





'''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 							_lowerCamelCase(  UpperCamelCase__    : List[str]    ,       UpperCamelCase__    : Any		)		->  Optional[Any]:
    A       :       Any							=						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}}'''		)
    A       :       str							=						DatasetInfosDict.from_directory(UpperCamelCase__		)
    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 							_lowerCamelCase(  UpperCamelCase__    : Tuple    ,       UpperCamelCase__    : DatasetInfo		)		->  Tuple:
    A       :       List[str]							=						str(UpperCamelCase__		)
    dataset_info.write_to_directory(UpperCamelCase__		)
    A       :       int							=						DatasetInfo.from_directory(UpperCamelCase__		)
    assert dataset_info == reloaded
    assert os.path.exists(os.path.join(UpperCamelCase__    ,       '''dataset_info.json'''		)		)
def 							_lowerCamelCase(  )		->  Union[str, Any]:
    A       :       List[str]							=						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    ,       )
    A       :       Any							=						dataset_info._to_yaml_dict()
    assert sorted(UpperCamelCase__		) == 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)		)
    A       :       str							=						yaml.safe_dump(UpperCamelCase__		)
    A       :       Optional[Any]							=						yaml.safe_load(UpperCamelCase__		)
    assert dataset_info_yaml_dict == reloaded
def 							_lowerCamelCase(  )		->  List[str]:
    A       :       Optional[int]							=						DatasetInfo()
    A       :       Optional[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=1_337		),
            }		),
    ]    ,       )
def 							_lowerCamelCase(  UpperCamelCase__    : int    ,       UpperCamelCase__    : DatasetInfosDict		)		->  Union[str, Any]:
    A       :       str							=						str(UpperCamelCase__		)
    dataset_infos_dict.write_to_directory(UpperCamelCase__		)
    A       :       Any							=						DatasetInfosDict.from_directory(UpperCamelCase__		)

    # the config_name of the dataset_infos_dict take over the attribute
    for config_name, dataset_info in dataset_infos_dict.items():
        A       :       List[str]							=						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
        A       :       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(UpperCamelCase__    ,       '''README.md'''		)		)







'''simple docstring'''






def 							_lowerCamelCase(  UpperCamelCase__    : Optional[int]    ,       UpperCamelCase__    : str		)		->  Optional[int]:
    A       :       Optional[int]							=						0
    A       :       str							=						len(UpperCamelCase__		) - 1

    while left <= right:
        # avoid divided by 0 during interpolation
        if sorted_collection[left] == sorted_collection[right]:
            if sorted_collection[left] == item:
                return left
            else:
                return None

        A       :       Any							=						left + ((item - sorted_collection[left]) * (right - left)) // (
            sorted_collection[right] - sorted_collection[left]
        )

        # out of range check
        if point < 0 or point >= len(UpperCamelCase__		):
            return None

        A       :       Union[str, Any]							=						sorted_collection[point]
        if current_item == item:
            return point
        else:
            if point < left:
                A       :       Tuple							=						left
                A       :       Tuple							=						point
            elif point > right:
                A       :       Optional[Any]							=						right
                A       :       str							=						point
            else:
                if item < current_item:
                    A       :       Tuple							=						point - 1
                else:
                    A       :       Optional[Any]							=						point + 1
    return None
def 							_lowerCamelCase(  UpperCamelCase__    : Dict    ,       UpperCamelCase__    : str    ,       UpperCamelCase__    : Dict    ,       UpperCamelCase__    : List[str]		)		->  List[Any]:

    # avoid divided by 0 during interpolation
    if sorted_collection[left] == sorted_collection[right]:
        if sorted_collection[left] == item:
            return left
        else:
            return None

    A       :       Dict							=						left + ((item - sorted_collection[left]) * (right - left)) // (
        sorted_collection[right] - sorted_collection[left]
    )

    # out of range check
    if point < 0 or point >= len(UpperCamelCase__		):
        return None

    if sorted_collection[point] == item:
        return point
    elif point < left:
        return interpolation_search_by_recursion(UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__		)
    elif point > right:
        return interpolation_search_by_recursion(UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__		)
    else:
        if sorted_collection[point] > item:
            return interpolation_search_by_recursion(
                UpperCamelCase__    ,       UpperCamelCase__    ,       UpperCamelCase__    ,       point - 1		)
        else:
            return interpolation_search_by_recursion(
                UpperCamelCase__    ,       UpperCamelCase__    ,       point + 1    ,       UpperCamelCase__		)
def 							_lowerCamelCase(  UpperCamelCase__    : Optional[int]		)		->  List[Any]:
    if collection != sorted(UpperCamelCase__		):
        raise ValueError('''Collection must be ascending sorted'''		)
    return True


if __name__ == "__main__":
     import sys
     snake_case_     =	0
     if debug == 1:
          snake_case_     =	[10, 30, 40, 45, 50, 66, 77, 93]
          try:
               __assert_sorted(collection)
          except ValueError:
               sys.exit("""Sequence must be ascending sorted to apply interpolation search""")
          snake_case_     =	67

     snake_case_     =	interpolation_search(collection, target)
     if result is not None:
          print(f'''{target} found at positions: {result}''')
     else:
          print("""Not found""")
