






from __future__ import annotations

from collections import Counter

def        _lowerCamelCase		(  __A      :							int	) ->   list[int]:
    _UpperCAmelCase			: Any     					=			[True] * n
    _UpperCAmelCase			: List[Any]     					=			False
    _UpperCAmelCase			: Optional[int]     					=			False
    _UpperCAmelCase			: Union[str, Any]     					=			True

    for i in range(3						,						int(n**0.5 + 1	)						,						2	):
        _UpperCAmelCase			: Dict     					=			i * 2
        while index < n:
            _UpperCAmelCase			: Any     					=			False
            _UpperCAmelCase			: List[str]     					=			index + i

    _UpperCAmelCase			: int     					=			[2]

    for i in range(3						,						__A						,						2	):
        if is_prime[i]:
            primes.append(__A	)

    return primes

def        _lowerCamelCase		(  __A      :							int	) ->   list[list[int]]:
    _UpperCAmelCase			: str     					=			str(__A	)
    _UpperCAmelCase			: Union[str, Any]     					=			[]
    _UpperCAmelCase			: str     					=			['''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''']

    for duplicate in Counter(__A	) - Counter(set(__A	)	):
        _UpperCAmelCase			: Optional[int]     					=			[int(number_str.replace(__A						,						__A	)	) for digit in digits]
        replacements.append(__A	)

    return replacements

def        _lowerCamelCase		(  __A      :							int = 8	) ->   int:
    _UpperCAmelCase			: Dict     					=			set()

    # Filter primes with less than 3 replaceable digits
    _UpperCAmelCase			: List[Any]     					=			{
        x for x in set(prime_sieve(1_000_000	)	) if len(str(__A	)	) - len(set(str(__A	)	)	) >= 3
    }

    for prime in primes:
        if prime in numbers_checked:
            continue

        _UpperCAmelCase			: int     					=			digit_replacements(__A	)

        for family in replacements:
            numbers_checked.update(__A	)
            _UpperCAmelCase			: Dict     					=			primes.intersection(__A	)

            if len(__A	) != family_length:
                continue

            return min(__A	)

    return -1


if __name__ == "__main__":
  print(solution())












import json
import os
import pickle
import subprocess
from hashlib import mda
from pathlib import Path
from tempfile import gettempdir
from textwrap import dedent
from types import CodeType, FunctionType
from unittest import TestCase
from unittest.mock import patch

import pytest
from multiprocess import Pool
from packaging import version

import datasets
from datasets.fingerprint import Hasher, fingerprint_transform
from datasets.table import InMemoryTable

from .utils import (
    require_regex,
    require_spacy,
    require_spacy_model,
    require_tiktoken,
    require_torch,
    require_transformers,
)
class 							A_      :






 '''simple docstring'''




 def __init__(		self							,					_A)	->						List[Any]:

     """simple docstring"""



     _UpperCAmelCase			: List[Any]     					=			foo


 def __call__(		self)	->						List[Any]:

     """simple docstring"""



     return self.foo



class 							A_      (  datasets.Dataset     ):






 '''simple docstring'''




 @fingerprint_transform(inplace=_A)
 def 	snake_case__			(		self							,					_A							,					*_A							,					**_A)	->						str:

     """simple docstring"""



     return DatasetChild(self.data							,					fingerprint=_A)


 @fingerprint_transform(inplace=_A)
 def 	snake_case__			(		self							,					_A							,					*_A							,					**_A)	->						Optional[Any]:

     """simple docstring"""



     return DatasetChild(self.data							,					fingerprint=_A)



class 							A_      :






 '''simple docstring'''




 def __init__(		self							,					_A)	->						List[str]:

     """simple docstring"""



     _UpperCAmelCase			: Union[str, Any]     					=			callable


 def __call__(		self							,					*_A							,					**_A)	->						Optional[int]:

     """simple docstring"""



     if self.callable is not None:
         return self.callable(*_A							,					**_A)


 def __getstate__(		self)	->						Optional[Any]:

     """simple docstring"""



     raise pickle.PicklingError()



class 							A_      (  __lowercase     ):






 '''simple docstring'''




 @require_transformers
 @pytest.mark.integration
 def 	snake_case__			(		self)	->						Optional[Any]:

