import numpy as np

def      lowercase_							(     _lowerCamelCase				:			str						,      _lowerCamelCase				:			List[str]						,      _lowerCamelCase				:			Tuple):
    lowercase__					:  Optional[Any]          =							n_draws * class_counts / class_counts.sum()
    # floored means we don't overshoot n_samples, but probably undershoot
    lowercase__					:  Any          =							np.floor(_lowerCamelCase)
    # we add samples according to how much "left over" probability
    # they had, until we arrive at n_samples
    lowercase__					:  Optional[Any]          =							int(n_draws - floored.sum())
    if need_to_add > 0:
        lowercase__					:  List[str]          =							continuous - floored
        lowercase__					:  Dict          =							np.sort(np.unique(_lowerCamelCase))[::-1]
        # add according to remainder, but break ties
        # randomly to avoid biases
        for value in values:
            ((lowercase__)   ,  )					:  Optional[int]          =							np.where(remainder == value)
            # if we need_to_add less than what's in inds
            # we draw randomly from them.
            # if we need to add more, we add them all and
            # go to the next value
            lowercase__					:  int          =							min(len(_lowerCamelCase)						,      _lowerCamelCase)
            lowercase__					:  Dict          =							rng.choice(_lowerCamelCase						,      size=_lowerCamelCase						,      replace=_lowerCamelCase)
            floored[inds] += 1
            need_to_add -= add_now
            if need_to_add == 0:
                break
    return floored.astype(np.intaa)

def      lowercase_							(     _lowerCamelCase				:			List[str]						,      _lowerCamelCase				:			Optional[int]						,      _lowerCamelCase				:			Optional[int]						,      _lowerCamelCase				:			str						,      _lowerCamelCase				:			str=10):
    lowercase__   ,  lowercase__					:  List[Any]          =							np.unique(_lowerCamelCase						,      return_inverse=_lowerCamelCase)
    lowercase__					:  Union[str, Any]          =							classes.shape[0]
    lowercase__					:  Union[str, Any]          =							np.bincount(_lowerCamelCase)
    if np.min(_lowerCamelCase) < 2:
        raise ValueError("Minimum class count error")
    if n_train < n_classes:
        raise ValueError(
            "The train_size = %d should be greater or " "equal to the number of classes = %d" % (n_train, n_classes))
    if n_test < n_classes:
        raise ValueError(
            "The test_size = %d should be greater or " "equal to the number of classes = %d" % (n_test, n_classes))
    lowercase__					:  Union[str, Any]          =							np.split(np.argsort(_lowerCamelCase						,      kind="mergesort")						,      np.cumsum(_lowerCamelCase)[:-1])
    for _ in range(_lowerCamelCase):
        lowercase__					:  Any          =							approximate_mode(_lowerCamelCase						,      _lowerCamelCase						,      _lowerCamelCase)
        lowercase__					:  Union[str, Any]          =							class_counts - n_i
        lowercase__					:  Optional[int]          =							approximate_mode(_lowerCamelCase						,      _lowerCamelCase						,      _lowerCamelCase)

        lowercase__					:  Any          =							[]
        lowercase__					:  List[Any]          =							[]

        for i in range(_lowerCamelCase):
            lowercase__					:  Optional[Any]          =							rng.permutation(class_counts[i])
            lowercase__					:  Tuple          =							class_indices[i].take(_lowerCamelCase						,      mode="clip")
            train.extend(perm_indices_class_i[: n_i[i]])
            test.extend(perm_indices_class_i[n_i[i] : n_i[i] + t_i[i]])
        lowercase__					:  str          =							rng.permutation(_lowerCamelCase)
        lowercase__					:  Optional[int]          =							rng.permutation(_lowerCamelCase)

        yield train, test




class     snake_case_			:






   def __init__( self							:	Optional[int]      ,		lowercase_							:	Optional[int]=None    )   ->		Optional[int]:
       lowercase__					:  List[Any]          =							data
       lowercase__					:  Any          =							None







   def __repr__( self							:	Optional[Any]    )   ->		int:
       lowercase__					:  Optional[int]          =							""
       lowercase__					:  Any          =							self
       while temp:
           string_rep += F'''<{temp.data}> ---> '''
           lowercase__					:  List[Any]          =							temp.next
       string_rep += "<END>"
       return string_rep



def      lowercase_							(     _lowerCamelCase				:			List[Any]):

    # if elements_list is empty
    if not elements_list:
        raise Exception("The Elements List is empty")

    # Set first element as Head
    lowercase__					:  List[str]          =							Node(elements_list[0])
    lowercase__					:  Tuple          =							head
    # Loop through elements from position 1
    for data in elements_list[1:]:
        lowercase__					:  Tuple          =							Node(_lowerCamelCase)
        lowercase__					:  Union[str, Any]          =							current.next
    return head


UpperCamelCase    				=		[1, 3, 5, 32, 44, 12, 43]
print(f"List: {list_data}")
print('''Creating Linked List from List.''')
UpperCamelCase    				=		make_linked_list(list_data)
print('''Linked List:''')

print(linked_list)



