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[{"$cut":{"chars":77090,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.3], [[1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.05], [[1.0, 2.0, 5.9, 4.0, 5.0], 0.95], [[1.0, 2.0, 5.9, 4.0, 5.0], 0.8], [[1.0, 2.0, 3.0, 4.0, 5.0, 2.0], 0.1], [[1.1, 2.2, 3.1, 4.1, 5.1], 1.0], [[1.1, 2.2, 3.1, 4.1, 5.1], 0.5], [[1.0, 2.5, 3.0, 4.5, 5.0, 6.5], 0.4], [[1.0, 2.0, 3.0, 2.9, 5.0, 6.0], 0.1], [[0.5, 0.6, 0.7, 0.8, 0.9], 0.05], [[10.5, 20.5, 30.5, 25.5, 40.5], 4.0], [[1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7], 0.2], [[0.1, 0.5, 1.0, 1.5, 2.0], 0.1], [[1.2, 2.4, 3.6, 4.8], 0.8], [[-1.0, -0.5, 0.0, 0.5, 1.0], 0.3], [[-2.0, 2.0, 3.0, 4.0], 1.5], [[1.0, 2.0, 3.0, 4.0, 5.0], 0.5], [[1.0, 2.0, 2.9, 5.0, 6.0], 4.4], [[1.0, 2.0, 3.0, 4.0, 5.0], 1.0], [[1.0, 2.0, 3.0, 4.0, 5.0, 4.0], 6.6], [[1.0, 2.5, 3.0, 4.5, 5.0, 6.5], 0.5837785211547324], [[1.0, 2.0, 3.0, 6.0], 1.4684959831900988], [[1.0, 2.0, 3.0, 4.0, 5.0, 4.0], 1.5], [[0.1, 0.5, 1.0, 1.5, 2.0], 5.0], [[1.0, 2.0, 3.0, 6.0], 0.5], [[1.0, 2.0, 3.0, 4.0, 5.0, 4.0, 3.1145064227603365], 1.5], [[1.0, 2.0, 3.0, 2.9, 5.0, 6.0, 6.6], 0.1], [[-2.0, 2.0, 3.0, 4.0], 1.7909669082553559], [[-1.0, -0.5, 0.0, 0.5, 1.0], 0.05], [[0.1, 0.5, 1.5, 2.0], 0.1], [[10.5, 20.5, 30.5, 25.5, 40.5, -1.0], 4.0], [[1.0, 1.4684959831900988, 3.0, 4.0, 5.0, 4.0], 6.6], [[1.0, 2.0, 3.0], 1.4684959831900988], [[1.0, 2.0, 3.0, 2.9, 5.0, 3.1145064227603365, 6.6], 0.001597775988153055], [[1.0, 2.0, 3.0, 4.0, 5.0, 4.0, 0.001597775988153055], 6.622770022559026], [[0.5, 0.7, 0.8, 0.9], 0.05], [[1.0, 2.0, 3.0, 4.0, 5.0], 1.4453152842907233], [[1.0, 2.5, 3.0, 4.5, 5.0, 6.5], 0.3], [[2.2, 3.3, 4.4, 5.5, 6.6, 7.7], 0.2], [[1.0, 3.0, 4.0, 5.0], 0.5], [[0.1, 0.5, 1.0, 1.5, 2.0, 0.5], 0.4], [[1.0, 2.0, 3.0, 2.9, 5.0, 6.0, 2.0, 2.0], 0.4395081641974091], [[1.0, 2.5, 3.0, 4.5, 6.5], 0.3], [[1.0, 2.0, 3.0, 4.0, 5.0, 2.4442803957785837, 1.0], 0.5], [[1.0, 3.0, 4.0, 5.0], 30.5], [[1.0, 2.5, 3.0, 4.5, 5.0, 5.40171670636793, 5.40171670636793], 0.3], [[0.5, 0.6, 0.7, 0.8], 3.1145064227603365], [[1.0, 2.0, 6.0], 1.4684959831900988], [[1.2, 2.4, 5.5, 4.8], 2.4], [[2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 5.5], 0.2], [[1.0, 2.0, 3.0, 6.0], 0.4], [[-2.0, 3.0, 4.0], 1.7909669082553559], [[0.1, 0.5, 1.0, 1.5, 2.0], 0.4], [[0.1, 0.5, 1.0, 1.5, 2.0, 6.0], 4.029509770611085], [[1.2, 2.4, 6.622770022559026, 4.8], 3.0791117034371744], [[1.0, 2.5, 3.0, 4.5, 5.0, 6.5, 5.51097214523066], 0.5837785211547324], [[0.1, 0.5, 1.0, 1.5, 2.0], 4.8], [[1.0, 2.0, 3.0, 2.9, 5.0, 3.1145064227603365, 6.6], 25.5], [[1.0, 2.0, 3.0, 2.9, 5.0, 6.0, 2.0, 2.0], 10.5], [[1.0, 3.0], 4.28359856787508], [[1.0, 2.0, 3.0, 2.9, 6.0], 0.1], [[1.2, 2.4, 6.32960401348287, 4.8], 2.4], [[-2.0, 4.029509770611085, 3.0, 4.0], 1.5], [[1.2, 2.4, 6.32960401348287, 4.8], 2.5], [[1.0, 2.0, 3.0, 2.9, 5.0, 6.0, 2.0], 0.1], [[1.2, 2.4, 6.32960401348287, 4.8], 0.1], [[1.2, 2.4, 6.32960401348287, 4.220732489926661], 1.5434921314453987], [[-1.0, -0.5, 0.0, 0.5, 1.0], 3.0791117034371744], [[2.0, 3.0], 0.4], [[0.1, 0.5, 1.0, 1.5, 2.0, 0.5], 0.5872031050795127], [[10.5, 20.5, 30.5, 25.5, 40.5], 4.08640576656449], [[0.5, 0.7, 0.8, 0.9], 0.5956038469909051], [[1.0, 2.0, 3.0, 4.0, 5.0, 4.0, 3.1145064227603365, 3.7502832308571223], 1.5], [[-2.0, 2.0, 3.0, 4.0], 6.622770022559026], [[10.5, 30.5, 25.5, 40.5], 4.08640576656449], [[0.1, 0.5, 1.0, 1.5, 2.0], 0.5872031050795127], [[1.0, 2.0, 3.0, 4.0, 5.0, 4.0, 0.001597775988153055, 4.08640576656449], 6.622770022559026], [[1.0, 2.0, 3.0, 6.0, 2.0], 0.4], [[1.2, 2.4, 6.32960401348287, 4.8, 2.4], 2.4"}},"338087b7a07338dadb5fa759bf391134"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1.0, 2.0, 3.0], 0.5], [[1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3]]\n    results = [False, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(has_close_elements)\n\n\n\nprint('___SENTINEL___')\n","3c27665677afdc42f48b33543c1a714f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['(()()) ((())) () ((())()())'], ['() (()) ((())) (((())))'], ['(()(())((())))'], ['( ) (( )) (( )( ))'], ['()'], ['(())'], ['((()))()'], ['()()()'], ['()(()())()'], ['(((()()((())))))'], ['((()()))(())'], ['()(()()((())))'], ['()()()(((()())))()(())'], ['(((())))()((()()))'], ['(((())))()(((())))()((()()))((()()))'], ['((((((())))()(((())))()((()()))((()())))()))(())'], ['()(()())()(()()((())))()'], ['()(()()((()))(((()()((()))))))'], ['()()((((()()((()))))))'], ['()()((((()()((()))))()()()))'], ['()()()(((()())))()((()))'], ['((()()((((((())))()(((())))()((()()))((()())))()))(())))(())'], ['()()()(()()()(((()())))()((()))((()())))()(())'], ['()()(()())()(()())()'], ['(((()))())()((()()))'], ['()()(()())()(()()((()))())()'], ['()()((((()()((()))))))()(()())()(()()((())))()'], ['()()(((((()()((()))))))()(()())()(()))()'], ['((() ((()()((((((  )))))))()()))) (()(()))()(()())'], ['((( ) ((( )) () (( ))))) (((( )))) (( ))'], ['(()) (()) ((() ((())))()) ((())(()))()'], ['((()) ()) ()(()) (()(())())'], ['((()) (())() (())(()))()(((())))((()()))((()))'], ['(((())))(((())))(((())))(((())))(((())))(((())))(((())))(((())))(((())))(((())))'], ['(((())))(((())))(((())))(((())))(((())))(((())))(((())))(((())))(((())))(((())))()()()()()'], ['()()()()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()'], ['() ( ) (( )) ((( )))()(()()()) ((()())())() (()()()()()())'], ['((( ) (((()) (()) ((() ((())))()) ((())(()))()( )) () (( ))))) (((( )))) (( ))'], ['(()()()()()())'], ['(()) (()) '], ['((( ) (((())) (()) ((() ((())((((((() ((() ((() ())))))))))))()) ((())(()))()( )) () (( ))))) (((( )))) (( ))'], ['(()) ((((() ((()()((((((  )))))))()()))) (()(()))()(()()))) '], ['((( ) (((()(())())) (()) ((() ((())((((((() ((() ((() ())))))))))))()) ((())(()))()( )) () (( ))))) (((( )))) (( ))'], ['()(())'], ['(())()'], ['(()(()))'], ['((( ) (((()(())()) (()) ((() ((())((((((() ((() ((() ())))))))))))()) ((())(()))()( )) (())(()))()((((()))((())))((()()))((())))() (( ))))) (((( )))) (( ))'], ['(())(())'], [' (()) (()) ((() ((())))()) ((())(()))()'], ['((())(()))()'], ['()((()()()()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()))'], ['(()(())())'], [''], ['((( ) )(((())) (()(())(( ))))) (((( )))) (( ))'], ['((()) ()) ()(( )) (()(())())'], ['(()()()())'], ['()(()())()(())'], ['()()()()()()((()))()()()((()))()()(())'], ['(()(()))()(()())'], ['((()())())()'], ['((( ) (((()) (()) ((() ((()))))()) (()()()()()())((())(()))()( )) () (( ())))) (((( )))) (( ))'], ['((( )) ()) ()(()) (()(())())'], ['((((((()) ((() ((() ())))))))))'], ['(((()) ()) ())'], ['(())((()(((())))((()()))(((((()) (())() (())(())((())((( ) (((()) (()) ((() ((())))()) (()()()()()())((())(()))()( )) () (( ())))) (((( )))) (( )))))()))((())))))'], ['( ) (( )) (( )( ))       ()()()'], ['(())(()())()((((((()))))))'], ['( )'], ['((()))'], ['((( ) ((( )) () (( )))))  (((( )))) (( ))'], ['((( ) ((( )((( ) ((( )) () (( ))))) (((( )))) (( ))) () (( ))))) (((( )))) (( ))'], ['() ( ) (( )) ((( )))()(()()()) ((()())())()(()()()()()())'], ['(((())))(((())))(((())))(((())))(((())))(((())))(((())))(((())()(())))(((())))(((())))()()()()()'], ['((()())())()(()()()()()())'], ['((()))(()()())'], ['((( ))) (( ))'], ['(((())))'], ['((() ((()()))))()(()()())()(()())'], ['(((((((() (((()()))))))))))'], ['((()))()(())'], ['()()()()()()((()))()()()((()))()()()((()))()()()((()))()()()'], ['(()())()'], ['((())(()(()(()))()(()())()()((()))()()()((()))()))()'], ['((( ) ((( )) () (( ))))) (((( )) )) (( ))'], ['((()())())()(()(((()())()(()()))()(()())()()((())))()()()((())())()()()())'], ['(((()())))'], ['(())()()()((()))()()()']]\n    results = [['(()())', '((()))', '()', '((())()())'], ['()', '(())', '((()))', '(((())))'], ['(()(())((())))'], ['()', '(())', '(()())'], ['()'], ['(())'], ['((()))', '()'], ['()', '()', '()'], ['()', '(()())', '()'], ['(((()()((())))))'], ['((()()))', '(())'], ['()', '(()()((())))'], ['()', '()', '()', '(((()())))', '()', '(())'], ['(((())))', '()', '((()()))'], ['(((())))', '()', '(((())))', '()', '((()()))', '((()()))'], ['((((((())))()(((())))()((()()))((()())))()))', '(())'], ['()', '(()())', '()', '(()()((())))', '()'], ['()', '(()()((()))(((()()((()))))))'], ['()', '()', '((((()()((()))))))'], ['()', '()', '((((()()((()))))()()()))'], ['()', '()', '()', '(((()())))', '()', '((()))'], ['((()()((((((())))()(((())))()((()()))((()())))()))(())))', '(())'], ['()', '()', '()', '(()()()(((()())))()((()))((()())))', '()', '(())'], ['()', '()', '(()())', '()', '(()())', '()'], ['(((()))())', '()', '((()()))'], ['()', '()', '(()())', '()', '(()()((()))())', '()'], ['()', '()', '((((()()((()))))))', '()', '(()())', '()', '(()()((())))', '()'], ['()', '()', '(((((()()((()))))))()(()())()(()))', '()'], ['((()((()()(((((()))))))()())))', '(()(()))', '()', '(()())'], ['((()((())()(()))))', '(((())))', '(())'], ['(())', '(())', '((()((())))())', '((())(()))', '()'], ['((())())', '()', '(())', '(()(())())'], ['((())(())()(())(()))', '()', '(((())))', '((()()))', '((()))'], ['(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))'], ['(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '()', '()', '()', '()', '()'], ['()', '()', '()', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()'], ['()', '()', '(())', '((()))', '()', '(()()())', '((()())())', '()', '(()()()()()())'], ['((()(((())(())((()((())))())((())(()))()())()(()))))', '(((())))', '(())'], ['(()()()()()())'], ['(())', '(())'], ['((()(((()))(())((()((())((((((()((()((()())))))))))))())((())(()))()())()(()))))', '(((())))', '(())'], ['(())', '((((()((()()(((((()))))))()())))(()(()))()(()())))'], ['((()(((()(())()))(())((()((())((((((()((()((()())))))))))))())((())(()))()())()(()))))', '(((())))', '(())'], ['()', '(())'], ['(())', '()'], ['(()(()))'], ['((()(((()(())())(())((()((())((((((()((()((()())))))))))))())((())(()))()())(())(()))()((((()))((())))((()()))((())))()(()))))', '(((())))', '(())'], ['(())', '(())'], ['(())', '(())', '((()((())))())', '((())(()))', '()'], ['((())(()))', '()'], ['()', '((()()()()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()((()))()()()))'], ['(()(())())'], [], ['((())(((()))(()(())(()))))', '(((())))', '(())'], ['((())())', '()', '(())', '(()(())())'], ['(()()()())'], ['()', '(()())', '()', '(())'], ['()', '()', '()', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '(())'], ['(()(()))', '()', '(()())'], ['((()())())', '()'], ['((()(((())(())((()((()))))())(()()()()()())((())(()))()())()((()))))', '(((())))', '(())'], ['((())())', '()', '(())', '(()(())())'], ['((((((())((()((()())))))))))'], ['(((())())())'], ['(())', '((()(((())))((()()))(((((())(())()(())(())((())((()(((())(())((()((())))())(()()()()()())((())(()))()())()((()))))(((())))(()))))()))((())))))'], ['()', '(())', '(()())', '()', '()', '()'], ['(())', '(()())', '()', '((((((()))))))'], ['()'], ['((()))'], ['((()((())()(()))))', '(((())))', '(())'], ['((()((()((()((())()(()))))(((())))(()))()(()))))', '(((())))', '(())'], ['()', '()', '(())', '((()))', '()', '(()()())', '((()())())', '()', '(()()()()()())'], ['(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())))', '(((())()(())))', '(((())))', '(((())))', '()', '()', '()', '()', '()'], ['((()())())', '()', '(()()()()()())'], ['((()))', '(()()())'], ['((()))', '(())'], ['(((())))'], ['((()((()()))))', '()', '(()()())', '()', '(()())'], ['(((((((()(((()()))))))))))'], ['((()))', '()', '(())'], ['()', '()', '()', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()', '((()))', '()', '()', '()'], ['(()())', '()'], ['((())(()(()(()))()(()())()()((()))()()()((()))()))', '()'], ['((()((())()(()))))', '(((())))', '(())'], ['((()())())', '()', '(()(((()())()(()()))()(()())()()((())))()()()((())())()()()())'], ['(((()())))'], ['(())', '()', '()', '()', '((()))', '()', '()', '()']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(separate_paren_groups)\n\n\nprint('___SENTINEL___')\n","ced185518f5275e762c23c7a190b5c2c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['( ) (( )) (( )( ))']]\n    results = [['()', '(())', '(()())']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(separate_paren_groups)\n\n\n\nprint('___SENTINEL___')\n","230be21f8931cdba2ff9386bf38cb151"]
