaml_dict == reloaded






def 				UpperCAmelCase_						(				):
	lowercase	    =       DatasetInfo()
	lowercase	    =       dataset_info._to_yaml_dict()
	assert dataset_info_yaml_dict == {}






@pytest.mark.parametrize(
    'dataset_infos_dict'					,				[
        DatasetInfosDict(),
        DatasetInfosDict({'default': DatasetInfo()}				),
        DatasetInfosDict({'my_config_name': DatasetInfo()}				),
        DatasetInfosDict(
            {
                'default': DatasetInfo(
                    description='foo'					,				features=Features({'a': Value('int32'				)}				)					,				builder_name='builder'					,				config_name='config'					,				version='1.0.0'					,				splits=[{'name': 'train'}]					,				download_size=42					,				)
            }				),
        DatasetInfosDict(
            {
                'v1': DatasetInfo(dataset_size=42				),
                'v2': DatasetInfo(dataset_size=1337				),
            }				),
    ]					,				)
def 				UpperCAmelCase_						(				__SCREAMING_SNAKE_CASE					,				__SCREAMING_SNAKE_CASE				):
	lowercase	    =       str(__SCREAMING_SNAKE_CASE				)
	dataset_infos_dict.write_to_directory(__SCREAMING_SNAKE_CASE				)
	lowercase	    =       DatasetInfosDict.from_directory(__SCREAMING_SNAKE_CASE				)

	# the config_name of the dataset_infos_dict take over the attribute
	for config_name, dataset_info in dataset_infos_dict.items():
		lowercase	    =       config_name
		# the yaml representation doesn't include fields like description or citation
		# so we just test that we can recover what we can from the yaml
		lowercase	    =       DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()				)
	assert dataset_infos_dict == reloaded

	if dataset_infos_dict:
		assert os.path.exists(os.path.join(__SCREAMING_SNAKE_CASE					,				'README.md'				)				)








def  __magic_name__  (				lowercase				)				-> list:

							"""simple docstring"""



							if n_term == "":
														return []
							lowercase_	:   list  				=     []
							for temp in range(int(lowercase				)				):
														series.append(f"""1/{temp + 1}""" if series else """1"""				)
							return series


if __name__ == "__main__":
							UpperCAmelCase_							=				input("""Enter the last number (nth term) of the Harmonic Series""")
							print("""Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n""")
							print(harmonic_series(nth_term))