You have d dice, and each die has f faces numbered 1, 2, ..., f.
Return the number of possible ways (out of fd total ways) modulo 10^9 + 7 to roll the dice so the sum of the face up numbers equals target.
 
Example 1:
Input: d = 1, f = 6, target = 3
Output: 1
Explanation: 
You throw one die with 6 faces.  There is only one way to get a sum of 3.

Example 2:
Input: d = 2, f = 6, target = 7
Output: 6
Explanation: 
You throw two dice, each with 6 faces.  There are 6 ways to get a sum of 7:
1+6, 2+5, 3+4, 4+3, 5+2, 6+1.

Example 3:
Input: d = 2, f = 5, target = 10
Output: 1
Explanation: 
You throw two dice, each with 5 faces.  There is only one way to get a sum of 10: 5+5.

Example 4:
Input: d = 1, f = 2, target = 3
Output: 0
Explanation: 
You throw one die with 2 faces.  There is no way to get a sum of 3.

Example 5:
Input: d = 30, f = 30, target = 500
Output: 222616187
Explanation: 
The answer must be returned modulo 10^9 + 7.

 
Constraints:

1 <= d, f <= 30
1 <= target <= 1000

```python

USER_FILENAME = "<user_code>"
import sys, json, builtins
import math, heapq, bisect, itertools, functools, collections, statistics, fractions, decimal, operator, array, random, re, string, os, pathlib
try:
    import resource as _res
except Exception:
    _res = None
from collections import Counter, defaultdict, deque, OrderedDict
from functools import lru_cache, reduce
from itertools import accumulate, permutations, combinations, product
from math import gcd, ceil, floor, sqrt
from decimal import Decimal
try:
    from typing import *
except Exception:
    pass
try:
    sys.setrecursionlimit(1_000_000)
except Exception:
    pass
try:
    import site as _site
    try:
        _sys_sites = _site.getsitepackages() if hasattr(_site, "getsitepackages") else []
        for _p in _sys_sites:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
    try:
        _usp = _site.getusersitepackages()
        if isinstance(_usp, str):
            _usp = [_usp]
        for _p in _usp:
            if _p and _p not in sys.path:
                sys.path.append(_p)
    except Exception:
        pass
except Exception:
    pass

def _disabled_input(*args, **kwargs):
    raise RuntimeError("input() is disabled in callable mode")
builtins.input = _disabled_input

ns = {"__name__": "__judge__"}  # prevent if __name__ == "__main__" blocks
for _k, _v in list(globals().items()):
    if not _k.startswith("_"):
        ns[_k] = _v
_CODE = 'class Solution:\n    # Recursive memoized solution\n#     def numRollsToTarget(self, d: int, f: int, target: int) -> int:\n#         memo = {}\n#         def num_rolls_util(level, target):\n#             if level * f < target or target < level:\n#                 return 0\n#             if level == 0:\n#                 return 1\n            \n#             res = 0\n#             for i in range(max(0, target - f), target):\n#                 if (level-1, i) in memo:\n#                     res += memo[(level-1, i)]\n#                 else:\n#                     tmp = num_rolls_util(level - 1, i)\n#                     memo[(level-1, i)] = tmp\n#                     res += tmp\n\n#             return res % (10 ** 9 + 7)\n        \n#         return num_rolls_util(d, target)\n    \n    # O(d * f * target) iterative\n#     def numRollsToTarget(self, d: int, f: int, target: int) -> int:\n#         mod = 10 ** 9 + 7\n#         dp = [[0] * (target + 1) for _ in range(d+1)]\n#         dp[0][0] = 1\n        \n#         for i in range(1, d+1):\n#             for j in range(1, min(target, i * f) + 1):\n#                 for k in range(1, min(j, f) + 1):\n#                     dp[i][j] += dp[i-1][j-k] % mod\n        \n#         return dp[d][target] % mod        \n    \n    def numRollsToTarget(self, d: int, f: int, target: int) -> int:\n        # row: target value, col: number of dices\n        dp: List[List[int]] = [[0] * (d + 1) for _ in range(target + 1)]\n        for i in range(1, f + 1):  # initialize first col\n            if i <= target:\n                dp[i][1] = 1\n            else:\n                break\n        for j in range(2, d + 1):  # populate rest of dp matrix\n            for i in range(j, target + 1):\n                dp[i][j] = dp[i - 1][j - 1] + dp[i - 1][j] - dp[i - min(i - 1, f) - 1][j - 1]  # line *\n        return dp[target][d] % (10**9 + 7)'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'numRollsToTarget'
if _fn_name:
    if "Solution" in ns:
        try:
            _obj = ns["Solution"]()
            if hasattr(_obj, _fn_name):
                _target = getattr(_obj, _fn_name)
        except Exception:
            _target = None
    if _target is None and _fn_name in ns and callable(ns[_fn_name]):
        _target = ns[_fn_name]
# Fallback: if there's exactly one user-defined function, use it
if _target is None:
    _cands = [v for k, v in ns.items() if callable(v) and getattr(v, "__module__", "") in ("__judge__", "__main__")]
    _user_funcs = [c for c in _cands if getattr(c, "__name__", "").startswith("_") is False]
    if len(_user_funcs) == 1:
        _target = _user_funcs[0]
if _target is None:
    raise RuntimeError(f"Could not resolve callable '{_fn_name}'")

_raw = sys.stdin.read().strip()
if _raw:
    _parsed = json.loads(_raw)
    if isinstance(_parsed, dict):
        _kwargs = _parsed.get("kwargs", {})
        _args = _parsed.get("args", [])
    else:
        _args, _kwargs = _parsed, {}
else:
    _args, _kwargs = [], {}
if not isinstance(_args, (list, tuple)):
    _args = [_args]
_res = _target(*_args, **_kwargs)
try:
    sys.stdout.write(repr(_res) + "\n")
except Exception:
    pass

```

Measured memory_bytes: 6112