[{"$cut":{"chars":41204,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[3.5], [1.33], [123.456], [999.99999], [0.3333333], [1.0], [1.5], [0.5], [0.999999], [500.00678], [11.11], [0.25], [5.99], [1.284163165748358], [1.8517611088029418], [0.7713842427275083], [3.1842364304976463], [1.0738831860229472], [0.04320870526393539], [1.1369261836552624], [1.0630407193724771], [10.291122396192739], [1.7558893686701653], [0.9650030856354603], [0.984438743601213], [10.488539525905054], [1.4874349659668864], [0.7636841418734611], [1.0550866750250807], [2.333802704974898], [0.05907618779899971], [10.340562837282636], [14.594425286718018], [2.0662932553410105], [0.31915096006147237], [0.18237813427406302], [1.3346032282437121], [1.8553603762907702], [2.332961000883547], [0.021680163914408097], [3.5819493135932516], [0.8694186154267374], [11.915419340683165], [1.261530828471214], [4.563415501784793], [2.6876956198100403], [0.6637488925155729], [11.020840370441608], [1.2298279240135677], [3.111878426342652], [1.3280193020046864], [3.33346058589665], [4.216338505526772], [1.8986838916527826], [0.9469650857716427], [0.9128948300399008], [1.2816583458068265], [6.174933571987024], [2.609939684332363], [0.8754599167744213], [8.9080357328357], [0.2010885708651687], [6.274114559041777], [12.855609011975265], [11.056395819673522], [16.92988868999689], [1.1490031104601102], [0.7385135848830934], [2.9996633588901283], [1.4811920749857561], [0.5472841211344637], [2.136405572849686], [4.989795959151301], [8.24642675895752], [9.79035608010344], [5.8588962106051605], [17.731635169844186], [11.808291888432494], [1.1526994290821804], [11.765894737711209], [13.527786959840032], [9.628578465053991], [0.32946796610280166], [15.352967268085987], [0.1928538004835197], [3.3212272614517486], [2.558921334743221], [0.3421343646351933], [7.7128061250419595], [10.960003695431494], [2.1718244416613808], [3.509772867652324], [3.2870936824597337], [3.6727514187220556], [0.8116446061258343], [16.517704921540986], [67.49215499058909], [0.21854770645681287], [1.0064607362588194], [0.999], [123456789.87654321], [1000000000.0], [9.32911434557313e-14], [2.5e-323], [3.3333333333333335], [4.999999999999999], [1.01], [2.445784998329154], [123456789.87035146], [2.8826600356459733], [1.8115841500661258], [18.135161889053037], [160272523.20529267], [1000000000.8877808], [999999999.6010063], [3.7123298892113925], [1.5e-323], [999999999.519752], [2.9804922690972266], [150436029.01193357], [3.652484424146342], [1.5152518396359669], [72999331.16870269], [72999331.86348532], [0.6634754089111754], [4.198779002134755], [123456790.81811383], [4.794679851869683], [123456791.1152048], [71715158.05022265], [3.462709133028266], [3.2625298014230917], [1e-323], [1010925072.8576772], [999999999.8689998], [1.319625895008866e-13], [5.555526127930596], [1.8635392957700825], [1010925073.2121989], [1.1564571336470584], [3.390954965157863], [3.638855399123406], [3.140436236372345], [3.7740143753811126], [1.8059703311001947], [3e-323], [9.781312122101996e-14], [160272524.5457365], [72999330.90505825], [1.1470423298796195], [0.1744922651011397], [3.4439317935136886], [26349039.586728778], [2.8469364005316296], [1.2895798371355272], [4.481216180561204], [3.0189582579378045], [4.98664449195926], [1.528436995804495], [1000000001.6386046], [1000000001.7050426], [1.5627036513731054], [2.1677039780515606], [1.4742532194314457], [0.8581470553539504], [5.131177828251349], [1.1492742792268493], [4.661848359779834], [152212563.68798697], [79568565.6"}},"6cb3c1924c95504d4855298063af76d2"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3.5]]\n    results = [0.5]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(truncate_number)\n\n\n\nprint('___SENTINEL___')\n","616240ae47eb93432193ae340ef52e2f"]
[{"$cut":{"chars":71485,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[1, 2, -3, 1, 2, -3]], [[1, 2, -4, 5, 6]], [[1, -1, 2, -2, 5, -5, 4, -4]], [[1, -1, 2, -2, 5, -5, 4, -5]], [[1, -2, 2, -2, 5, -5, 4, -4]], [[0]], [[0, 0, 0, 0]], [[1, 2, 3, -6]], [[-1, -2, -3, 6]], [[1, 2, 3, 4, -10, 5, 6, -15]], [[10, -20, 30, -40, 50, -60]], [[5, -10, 15, -20, 25, -30, 35, -40, 45, -50]], [[1, -1, 1, -1, 1, -1, 1, -1, 1, -1]], [[10, -15, 20, -25, 30, -35, 40, -45]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10]], [[15, 2, 3, -6]], [[-1, -3, 6]], [[1]], [[1, 3]], [[-1, -3, 6, -3]], [[1, -2, 3, -4, 5, -6, 9, -10, -6]], [[1, -1, 1, -1, 1, -1, 1, -1, -1, -6]], [[-1, -2, 0, 6]], [[-1, -3, 6, 7]], [[30, 1, 1]], [[1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1]], [[1, 3, -6]], [[1, -1, 1, -1, 1, -1, 1, -1, -1, -6, -1]], [[0, 35]], [[1, -2, 3, -4, 4, -6, 7, -8, 9, -10, -8]], [[-1, -3, 0, 6, 9]], [[1, -1, 1, -1, 1, -1, 1, -1, -1, -6, -6]], [[1, 2, 3, 4, -10, 5, 6, -15, 3]], [[-1, -2, -3, 6, -1]], [[2, 3, 4, -10, 5, 6, -15, -6]], [[1, 2, 3, 4, -10, 5, 6, -15, -10, 3, 3]], [[-1, -20, 0, 0]], [[-1, -2, -3, 6, 7]], [[0, 0, 0, 0, 0]], [[10, -15, 20, -25, 30, -4, 40, -45, 40]], [[-2, 0, 6]], [[1, -3]], [[-8, -20, 30, -40, 50, -60]], [[-15, 1, 1, 1, 1]], [[1, -3, -15]], [[1, -1, 1, -1, 30, -1, 1, -1, 1, -1, 1]], [[-15, 1, 1, 0, 1]], [[-2, -3, 6, -1]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -4, -7]], [[1, 2, 3, -6, -6, -6]], [[-1, -20, 0, 0, -1, -25]], [[-1, 1, -1, 1, -1, 1, -1, -1, -6]], [[-1, -3, 6, 7, 6, -1]], [[1, -1, 1, 35, 1, 1, -1, 1]], [[5, 15, -20, 25, -30, 35, -40, 45, -50, -21]], [[1, 1, 1, 1, 4]], [[10, -20, 30, -40, 50, 6]], [[1, -1, 1, -1, 1, 1, -1, -1, -6, -1]], [[1, 2, 3, 4, -20, 5, 6, -15]], [[10, 30, -40, 50, 6]], [[1, 1, 1, 1, 4, 1]], [[0, 35, 1, 36, 36]], [[1, 2, 3, 4, -20, 5, 6, -15, 5]], [[-3]], [[-8, -20, 30, -40, 50, 40]], [[-1, -3, 0, 6, 9, 0]], [[-15, 1, 0, 0, 1, -14, -14]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -4]], [[1, 2, 3, 4, -20, 5, 6, -15, -20]], [[0, 0, 0, 0, -1]], [[1, -1, 1, -1, 1, -1, 1, -1, -1, -6, -1, -1]], [[1, 0, 0, 0, -1, 3]], [[5, 15, -20, 25, -30, -40, 45, -50, -21]], [[6]], [[-1, -20, 0, 0, -1, -25, -20]], [[-1, -20, 0, 0, -1, -20, -1, -20]], [[30, 1, 1, 1]], [[-1, -3, 0, 45, 9]], [[-2, 0, 6, -2]], [[1, -1, 1, -1, 30, -1, 1, -1, 1, -1, 1, -2]], [[-2, 0, -2]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -4, -7, 1]], [[30, -3, -15]], [[10, -14, 20, -25, -4, 40, -45, 40]], [[15, 2, -6, -6, -6]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -4, -7, 2, 10]], [[1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1]], [[1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -8, -3]], [[1, -1, 1, -1, 1, -1, 1, -1, -1, -6, -1, -1, 1]], [[-2, 0, 6, -2, 0]], [[-20, 30, -40, 50, 40]], [[-1, -20, -1, 0, 0]], [[-1, -3, 0, 6, -45]], [[10, 40, -40, 6]], [[1, 2, 3, 4, -10, 5, 6, -15, 3, 4]], [[-1, -3, 0, 45, 9, 9]], [[-2, -3, -1]], [[-2, 0, 6, 0]], [[5, -20, 25, -30, 35, -40, 45, -50, -21, -6]], [[-2, 0, 0, 1]], [[-1, 1, -1, 1, -50, 1, -1, -21, -6]], [[-1, 35, 1, 36]], [[0, 6, 0]], [[1, 2]], [[1, 1, 1, 1, 4, 4]], [[100, -200, 300, -400, 500, -1000]], [[-5, -10, -15, -20, -25, 50, 100]], [[1, 2, -4, 4, -4, 2, -2, -2, -1, -1, -1, -1, -1]], [[1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1]], [[1, 2, -3, 4, -5, 6, -7, 8, -9, 10, -11, 12, -13, 14, -15, 16, -17, 18, -19, 20, -21, 22, -23, 24, -25, 26, -27, 28, -29, 30, -31]], [[100, -50, 20, -10]], [[1000000, -500000, -500000, 1000000]], [[1, 2, 3, 4, 5, -15, 7, 8, 9, -19, 21]], [[1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, "}},"2dc70ea59e61e184fdb215423468ef7d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[1, 2, -4, 5]]]\n    results = [False, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(below_zero)\n\n\n\nprint('___SENTINEL___')\n","cc6c03ad1e3e2f0d1ea6a019ced8b518"]
[{"$cut":{"chars":81601,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1.0, 2.0, 3.0]], [[1.0, 2.0, 3.0, 4.0]], [[1.0, 2.0, 3.0, 4.0, 5.0]], [[-1.0, 4.5, 0.0, 2.5, -3.0]], [[0.0, 0.0, 0.0, 0.0, 0.0]], [[-2.0, 2.0]], [[-1.0, -1.0, 1.0, 1.0]], [[1.0, 1.0, 1.0, 2.0, 2.0, 2.0]], [[-2.0, -1.0, 0.0, 1.0, 2.0]], [[0.5, 1.5, 2.5]], [[-5.5, 7.5, -5.5, 7.5]], [[-1.0, -2.0, -3.0, 4.0, 5.0]], [[10.0, 10.0, 10.0]], [[10.0, 10.0, 10.0, 10.0, 9.232092283615625]], [[-1.0, -2.0, -3.0, 5.0]], [[-1.0, -2.0, 5.0]], [[10.0, 10.0, 10.0, 10.0, 9.232092283615625, 10.0, 10.0]], [[10.0, 10.0, 10.0, 10.0, 9.232092283615625, 10.0, 10.0, 10.0]], [[10.0, 10.0, 10.0, 10.0, 9.232092283615625, 10.0, 10.0, 9.985189420898806, 10.0]], [[0.0, 0.0, 0.0, 0.0]], [[-1.0, 1.0, 1.0, 1.0]], [[-5.5, 7.5, -5.5, 10.416066198571809]], [[-1.0, 1.0, 1.0, 2.0, 2.0, 2.0]], [[1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 1.0, 10.0]], [[-5.5, 8.006967641333711, -5.5, 10.416066198571809]], [[-1.0, 4.5, 0.0, 2.5, -3.0, -5.5]], [[-2.0, 1.0, 1.0, 2.0, 2.0, 2.0]], [[-1.0, 1.0, 1.0, 2.0, 2.0]], [[0.0, 0.0, 0.0, 0.0, 5.0]], [[0.0, 0.0, 0.0, 5.049334549043888]], [[10.0, 10.0, 10.0, 10.0, 9.232092283615625, 10.0, 10.0, 10.0, 0.0]], [[0.0, 0.0, 0.0, 5.0]], [[-2.0, 2.0, 2.0]], [[-2.6403752298016823, 2.0, -1.0]], [[-1.0, -1.0, 1.0, 1.0, 1.0]], [[0.0, 0.0, 0.0, 5.0, 0.0]], [[-1.0, -2.0, 5.0, -1.0]], [[0.0, 0.0, 4.5, 0.0]], [[-1.0, -2.0]], [[-1.0, -1.0, 1.0, 1.0, -0.14848795937485382]], [[0.0, 0.0, 5.049334549043888, 5.049334549043888]], [[-2.0, 1.0, 1.0, 2.0, 2.0, 2.0, -2.0]], [[-1.0, 4.5, 0.0, 2.5, 7.5]], [[-2.6403752298016823, -1.0]], [[-1.0, -1.0, 1.0, 1.0, -0.14848795937485382, -5.5, 4.0]], [[0.0, 0.0, 5.0]], [[1.0, 1.0, 2.0, 2.0, 2.0]], [[7.5, -5.5, 10.416066198571809, 10.416066198571809]], [[-1.0, -2.0, 5.0, 9.232092283615625, 4.556069003616063]], [[-2.0, 2.0, 1.4955482911935327]], [[0.0, 0.0, 0.0, 5.0, 0.0, 5.7682420395965925]], [[7.5, -5.5, 10.416066198571809, 10.416066198571809, 10.416066198571809]], [[1.5, 2.5]], [[10.0, 10.0, 10.0, 9.232092283615625]], [[1.2120988051006742, 0.0, 5.0]], [[2.0, 2.4267204433287306]], [[10.416066198571809, -1.0, 1.0, 1.0, -0.14848795937485382, -5.5, 4.0, 0.0868013662924878]], [[-2.0, 1.0, 1.0, 2.0, 2.0, 2.0, -2.0, 2.7500345836492754, 1.2120988051006742]], [[-2.0, 1.0, 1.0, 2.0, 2.0, 2.0, -0.14848795937485382]], [[1.0, 1.0, 2.0, 2.0, 2.0, 1.410033320598176, 2.0402809275768705, 2.4726166299065415]], [[2.0, 2.4267204433287306, 2.4267204433287306]], [[-2.0, 2.0, 10.416066198571809]], [[1.5, 2.5, 1.5]], [[-1.0, -2.0, -3.0, 4.0, 5.0, -3.0]], [[-1.0, -1.0, 1.0, 1.0, -0.14848795937485382, -5.5, 4.0, -0.21656423755989618]], [[-2.0, 1.0, 1.0, 2.0, 2.0, -0.14848795937485382]], [[-2.6403752298016823, 2.0, -0.6846214759932707, -2.6403752298016823]], [[-1.0, 0.0, 0.0, 5.0, 0.0, 0.0]], [[1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 1.0, 10.0, 10.0, 1.0]], [[-2.0]], [[-1.0, 0.0, 0.0, 5.0, 0.0, 0.0, 0.0, 0.0]], [[-1.0, 4.5, 2.5, -3.0, -5.5]], [[-1.0, -1.0, 1.0, -0.14848795937485382, -5.5, 4.0]], [[1.5, 0.0868013662924878, 0.0868013662924878, 0.0868013662924878]], [[-1.0540014624285938, 2.0, 10.416066198571809, 2.0]], [[-2.0, 1.0, 1.0, 2.0, 2.0, -0.14848795937485382, 2.9190756023754556]], [[0.0, 0.0, 5.604766823261059, 5.049334549043888]], [[0.0, 0.0, 0.0, 0.0, 5.0, 5.7682420395965925]], [[-1.0, -1.0, 1.0, -0.21656423755989618, -0.14848795937485382, -5.5, 4.0, -0.21656423755989618]], [[1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 1.0]], [[0.0, 5.0]], [[5.0, 2.5]], [[10.0, 10.0, 10.0, 9.232092283615625, 10.0, 10.0, 9.985189420898806, 10.0]], [[2."