





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 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:Any   ,   SCREAMING_SNAKE_CASE		:int   )      ->   List[str]:
 __lowerCAmelCase					:	List[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}}"""   )
 __lowerCAmelCase					:	int      =       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 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:List[str]   ,   SCREAMING_SNAKE_CASE		:DatasetInfo   )      ->   Optional[int]:
 __lowerCAmelCase					:	Any      =       str(SCREAMING_SNAKE_CASE   )
 dataset_info.write_to_directory(SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	List[Any]      =       DatasetInfo.from_directory(SCREAMING_SNAKE_CASE   )
 assert dataset_info == reloaded
 assert os.path.exists(os.path.join(SCREAMING_SNAKE_CASE   ,   """dataset_info.json"""   )   )






def 	_SCREAMING_SNAKE_CASE		(      )      ->   int:
 __lowerCAmelCase					:	Optional[int]      =       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=1_337   ,   post_processing_size=442   ,   dataset_size=1_234   ,   size_in_bytes=1_337 + 442 + 1_234   ,   )
 __lowerCAmelCase					:	str      =       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)   )
 __lowerCAmelCase					:	Any      =       yaml.safe_dump(SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	Tuple      =       yaml.safe_load(SCREAMING_SNAKE_CASE   )
 assert dataset_info_yaml_dict == reloaded






def 	_SCREAMING_SNAKE_CASE		(      )      ->   Tuple:
 __lowerCAmelCase					:	Dict      =       DatasetInfo()
 __lowerCAmelCase					:	Tuple      =       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=1_337   ),
            }   ),
    ]   ,   )
def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:Optional[int]   ,   SCREAMING_SNAKE_CASE		:DatasetInfosDict   )      ->   List[str]:
 __lowerCAmelCase					:	Optional[Any]      =       str(SCREAMING_SNAKE_CASE   )
 dataset_infos_dict.write_to_directory(SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	List[Any]      =       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():
  __lowerCAmelCase					:	int      =       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
  __lowerCAmelCase					:	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(SCREAMING_SNAKE_CASE   ,   """README.md"""   )   )






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list   )      ->   Dict:
 _enforce_args(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
 if n == 0:
  return 0
 __lowerCAmelCase					:	Union[str, Any]      =       float("""-inf"""   )
 for i in range(1   ,   n + 1   ):
  __lowerCAmelCase					:	Union[str, Any]      =       max(
      SCREAMING_SNAKE_CASE   ,   prices[i - 1] + naive_cut_rod_recursive(n - i   ,   SCREAMING_SNAKE_CASE   )   )

 return max_revue






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list   )      ->   List[str]:
 _enforce_args(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	List[str]      =       [float("""-inf"""   ) for _ in range(n + 1   )]
 return _top_down_cut_rod_recursive(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list   ,   SCREAMING_SNAKE_CASE		:list   )      ->   List[str]:
 if max_rev[n] >= 0:
  return max_rev[n]
 elif n == 0:
  return 0
 else:
  __lowerCAmelCase					:	str      =       float("""-inf"""   )
  for i in range(1   ,   n + 1   ):
   __lowerCAmelCase					:	List[Any]      =       max(
       SCREAMING_SNAKE_CASE   ,   prices[i - 1] + _top_down_cut_rod_recursive(n - i   ,   SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )   ,   )

  __lowerCAmelCase					:	List[str]      =       max_revenue

 return max_rev[n]






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list   )      ->   Union[str, Any]:
 _enforce_args(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )

 # length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
 # length 0.
 __lowerCAmelCase					:	Optional[int]      =       [float("""-inf"""   ) for _ in range(n + 1   )]
 __lowerCAmelCase					:	List[str]      =       0

 for i in range(1   ,   n + 1   ):
  __lowerCAmelCase					:	Optional[Any]      =       max_rev[i]
  for j in range(1   ,   i + 1   ):
   __lowerCAmelCase					:	Optional[int]      =       max(SCREAMING_SNAKE_CASE   ,   prices[j - 1] + max_rev[i - j]   )

  __lowerCAmelCase					:	Optional[int]      =       max_revenue_i

 return max_rev[n]






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:int   ,   SCREAMING_SNAKE_CASE		:list   )      ->   List[Any]:
 if n < 0:
  __lowerCAmelCase					:	Any      =       F'''n must be greater than or equal to 0. Got n = {n}'''
  raise ValueError(SCREAMING_SNAKE_CASE   )

 if n > len(SCREAMING_SNAKE_CASE   ):
  __lowerCAmelCase					:	Any      =       (
      """Each integral piece of rod must have a corresponding price. """
      F'''Got n = {n} but length of prices = {len(SCREAMING_SNAKE_CASE   )}'''
  )
  raise ValueError(SCREAMING_SNAKE_CASE   )






def 	_SCREAMING_SNAKE_CASE		(      )      ->   Optional[int]:
 __lowerCAmelCase					:	Tuple      =       [6, 10, 12, 15, 20, 23]
 __lowerCAmelCase					:	List[str]      =       len(SCREAMING_SNAKE_CASE   )

 # the best revenue comes from cutting the rod into 6 pieces, each
 # of length 1 resulting in a revenue of 6 * 6 = 36.
 __lowerCAmelCase					:	Union[str, Any]      =       36

 __lowerCAmelCase					:	Optional[int]      =       top_down_cut_rod(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	List[str]      =       bottom_up_cut_rod(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	int      =       naive_cut_rod_recursive(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )

 assert expected_max_revenue == max_rev_top_down
 assert max_rev_top_down == max_rev_bottom_up
 assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
      main()