###Story
Sometimes we are faced with problems when we have a big nested dictionary with which it's hard to work. Now, we need to solve this problem by writing a function that will flatten a given dictionary.

###Info
Python dictionaries are a convenient data type to store and process configurations. They allow you to store data by keys to create nested structures. You are given a dictionary where the keys are strings and the values are strings or dictionaries. The goal is flatten the dictionary, but save the structures in the keys. The result should be a dictionary without the nested dictionaries. The keys should contain paths that contain the parent keys from the original dictionary. The keys in the path are separated by a `/`. If a value is an empty dictionary, then it should be replaced by an empty string `""`.

###Examples
```python
{
    "name": {
        "first": "One",
        "last": "Drone"
    },
    "job": "scout",
    "recent": {},
    "additional": {
        "place": {
            "zone": "1",
            "cell": "2"
        }
    }
}
```
The result will be:
```python
{"name/first": "One",           #one parent
 "name/last": "Drone",
 "job": "scout",                #root key
 "recent": "",                  #empty dict
 "additional/place/zone": "1",  #third level
 "additional/place/cell": "2"}
```

***`Input: An original dictionary as a dict.`***
***`Output: The flattened dictionary as a dict.`***
***`Precondition:
Keys in a dictionary are non-empty strings.
Values in a dictionary are strings or dicts.
root_dictionary != {}`***

```python
flatten({"key": "value"}) == {"key": "value"}
flatten({"key": {"deeper": {"more": {"enough": "value"}}}}) == {"key/deeper/more/enough": "value"}
flatten({"empty": {}}) == {"empty": ""}
```

```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 flatten(dictionary):\n    result = {}\n    for k, v in dictionary.items():\n        if v == {}:\n            result[k] = ""\n        elif isinstance(v, dict):\n            for l, w in flatten(v).items():\n                result[k + \'/\' + l] = w\n        else:\n            result[k] = v\n    return result'
_co = compile(_CODE, USER_FILENAME, "exec")
exec(_co, ns, ns)

_target = None
_fn_name = 'flatten'
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: 5748