}},"3132d9854938380be1f658c5fbe8057f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1.0, 2.0, 3.0, 4.0]]]\n    results = [1.0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(mean_absolute_deviation)\n\n\n\nprint('___SENTINEL___')\n","4fdde8504554399a8630a5ea612ef0bf"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[], 7], [[5, 6, 3, 2], 8], [[2, 2, 2], 2], [[1, 2, 3], 0], [[2, 4, 6, 8], 1], [[9, 9, 9, 9, 9, 9], 7], [[10], 5], [[5, 7], 2], [[1, 3, 5, 7], 4], [[2, 3], 1], [[5, 10, 15], 0], [[0, 0, 0], 7], [[1, 9, 5, 6], 3], [[2, 3], 0], [[0, 0, 0], 8], [[1, 2, 3, 2], 0], [[7], 2], [[3], 1], [[5, 7], 3], [[5, 7], 5], [[], 2], [[9, 9, 9, 9, 9, 9, 9], 7], [[5, 7], 15], [[3], 0], [[1, 9, 5, 6, 5], 3], [[2, 2], 1], [[0, 0, 0, -1], 7], [[7, 9], 15], [[2, 3, 2, -46], 0], [[], 1], [[3], 7], [[1, 1, 1, 1, 1, 1], 0], [[-2, 5, 10, -5, 2], -8], [[3, 6, 2, 5, 1, 9], 0], [[7, 3, 6, 8, 4, 2, 1], -1], [[4, 1, 2, 3], 4], [[1, 2, 3, 4], 4], [[4], 4], [[-1, -2, -3], -4], [[1, 2, 3, 4], 10000], [[], 8], [[3, 4], 10000], [[3, 4], -8], [[3, 6, 2, 5, 1, 9], 1], [[-2, 5, 10, -5, 2], -7], [[3, 6, 2, 3, 5, 1], -1], [[1, 1, 1, 1, 1, 1], -5], [[4], -5], [[1, 3, 4], 10000], [[2, 3, 4], 10000], [[-2, 3, 4], -8], [[-2, 5, 10, -5, 2, 5], 5], [[4, 4], -5], [[1, 3, 4, 1], 6], [[1, 2, 3, 4], 6], [[3, 6, 5, 1, 9], 0], [[-2, 2, 5, 10, -5, 2], -7], [[7, 1, 1, 1, 1, 1, 1], -5], [[3, 7, 5, 1, 9], 9], [[1, 2, 3, 4], 9], [[3, 2, 4], -8], [[2, 3, 4], 5], [[7, 1, 1, 1, 1, 1], -5], [[3, 7, 5, 6, 1, 9], 9], [[2, 3, 4], 10001], [[-2, 2, 4, 4], -8], [[4, 4], -4], [[7, 1, 1, 1, 1, 1, 1], -3], [[3, 3, 4], 5], [[3, 7, 2, 1, 9], 1], [[6, 3, 7, 5, 1, 9, 3], 7], [[1, 2, 3, 4], 9999], [[3, 7, 5, 7, 9], 9], [[6, 3, 7, 7, 1, 9, 3], 7], [[], -5], [[1, 1, 1, 1, 1, 1, 1], 10000], [[3, -4, 6, 5, 1, 9], 1], [[7, 3, 6, 8, 4, 2, 1], 10], [[-2, 7, 2, 1, 9], 2], [[5, 15, 63, 2, -2, 5, 9, 100, 5, -9], 8], [[1, 2, 4, 4], 6], [[3, 4], -5], [[3, 6, 5, 1, 9, 6, 1], 0], [[7, 1, 1, 1, 1, 1, 7], -5], [[1, 1, 1, 1, 1, 1], -6], [[7, 1, 1, 1, 1, 1, 1], -4], [[-2, 7, 2, 1, -1], 2], [[3, 6, 5, 1, 9, 6, 1], 10001], [[-4, -4, 6, 5, 1, 9], 1], [[-6, 4], 4], [[-4, -4, 6, 5, 1, 9], 2], [[3, 63, 3], 10000], [[3, 63, 3, 3], 10000], [[4], 63], [[3, 6, 5, 1, 9, 1], 0], [[4, 1, 2, 3, 2], 2], [[-2, 2, 4, 4], -7], [[7, 3, 6, 8, 4, 2, 2], 10], [[5, 15, 63, 2, -2, 5, 9, 100, 5, -9, 100], 8], [[15, 63, 2, -2, 5, -93, 100, 5, -9], 9], [[7, 1, 1, 1, 1, 2], -4], [[4, 4, 4], -5], [[], 4], [[4], 8], [[9, 3], 6], [[5, 5], 5], [[1, 1, 2, 2, 3, 3], 4], [[2, 3, 3, 2], 3], [[], 0], [[5], 2], [[2, 3, 4], 1], [[5, 6, 7, 8], 5], [[1, 2, 4, 4], 3], [[1, 2, 3, 4, 1], 0], [[1, 2, 4, 4], 2], [[7, 3, 6, 8, 4, 2, 1, 3], -1], [[4, 1, 1, 2, 3], 4], [[3, 6, 2, 5, 1], 0], [[-1, 1, -2, -3], -3], [[1, 2, 3], 4], [[4, 1, 2, 3, 3], 7], [[10, -2, 5, 10, -5, 2, 10], -8], [[1, 1, 1, 1, 1], 0], [[4, 4], 4], [[4, 1, 2, 3], 6], [[1, 1, 4, 4], -2], [[4, 1, 2, 3, 3, 4], 3], [[-1, -2, -3], 2], [[4, 1, 2, 3, 3, 4], 10000], [[3, 1, 2, 3, 4], 10000], [[3, 4, 4, 4], 3], [[-1, -2, -3, -3], 2], [[3, 2, 3, 4], 10000], [[-48, 4, 1, 2, 3], 3], [[3, -8, 3, 4], -48], [[4, 1, 2, 3, 3, -5], 10000], [[-22, 1, 2, 18], 5], [[7, 3, 6, 8, 4, 2, 1, 3, 4], -1], [[1, 2, 4], -1], [[4], 9], [[1, 2, 4, 4, 1], 2], [[1, 2, 4], 0], [[4, 4, 4], 4], [[1, 2], 0], [[1, 1, 2, 3], 0], [[3, -8, 4, 4], -48], [[2, 3, 4], 4], [[3, 2, 3, 4, 3], 19], [[10, -2, 5, 10, -5, 2, 10], -9], [[-1, 1, -2, -2, -3], 10000], [[-22, 1, 2, 18, 1], 5], [[3, -8, 3, 4, -8], -48], [[-22, 1, 2, -52], 5], [[1, 2, 4, 4], 0], [[1, 2, -9, 4, 4], 0], [[1, 1, 1, 2, 1], 0]]\n    results = [[], [5, 8, 6, 8, 3, 8, 2], [2, 2, 2, 2, 2], [1, 0, 2, 0, 3], [2, 1, 4, 1, 6, 1, 8], [9, 7, 9, 7, 9, 7, 9, 7, 9, 7, 9], [10], [5, 2, 7], [1, 4, 3, 4, 5, 4, 7], [2, 1, 3], [5, 0, 10, 0, 15], [0, 7, 0, 7, 0], [1, 3, 9, 3, 5, 3, 6], [2, 0, 3], [0, 8, 0, 8, 0], [1, 0, 2, 0, 3, 0, 2], [7], [3], [5, 3, 7], [5, 5, 7], [], [9, 7, 9, 7, 9, 7, 9, 7, 9, 7, 9, 7, 9], [5, 15, 7], [3], [1, 3, 9, 3, 5, 3, 6, 3, 5], [2, 1, 2], [0, 7, 0, 7, 0, 7, -1], [7, 15, 9], [2, 0, 3, 0, 2, 0, -46], [], [3], [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [-2, -8, 5, -8, 10, -8, -5, -8, 2], [3, 0, 6, 0, 2, 0, 5, 0, 1, 0, 9], [7, -1, 3, -1, 6, -1, 8, -1, 4, -1, 2, -1, 1], [4, 4, 1, 4, 2, 4, 3], [1, 4, 2, 4, 3, 4, 4], [4], [-1, -4, -2, -4, -3], [1, 10000, 2, 10000, 3, 10000, 4], [], [3, 10000, 4], [3, -8, 4], [3, 1, 6, 1, 2, 1, 5, 1, 1, 1, 9], [-2, -7, 5, -7, 10, -7, -5, -7, 2], [3, -1, 6, -1, 2, -1, 3, -1, 5, -1, 1], [1, -5, 1, -5, 1, -5, 1, -5, 1, -5, 1], [4], [1, 10000, 3, 10000, 4], [2, 10000, 3, 10000, 4], [-2, -8, 3, -8, 4], [-2, 5, 5, 5, 10, 5, -5, 5, 2, 5, 5], [4, -5, 4], [1, 6, 3, 6, 4, 6, 1], [1, 6, 2, 6, 3, 6, 4], [3, 0, 6, 0, 5, 0, 1, 0, 9], [-2, -7, 2, -7, 5, -7, 10, -7, -5, -7, 2], [7, -5, 1, -5, 1, -5, 1, -5, 1, -5, 1, -5, 1], [3, 9, 7, 9, 5, 9, 1, 9, 9], [1, 9, 2, 9, 3, 9, 4], [3, -8, 2, -8, 4], [2, 5, 3, 5, 4], [7, -5, 1, -5, 1, -5, 1, -5, 1, -5, 1], [3, 9, 7, 9, 5, 9, 6, 9, 1, 9, 9], [2, 10001, 3, 10001, 4], [-2, -8, 2, -8, 4, -8, 4], [4, -4, 4], [7, -3, 1, -3, 1, -3, 1, -3, 1, -3, 1, -3, 1], [3, 5, 3, 5, 4], [3, 1, 7, 1, 2, 1, 1, 1, 9], [6, 7, 3, 7, 7, 7, 5, 7, 1, 7, 9, 7, 3], [1, 9999, 2, 9999, 3, 9999, 4], [3, 9, 7, 9, 5, 9, 7, 9, 9], [6, 7, 3, 7, 7, 7, 7, 7, 1, 7, 9, 7, 3], [], [1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1], [3, 1, -4, 1, 6, 1, 5, 1, 1, 1, 9], [7, 10, 3, 10, 6, 10, 8, 10, 4, 10, 2, 10, 1], [-2, 2, 7, 2, 2, 2, 1, 2, 9], [5, 8, 15, 8, 63, 8, 2, 8, -2, 8, 5, 8, 9, 8, 100, 8, 5, 8, -9], [1, 6, 2, 6, 4, 6, 4], [3, -5, 4], [3, 0, 6, 0, 5, 0, 1, 0, 9, 0, 6, 0, 1], [7, -5, 1, -5, 1, -5, 1, -5, 1, -5, 1, -5, 7], [1, -6, 1, -6, 1, -6, 1, -6, 1, -6, 1], [7, -4, 1, -4, 1, -4, 1, -4, 1, -4, 1, -4, 1], [-2, 2, 7, 2, 2, 2, 1, 2, -1], [3, 10001, 6, 10001, 5, 10001, 1, 10001, 9, 10001, 6, 10001, 1], [-4, 1, -4, 1, 6, 1, 5, 1, 1, 1, 9], [-6, 4, 4], [-4, 2, -4, 2, 6, 2, 5, 2, 1, 2, 9], [3, 10000, 63, 10000, 3], [3, 10000, 63, 10000, 3, 10000, 3], [4], [3, 0, 6, 0, 5, 0, 1, 0, 9, 0, 1], [4, 2, 1, 2, 2, 2, 3, 2, 2], [-2, -7, 2, -7, 4, -7, 4], [7, 10, 3, 10, 6, 10, 8, 10, 4, 10, 2, 10, 2], [5, 8, 15, 8, 63, 8, 2, 8, -2, 8, 5, 8, 9, 8, 100, 8, 5, 8, -9, 8, 100], [15, 9, 63, 9, 2, 9, -2, 9, 5, 9, -93, 9, 100, 9, 5, 9, -9], [7, -4, 1, -4, 1, -4, 1, -4, 1, -4, 2], [4, -5, 4, -5, 4], [], [4], [9, 6, 3], [5, 5, 5], [1, 4, 1, 4, 2, 4, 2, 4, 3, 4, 3], [2, 3, 3, 3, 3, 3, 2], [], [5], [2, 1, 3, 1, 4], [5, 5, 6, 5, 7, 5, 8], [1, 3, 2, 3, 4, 3, 4], [1, 0, 2, 0, 3, 0, 4, 0, 1], [1, 2, 2, 2, 4, 2, 4], [7, -1, 3, -1, 6, -1, 8, -1, 4, -1, 2, -1, 1, -1, 3], [4, 4, 1, 4, 1, 4, 2, 4, 3], [3, 0, 6, 0, 2, 0, 5, 0, 1], [-1, -3, 1, -3, -2, -3, -3], [1, 4, 2, 4, 3], [4, 7, 1, 7, 2, 7, 3, 7, 3], [10, -8, -2, -8, 5, -8, 10, -8, -5, -8, 2, -8, 10], [1, 0, 1, 0, 1, 0, 1, 0, 1], [4, 4, 4], [4, 6, 1, 6, 2, 6, 3], [1, -2, 1, -2, 4, -2, 4], [4, 3, 1, 3, 2, 3, 3, 3, 3, 3, 4], [-1, 2, -2, 2, -3], [4, 10000, 1, 10000, 2, 10000, 3, 10000, 3, 10000, 4], [3, 10000, 1, 10000, 2, 10000, 3, 10000, 4], [3, 3, 4, 3, 4, 3, 4], [-1, 2, -2, 2, -3, 2, -3], [3, 10000, 2, 10000, 3, 10000, 4], [-48, 3, 4, 3, 1, 3, 2, 3, 3], [3, -48, -8, -48, 3, -48, 4], [4, 10000, 1, 10000, 2, 10000, 3, 10000, 3, 10000, -5], [-22, 5, 1, 5, 2, 5, 18], [7, -1, 3, -1, 6, -1, 8, -1, 4, -1, 2, -1, 1, -1, 3, -1, 4], [1, -1, 2, -1, 4], [4], [1, 2, 2, 2, 4, 2, 4, 2, 1], [1, 0, 2, 0, 4], [4, 4, 4, 4, 4], [1, 0, 2], [1, 0, 1, 0, 2, 0, 3], [3, -48, -8, -48, 4, -48, 4], [2, 4, 3, 4, 4], [3, 19, 2, 19, 3, 19, 4, 19, 3], [10, -9, -2, -9, 5, -9, 10, -9, -5, -9, 2, -9, 10], [-1, 10000, 1, 10000, -2, 10000, -2, 10000, -3], [-22, 5, 1, 5, 2, 5, 18, 5, 1], [3, -48, -8, -48, 3, -48, 4, -48, -8], [-22, 5, 1, 5, 2, 5, -52], [1, 0, 2, 0, 4, 0, 4], [1, 0, 2, 0, -9, 0, 4, 0, 4], [1, 0, 1, 0, 1, 0, 2, 0, 1]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(intersperse)\n\n\nprint('___SENTINEL___')\n","a4376818f0a376301faf601f3a1a1a71"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[], 4], [[1, 2, 3], 4]]\n    results = [[], [1, 4, 2, 4, 3]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(intersperse)\n\n\n\nprint('___SENTINEL___')\n","46efec5be6caf4f483762f3a721ee764"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['(()()) ((())) () ((())()())'], ['() (()) ((())) (((())))'], ['(()(())((())))'], [''], ['((()))'], ['(())(()())'], ['(())(()(()))((()()))'], ['(()()(((())))(()(())))()'], ['()((()))'], ['(())'], ['()()()'], ['()(())'], ['(((())(()(()))((()()))))(()(()))((()()))'], ['(()()(()(())((()()(((())))(()(())))())(((()))))(()(())))()'], ['((()(())(()(()))((()()))))'], ['(()()(((())))(()(())(((())(()(()))((()()))))(()(()))((()()))))()'], ['((()()(((())))(()(())))())((()()))'], ['(()()(((())((()()(((())))(()(())))())(((()))))(()(()))))()'], ['()(()()(((())))(()(())(((())(()(()))((()()))))(()(()))((()()))))()((()))'], ['((()(())((()(()))((()())))))'], ['((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))'], ['((((((())(())))())((()()()(()(((()(()))))))))()(((())(()(()))((()()()))()))((()))()(()))()'], ['()()()()()()'], ['((((((()))(()()((()))))(()))))'], ['(((())))'], ['((()())()())'], ['()()()()()'], ['((((())()))()(()))(())'], ['((())()()()((((())(())))))'], ['(((((((()()()((()))(())()((()))((()())(())))))))()())()())'], ['((((())())))(())(())'], ['()(((())))'], ['(((((((())))))))'], ['(((((()(((()))))(()))()()())(())))()(())(())'], ['((())())()()'], ['((())()()((((())(())))))'], ['(()(())()())'], ['((((())(())))()()())((()))(())'], ['((()))()()()'], ['((((())())))(())'], ['(((((((((((((((())))))))))))))))'], ['((((((((((((())()()()))()))))(()))(())))))'], ['(((((((())((((())(())))))))())))()'], ['((((())((())))()(())))'], ['((((((((((()))))))((()))()))))'], ['(()(())())'], ['()'], ['((((((((((())))))))((()))((((((((())((((())(())))(((()()((())((()))(()((((()))()())))))())((((())))((()((((((())))))))))())))))()((((())))))))))))'], ['((((((((()(()))))))(((()))()))))'], ['((((((((((((((()))))))((()))()))))))))'], ['((((((((((((((()))))))((()))())((((((((()(()))))))(((()))())))))))))))'], ['((((())())(((((((())((((())(()))))(((()()((())((()))(()((((()))()())))))())((((())))((()((((((())))))))))())))))()((((()))))))))(())(())'], ['((((())((()))())(())))'], ['((())()())'], ['()()()()()((((((((((()))))))((()))()))))()'], ['((((((((((())))))((()))))(()))))'], ['((((((((((())))))))((()))((((((((())((((())(())))(((()()((())((()))(()((((()))()())))))())((((()))))((()(((((((())))))))))())))))()((((())))))))))))'], ['((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()((((()))))))))))((((((()()()((()))(())()(((((())))))))))))'], ['(((((()()()((()))(())()((()))())))))(()((((((((((()))))))((())))))))'], ['((((((()))(()()((())))))))'], ['(((((((()))))(()))))'], ['()()()()'], ['(((((()()()((()))(())()((()))((()())((((((()))(()()((()))))(()))))(())))))))'], ['((((((()))(()()((())(((((()()()((()))(())()((()))((()())(())))))))))))))'], ['(((())((((((()(()))))))((((((((((((()))))))((())(()))())))((()))))))((()))))'], ['((((((((()(())))()))(((())))()))))'], ['((((((((((()))))))((()))())))((())()()))'], ['(((((((())((((())(())))(((()()((())((()))(()(((((()))()())))))))((((())))((()((((((())))))))))())))))())((((()))))))'], ['(((((((((())((((())(())))(((()()((())((()))(()((((()))()())))))())((((())))((()((((((())))))))))())))))()((((()))))))((((())())))(())(())((((((((()))))))((())))())))((())()()))']]\n    results = [[2, 3, 1, 3], [1, 2, 3, 4], [4], [], [3], [2], [3], [5], [3], [2], [1], [2], [5], [8], [5], [7], [6], [9], [7], [6], [11], [10], [1], [8], [4], [3], [1], [5], [6], [10], [5], [4], [8], [9], [3], [6], [3], [5], [3], [5], [16], [13], [11], [6], [11], [3], [1], [22], [10], [15], [17], [19], [6], [3], [11], [11], [22], [12], [12], [8], [8], [1], [14], [14], [16], [10], [11], [18], [20]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(parse_nested_parens)\n\n\nprint('___SENTINEL___')\n","682b3342a54d9b8b5f91487ea85171f5"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['(()()) ((())) () ((())()())']]\n    results = [[2, 3, 1, 3]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(parse_nested_parens)\n\n\n\nprint('___SENTINEL___')\n","fdb3fd98a24bfda10f1eacb7e3bbd273"]