     """simple docstring"""



     from transformers import AutoTokenizer

     def encode(_A):
         return tokenizer(_A)

     # TODO: add hash consistency tests across sessions
     _UpperCAmelCase			: Tuple     					=			AutoTokenizer.from_pretrained('''bert-base-uncased''')
     _UpperCAmelCase			: int     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Optional[int]     					=			mda(datasets.utils.py_utils.dumps(lambda _A: tokenizer(_A))).hexdigest()
     _UpperCAmelCase			: Dict     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Union[str, Any]     					=			AutoTokenizer.from_pretrained('''bert-base-cased''')
     _UpperCAmelCase			: int     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: str     					=			mda(datasets.utils.py_utils.dumps(lambda _A: tokenizer(_A))).hexdigest()
     _UpperCAmelCase			: Any     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Union[str, Any]     					=			AutoTokenizer.from_pretrained('''bert-base-uncased''')
     _UpperCAmelCase			: Optional[int]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: List[str]     					=			mda(datasets.utils.py_utils.dumps(lambda _A: tokenizer(_A))).hexdigest()
     _UpperCAmelCase			: Optional[int]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 @require_transformers
 @pytest.mark.integration
 def 	snake_case__			(		self)	->						Any:

     """simple docstring"""



     from transformers import AutoTokenizer

     _UpperCAmelCase			: Union[str, Any]     					=			AutoTokenizer.from_pretrained('''gpt2''')
     _UpperCAmelCase			: Union[str, Any]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     tokenizer('''Hello world !''')  # call once to change the tokenizer's cache
     _UpperCAmelCase			: Optional[int]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)


 @require_regex
 def 	snake_case__			(		self)	->						Dict:

     """simple docstring"""



     import regex

     _UpperCAmelCase			: Optional[int]     					=			regex.Regex('''foo''')
     _UpperCAmelCase			: Union[str, Any]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: int     					=			regex.Regex('''bar''')
     _UpperCAmelCase			: int     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Optional[Any]     					=			regex.Regex('''foo''')
     _UpperCAmelCase			: List[str]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)



class 							A_      (  __lowercase     ):






 '''simple docstring'''




 def 	snake_case__			(		self)	->						Optional[Any]:

     """simple docstring"""



     def func():
         return foo

     _UpperCAmelCase			: List[str]     					=			[0]
     _UpperCAmelCase			: Dict     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: List[str]     					=			[1]
     _UpperCAmelCase			: Any     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Any     					=			[0]
     _UpperCAmelCase			: List[Any]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						List[Any]:

     """simple docstring"""



     def func():
         pass

     _UpperCAmelCase			: Union[str, Any]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()

     def func():
         pass

     _UpperCAmelCase			: Dict     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						Union[str, Any]:

     """simple docstring"""



     _UpperCAmelCase			: str     					=			mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
     _UpperCAmelCase			: List[str]     					=			mda(datasets.utils.py_utils.dumps(Foo([1]))).hexdigest()
     _UpperCAmelCase			: Dict     					=			mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						int:

     """simple docstring"""



     _UpperCAmelCase			: Any     					=			mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
     _UpperCAmelCase			: int     					=			mda(datasets.utils.py_utils.dumps(Foo([1]).__call__)).hexdigest()
     _UpperCAmelCase			: Optional[Any]     					=			mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						int:

     """simple docstring"""



     _UpperCAmelCase			: List[str]     					=			(
         '''co_argcount''',
         '''co_kwonlyargcount''',
         '''co_nlocals''',
         '''co_stacksize''',
         '''co_flags''',
         '''co_code''',
         '''co_consts''',
         '''co_names''',
         '''co_varnames''',
         '''co_filename''',
         '''co_name''',
         '''co_firstlineno''',
         '''co_lnotab''',
         '''co_freevars''',
         '''co_cellvars''',
     )

