




"""simple docstring"""


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__ (snake_case__							:      str	,     snake_case__							:      List[str]					):
  """simple docstring"""

  _snake_case							:	str			=						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}}"""					)
  _snake_case							:	List[Any]			=						DatasetInfosDict.from_directory(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__ (snake_case__							:      str	,     snake_case__							:      DatasetInfo					):
  """simple docstring"""

  _snake_case							:	str			=						str(snake_case__					)
  dataset_info.write_to_directory(snake_case__					)
  _snake_case							:	Union[str, Any]			=						DatasetInfo.from_directory(snake_case__					)
  assert dataset_info == reloaded
  assert os.path.exists(os.path.join(snake_case__	,     """dataset_info.json"""					)					)


def       UpperCAmelCase__ ():
  """simple docstring"""

  _snake_case							:	Union[str, Any]			=						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=13_37	,     post_processing_size=4_42	,     dataset_size=12_34	,     size_in_bytes=13_37 + 4_42 + 12_34	,     )
  _snake_case							:	List[str]			=						dataset_info._to_yaml_dict()
  assert sorted(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)					)
  _snake_case							:	Dict			=						yaml.safe_dump(snake_case__					)
  _snake_case							:	Any			=						yaml.safe_load(snake_case__					)
  assert dataset_info_yaml_dict == reloaded


def       UpperCAmelCase__ ():
  """simple docstring"""

  _snake_case							:	Tuple			=						DatasetInfo()
  _snake_case							:	Union[str, Any]			=						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=13_37					),
            }					),
    ]	,     )
def       UpperCAmelCase__ (snake_case__							:      Tuple	,     snake_case__							:      DatasetInfosDict					):
  """simple docstring"""

  _snake_case							:	Dict			=						str(snake_case__					)
  dataset_infos_dict.write_to_directory(snake_case__					)
  _snake_case							:	Union[str, Any]			=						DatasetInfosDict.from_directory(snake_case__					)

  # the config_name of the dataset_infos_dict take over the attribute
  for config_name, dataset_info in dataset_infos_dict.items():
    _snake_case							:	Dict			=						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
    _snake_case							:	List[Any]			=						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(snake_case__	,     """README.md"""					)					)








"""simple docstring"""


def       UpperCAmelCase__ (snake_case__							:      list[int]	,     snake_case__							:      str					):
  """simple docstring"""

  _snake_case							:	str			=						int(snake_case__					)

  # Initialize Result
  _snake_case							:	str			=						[]

  # Traverse through all denomination
  for denomination in reversed(snake_case__					):
    # Find denominations
    while int(snake_case__					) >= int(snake_case__					):
      total_value -= int(snake_case__					)
      answer.append(snake_case__					)  # Append the "answers" array

  return answer


# Driver Code
if __name__ == "__main__":
     A_      			=       []
     A_      			=       '''0'''

     if (
         input('''Do you want to enter your denominations ? (yY/n): ''').strip().lower()
         == "y"
     ):
          A_      			=       int(input('''Enter the number of denominations you want to add: ''').strip())

          for i in range(0, n):
               denominations.append(int(input(F'''Denomination {i}: ''').strip()))
          A_      			=       input('''Enter the change you want to make in Indian Currency: ''').strip()
     else:
          # All denominations of Indian Currency if user does not enter
          A_      			=       [1, 2, 5, 10, 20, 50, 1_00, 5_00, 20_00]
          A_      			=       input('''Enter the change you want to make: ''').strip()

     if int(value) == 0 or int(value) < 0:
          print('''The total value cannot be zero or negative.''')

     else:
          print(F'''Following is minimal change for {value}: ''')
          A_      			=       find_minimum_change(denominations, value)
          # Print result
          for i in range(len(answer)):
               print(answer[i], end=''' ''')