[{"$cut":{"chars":36852,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[], 'john'], [['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx'], [['xxx', 'asd', 'aaaxxy', 'john doe', 'xxxAAA', 'xxx'], 'xx'], [['grunt', 'trumpet', 'prune', 'gruesome'], 'run'], [['banana', 'apple', 'kiwi', 'peach'], 'a'], [['hello', 'world', 'python', 'numpy', 'pandas'], 'py'], [[], ''], [['abc', 'bcd', 'cbd', 'dbc', 'cda'], 'bc'], [['a', 'ab', 'abc', 'abcd', 'abcde', 'bcde', 'cde'], 'cd'], [['123', '456', '789', '101112'], '12'], [['cat', 'dog', 'elephant', 'rhinoceros', 'seagull'], 'e'], [['supercalifragilisticexpialidocious', 'antidisestablishmentarianism', 'floccinaucinihilipilification'], 'ili'], [['moon', 'stars', 'sun', 'planets'], 's'], [['earth', 'mars', 'jupiter', 'saturn', 'uranus'], 's'], [['hello', 'world', 'python', 'numpy', 'pandas', 'numpy'], 'py'], [['supercalifragilisticexpialidocious', 'antidisestablishmentarianism', 'floccinaucinihilipilification', 'floccinaucinihilipilificatnion'], 'ili'], [['hello', 'world', 'python', 'numpy', 'pandas'], 'antidisestablishmentarianismpy'], [['supercalifragilisticexpialidocious', 'antidisestablishmentarianism', 'floccinaucinihilipilification', 'floccinaucinihilipilificatnion'], 'ili12'], [['supercalifragilisticexpialidocious', 'antidisesshmentarianism', 'floccinaucinihilipilification', 'floccinaucinihilipilificatnion', 'floccinaucinihilipilificatilinion'], 'ili'], [['supercalifragilisticexpialidocious', 'sun', 'floccinaucinihilipilificatioearthn'], 'ili'], [['123', '456', '789', '101112'], '122'], [['supercalifragilisticexpialidocious', 'antidisestablishementarianism', 'floccinaucinihilipilification'], 'ili'], [['abc', 'bcd', 'cbd', 'dbc', 'cda', 'cfloccinaucinihilipilificatilinionda'], 'bc'], [['earth', 'mars', 'jupiter', 'saturn', 'uranus'], 'numpuranusys'], [['supercalifragilisticexpialidocious', 'antidisestablishementarianism', 'floccinaucinihilipilification', 'supercalifragilisticexpialidocious'], 'ili'], [['hello', 'world', 'python', 'numpy', 'pandas'], 'antidisestablishmentariasaturnnismpy'], [['supercalifragilisticexpialidocious', 'antidisesshmentarianism', 'floccinaucinihilipilification', 'floccinaucinihilipilificatnion', 'floccinaucinihilipilificatilinion', 'floccinaucinihilipilifi101112cation'], 'ili'], [['supercalifragilisticexpialidocious', 'antidisestablishmentarianism', 'floccinaucinihilipilification', 'floccinaucinihilipilificatnion'], 'floccinaucinihilipilificatioearthn'], [['hello', 'world', 'python', 'numpy', 's'], 'antidisestablishmentariasaturnnismpy'], [['hello', 'world', 'python', 'numpy'], 'antidisestablishmentarianismpy'], [['antidisesshmentarianism', 'floccinaucinihilipilification', 'floccinaucinihilipilificatnion', 'floccinaucinihilipilificatilinion'], 'ili'], [['hello', 'world', 'python', 'numpy', 'pandas', 'numpy'], 'antidisestablishmentarianismpy'], [['abc', 'bcd', 'cbd', 'dbc', 'cda', 'cfloccinaucinihilipilificatilinionda', 'dcbd'], 'bbc'], [['abc', 'bcd', 'cbd', 'dbc', 'cda', 'cfloccinaucinihilipilificatilinionda', 'dcbd', 'cfloaccinaucinihilipilificatilinionda'], 'bbc'], [['123', '456', '789', '101112', '456'], '12'], [['Washington', 'DC', 'New York City', 'Boston', 'Los Angeles', 'San Francisco', 'Miami'], 'an'], [['The quick brown fox jumps over the lazy dog', 'Pack my box with five dozen liquor jugs', 'How vexingly quick daft zebras jump', 'Jackdaws love my big sphinx of quartz'], 'ox'], [['The cat in the hat', 'Green eggs and ham', 'One fish two fish', 'Red fish blue fish'], 'fish'], [['"}},"d6c3afe7058ab19ad0dfffcc3e3dedb5"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[], 'a'], [['abc', 'bacd', 'cde', 'array'], 'a']]\n    results = [[], ['abc', 'bacd', 'array']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(filter_by_substring)\n\n\n\nprint('___SENTINEL___')\n","f2c41c356192bea5ba92df8d0f483205"]
[{"$cut":{"chars":57958,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[1, 1, 1]], [[100, 0]], [[3, 5, 7]], [[10]], [[2, 4, 6, 8, 10]], [[0, 1, 2, 3, 4, 5]], [[-1, 1, -2, 2, -3, 3]], [[2, 3, 5, 7, 11, 13]], [[1, 2, 4, 8, 16, 32]], [[1, 2, 3, 4, 5]], [[0, 0, 0, 0]], [[2, 4, 8, 16]], [[-1, -2, -3]], [[10, 20, 30, 40, 50]], [[-1, -3]], [[-1, 1, 0, 2, -3, 3]], [[2, 4, 8, 16, 16, 4]], [[0, 1, 2, 3, 4, 5, 0]], [[0, 0, 0, 0, -1]], [[2, 3, 13, 7, 11, 13]], [[3, 3, 5, 13, 0]], [[1, 2, 3, 4, 5, 4]], [[3, 3, 5, 0, 5]], [[2, 3, 13, 7, 11, 13, 2]], [[10, 20, 30, 40]], [[10, 20, 30, 40, 49]], [[3, 3, 5, 13, 0, 14]], [[0, 0, 0, 0, 0]], [[1, 2, 4, 5, 11, 2]], [[2, 3, 5, 7, 10, 13, 5]], [[10, 20, 30, 40, 0]], [[30, 30, 40, 50]], [[2, 4, 8, 16, 16, 4, 16, 16, 5]], [[0, 0, 0, 0, 0, 16]], [[3, 3, 5, 13, 1]], [[2, 4, 8, 16, 16, 4, 40]], [[-2, -3]], [[0, 1, 2, 4]], [[2, 49, 8, 16, 49]], [[2, 13, 7, 11, 13, 49]], [[2, 4, 8, 16, 4]], [[20, 30, 40, 49]], [[2, 3, 5, 7, 11, 14]], [[0, 1, 2, 3, 4, 5, 4]], [[-1, -3, 4, -3]], [[30, 30]], [[-3, -3]], [[13, 20, 5, 40, 49]], [[2, 49, 16, 49]], [[3, 3, 5, 32, 1, 14, 3]], [[2, 4, 8, 16, 16, 4, 16, 16, 5, -1]], [[2, 4, 8]], [[1, 4, 8, 16, 32]], [[13, 5, 40, 49]], [[2, 3, 7, 11, 14]], [[20, 30, 40, 49, 49]], [[-2]], [[2, 4, 8, 16, 16, 4, 16, 16, 5, -1, 4]], [[2, 4, 13, 7, 11, 13, 2, 3]], [[2, 4, 8, 16, 16, 4, 16, 16, 5, -1, 2, 4, 16]], [[2, -2, 2, -3]], [[2, 13, 7, 11, 13, 49, 16]], [[2, 4, 8, 16, 16, 4, 16, 16, 5, -1, 4, 16]], [[1, 4, 8, 16, 32, 8, 50]], [[2, 4, 8, 16, 4, 16, 16, 5, -1, 4, 16]], [[0, 1, 2, 4, 5, 0]], [[2, 3, 13, 7, 11, 13, 2, 1]], [[2, 4, 8, 16, 16, 3, 40]], [[4, 8, 16, 16, 4, 4]], [[2, 4, 8, 16, 16, 4, 16, 5]], [[0, 1, 3, 4, 5]], [[0, 2, 3, 4, 5, 0, -1]], [[13, 5, 40, 49, 49]], [[1, 2, 3, 3, 5, 3]], [[2, 4, 8, 1, 16, 4, 16, 16, 5, -1, 2, 4, 16, 10, 8]], [[-1, -2]], [[0, 0, 0, 0, 0, 0]], [[2, -2, 2, -3, 2]], [[2, 4, 8, 16, 4, 8, 8]], [[3, 3, 5, 33, 1, 14, 3]], [[1, 2, 3, 4, 5, 2, 0, 0]], [[2, 49, 0, 16, 49, 49, 0]], [[1, 2, 4, 4, 11, 2, 4, 3]], [[2, 4, 8, 16, 16, 4, 16, 16, 5, -1, 2, 4, 16, 4, 4]], [[2, 4, 8, 16, 16, 4, 16, 16, 5, -1, 2, 4, 16, 4, 4, 2]], [[0, 2, 3]], [[0, 0, 0, 0, 0, 16, -1]], [[False, False, False, False, False, True, True, True, True]], [[3, 3, 5, 13, 1, 5, 14]], [[2, 4, 8, 16, 4, 16, 16, 5, -1, 4, 20, 20, 11]], [[2, 8, 17, 2, 17]], [[1, 4, 16, 32]], [[3, 3, 5, 13, 0, 0]], [[2, -2, 2, -3, -2]], [[False, False, False, False, False, True, True, True, True, False]], [[3, 3, 5, 13, 0, 14, 13]], [[2, 8, 16, 16, 4, 30]], [[2, 3, 5, 7, 11, 14, 5]], [[3, 5, 13, 14, 13, 40]], [[-3]], [[0, 1, 2, 4, -2]], [[0, -3]], [[1, 0, 2, -3, 3]], [[1, 2, 8, 16, 32]], [[2, 4, -6, 0, 8, -10]], [[1, 2, 3, 10, 20, 30]], [[0, 2, 5, 8, -3, -5]], [[1, -1, 1, -1, 1, -1]], [[6, 1, 0, 4, 7, 3, 2]], [[-2, 5, -10, 5, -2]], [[2, 10, -5, 3, 0, -8]], [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], [[2, 10, -5, 3, 0, -8, 10]], [[2, 10, -5, 30, 0, -8, 30, 10]], [[0, 8, 0, 0, 0, 0, 0, 8]], [[1, 2, 3, 10, 20, 30, 10]], [[0, 0, 0, 0, 1, 0]], [[1, 1, 0, 0, 0, 0]], [[2, 10, 3, -5, 3, 0, -8]], [[3, 4, -6, 0, 8, -10]], [[20, 0, 0, 0, 1, 0, 0]], [[10, -5, 30, 0, -8, 30, 10]], [[1, 1, -8, 0, 0, 0]], [[4, -6, 0, 8, -10]], [[20, 0, 0, 2, 0, 0]], [[0, 0, 0, 0, 3, 0, 0, 0]], [[-10, 0, 10, 5, 8, -3, -5]], [[0, 0, 0, 1, 0]], [[0, 0, 0, 0, 0, 0, 0]], [[-10, 0, 10, 5, 8, -5]], [[4, -6, -8, 9, -10]], [[1, -1, 1, 1, -2, 1, -"}},"e80cdc4f1b8aa472f87746b988e8b59f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[]], [[1, 2, 3, 4]]]\n    results = [(0, 1), (10, 24)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sum_product)\n\n\n\nprint('___SENTINEL___')\n","566fd57c80b911d431eb97ece80156ba"]
[{"$cut":{"chars":107995,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[1, 2, 3, 4]], [[4, 3, 2, 1]], [[3, 2, 3, 100, 3]], [[1, 1, 1, 1, 1]], [[5, 4, 3, 2, 1]], [[1, 3, 2, 4, 3, 5, 4, 6]], [[10, 5, 20, 30, 25, 20, 15, 10]], [[7, 2, 4, 1, 8, 6, 9]], [[10, 20, 30, 40, 50]], [[50, 40, 30, 20, 10]], [[1, 2, 3, 4, 5, 4, 3, 2, 1]], [[1, 2, 3, 2, 1, 2, 3, 2, 1]], [[-1, -2, -3, -4, -5, -4, -3, -2, -1]], [[1, 2, 3, 2, 1, 3, 3, 2, 3]], [[0, -2, -3, -4, -5, -4, -3, -2, -1]], [[10, 5, 20, 30, 50, 20, 15, 10, 2]], [[10, 5, 20, 30, 25, 20, 15, 10, 19]], [[0, 4, -3, -4, -5, -4, -3, -2, -1]], [[1, 3, 2, 4, 3, 5, 4, 6, 2]], [[1, 1, 1, 1]], [[10, 5, 20, 30, 25, 20, 15, 10, 15]], [[0, 4, -3, -4, -5, -4, -3, -2, -1, -2, -3]], [[1, 3, 2, 1, 3, 3, 2, 3]], [[4, 4, -3, -4, -5, -4, -3, -2, -1, -2]], [[-1, -2, -3, -4, -5, -3, -2, -1]], [[5, 4, 3, 1, 1]], [[-1, -2, -3, -4, -4, -3, -2, -1, -4]], [[10, 5, 20, 30, 25, 20, 10, 21, 10]], [[-1, -2, -3, -4, -4, -2, -1, -4]], [[4, 3, 1, 1, 1]], [[4, -3, -4, -5, -4, -3, -2, -1, -2, -3]], [[0, 4, -3, -4, -5, -4, -3, -2, -1, 2]], [[5, 4, 5, 1, 1]], [[10, 20, 30, 40, 50, 50]], [[27, 6, 6, 20, 62, 5]], [[10, 6, 20, 30, 25, 20, 15, 10]], [[0, 4, -3, -4, -5, -4, -3, 15, -1, 2]], [[0, 4, -3, -4, -5, -4, -3, -2, -1, -2, -2, 30]], [[5, 4, -3, 2, 1, 5]], [[1, 2, 3, 4, 5, 4, 3, 2, 1, 5]], [[1, 2, -3, 4, 5, 4, 3, 2, 1]], [[1, 50, 1, 1]], [[7, 2, 4, 1, 8, 6, 9, 4]], [[1, 2, 4, 5, 4, 3, 2, 1, 5, 4]], [[4, 3, 2, 1, 6]], [[0, 4, -3, -4, -5, -3, 15, -1, 2]], [[1, 2, 3, 2, 1, 2, 2, 1]], [[10, 6, 20, 30, 25, 20, 15, 40]], [[1, 40, 2, 4, 3, 5, 6, 2]], [[7, 2, 4, 1, 8, 6, 9, 1]], [[10, 5, 20, 30, 25, 20, 10, 21, 11]], [[0, 1, 1, 1, 4]], [[10, 5, 20, 30, 25, 20, 10, 21, 10, 21, 29, 21, 10]], [[10, 5, 20, 30, 25, 20, 15, 10, 15, 62]], [[4, -3, -4, -4, -3, -2, -1, -2, -3, 4, 8]], [[1, 2, -3, 4, 5, 4, 2, 2, 1]], [[10, 5, 20, 30, 25, 20, 10, 21, 10, -1]], [[-1, -2, -3, -4, -4, -2, -1, 20]], [[7, 2, 4, 1, 8, 6, 9, 4, 6]], [[3, 3, 1, 1, 1]], [[1, 3, 2, 3, 3, 2, 3]], [[0, 1, 1, 4]], [[4, -3, -4, -5, -4, -3, -2, -1, -2, -3, 3]], [[3, 1, 1, 1]], [[4, 1]], [[2, 3, 2, 1, 3, 3, 2, 3]], [[11, 20, 30, 40, 50]], [[1, 2, 3, 2, 1, 3, 2, 1, 0]], [[0, 1, 4, 4]], [[2, 2, -3, 4, 5, 4, 3, 2, 1, 2]], [[1, 3, 2, 4, 3, 5, 5, 6, 2, 2]], [[-2, -3, -4, -5, -2, -1, -4]], [[10, 5, 20, 30, 25, 20, 10, 21, 10, 21, 29, 21]], [[5, 4, -3, 7, 1, 5, 19]], [[4, 4, -3, -4, -5, -4, -2, -1, -2, -5, -2]], [[1, 3, 2, 4, 3, 5, 5, 6, 2, 2, 3]], [[1, 2, 3, 4, 5, 4, 3, 3, 1, 5]], [[1, 3, -3, 4, 5, 4, 2, 2, 1]], [[7, 2, 4, 1, 8, 6, 9, 1, 6]], [[4, 4, -4, -5, -4, -2, -1, -2, -5, -2]], [[4, -3, -4, -5, -4, -3, -2, -2, -3, 3]], [[2, -3, 4, 5, 4, 2, 2, 1]], [[10, 5, 20, 30, 25, 20, 9, 21, 10, 21, 29, 21, 10]], [[1, 3, 2, 4, 3, 30, 5, 6, 2, 2, 3]], [[5, 4, -3, 2, 1, 5, 2, 4, 3]], [[4, 4, -4, -5, -2, -1, -2, -5, -2]], [[1, 2, 3, 2, 1, 3, 3, 2, 3, 3]], [[10, 5, 20, 30, 25, 20, 15, 10, 19, 25]], [[4, -3, -4, -5, -4, -3, -2, -1, -2]], [[4, 1, 1, 1, 0]], [[1, 2, 3, 4, 5, 4, 3, 2, 1, 4]], [[0, 4, -3, -4, -5, -4, -3, -2, -1, -2]], [[1, 2, 3, 2, 1, 3, 3, 2, 3, 2]], [[-1, -2, -3, -4, -5, -4, -2, -1, 15, 2]], [[10, 6, 20, 30, 25, 20, 15, 10, 30, 30]], [[1, 15, 30, 1]], [[5, 4, 6, 4, 7, 10, 3, 8, 2]], [[1, 3, 5, 7, 9, 11, 13, 15, 17]], [[10, 20, 30, 25, 40, 35, 50, 45, 60, 55, 70]], [[100, 99, 98, 97, 96, 95, 94, 93, 92, 91, 90]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 2, 3, 4, 2]], [[-2, 5, 10, -5, 20, 15, 6, 9, -8, -1]], [[-10, -5, -3, -4, -8, -11, -15, -12, 0, 5]], [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 5]], [[0, 1, 2, 1, "}},"947e2bc819151d9c0762b6e4473b73cb"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 2, 3, 4, 2]]]\n    results = [[1, 2, 3, 3, 3, 4, 4]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(rolling_max)\n\n\n\nprint('___SENTINEL___')\n","add1bb6d72738bba0d6a426daf3923f0"]