     def _create_code_pyaa(*_A):
         if hasattr(args[-3]							,					'''encode'''):
             _UpperCAmelCase			: Tuple     					=			list(_A)
             _UpperCAmelCase			: Optional[int]     					=			args[-3].encode()  # co_lnotab
             _UpperCAmelCase			: List[str]     					=			args[-10].encode()  # co_code
         if hasattr(_A							,					'''co_posonlyargcount'''):
             if len(_A) == 16:
                 return CodeType(*_A)
             elif len(_A) == 15:
                 return CodeType(args[0]							,					0							,					*args[1:])
             return CodeType(args[0]							,					0							,					0							,					*args[1:])
         elif hasattr(_A							,					'''co_kwonlyargcount'''):
             if len(_A) == 16:
                 return CodeType(args[0]							,					*args[2:])
             elif len(_A) == 15:
                 return CodeType(*_A)
             return CodeType(args[0]							,					0							,					*args[1:])
         if len(_A) == 16:
             return CodeType(args[0]							,					*args[3:])
         elif len(_A) == 15:
             return CodeType(args[0]							,					*args[2:])
         return CodeType(*_A)

     def create_ipython_func(_A							,					_A):
         def func():
             return returned_obj

         _UpperCAmelCase			: List[Any]     					=			func.__code__
         # Use _create_code from dill in order to make it work for different python versions
         if datasets.config.PY_VERSION < version.parse('''3.8'''):
             _UpperCAmelCase			: int     					=			_create_code_pyaa(
                 *[getattr(_A							,					_A) if k != '''co_filename''' else co_filename for k in code_args_pyaa])
         else:
             _UpperCAmelCase			: List[str]     					=			code.replace(co_filename=_A)
         return FunctionType(_A							,					func.__globals__							,					func.__name__							,					func.__defaults__							,					func.__closure__)

     _UpperCAmelCase					,	_UpperCAmelCase			: List[Any]     					=			'''<ipython-input-2-e0383a102aae>''', [0]
     _UpperCAmelCase			: Tuple     					=			mda(datasets.utils.py_utils.dumps(create_ipython_func(_A							,					_A))).hexdigest()
     _UpperCAmelCase					,	_UpperCAmelCase			: List[Any]     					=			'''<ipython-input-2-e0383a102aae>''', [1]
     _UpperCAmelCase			: Tuple     					=			mda(datasets.utils.py_utils.dumps(create_ipython_func(_A							,					_A))).hexdigest()
     _UpperCAmelCase					,	_UpperCAmelCase			: List[Any]     					=			'''<ipython-input-5-713f6613acf3>''', [0]
     _UpperCAmelCase			: List[str]     					=			mda(datasets.utils.py_utils.dumps(create_ipython_func(_A							,					_A))).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)

     _UpperCAmelCase					,	_UpperCAmelCase			: Union[str, Any]     					=			os.path.join(gettempdir()							,					'''ipykernel_12345'''							,					'''321456789.py'''), [0]
     _UpperCAmelCase			: Union[str, Any]     					=			mda(datasets.utils.py_utils.dumps(create_ipython_func(_A							,					_A))).hexdigest()
     _UpperCAmelCase					,	_UpperCAmelCase			: str     					=			os.path.join(gettempdir()							,					'''ipykernel_12345'''							,					'''321456789.py'''), [1]
     _UpperCAmelCase			: List[str]     					=			mda(datasets.utils.py_utils.dumps(create_ipython_func(_A							,					_A))).hexdigest()
     _UpperCAmelCase					,	_UpperCAmelCase			: Union[str, Any]     					=			os.path.join(gettempdir()							,					'''ipykernel_12345'''							,					'''654123987.py'''), [0]
     _UpperCAmelCase			: Any     					=			mda(datasets.utils.py_utils.dumps(create_ipython_func(_A							,					_A))).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						Union[str, Any]:

     """simple docstring"""



     _UpperCAmelCase					,	_UpperCAmelCase			: List[str]     					=			[0], [1]

     def func():
         return foo, bar

     _UpperCAmelCase			: List[str]     					=			'''__main__'''

     def globalvars_mocka_side_effect(_A							,					*_A							,					**_A):
         return {"foo": foo, "bar": bar}

     def globalvars_mocka_side_effect(_A							,					*_A							,					**_A):
         return {"bar": bar, "foo": foo}

     with patch('''dill.detect.globalvars'''							,					side_effect=_A) as globalvars_mocka:
         _UpperCAmelCase			: Optional[Any]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
         self.assertGreater(globalvars_mocka.call_count							,					0)
     with patch('''dill.detect.globalvars'''							,					side_effect=_A) as globalvars_mocka:
         _UpperCAmelCase			: List[str]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
         self.assertGreater(globalvars_mocka.call_count							,					0)
     self.assertEqual(_A							,					_A)



class 							A_      (  __lowercase     ):






