




def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_						)   ->       Optional[Any]:



       """simple docstring"""

       global f  # a global dp table for knapsack
       if f[i][j] < 0:
              if j < wt[i - 1]:
                     A__       =    mf_knapsack(i - 1 ,				lowercase_ ,				lowercase_ ,				lowercase_						)
              else:
                     A__       =    max(
                         mf_knapsack(i - 1 ,				lowercase_ ,				lowercase_ ,				lowercase_						) ,				mf_knapsack(i - 1 ,				lowercase_ ,				lowercase_ ,				j - wt[i - 1]						) + val[i - 1] ,				)
              A__       =    val
       return f[i][j]







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_						)   ->       str:



       """simple docstring"""

       A__       =    [[0] * (w + 1) for _ in range(n + 1						)]

       for i in range(1 ,				n + 1						):
              for w_ in range(1 ,				w + 1						):
                     if wt[i - 1] <= w_:
                            A__       =    max(val[i - 1] + dp[i - 1][w_ - wt[i - 1]] ,				dp[i - 1][w_]						)
                     else:
                            A__       =    dp[i - 1][w_]

       return dp[n][w_], dp







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_						)   ->       Dict:



       """simple docstring"""

       if not (isinstance(lowercase_ ,				(list, tuple)						) and isinstance(lowercase_ ,				(list, tuple)						)):
              raise ValueError(
                  '''Both the weights and values vectors must be either lists or tuples'''						)

       A__       =    len(lowercase_						)
       if num_items != len(lowercase_						):
              A__       =    (
                  '''The number of weights must be the same as the number of values.\n'''
                  f"""But got {num_items} weights and {len(lowercase_						)} values"""
              )
              raise ValueError(lowercase_						)
       for i in range(lowercase_						):
              if not isinstance(wt[i] ,				lowercase_						):
                     A__       =    (
                         '''All weights must be integers but got weight of '''
                         f"""type {type(wt[i]						)} at index {i}"""
                     )
                     raise TypeError(lowercase_						)

       A__ ,							A__       =    knapsack(lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_						)
       A__       =    set()
       _construct_solution(lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_						)

       return optimal_val, example_optional_set







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_ ,				lowercase_						)   ->       Tuple:



       """simple docstring"""

       if i > 0 and j > 0:
              if dp[i - 1][j] == dp[i][j]:
                     _construct_solution(lowercase_ ,				lowercase_ ,				i - 1 ,				lowercase_ ,				lowercase_						)
              else:
                     optimal_set.add(lowercase_						)
                     _construct_solution(lowercase_ ,				lowercase_ ,				i - 1 ,				j - wt[i - 1] ,				lowercase_						)


if __name__ == "__main__":
  _lowerCamelCase	:		str							       =   [3, 2, 4, 4]
  _lowerCamelCase	:		Tuple							       =   [4, 3, 2, 3]
  _lowerCamelCase	:		int							       =   4
  _lowerCamelCase	:		Any							       =   6
  _lowerCamelCase	:		Optional[int]							       =   [[0] * (w + 1)] + [[0] + [-1] * (w + 1) for _ in range(n + 1)]
  _lowerCamelCase       ,			_lowerCamelCase	:		str							       =   knapsack(w, wt, val, n)
  print(optimal_solution)
  print(mf_knapsack(n, wt, val, w))  # switched the n and w

  # testing the dynamic programming problem with example
  # the optimal subset for the above example are items 3 and 4
  _lowerCamelCase       ,			_lowerCamelCase	:		str							       =   knapsack_with_example_solution(w, wt, val)
  assert optimal_solution == 8
  assert optimal_subset == {3, 4}
  print("""optimal_value = """, optimal_solution)
  print("""An optimal subset corresponding to the optimal value""", optimal_subset)








import os

import pytest

from transformers.dynamic_module_utils import get_imports


_lowerCamelCase	:		Any							       =   """
import os
"""

_lowerCamelCase	:		Optional[int]							       =   """
def foo():
    import os
    return False
"""

_lowerCamelCase	:		List[Any]							       =   """
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except ImportError:
    raise ValueError()
"""

_lowerCamelCase	:		Union[str, Any]							       =   """
import os

def foo():
    try:
        import bar
    except ImportError:
        raise ValueError()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except (ImportError, AttributeError):
    raise ValueError()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except ImportError as e:
    raise ValueError()
"""

_lowerCamelCase	:		str							       =   """
import os

try:
    import bar
except:
    raise ValueError()
"""

_lowerCamelCase	:		Optional[Any]							       =   """
import os

try:
    import bar
    import baz
except ImportError:
    raise ValueError()
"""

_lowerCamelCase	:		Any							       =   """
import os

try:
    import bar
    import baz
except ImportError:
    x = 1
    raise ValueError()
"""

_lowerCamelCase	:		Dict							       =   [
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]







@pytest.mark.parametrize('''case''' ,				lowercase_						)
def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       int:



       """simple docstring"""

       A__       =    os.path.join(lowercase_ ,				'''test_file.py'''						)
       with open(lowercase_ ,				'''w'''						) as _tmp_file:
              _tmp_file.write(lowercase_						)

       A__       =    get_imports(lowercase_						)
       assert parsed_imports == ["os"]