[{"$cut":{"chars":134788,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['x'], ['xyz'], ['xyx'], ['jerry'], ['race'], ['level'], ['tenet'], ['noon'], ['redder'], ['refer'], ['dewed'], ['madam'], ['malayalam'], ['radar'], ['r'], ['rrefrerace'], ['erace'], ['raracece'], ['rrrefrear'], ['raceredder'], ['araracecae'], ['rradar'], ['racrrefreraceereddrce'], ['levevl'], ['lracrrefreraceereddrceevel'], ['rrefreracrefere'], ['rardar'], ['levevltenet'], ['racrrefreraceeredrdrce'], ['racrrefracrrefreraceereddrceaceereddrce'], ['ararracrrefreraceeredrdrceacecae'], ['noradarolevevln'], ['rrefreralevevlce'], ['racrrefreraceereddrcerrefrerace'], ['onoon'], ['rrefreraracecee'], ['tene'], ['racrrefddrce'], ['dedwed'], ['erradarrace'], ['acece'], ['leevel'], ['racrrefrracrrefracrrefreraceereddrceaceereddrceacrrefreraceereddrceaceereddrce'], ['rr'], ['rrefreracrdewede'], ['rrrarteneacecee'], ['malaylalam'], ['rarcrrefreraceereddrcerrefrerace'], ['rrraertracrrefracrrefreraceereddrceaceereddrceeneacededwedcee'], ['erradarracerradarracee'], ['lveevel'], ['rrefreracreerradarracefere'], ['lracrrefreraceereddrceeveltenet'], ['rrraertracrrefraclracrrefreraceereddrceeveltenetrrefreraceereddrceaceereddrceeneacededwedcee'], ['rardaar'], ['erradarracerrlracrrefreraceereddrceeveladarracee'], ['levevllevevl'], ['rrerradarracerradarraceeefreracrefere'], ['maadam'], ['ded'], ['CIB'], ['rarcrrefreraceereddrcerrrefrefrace'], ['lvevl'], ['re'], ['lracrrefreraceedewedreddrceevel'], ['rrraertracrrefraclracrrefreraceereddrceeveltenetrrefreraceereddrceaceerceddrceeneacededwedcee'], ['racrraefracrrefreraceereddrcerrraertracrrefracrrefreraceereddrceaceereddrceeneacededwedceeaceereddrce'], ['rdewedr'], ['rrraertracrrefraclracrrefreracceereddrceeveltenetrrefreraceereddrceaceerceddrceeneacededwedcee'], ['mraceredderadam'], ['onnoon'], ['lenet'], ['lrrraertracrrefracrrefreraceereddrceaceereddrceeneacededwedceeveevel'], ['racrraefracrrefreraceereddrcerrraertracrrefracerrefreraceereddrceaceereddrceeneacededwedceeaceereddrce'], ['malalam'], ['erac'], ['malaararacecaelam'], ['levelevellonoon'], ['acracrrefreraceeredrdrcee'], ['errradarracerradarracee'], ['rarcrrefreraceereddrccerrrefrefrace'], ['malatenetlam'], ['levelevellonoonracrrefddrce'], ['malatenetlamrardaar'], ['rrefreralevevlmalalamce'], ['malalllam'], ['rraddar'], ['acracrrerardaarcee'], ['lracrrefrereddrceeveltenet'], ['CCIB'], ['racelevevlredder'], ['redderradar'], ['mracereddreradam'], ['rarcrrefreraceereddrrrefreralevevlmalalamcecerrefrerace'], ['rarcrrefreraceereddrcerlevelevellonoonracrrefddrcerrefrefrace'], ['errrefrerar'], ['malarrefreracraeerradarraceferelam'], ['rlevevltenetrefreracrdewede'], ['rrraertracrrefraclracrrefreraceereddrceeveltenetrrefreraceereddrceaceereddrceeneaceredderdedwedcee'], ['rrraertracrrefraclracrrefreraceereddrceeveltenetrrerfreraceereddrceaceereddrceeneacededwedcee'], ['rmraceredderadamefer'], ['malalllnoonam'], ['zzzazyzzz'], ['racecar'], ['pneumonoultramicroscopicsilicovolcanoconiosis'], ['babad'], ['abab'], ['a'], ['ab'], ['abc'], ['abacabadabacaba'], ['aaaaa'], ['aabc'], ['racababecar'], ['abacabadabaccaba'], ['zzzabzz'], ['abbc'], ['m'], ['abaacabadabacaba'], ['baad'], ['zzzabaacabadabacabaazyzzz'], ['rababecar'], ['dbabad'], ['baabacabadabaccabaad'], ['P'], ['zzabaazyzzz'], ['p'], ['aaab'], ['racabaacabadabacabaecar'], ['aapneumonoultranmicroscopicsilicovolcanoconiosis'], ['Pdbabad'], ['abacacbadabacaba'], ['pnababamicroscopicsilicovolcanoconiosis'], ['pneumonoultramicroscopicsilicovolcanoconiosi'], ['aa"}},"991236e3cb2193e3c4cc0fce08b0e4db"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[''], ['cat'], ['cata']]\n    results = ['', 'catac', 'catac']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(make_palindrome)\n\n\n\nprint('___SENTINEL___')\n","b02a6c83bdaef59cf9411dd604d9ee60"]
[{"$cut":{"chars":27752,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['111000', '101010'], ['1', '1'], ['0101', '0000'], ['000', '000'], ['1111', '1111'], ['10101', '01010'], ['01010101', '11001100'], ['101010', '010101'], ['010', '001'], ['01100', '10011'], ['00000001', '11111110'], ['111', '000'], ['1', '0'], ['01100000', '01100000'], ['01010101', '01010101'], ['01010', '01010'], ['0101100000100000', '0110000010101010'], ['01100', '01100'], ['001', '111'], ['11111110', '00000001'], ['101010', '101010'], ['00', '00'], ['11', '00'], ['101001100', '110011000'], ['01100000', '00000001'], ['010101', '010101'], ['001', '010'], ['10100110100110', '10100110100110'], ['110101011111110', '110101011111110'], ['101010101111', '101010101111'], ['110011000001110', '110011000001110'], ['10011', '10011'], ['0101100000100000', '0101100000100000'], ['1111110011000', '1111110011000'], ['11010101001111110', '11010101001111110'], ['110011000', '110011000'], ['11001100', '11001100'], ['111111', '111111'], ['11111110', '11111110'], ['001', '001'], ['0', '0'], ['111', '111'], ['11111110101011111110110', '11111110101011111110110'], ['1010101101111', '1010101101111'], ['1100110000', '1100110000'], ['0101011111110011000', '0101011111110011000'], ['11010100100110101010100', '11010100100110101010100'], ['11111111100110001', '11111111100110001'], ['0010', '0000'], ['110101001001101010101000', '110101001001101010101000'], ['010', '010'], ['1011010100100110101010100010', '1011010100100110101010100010'], ['0011000', '0011000'], ['10101', '10101'], ['110101', '100101'], ['01100', '10101'], ['1101001001', '1101001001'], ['00000001', '00000001'], ['011000000', '011000000'], ['0001', '0001'], ['01100', '10010'], ['001', '000'], ['01111110000', '01111110000'], ['00000011', '00000001'], ['10100110100110101010', '10100110100110101010'], ['11111100110000', '11111100110000'], ['1010101', '1010101'], ['0100000001100', '0100000001100'], ['00010', '00000'], ['11001100', '01010101'], ['1010101001111', '1010101001111'], ['11001', '01100'], ['0001100', '0001100'], ['0000', '0000'], ['110101001001110101011010100100110101010100101000', '110101001001110101011010100100110101010100101000'], ['11001', '00010'], ['000010', '000010'], ['101001100', '011000000'], ['0000', '1111'], ['10100110100110', '11011110000010'], ['00000', '00000'], ['011010', '101101'], ['010101', '001010'], ['00010', '11001'], ['011000', '011100'], ['0011111100110000010', '0011111100110000010'], ['011100', '011100'], ['0110000011010100100110101010100', '0110000011010100100110101010100'], ['01', '01'], ['', ''], ['111111101010100001100111', '111111101010100001100111'], ['00010', '00010'], ['010100101', '010100101'], ['101001111001100000110', '101001111001100000110'], ['011', '011'], ['110101001001110101011010100100111010100101010100101000', '110101001001110101011010100100111010100101010100101000'], ['11', '11'], ['10001', '10001'], ['10101001011', '10101001011'], ['11010101111111011101100000101010101', '11010101111111011101100000101010101'], ['101010', '011011'], ['110100110100110101010', '101001110100110101010'], ['10101010', '01010101'], ['10001000', '11111111'], ['000000', '000111'], ['0110011', '0101010'], ['11011011', '10101010'], ['1000011', '0000000'], ['101010101010', '010101010101'], ['10101010101010101010101010', '01010101010101010101010101'], ['111000111111000111111000', '000111000000111000000111'], ['010101010101', '010101010101'], ['0000000', '0000000'], ['01010101010101010101010101', '01010101010101010101010101'], ['0101010'"}},"c31ba4e05f9b7b179bb2253d14cfeac4"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['010', '110']]\n    results = ['100']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(string_xor)\n\n\n\nprint('___SENTINEL___')\n","ec14ff1ce45eb9c130ceaf16ab72c358"]
[{"$cut":{"chars":105192,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [['x', 'y', 'z']], [['x', 'yyy', 'zzzz', 'www', 'kkkk', 'abc']], [['', 'a', 'aa', 'aaa']], [['123456789', '1234', '12345', '123']], [['a', 'b', 'aa', 'bb']], [['dog', 'cat', 'horse', 'cow']], [['apple', 'banana', 'pear']], [['123', '12', '1234', '1', '12345']], [['aa', 'bb', 'cc', 'aaa', 'bb', 'cccc']], [['aaa', 'aa', 'a', 'aaaa']], [['a']], [['aa', 'z', 'p', 'q']], [['aa', 'bb', 'cc', 'aaa', '123', 'cccc', 'cc', 'cccc']], [['dog', 'cat', 'horse', 'cow', 'q']], [['', 'a', 'aa', 'aaa', 'aa']], [['apple', 'banana', 'banna', 'banana']], [['aa', 'bb', 'cc', 'aaa', '123', 'cccc', 'cccc', 'ccaaa']], [['', 'a', 'cow', 'aaa', 'aa']], [['aa', 'z', 'p', 'qq']], [['aa', 'apple', 'p', 'qq', 'apple']], [['dog', 'cat', 'horse']], [['apple', 'banana', 'pear', 'horse', 'pear']], [['aa', 'bb', 'cc', 'aaa', '1233', 'cccc', 'cccc', 'ccaaa']], [['aa', 'bb', 'cc', 'aaa', '123', 'cccc', 'cc', 'cccc', '123']], [['', 'a', '1234', 'dog', 'aa']], [['aa', 'apple', 'p', 'qq', 'apple', 'p']], [['cat', 'horse']], [['dog', 'cat', 'horse', 'cow', 'hore', 'horse']], [['aa', 'apple', 'p', 'qq', 'apple', 'p', 'p', 'aa']], [['apple', 'banana', 'banna', 'banana', 'banana']], [['apple', 'banana', 'pear', 'horse', 'pear', 'apple']], [['aa', 'z', 'p', 'qq', 'aa', '']], [['aa', 'cc', 'aaa', '123', 'cccc', 'cc', 'cccc', '123', 'aa']], [['aa', 'bb', 'cc', 'aaa', 'bb', 'cccc', 'aa', 'aa']], [['dog', 'cat']], [['apple', 'p', 'qq', 'apple', 'p', 'pear']], [['aaa', 'z', 'p', 'qq', 'qqq']], [['', 'a', 'aa', 'aaa', 'aa', 'a']], [['', 'hore', '', 'nWa', 'aaa', 'pear', 'wRQ', 'qq']], [['', 'a', 'aaa', 'aa', 'a']], [['aa', 'bb', 'cc', 'aaa', '123', 'cccc', 'ccaaa', 'ccaaa', 'aa']], [['aa', 'bb', 'cc', 'aaa', '123', 'cccc', 'cc', '123']], [['odog', 'catt']], [['aa', 'bb', 'cc', 'aaa', 'bb', 'cccc', 'cccc']], [['aa', 'bb', 'cc', 'aaa', 'bb', 'cccc', 'qaa', 'aa']], [['dog', 'a', 'aa', 'aaa', 'aa', 'a', 'a']], [['apple', 'banaana', 'pear', 'horse', 'pear', 'apple']], [['', 'a', 'aaaa', 'a']], [['dopearg', 'a', 'aa', 'aaa', 'aa', 'a', 'a']], [['', 'a', 'aaa']], [['dog', 'cat', 'horse', 'cow', 'cat']], [['aaa', 'aa', 'a', 'aaaa', 'aa', 'qq']], [['aa', 'bb', 'cc', 'aaa', 'bb', 'cccc', 'aa', 'aa', 'aaa']], [['apple', 'banana', 'banna', 'banana', 'z']], [['odog', 'ctatt']], [['apple', 'banana', 'pear', 'horse', 'pear', 'odogpear', 'pear']], [['', 'a', 'aa', 'aaa', '']], [['', 'a', 'aaa', 'aa', 'a', 'bba']], [['cat', 'horse', 'horcate']], [['aa', 'p', 'qq', 'apple', 'p']], [['aa', 'apple', 'p', 'qq', 'apple', 'pbanaana']], [['apple', 'banana', 'banna', 'banana', 'z', 'babbnna']], [['horse']], [['dog', 'a', 'aaa', 'aa', 'a', 'a']], [['aa', 'apple', 'p', 'qq', 'apple', 'p', 'aa', 'alpple']], [['apple', 'banaa', 'pear']], [['apple', 'banana', 'pear', 'pear', 'apple']], [['aa', 'bb', 'cc', 'aaa', '123', 'cccc', 'ccaaa', 'ccaaa', 'aa', 'ccaabanaanaa']], [['1', 'a', 'cow', 'aaa', 'aa', 'a']], [['apple', 'banana', 'horse', 'pear']], [['p', 'cat', 'horse', 'cow']], [['dog', 'cat', 'horse', 'cow', 'cat', 'cat']], [['dog', 'cat', 'hrorse', 'cow', 'q']], [['odog', 'catt', 'catt']], [['apple', 'banaa', 'pear', 'abanaa']], [['dog', 'cat', 'horse', 'w', 'q']], [['apple', 'pear', 'horse', 'pear', 'apple']], [['aa', 'apple', 'p', 'qq', 'apple', 'aa']], [['apple', 'banana', 'banna', 'zbanna']], [['a', 'a']], [['1', 'a', 'cow', 'aaa', 'aa', 'a', '11234564789', 'babbnnaa']], [['apple', 'banana', 'pear', 'banaana', 'apple']], [['123', '12', '1234', '1', '12345', '"}},"e447e095b756b7d6c3c83ee7695249f3"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[]], [['a', 'b', 'c']], [['a', 'bb', 'ccc']]]\n    results = [None, 'a', 'ccc']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(longest)\n\n\n\nprint('___SENTINEL___')\n","834e019a1b6b4ec25f4ef2e8373703d8"]