 '''simple docstring'''




 def 	snake_case__			(		self)	->						List[str]:

     """simple docstring"""



     _UpperCAmelCase			: Optional[int]     					=			Hasher.hash('''hello''')
     _UpperCAmelCase			: Union[str, Any]     					=			Hasher.hash('''hello''')
     _UpperCAmelCase			: Tuple     					=			Hasher.hash('''there''')
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						List[Any]:

     """simple docstring"""



     _UpperCAmelCase			: Union[str, Any]     					=			Hasher.hash(Foo('''hello'''))
     _UpperCAmelCase			: Optional[int]     					=			Hasher.hash(Foo('''hello'''))
     _UpperCAmelCase			: Any     					=			Hasher.hash(Foo('''there'''))
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						Optional[int]:

     """simple docstring"""



     _UpperCAmelCase			: List[Any]     					=			Hasher()
     for x in ["hello", Foo('''hello''')]:
         hasher.update(_A)
     _UpperCAmelCase			: Optional[Any]     					=			hasher.hexdigest()
     _UpperCAmelCase			: Optional[Any]     					=			Hasher()
     for x in ["hello", Foo('''hello''')]:
         hasher.update(_A)
     _UpperCAmelCase			: Optional[int]     					=			hasher.hexdigest()
     _UpperCAmelCase			: Optional[int]     					=			Hasher()
     for x in ["there", Foo('''there''')]:
         hasher.update(_A)
     _UpperCAmelCase			: Optional[int]     					=			hasher.hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 def 	snake_case__			(		self)	->						Optional[Any]:

     """simple docstring"""



     with self.assertRaises(pickle.PicklingError):
         Hasher.hash(UnpicklableCallable(Foo('''hello''')))


 def 	snake_case__			(		self)	->						int:

     """simple docstring"""



     _UpperCAmelCase			: List[str]     					=			'''abc'''
     _UpperCAmelCase			: List[Any]     					=			[string, string]  # two strings have the same ids
     _UpperCAmelCase			: int     					=			[string, string]
     _UpperCAmelCase			: List[str]     					=			json.loads(f'''["{string}", "{string}"]''')  # two strings have different ids
     self.assertIs(obja[0]							,					_A)
     self.assertIs(obja[0]							,					obja[1])
     self.assertIs(obja[0]							,					_A)
     self.assertIs(obja[0]							,					obja[1])
     self.assertIsNot(obja[0]							,					_A)
     self.assertIsNot(obja[0]							,					obja[1])
     _UpperCAmelCase			: List[Any]     					=			Hasher.hash(_A)
     _UpperCAmelCase			: int     					=			Hasher.hash(_A)
     _UpperCAmelCase			: List[str]     					=			Hasher.hash(_A)
     self.assertEqual(_A							,					_A)
     self.assertEqual(_A							,					_A)


 @require_tiktoken
 def 	snake_case__			(		self)	->						Any:

     """simple docstring"""



     import tiktoken

     _UpperCAmelCase			: List[str]     					=			tiktoken.get_encoding('''gpt2''')
     _UpperCAmelCase			: Dict     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: List[str]     					=			tiktoken.get_encoding('''r50k_base''')
     _UpperCAmelCase			: Optional[Any]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: List[str]     					=			tiktoken.get_encoding('''gpt2''')
     _UpperCAmelCase			: Tuple     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 @require_torch
 def 	snake_case__			(		self)	->						Optional[int]:

     """simple docstring"""



     import torch

     _UpperCAmelCase			: Optional[int]     					=			torch.tensor([1.0])
     _UpperCAmelCase			: Any     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Optional[Any]     					=			torch.tensor([2.0])
     _UpperCAmelCase			: List[str]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Any     					=			torch.tensor([1.0])
     _UpperCAmelCase			: Dict     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)


 @require_spacy
 @require_spacy_model('''en_core_web_sm''')
 @require_spacy_model('''fr_core_news_sm''')
 @pytest.mark.integration
 def 	snake_case__			(		self)	->						Tuple:

     """simple docstring"""



     import spacy

     _UpperCAmelCase			: Optional[int]     					=			spacy.load('''en_core_web_sm''')
     _UpperCAmelCase			: Union[str, Any]     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: Dict     					=			spacy.load('''fr_core_news_sm''')
     _UpperCAmelCase			: str     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     _UpperCAmelCase			: List[str]     					=			spacy.load('''en_core_web_sm''')
     _UpperCAmelCase			: Tuple     					=			mda(datasets.utils.py_utils.dumps(_A)).hexdigest()
     self.assertEqual(_A							,					_A)
     self.assertNotEqual(_A							,					_A)



@pytest.mark.integration
def        _lowerCamelCase		(  __A      :							Path	) ->   int:
    _UpperCAmelCase			: Union[str, Any]     					=			tmp_path / '''dir1'''
    _UpperCAmelCase			: int     					=			tmp_path / '''dir2'''
    dira.mkdir()
    dira.mkdir()
    _UpperCAmelCase			: List[str]     					=			'''script.py'''
    _UpperCAmelCase			: str     					=			dedent(
        '''
    from datasets.fingerprint import Hasher
    def foo():
        pass
    print(Hasher.hash(foo))
    '''	)
    _UpperCAmelCase			: Optional[Any]     					=			dira / script_filename
    _UpperCAmelCase			: List[Any]     					=			dira / script_filename
    with script_patha.open('''w'''	) as f:
        f.write(__A	)
    with script_patha.open('''w'''	) as f:
        f.write(__A	)
    _UpperCAmelCase			: Union[str, Any]     					=			subprocess.check_output(['''python''', str(__A	)]	)
    _UpperCAmelCase			: str     					=			subprocess.check_output(['''python''', str(__A	)]	)
    assert fingerprinta == fingerprinta

def        _lowerCamelCase		(  ) ->   Optional[int]:
    _UpperCAmelCase			: Union[str, Any]     					=			{'''a''': [0, 1, 2]}
    _UpperCAmelCase			: Union[str, Any]     					=			DatasetChild(InMemoryTable.from_pydict(__A	)	)
    _UpperCAmelCase			: Optional[Any]     					=			dataset.funca()._fingerprint
    assert expected_fingerprint == dataset.funca()._fingerprint
    assert expected_fingerprint != dataset.funca()._fingerprint

    with Pool(2	) as p:
        assert expected_fingerprint == p.apply_async(dataset.funca	).get()._fingerprint
        assert expected_fingerprint != p.apply_async(dataset.funca	).get()._fingerprint

def        _lowerCamelCase		(  ) ->   str:
    _UpperCAmelCase			: str     					=			{'''a''': [0, 1, 2]}
    class 							A_      (  datasets.Dataset     ):






     '''simple docstring'''




     @fingerprint_transform(inplace=_A)
     def 	snake_case__			(		self							,					_A)	->						Optional[int]:

         """simple docstring"""



         return DummyDatasetChild(self.data							,					fingerprint=_A)



    _UpperCAmelCase			: Tuple     					=			DummyDatasetChild(InMemoryTable.from_pydict(__A	)	).func()
    class 							A_      (  datasets.Dataset     ):






     '''simple docstring'''




     @fingerprint_transform(inplace=_A							,					version='''1.0.0''')
     def 	snake_case__			(		self							,					_A)	->						List[str]:

         """simple docstring"""



         return DummyDatasetChild(self.data							,					fingerprint=_A)



    _UpperCAmelCase			: str     					=			DummyDatasetChild(InMemoryTable.from_pydict(__A	)	).func()
    class 							A_      (  datasets.Dataset     ):






     '''simple docstring'''




     @fingerprint_transform(inplace=_A							,					version='''2.0.0''')
     def 	snake_case__			(		self							,					_A)	->						List[str]:

         """simple docstring"""



         return DummyDatasetChild(self.data							,					fingerprint=_A)



    _UpperCAmelCase			: str     					=			DummyDatasetChild(InMemoryTable.from_pydict(__A	)	).func()

    assert len({fingeprint_no_version, fingeprint_a, fingeprint_a}	) == 3


def        _lowerCamelCase		(  ) ->   List[str]:
    # AttributeError: module 'dill._dill' has no attribute 'stack'
    _UpperCAmelCase			: Dict     					=			Hasher()
    hasher.update(lambda __A	: x	)




