Some languages like Chinese, Japanese, and Thai do not have spaces between words. However, most natural languages processing tasks like part-of-speech tagging require texts that have segmented words. A simple and reasonably effective algorithm to segment a sentence into its component words is called "MaxMatch".

## MaxMatch
MaxMatch starts at the first character of a sentence and tries to find the longest valid word starting from that character. If no word is found, the first character is deemed the longest "word", regardless of its validity. In order to find the rest of the words, MaxMatch is then recursively invoked on all of the remaining characters until no characters remain. A list of all of the words that were found is returned.

So for the string `"happyday"`, `"happy"` is found because `"happyday"` is not a valid word, nor is `"happyda"`, nor `"happyd"`. Then, MaxMatch is called on `"day"`, and `"day"` is found. The output is the list `["happy", "day"]` in that order.

## The Challenge

```if:javascript
Write `maxMatch`, which takes an alphanumeric, spaceless, lowercased `String` as input and returns an `Array` of all the words found, in the order they were found.
**All valid words are in the** `Set` `VALID_WORDS`, which only contains around 500 English words.
```
```if:haskell
Write `maxMatch`, which takes an alphanumeric, spaceless, lowercased `String` as input and returns a `[String]` of all the words found, in the order they were found. All valid words are in the `[String]` `validWords`, which only contains around 500 English words.
```
```if:java
Write `maxMatch`, which takes an alphanumeric, spaceless, lowercased `String` as input and returns a `List` of `String`s which are all the words found, in the order they were found. All valid words are in the `Set` `Preloaded.VALID_WORDS`, , which only contains around 500 English words.
```
```if:python
Write `max_match`, which takes an alphanumeric, spaceless, lowercased `String` as input and returns a `List` of `String`s of all the words found, in the order they were found. **All valid words are in the** `Set` `VALID_WORDS`, which only contains around 500 English words.
```
```if:ruby
Write `max_match`, which takes an alphanumeric, spaceless, lowercased `String` as input and returns an `Array` of `String`s of all the words found, in the order they were found. All valid words are in the `Array` `VALID_WORDS`, which only contains around 500 English words.
```
```if:kotlin
Write `maxMatch`, which takes an alphanumeric, spaceless, lowercased `String` as input and returns a `List` of `String`s which are all the words found, in the order they were found. All valid words are in the `Set` `VALID_WORDS`, which only contains around 500 English words.
```
**Note:** This algorithm is simple and operates better on Chinese text, so accept the fact that some words will be segmented wrongly.

Happy coding :)

```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 = 'def max_match(sentence: str):\n    if not sentence:\n        return []\n\n    word, i = next(filter(lambda w: w[0] in VALID_WORDS, ((sentence[:i], i) for i in range(len(sentence) + 1, 1, -1))),\n                   (sentence[0], 1))\n\n    return [word] + max_match(sentence[i:])'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'max_match'
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: 5552