[{"$cut":{"chars":24634,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[3, 7], [10, 15], [49, 14], [144, 60], [100, 50], [98, 56], [540, 288], [81, 27], [33, 55], [7, 13], [14, 28], [10, 25], [12, 54], [21, 35], [100, 27], [98, 10], [49, 81], [33, 56], [55, 57], [13, 14], [540, 540], [81, 80], [34, 33], [287, 13], [80, 15], [49, 28], [14, 14], [54, 33], [57, 57], [10, 10], [13, 33], [14, 540], [49, 12], [56, 56], [33, 54], [10, 49], [28, 29], [55, 10], [14, 27], [50, 28], [55, 28], [50, 29], [25, 24], [21, 20], [82, 81], [80, 49], [55, 56], [9, 9], [57, 56], [81, 24], [287, 12], [81, 54], [56, 35], [56, 10], [287, 56], [35, 20], [81, 287], [15, 33], [27, 27], [20, 81], [24, 23], [15, 80], [55, 80], [28, 12], [81, 57], [29, 35], [49, 50], [29, 28], [49, 49], [10, 9], [99, 56], [80, 81], [81, 26], [540, 541], [100, 10], [81, 81], [100, 9], [101, 27], [13, 55], [55, 541], [540, 25], [287, 287], [100, 287], [10, 11], [9, 98], [15, 11], [34, 34], [98, 101], [98, 28], [11, 10], [286, 286], [27, 26], [58, 101], [21, 54], [58, 15], [54, 9], [81, 55], [21, 36], [540, 10], [13, 288], [50, 49], [14, 15], [28, 28], [108, 192], [419, 967], [987654321, 123456789], [234567890, 987654321], [123456789, 987654321], [1000000000, 999999999], [999999999, 111111111], [2516980251698, 1684168416841], [99999999, 3699637], [98765432100, 1234567890], [98765432100, 98765432100], [999999999, 1000000000], [987654321, 987654321], [111111111, 111111111], [111111111, 967], [419, 192], [999999999, 999999999], [193, 108], [191, 1000000000], [123456789, 999999999], [987654320, 987654321], [100000000, 100000000], [3699637, 3699637], [967, 234567890], [987654322, 987654322], [967, 108], [2516980251698, 987654322], [967, 967], [419, 1000000000], [99999999, 3699636], [1684168416842, 1684168416841], [1684168416842, 1684168416842], [967, 987654322], [191, 108], [99999999, 192], [987654324, 987654323], [999999999, 98765432100], [192, 192], [3699638, 999999999], [234567889, 987654321], [987654321, 108], [1000000001, 1000000000], [234567890, 1000000000], [1000000000, 1000000000], [98765432101, 98765432099], [234567889, 234567890], [106, 108], [193, 193], [999999999, 111111110], [98765432099, 108], [111111111, 999999999], [98765432101, 98765432101], [100000000, 987654320], [2516980251698, 194], [967, 987654323], [1684168416841, 192], [987654323, 987654323], [1000000000, 1000000001], [100000000, 99999999], [1000000000, 987654321], [987654320, 108], [987654321, 111111110], [2516980251698, 987654324], [98765432101, 98765432100], [234567890, 966], [194, 193], [966, 107], [194, 98765432100], [1000000000, 987654324], [98765432101, 98765432102], [98765432100, 98765432101], [1234567890, 100000000], [987654321, 10], [100000001, 100000000], [108, 108], [419, 98765432100], [234567889, 98765432100], [100000000, 1000000001], [987654323, 987654322], [123456789, 1000000001], [999999999, 987654322], [100000000, 98765432101], [193, 1684168416842], [3699638, 967], [987654320, 3699637], [3699638, 98765432101], [419, 234567890], [234567890, 234567890], [98765432102, 98765432101], [105, 108], [111111111, 1000000001], [987654324, 99999999], [193, 123456789], [105, 1684168416842], [1684168416842, 1684168416840], [1000000001, 987654321], [2516980251698, 1684168416842], [2516980251698, 2516980251698], [100000000, 987654321], [987654322, 987654321], [107, 987654323], [191, 1684168416842], [999999999, 1000000001], [111111110, 111111111], [108, 3699636], [123456790, 987654320], [98765432099, 98765432101], [234567888, 3699638], [168"}},"1720fa518507a271fbca7201d9d93600"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3, 5], [25, 15]]\n    results = [1, 5]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(greatest_common_divisor)\n\n\n\nprint('___SENTINEL___')\n","67750e8925164d832a073e20b8a8250d"]
[{"$cut":{"chars":54761,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\nfrom typing import List\ndef ref_func(string: str) -> List[str]:\n\n    return [string[:(i + 1)] for i in range(len(string))]\n\n\n\ndef check(candidate):\n    inputs = [[''], ['asdfgh'], ['WWW'], ['Hello there!'], ['abracadabra'], ['12345'], ['       '], ['racecar'], ['bananas'], ['abcdefg'], ['1234567890'], ['1234'], ['python'], ['1234567890       '], ['Hello therre!'], ['racecHello therre!ar'], ['Hellho the1234567890       re!'], ['Hello ther       re!'], ['12345612347890'], ['uKB'], ['pythoHellho the1234567890       re!n'], ['12uKB34'], ['pythoHellho ther3acecar1234567890       re!n'], ['2uKBuKB34'], ['raceacar'], ['123455'], ['abcdabracadabraefg'], ['Hello ther       2uKBuKB34re!'], ['bnas'], ['12345678    '], ['Hellho th12345678    e1234567890       re!'], ['uKBbnas'], ['race12uKB34car'], ['Hellho the123456Hellho the1234567890       re!7890    3   re!'], ['12uKB3'], ['racecarabracadabra'], ['bnsas'], ['Hello threre!'], ['nbn'], ['adbcdefg'], ['   '], ['Hello thhere!'], ['Hello thhHello ther       re!ere!'], ['n'], ['adbcdefgg'], ['b1234567890       ananHello there!s'], ['1233455'], ['Hellot!'], ['112'], ['1234525'], ['12uKBuKB34234'], ['BraceacaruKBbnas'], ['HeracecHellol therre!arllo thr!'], ['2112'], ['12uKBuKB34234race12uKB34car'], ['pythn'], ['Hellho th12345678    e1234567890       re!2112'], ['Hel12uKBuKB34234race12uKB34carlo    threre'], ['pythoHellho the1HeracecHellol therre!arllo thr!234567890       re!n'], ['Hello ther       e roe!'], ['Hel12uKB34lo therre!'], ['pythoHello ther       e roe!'], ['1234acecHellol therre!arllo thr!'], ['Hello thHello ther       re!er       re!'], ['racr'], ['Hello th!erre!'], ['1212uKBuKB34234uKBuKB34234'], ['lHb1234567890       ananHello there!sello threre!'], ['pyth'], ['abcdabracdadabraefg'], ['pythoHellho the1HeracecHellol therre!arllHello ther       re!o thr!234567890       re!n'], ['pythoHellho ther3acecar12345678901234       re!n'], ['banas'], ['pythoHellh3o ther3acecar1234567890       re!n'], ['Hel12Hel12uKBuKB34234race12uKB34carlo    threreuKB34lo therre!'], ['11234525'], ['Hre!'], ['hon'], ['1234car'], ['Hel12uKBuKB34234race12uKB34carlo3    threre'], ['1212uKBuKB342324uKBuKB34234'], ['rdabra'], ['racar'], ['1212uKBuKB34234uKBuKHellho the1234567890       re!B342K34'], ['pythoHellho the1HeracecHellol therre!arllHello ther       re!o thr!23456H7890       re!n'], ['2KuKBuKB34'], ['rar'], ['racecaar'], ['ra'], ['dadbcbdefg'], ['Hel12uKBuKB34234racce12uKB34carlo3    threre'], ['r'], ['bnananas'], ['12345678  lHb1234567890       ananHello there!sello threre!  '], ['Hellho th12345678    e1234567890        re!2112'], ['Hello thHello ther       re!e r       re!'], ['Hellho the123456Hellho the1234567890 o      re!7890    3   re!'], ['Hello thhHellher       re!ere!'], ['Hellotherre!'], ['123Hello there!55'], ['12'], ['1234acecHellolh therre!arllo thr!'], ['aaaabbbcccddd'], ['tESTing'], ['This has spaces'], ['1a2b3c4d5e6f7g8h9i0j'], ['abcdefghijklmnopqrstuvwxyz'], ['AZYXWVUTSRQPONMLKJIHGFEDCBA'], ['Hello, how are you?'], ['πø©®ßå∂ƒ©˙∆˚¬…¬œ∑´œ®†¥¨ˆπ‘““«æ'], ['how'], ['123abcdefghijklmnopqrstuvwxyz67890'], ['123abcd890'], ['hoHello, how are you?w'], ['Hello,'], ['AZYXWVUTSARQPONMLKJIHGFEDCBA'], ['AZYXWVUTSRQPONBA'], ['This'], ['you?w'], ['thowESTing'], ['abcdefghijklmnopqrstuovwxyz'], ['AZYXWVUTSARQPONIHGFEDCBA'], ['AZYXWVUThowSRQPONBA'], ['πø©®ßå∂ƒ©˙∆˚¬…¬œ∑´œ®†¥¨“tESTingˆπ‘““«æ'], ['aaaabThisd'], ['AZYXYWVUThowSRQPONBA'], ['AZYXWVPONBA'], ['abcdefghijklmnopqr123abcdefghijklmnopqrstuvwxyz67890"}},"1f95ed07c8ebb0f27bc63543926d5201"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['abc']]\n    results = [['a', 'ab', 'abc']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(all_prefixes)\n\n\n\nprint('___SENTINEL___')\n","3a6b929cfc90e27e77c585d99ff9f718"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef ref_func(n: int) -> str:\n\n\n    return \" \".join(map(str, range(n + 1)))\n\n\n\ndef check(candidate):\n    inputs = [[0], [3], [10], [1], [100], [500], [2], [99], [1000], [10000], [15], [20], [50000], [49999], [101], [50001], [102], [49998], [1001], [18], [37], [36], [501], [84], [16], [10001], [65], [19], [66], [499], [83], [21], [98], [97], [17], [82], [22], [999], [67], [998], [50002], [9999], [75], [38], [498], [502], [96], [23], [50003], [9998], [76], [14], [29], [49997], [31], [85], [9997], [77], [503], [103], [13], [30], [86], [997], [1002], [35], [1003], [63], [39], [12], [68], [24], [1004], [4], [95], [78], [5], [25], [28], [50004], [104], [40], [9996], [64], [74], [10002], [94], [41], [105], [32], [73], [81], [26], [72], [6], [996], [42], [93], [79], [1000000], [1000001], [1000002], [999999], [1000003], [1000004], [34], [33], [27], [999998], [1000005], [999997], [87], [88], [89], [90], [1000006], [999996], [999995], [1000007], [7], [43], [44], [45], [999994], [999993], [1000008], [999992], [62], [61], [60], [59], [1000010], [999991], [1000009], [1000011]]\n    for i, inp in enumerate(inputs):\n        assertion(candidate(*inp), ref_func(*inp), 0)\n\ncheck(string_sequence)\n\n\nprint('___SENTINEL___')\n","2bc571d8a6509f3732aa8868471e6952"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[0], [5]]\n    results = ['0', '0 1 2 3 4 5']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(string_sequence)\n\n\n\nprint('___SENTINEL___')\n","ecaaab02bc8779aca00a75b1b3277e53"]
[{"$cut":{"chars":57540,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['abcde'], ['abcdecadeCADE'], ['aaaaAAAAaaaa'], ['Jerry jERRY JeRRRY'], ['AbCdEfG'], ['banana'], ['1234567890'], ['hello123'], ['The quick brown fox jumps over the lazy dog'], ['THISISALONGSTRINGWITHNOSPACES'], ['aaaabbbbccccddddeeeeffffgggghhhhiiii'], ['AaBbCcDdEeFfGgHhIi'], ['hello world'], ['1,2,3... go!'], ['The quick brown fox jumps over the lazy doAbCdEfGg'], ['hellold'], ['1,2,3... gog!'], ['lhello wworld'], ['1,2,3... go123hello12345The quick brown fox jumps ovTHISISALONGSTRINGWITHNOSPACESer the lazy doAbCdEfGg67890g!'], ['AaBbCcThe quick brown fox jumps over the lazy doAbCdEfGgDdEeFfhello worldGgHhIi'], ['AaBbCcThe quichelloldk brown fox jumps over the lazy doAbCdEfGgDdEeFfhello worldGgHhIi'], ['1,2,3.hellold.. gog!'], ['hello wThe quick brown fox jumps over the lazy doAbCdEfGgorld'], ['hell1,2,3... go!o world'], ['AbCdE'], ['hellAbCdE world'], ['1,2,3.AaBbCcThe quick brown fox jumps over the lazy doAbCdEfGgDdEeFfhello worldGgHhIi.. go!'], ['hello wThe quick brown fox jumps over e lazy doAbCdEfGgorld'], ['1,2,3... go123hello12345The quick bbrown fox jumps ovTHISISALONGSTRINGWITHNOSPACESer the lazy doAbCdEfSGg67890g!'], ['THISISALONGSTSRINGWITHNOSPPACES'], ['1,2,3hellold.hel,lold.. 2gog!'], ['AEbCdE'], ['The quick brcown fox jumps over the lazy doAbCdEfGg'], ['CdE'], ['1,2,3hellhelhelloldloldold.hel,lold.. 2gog!'], ['1,2,3... go123hello12345The quick bbrown foxhellAbCdE world jumps ovTHISISALONGSTRINGWITHNOSPACESer the lazy doAbCdEfSGg67890g!'], ['The oquick brown fox jumps overg'], ['AaBbCcThe qldGgHhIi'], ['The quick brown fox jumps over t1,2,3... go123hello12345The quick bbrown foxhellAbCdE world jumps ovTHISISALONGSTRINGWITHNOSPACESer the lazy doAbCdEfSGg67890g!he lazy doAbCdEfGg'], ['hello wThe quick brrown fox jumps over e lazy doAbCdEfGgorld'], ['Cd1,2,3hellhelhellol.dloldold.hel,lold.. 2gog!E'], ['helllold'], ['hellr1,2,3... go!o world'], ['THISISALONNGSTRINGWITHNOSPACES'], ['AahelloldBbCcThe quick brown fox jumps over the lazy doAbCdEfGgDdEeFfhello worldGgHhIi'], ['bananCd1,2,3ellhelhellol.dloldold.hel,lold.. 2gog!E'], ['1,2,3..Cd1,2,3hellhelhellol.dloldold.hel,lold.. 2gog!E. go!'], ['lhello wTHISISALONGSTRINGWITHNOSPACES'], ['hello wo1,2,3... gog!rld'], ['The quick brrown fox jumps over tehe lazy dog'], ['hello wo1,2,3 gog!rld'], ['The quick brcown cfox jumps over the lazy doAbCdEfGg'], ['AaBbCcThe quichelloldk brown fox jumhelloldps over the lazy doAbCdEfGgDdEeFfhello worldGgHhIi'], ['hellAbCdE worhld'], ['AaBbCcThe quichelloldk brown fox jumhelloldps over thello wThe quick brown fox jumps over e lazy doAbCdEfGgorldhe lazy doAbCdEfGgDdEeFfhello worldGgHhIi'], ['THISISALONGSTRINGWITHNOSPACESThe quick brown fox jumps over the lazy doAbCdEfGg'], ['1,2,3hellhelhelloldloldol1234567890d.hel,lold.. 2gog!'], ['AaBbCcThe quichelloldk brown fox jumpsAaBbCcDdEeFfGgHhIiver the lazy doAbCdEfGgDdEeFfhello worldGgHhIi'], ['123456789aaaabbbbccccddddeeeeffffgggghhhhiiii0'], ['1,2,3.AaBbCcThe quick brown fox jumps over thhello worlde lazy doAbCdEfGgDdEeFfhello worldGgHhIi.. go!'], ['The quick brcowen fox jumps over the lazy doAbCdEfGg'], ['123456078980'], ['12The quick brown fox jumps over t1,2,3... go123hello12345The quick bbrown foxhellAbCdE world jumps ovTHISISALONGSTRINGWITHNOSPACESer the lazy doAbCdEfSGg67890g!he lazy doAbCdEfGg3456789aaaabbbbccccddddeeeeffffgggghhhhiiii0'], ['THISISALONGSTSRIGWITHNOSPPACES'], ['1,2,3.hellohello wo1,2,3 gog!rldld.. gog!'], ['1,2,3hellhelhellold"}},"daac80486418727cef261841a45c9c9f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['xyzXYZ'], ['Jerry']]\n    results = [3, 4]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(count_distinct_characters)\n\n\n\nprint('___SENTINEL___')\n","6b825f094f0be295e86efa984ad3f4ce"]
[{"$cut":{"chars":29555,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['o o o o'], ['.| .| .| .|'], ['o| o| .| .| o o o o'], ['o| .| o| .| o o| o o|'], ['o o| o| o|'], ['.| .| o| o| .|'], ['o| o| o| .| o| .|'], ['.| .| o| o| o| o| .| .| o| o| o| o| o| o| o o o o'], ['.| .| o| o| .| .| o| o|'], ['o| .| .| .| o| o|'], ['o| o| o| o| .| .| .| .|'], ['.| o| .| o| o| .| o| .|'], ['o o| o| o| o| o| o| o|'], ['.| .| o| o| o| o| o| .| o| o| o| o| o| o o o o o o o| o|'], ['.| .| o| o|'], ['o| o| o| o| o| o| o|'], ['o| o| o| o| .| .| .|'], ['o o| o| o| o| o'], ['o| o|'], ['.| .| o|'], ['o| .| .| .| o| o| .| .| o| o|'], ['o| o| o| o| o| .| .| .| .| o| .| o| .|'], ['o o| o| o| o|'], ['o| o| o| o| o| o'], ['o| o| o| .|'], ['o| o| o|'], ['o o| o| o| o'], ['o| o| o| o|'], ['o| .| .| o| o|'], ['o| o| o| o| o| o|'], ['o|'], ['o o| o| .| .| o| o| o| o| o| .| o| o| o| o| o| o o o o o o o| o| o| o| o'], ['o| o'], ['o| .| .| o| o| .| .| o| o|'], ['.| .| o| o| o| o o o'], ['o| o| o| o'], ['o o| o'], ['o| .| .| .| o|'], ['o o| o| .| .| o| o| o| o| o| .| o o o o o o o o| o| o| o| o'], ['o'], ['o o'], ['o o| o| .| o| o| o| o| o| o o o o o o o| o| o| o| o'], ['.| .| o| o| o'], ['o o| o| o'], ['o| .| .| o| o| .| .| o|'], ['o| .|'], ['o| .| .| o| o| .| o|'], ['.| .| o| o| o| o| .| .| o| o| o| o| o| o| o o o| .| .| .| o| o| o'], ['.| .| o| o| o o o'], ['o o| o| .| o| o| o| o| o| o| o| o| o| o'], ['o| o o| o| o| o| o|'], ['.| .| o| o| o| o| o| .| o| o| o| o| o| o o o| o|'], ['o o| o| o o| o'], ['o| .| o| .|'], ['o| o o| o|'], ['o| .| .| o|'], ['o| o| o| o| .| o| .|'], ['.| .| o'], ['o| o| o| o| o| o| o| .| .| .| .|'], ['o| o o| o| .| .| o| o| o| o| o| .| o| o| o| o| o| o o o o o o o| o| o| o| o|'], ['o| o| o'], ['o| .| o| o| o| o|'], ['o| o| o| o o| o| o| o| o| o| o| .| o| .| o| o|'], ['.| .| o| o| o| o'], ['o| o| .|'], ['o o| o| .| .| o| o| o| o| o| .| o| o| o| o| o| o| o| o'], ['o o| o| o o'], ['o| o| o| o| o| o| o| .| .| .| .| o| o|'], ['o| .| .| .| o| o| o o| o'], ['o| .| .| .| .| o| o|'], ['.| .| o| o| .| .| o| o o| o| .| .| o| o| o| o| o| .| o| o| o| o| o| o o o o o o o| o| o| o| o| .| o| o|'], ['o o| o| .| .| o| o| o| o| o| o| o| o| o| o'], ['o o| .|'], ['o o o'], ['o o|'], ['.| .| o| o| o| o| .| .| o| o| o| o| o| o| o o o| .| .| .| o| o|'], ['o o| o| .| o o| o| o'], ['o| o o|'], ['.| .| o| o'], ['o| o| o| o| .| o|'], ['o o| o| o o o'], ['o| .| .| o| o| .| o'], ['.| .| o| o| o| o| .| .| o| o| o| o o o'], ['o| o| o| o| o| o| o| o| o| .| .| .|'], ['o o| o| .| o| o| o| o| o| o| o| o'], ['o| o .| o| .|'], ['o| o| o| o| .| .| .| .| o| .| o| .|'], ['o .|'], ['.| .| o o'], ['o| o| o| .| o| .| o| .|'], ['o| o .|'], ['.| .| o| o| o| o| .| .| o| o| o| o| o| o| o o| .| .| .| o| o|'], ['o| .| .| o| o| o|'], ['.| .| o| o| o| o| .| .| o| o| o| o| o o| o o o| .| .| .| o| o|'], ['.| o'], ['.| .| o .|'], ['.| .| o| o| o|'], ['o| .| .| .| .| o| .| o| .|'], ['o| o| .| o|'], ['o| .| .| o| o| o| o| o| .|'], ['o| o| o| o| o| .| .| .| .| o| o|'], ['o| o| o| o| o o| o| o| o| o| o| o| .| o| .| o| o| o| o| o| o|'], ['o o o o| o o| o| o| .| .|'], ['o| .| o| .| .| o| .| .| o| .| o| .| o| .| o| .| .| o|'], ['o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| o o| .| .| .| .|'], ['.| .| .| .| .| .| .| .| .| .| .| .| .| .| .| .| .| .| .| .| .|'], ['o o o| o o| o| o|'], ['o| o| o| o| o| o| o| o|'], ['.| .| .| .| o o o o o o o o| o o o o o o o| o| o| .| .|'], ['.| .| .| .| .| .| .| .| o o o o o o o o| o o o o o o o| o| o| .| .| o o o o o o o o| o o o o o o o| o| o| .| .|'], ['o| "}},"eec12b71640b9f96674bd348ed83b8ca"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['o o| .| o| o| .| .| .| .| o o']]\n    results = [[4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(parse_music)\n\n\n\nprint('___SENTINEL___')\n","17c7e596897e38d33bbe9c7224696905"]
[{"$cut":{"chars":56062,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['', 'x'], ['xyxyxyx', 'x'], ['cacacacac', 'cac'], ['john doe', 'john'], ['ababa', 'aba'], ['abcdefg', 'efg'], ['abababab', 'aba'], ['hello world', 'o'], ['aaaabbbbcccc', 'bb'], ['12211221122', '122'], ['racecar', 'car'], ['mississippi', 'ss'], ['thequickbrownfox', 'fox'], ['fizzbuzz', 'zz'], ['aaaabbbbccccc', 'bb'], ['bbb', 'bb'], ['zz', 'bbb'], ['122', 'zz'], ['bb', 'bb'], ['misracecarsissippi', 'ss'], ['abababab', 'fox'], ['e', 'e'], ['thequickbrownfox', 'thequickbrownfox'], ['bb', 'thequickbrownfox'], ['fizzbuzz', 'fizzbuzz'], ['122', '12mississippi2'], ['aaacarabbbbcccc', 'efg'], ['hello world', 'fox'], ['ababa', 'ababa'], ['fizzbuzz', 'fizzzbuzz'], ['12mississippi2', 'efg'], ['hello worrld', 'ababao'], ['thebquickbrownfox', 'thequickbrownfox'], ['aaacarabbbbcccc', 'aaacabrabbbbcccc'], ['zz', 'ababao'], ['thequickbrrownfox', 'thequickbrrownfox'], ['hello woorrld', 'abaabaaoo'], ['aaaabbbbcccc', 'thequickbrownfox'], ['abababab', 'hello woorrld'], ['zz', 'efhello worrldssg'], ['fiuzzbuzz', 'efg'], ['aaaabbbcbcccc', 'hello woorrld'], ['bb', 'bssb'], ['zz', 'zz'], ['12hello woorrld', 'zz'], ['bbaaaabbbcbcccc', 'bssb'], ['sss', 'sefhello worrldssgs'], ['fiuzzbuzz', 'aaaabbbbccccc'], ['efg', 'hello woorrld'], ['ababathequickbrownfox', 'abaaba'], ['efgg', '12mtheqabaabaaoouickbrrownfoxississippi2'], ['bb', 'mississippababao'], ['fizzbuzz', 'fizzzbbbzz'], ['sss', 'sfizzzbbbzzss'], ['ccar', 'rccar'], ['efg', 'abaabaabcdefg'], ['bbaaaabbbcbccc', 'bbb'], ['hello world', 'oo'], ['fizzbuz', 'zzz'], ['aaaabbbcbcccc', 'aaaaabbbcbcccc'], ['hello lwoorrld', 'hello lwoorr'], ['eg', 'egccarfiuzzbuzz'], ['12211221122', '1222'], ['efg', 'efg'], ['ss', 'ssfizzzbbbzzsss'], ['zz', 'zzz'], ['s1222bssbs', 's1222bssbbs'], ['12hello woo1rrcarld', 'zz'], ['hello worrlod', 'ababao'], ['sfizabaabazbbbzzss', 'sfizabaabazbbbzzsabcdefg'], ['ezzbuzz', 'essfizzzbbbzzssszzbuzz'], ['zz', 'zmississippababaoz'], ['mississiezzbuzzpi', 'ss'], ['eg', 'eg'], ['abababab', 'ab'], ['12hello woorrld', 'zzz'], ['efgbbaaaabbbcbcccc', 'efgbbaaababbbcbcccc'], ['hello woorrld', 'hello worldaaacarabbbbcccc'], ['aba', 'aba'], ['ef12mtheqabaabaaoouickbrrownfoxississippi2g', 'effg'], ['ezzbuzz', 'efg'], ['cgareg', 'careg122'], ['122bbaaaabbbcbcccc11221122', '1221122112aaaabbbcbcccc2'], ['sefhello worrldssgs', 'aaaaabbbcbcccc'], ['fiuababathequickbrownfoxzzbuzz', 'fiuizzbuzz'], ['zzz', 'z'], ['fizzbuzz', 'effg'], ['caregsfizabaabazbbbzzss122', 'cggareg'], ['fiuzzbuzz', 'egfg'], ['hellol lwoorr', 'hellol lw'], ['12mtheqabaabaaoouickbrrownfoxississippi2', 'efgg'], ['12hello whello lwoorroorrld', 'zabababab'], ['zz', 'zzzz'], ['hello lwoorr', 'zz'], ['efg', 'effizzbuzzfg'], ['efg', 'egfg'], ['zef12mtheqabaabaaoouickbrrownfoxississippi2gz', 'zz'], ['hello woorrld', 'whello woorrld'], ['thequickbrownfox', 'thequickbrownracecarfox'], ['bb', 'thequickbrownracecarfoxbbb'], ['fiessfizzzbbbzzssszzbuzzuababathequickbrownfoxzzbuzz', 'fiuizzbuzz'], ['bbaaaabbbcb12hello whello lwoorroorrldcccc', 'bssb'], ['therbquickbrownfox', 'thequickbrownfox'], ['bbaaaabbbcbccc', 'oo'], ['aaaaabbbbaaaa', 'aaa'], ['abcdefghijklmnopqrstuvwxyzabc', 'abc'], ['Lorem ipsum dolor sit amet, consectetur adipiscing elit.', 'ipsum'], ['The quick brown fox jumps over the lazy dog.', 'the'], ['aaaaaaaabaaaaaaa', 'ba'], ['banana', 'ana'], ['cacccccac', 'cac'], ['fofofofofofofof', 'of'], ['racecarapenapapayapineapple', 'ap'], ['AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB', 'A"}},"33a27735f47ec7448d37d1e0aa646212"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['', 'a'], ['aaa', 'a'], ['aaaa', 'aa']]\n    results = [0, 3, 3]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(how_many_times)\n\n\n\nprint('___SENTINEL___')\n","9ad9fae944f17a08d1809614aaa9021f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['three'], ['three five nine'], ['five zero four seven nine eight'], ['six five four three two one zero'], ['four eight two'], ['nine'], ['one six two four nine'], ['two seven eight zero five'], ['nine zero'], ['seven three one'], ['two two three three four five six'], ['zero five four one seven eight two six'], ['nine eight seven six five four three two one zero'], ['two zero nine four five six'], ['nine eight seven six five four one zero'], ['two zero nine'], ['four eight'], ['zero five four one seven'], ['six'], ['two two four five six'], ['zero five four one'], ['zero five seven'], ['four two'], ['four'], ['two six'], ['two two five six'], ['seven'], ['zero five four zero five four one seven eight two six'], ['zero five one seven eight two six'], ['four four eight two'], ['seven three'], ['nine eight seven five four three two one zero'], ['two four five six'], ['zero four one'], ['zero seven eight two six'], ['zero five eight two six'], ['zero'], ['one six'], ['nine six'], ['two seven eight five'], ['two'], ['two three three four five six'], ['zero five four seven'], ['nine eight seven one zero'], ['four five six'], ['two nine'], ['two two three'], ['nine eight seven six five two one zero'], ['zero five six'], ['zero five'], ['zero five two six'], ['zero five four zero four one seven eight two six'], ['four eight two two three'], ['five four one seven eight two six'], ['nine seven six five two one zero'], ['nine eight seven six zero'], ['two nine seven six five two one zero'], ['two four six'], ['nine one zero'], ['four six'], ['zero five four'], ['zero two six'], ['zero five one'], ['nine six five two one zero'], ['two nine eight seven six five four one zero'], ['zero four one seven'], ['two zero nine four zero four one'], ['one zero five six'], ['nine seven six five two zero'], ['two nine eight seven six five four one zero one zero'], ['two nine seven six five two one zero five two six'], ['one'], ['nine eight seven five four three two one'], ['two seven'], ['nine eight seven six'], ['zero five one seven six'], ['nine one zero five four one seven eight two six'], ['zero two'], ['two four zero four one'], ['zero five four zero five four one seven'], ['two two four five'], ['zero one seven eight two six'], ['nine two six'], ['nine one zero five four one six'], ['two two seven eight zero five four five six'], ['two four zero four'], ['two zero six'], ['two three'], ['two nine seven six five two one zero four five six'], ['nine six five two three three four five six one zero'], ['nine eight one zero'], ['two four'], ['four two nine eight seven six five four one zero'], ['two two'], ['nine seven six five two one'], ['one six two nine'], ['zero five four one seven eight six'], ['nine seven four six'], ['five six'], ['two zero nine four one'], ['zero five four one eight two six'], ['nine one zero five four one'], ['one two three four five six seven eight nine'], ['nine eight seven six five four three two one'], ['five seven eight six nine four zero two one three'], ['four six nine eight seven one five zero two three'], ['seven one zero five two four eight six nine three'], ['zero one two three four five six seven eight nine'], ['two four six eight zero one three five seven nine'], ['nine seven five three one eight six four two zero'], ['one zero three four two six five seven eight nine'], ['seven five zero four nine eight two six one three'], ['five'], ['eight'], ['four six nine eight five zero two three'], ['one two three three'], ['two nine eight seven six five four three two one seven nine'], ['zero one two five six seven eight nine'], ['five four six nine eight seven one five zero two three two one three'], ['nine eight seven six five four two one'], ['one two one four'], ['one one one one one'], ['one two'], ['four four two six nine two zero'], ['nine eight seven six five two three two one'], ['nine eight seven two one'], ['one zero three nine'], ['nine eight'], ['seven one zero five three'], ['zero two three']]\n    results = ['', 'three', 'three five nine', 'zero four five seven eight nine', 'zero one two three four five six', 'two four eight', 'nine', 'one two four six nine', 'zero two five seven eight', 'zero nine', 'one three seven', 'two two three three four five six', 'zero one two four five six seven eight', 'zero one two three four five six seven eight nine', 'zero two four five six nine', 'zero one four five six seven eight nine', 'zero two nine', 'four eight', 'zero one four five seven', 'six', 'two two four five six', 'zero one four five', 'zero five seven', 'two four', 'four', 'two six', 'two two five six', 'seven', 'zero zero one two four four five five six seven eight', 'zero one two five six seven eight', 'two four four eight', 'three seven', 'zero one two three four five seven eight nine', 'two four five six', 'zero one four', 'zero two six seven eight', 'zero two five six eight', 'zero', 'one six', 'six nine', 'two five seven eight', 'two', 'two three three four five six', 'zero four five seven', 'zero one seven eight nine', 'four five six', 'two nine', 'two two three', 'zero one two five six seven eight nine', 'zero five six', 'zero five', 'zero two five six', 'zero zero one two four four five six seven eight', 'two two three four eight', 'one two four five six seven eight', 'zero one two five six seven nine', 'zero six seven eight nine', 'zero one two two five six seven nine', 'two four six', 'zero one nine', 'four six', 'zero four five', 'zero two six', 'zero one five', 'zero one two five six nine', 'zero one two four five six seven eight nine', 'zero one four seven', 'zero zero one two four four nine', 'zero one five six', 'zero two five six seven nine', 'zero zero one one two four five six seven eight nine', 'zero one two two two five five six six seven nine', 'one', 'one two three four five seven eight nine', 'two seven', 'six seven eight nine', 'zero one five six seven', 'zero one one two four five six seven eight nine', 'zero two', 'zero one two four four', 'zero zero one four four five five seven', 'two two four five', 'zero one two six seven eight', 'two six nine', 'zero one one four five six nine', 'zero two two four five five six seven eight', 'zero two four four', 'zero two six', 'two three', 'zero one two two four five five six six seven nine', 'zero one two three three four five five six six nine', 'zero one eight nine', 'two four', 'zero one two four four five six seven eight nine', 'two two', 'one two five six seven nine', 'one two six nine', 'zero one four five six seven eight', 'four six seven nine', 'five six', 'zero one two four nine', 'zero one two four five six eight', 'zero one one four five nine', 'one two three four five six seven eight nine', 'one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'zero one two three four five six seven eight nine', 'five', 'eight', 'zero two three four five six eight nine', 'one two three three', 'one two two three four five six seven seven eight nine nine', 'zero one two five six seven eight nine', 'zero one one two two three three four five five six seven eight nine', 'one two four five six seven eight nine', 'one one two four', 'one one one one one', 'one two', 'zero two two four four six nine', 'one two two three five six seven eight nine', 'one two seven eight nine', 'zero one three nine', 'eight nine', 'zero one three five seven', 'zero two three']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sort_numbers)\n\n\nprint('___SENTINEL___')\n","d918fe35ac467f17d47a3c636f2c32ad"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['three one five']]\n    results = ['one three five']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sort_numbers)\n\n\n\nprint('___SENTINEL___')\n","5de5b23ba28e6f543a840f7b5f0c0634"]
[{"$cut":{"chars":110188,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1.0, 2.0, 3.9, 4.0, 5.0, 2.2]], [[1.0, 2.0, 5.9, 4.0, 5.0]], [[1.0, 2.0, 3.0, 4.0, 5.0, 2.2]], [[1.0, 2.0, 3.0, 4.0, 5.0, 2.0]], [[1.1, 2.2, 3.1, 4.1, 5.1]], [[1.5, 2.5, 3.5, 4.5]], [[0.5, 1.0, 2.0, 3.0, 4.0, 5.0]], [[1.0, 1.2, 1.4, 1.6, 1.8]], [[3.4, 5.6, 8.1, 14.5, 21.7]], [[0.5, 0.9, 1.2, 1.8, 2.5, 2.9, 3.1]], [[2.0, 2.1, 2.2, 2.3, 2.4, 2.5]], [[1.1, 1.2, 1.3, 1.4, 10.0]], [[1.1, 2.2, 3.3, 5.1, 7.8, 9.9]], [[1.0, 3.0, 5.0, 7.0, 9.0]], [[1.5, 2.5, 3.5, 4.5, 5.5]], [[1.1, 2.2, 3.3, 5.1, 7.8]], [[-0.36581021654089096, 0.9, 1.0, 1.8, 2.5, 2.9]], [[2.0, 2.1, 2.3, 2.4]], [[1.1, 1.3, 1.395275547571625, 1.4, 10.0]], [[1.1, 1.2, 1.3, 10.0]], [[1.0, 1.2, 1.4, 1.4, 1.6, 1.8]], [[1.1, 2.2, 3.3, 5.1, 5.605725348678288, 7.8]], [[2.0, 2.1, 2.3, 2.4, 5.0, 7.8]], [[0.5, 0.9, 1.2, 1.8, 2.5, 2.5, 2.9, 3.1]], [[1.0, 1.2, 1.4]], [[1.1, 1.3, 1.395275547571625, 1.4]], [[0.5, 1.0, 2.0, 2.276052871016944, 3.0, 4.0, 5.0]], [[1.2, 1.3, 10.0]], [[2.0, 2.1, 2.3, 2.4, 5.0, 5.0, 7.8]], [[1.5, 1.5, 2.5, 3.5, 4.5]], [[1.2, 1.3556851172598539, 1.4, 1.6, 1.8]], [[1.5, 2.5, 3.5, 4.5, 4.5]], [[1.3, 10.0]], [[1.1, 1.3, 1.395275547571625, 1.9065922001939695, 10.0]], [[1.0, 1.0, 1.0, 3.0, 5.0, 7.0, 9.0]], [[0.5, 1.0, 2.0, 2.276052871016944, 2.276052871016944, 3.0, 4.0, 5.0]], [[2.0, 2.1, 2.1]], [[1.1963194756636508, 1.6325127784783873, 2.0, 2.1, 2.2, 2.3, 2.4, 2.424000205756431, 2.5]], [[1.1, 1.3, 1.395275547571625, 1.4, 1.4603348592696748, 1.7891067661112277, 10.0]], [[1.5, 2.5, 3.4, 3.5]], [[1.2, 1.3556851172598539, 1.4, 1.6, 1.6, 1.8, 2.5]], [[1.2, 2.0, 2.1, 2.4]], [[1.1, 1.3, 1.395275547571625, 1.5310052282063495]], [[1.1963194756636508, 2.0, 2.1, 2.2, 2.3, 2.4, 2.424000205756431, 2.5, 3.4]], [[1.1963194756636508, 1.3, 2.0, 2.1, 2.2, 2.3, 2.4, 2.424000205756431, 2.5, 3.4]], [[1.2, 1.3556851172598539, 1.4, 1.4, 1.6, 1.8]], [[1.0, 1.2, 1.4, 1.4, 1.4, 1.6, 1.8]], [[1.5, 1.5, 2.5, 3.5, 4.5, 4.5]], [[0.5, 0.5, 0.6660078740884678, 1.1, 1.3, 1.4, 10.0]], [[1.1, 1.3, 1.395275547571625, 1.395275547571625, 1.4, 10.0]], [[1.3, 1.395275547571625, 1.4, 10.0]], [[1.1963194756636508, 1.8332957131132472, 2.1, 2.2, 2.3, 2.4, 2.424000205756431, 2.5, 3.0198699773905164, 3.4]], [[0.5, 0.9, 1.2, 1.4603348592696748, 1.8, 2.5, 2.9, 3.1, 3.1]], [[0.5, 0.9, 1.2, 1.8, 2.5, 2.9, 3.1, 3.1]], [[1.0884212994945, 2.0, 2.0, 2.1, 2.1]], [[3.0, 3.3, 5.0, 7.0, 9.0]], [[2.2, 4.001419307404744, 5.1, 7.8, 9.9]], [[1.0, 1.0, 1.0, 1.0884212994945, 3.206051292454492, 5.0, 7.0, 7.0, 9.0]], [[1.1963194756636508, 2.0, 2.1, 2.1, 2.2, 2.3, 2.4, 2.424000205756431, 2.5, 3.4, 5.0]], [[0.5, 0.9, 1.2, 1.8, 2.5, 2.6605281965718235, 2.9, 3.1]], [[0.5, 0.9, 1.2, 1.8, 2.5, 2.9, 3.1, 3.1, 14.5]], [[1.0, 1.0, 1.0, 1.0, 1.0884212994945, 3.206051292454492, 5.0, 7.0, 9.0, 9.819481586162372]], [[1.1, 1.3, 1.395275547571625, 1.395275547571625, 1.395275547571625, 1.4, 10.0, 10.511377904483744]], [[0.5, 0.9, 1.2, 1.8, 2.6605281965718235, 2.9, 3.1]], [[2.0, 2.4]], [[1.1, 1.3, 1.395275547571625, 1.395275547571625, 1.395275547571625, 1.395275547571625, 1.4, 10.0]], [[1.3, 1.5, 2.3827054707590554, 2.5, 3.5, 4.5, 4.5]], [[1.1, 1.2, 1.3, 10.0, 10.0]], [[1.1963194756636508, 1.8332957131132472, 2.1, 2.2, 2.3, 2.4, 2.424000205756431, 2.5, 3.0198699773905164, 3.4, 14.5, 18.924237928824464]], [[1.0, 1.2, 1.4, 1.4, 1.6, 1.6, 1.8]], [[1.0, 1.0, 1.2, 1.4, 1.4, 1.4, 1.5267476484891433, 1.6, 1.8]], [[1.1, 2.2, 3.3, 5.1, 5.605725348678288]], [[1.1, 1.3, 1.395275547571625, 1.4603348592696748, 1.78910"}},"0e235f192932f6f8bd7fd92b399afa8d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1.0, 2.0, 3.0, 4.0, 5.0, 2.2]], [[1.0, 2.0, 3.0, 4.0, 5.0, 2.0]]]\n    results = [(2.0, 2.2), (2.0, 2.0)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(find_closest_elements)\n\n\n\nprint('___SENTINEL___')\n","d7c37f49652a7e82df2ac1a0975b4e64"]
[{"$cut":{"chars":214656,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[2.0, 49.9]], [[100.0, 49.9]], [[1.0, 2.0, 3.0, 4.0, 5.0]], [[2.0, 1.0, 5.0, 3.0, 4.0]], [[12.0, 11.0, 15.0, 13.0, 14.0]], [[-10.0, 0.0, 10.0]], [[5.0, 2.0, 2.0, 5.0]], [[1.5, 2.0, 2.5, 3.0, 3.5]], [[10.0, 5.0, 2.5, 0.0, -2.5, -5.0, -10.0]], [[1.0, -1.0, 1.0, -1.0, 1.0]], [[0.1, 0.5, 0.9, 0.3, 0.7]], [[5.0, 10.0, 15.0, 20.0, 25.0]], [[-100.0, -50.0, 0.0, 50.0, 100.0]], [[1.0, 2.0, 3.0, 4.0]], [[7.0, 3.0, 8.0, 2.0]], [[1.5, 2.0, 2.5, 3.0, 3.5, 3.5, 3.4499912778820896]], [[1.0, -1.0, 1.0, -1.0, 1.0, 0.6831806134735121]], [[1.0, -1.0, 1.0, -1.0, 1.0, 0.531467821985593]], [[10.0, 5.0, 0.0, -2.5, -5.0, -9.46747586475692]], [[0.5, 0.9, 0.3, 0.7]], [[3.0, 8.0, 2.0]], [[10.0, 5.0, 0.0, -2.5, -5.0, -2.5]], [[1.0, -1.0, 1.0, -1.0, 0.6831806134735121, -1.0]], [[1.0, 2.0, 3.0, 4.88337557029465]], [[1.0, 1.0, -1.0, 1.0]], [[4.130142616161574, 2.0, 5.0, 5.0]], [[-10.0, 10.0]], [[0.1, 0.9, 0.3, 0.7]], [[1.5, 2.0, 2.1745158364579007, 3.0, 3.5, 3.5, 3.4499912778820896, 2.7376185386525926, 3.5]], [[5.0, 2.0, 2.0, 5.0, 2.0, 5.0]], [[1.0, 1.0, -1.0, 1.0, -1.0]], [[-10.0, 0.0, 10.0, 0.5218127444499308]], [[10.0, 5.0, 0.0, -2.5, -5.0, -9.46747586475692, 3.5]], [[-9.142847173489907, 0.0, 10.0, -10.0]], [[-100.0, -62.89269313319225, 0.0, 50.0, 100.0]], [[1.0, -1.0, -10.0, -1.0, 0.6831806134735121, -1.0, 1.0]], [[0.1, 0.3, 0.7]], [[1.0, -1.0, 1.0, 1.0]], [[10.0, 4.067002335783351, 0.0, -2.5, -5.0, -9.46747586475692]], [[10.0, 5.0, 2.5, 0.26171065189523324, -2.5, -5.0, -10.0, -100.0]], [[0.1, 0.3, 0.7, 0.2985177336558441]], [[1.0, -1.0, 1.0, -1.0, 0.531467821985593]], [[5.0, 2.0, 2.0, 5.0, 2.0]], [[1.0, -1.0, 1.0, -1.0, 0.6831806134735121, -1.0, -1.0]], [[10.0, 0.0, -2.5, -5.0, -9.46747586475692]], [[1.0, -1.0, 3.4499912778820896, -1.0, -1.0, 1.0, 0.5838719823105398]], [[-10.0, 0.0, 10.0, 0.5218127444499308, 0.0, 0.531467821985593, -10.0]], [[3.0, 8.0, 2.0, -50.0]], [[10.0, 5.0, 0.0, -2.5, -9.46747586475692, -3.3072700859535313]], [[-1.0, 1.0, -1.0, 0.531467821985593]], [[0.1, 0.9, 0.3, 0.7, 0.7]], [[1.0, -1.0, 1.0, -1.0, 0.531467821985593, 1.0]], [[1.0, -1.0, 1.0, -1.0, 0.531467821985593, 0.0]], [[-5.937376318260506, 10.0]], [[3.944887597354252, 2.0, 2.0, 5.0, 2.0]], [[-1.0, 1.0, -1.0, 0.6831806134735121, -1.0, 1.1140129329785569]], [[-10.0, 0.0, 0.5218127444499308, 0.0, -10.0]], [[5.0, 2.0, 2.0, 5.0, 5.5393493405344465]], [[10.0, 5.0, 0.0, -2.5, -5.0, -7.758548951714786]], [[7.0, 3.0, 2.0]], [[1.0, 1.0, 1.0, -0.6653352961236785, 1.0]], [[1.5, 2.0, 2.5, 3.0, 3.5, 3.4499912778820896]], [[0.1, 0.3, 0.7, 0.2985177336558441, 0.2985177336558441]], [[-1.342224527290663, 1.0, -1.0, 0.531467821985593]], [[0.1, 0.9, 0.3, 0.7, 0.7, 0.9]], [[-10.0, 0.0, 10.0, 0.0]], [[10.0, 5.0, 0.0, -2.5, -5.0, -7.758548951714786, 10.0]], [[-10.0, 0.0, 10.0, 0.5218127444499308, -10.0]], [[-1.0, 1.0, -1.0, 1.1140129329785569]], [[-1.0, 1.0, -1.0, 0.531467821985593, 4.067002335783351]], [[1.5, 2.0, 4.067002335783351, 3.0, 3.5, 3.5, 3.4499912778820896, 2.7376185386525926, 3.5]], [[0.1, 0.9, 0.3, 0.7, 0.7, 0.9, 0.7]], [[5.0, 2.0, 2.0, 5.0, 3.4499912778820896, 5.165207408346182, 2.5]], [[0.0, 10.0, 0.5218127444499308, 0.0, 0.531467821985593, -10.0]], [[5.0, 15.0, 20.0, 25.0, 15.0]], [[5.0, 2.0, 4.067002335783351, 5.0, 2.0, 4.067002335783351]], [[0.0, -5.0, -9.46747586475692]], [[5.0, 2.0, 2.0, 5.0, 3.4499912778820896, 5.165207408346182, 2.5, 4.067002335783351, 2.0, 1.3728105527515997]], [[0.13529057908833445, 0.3, 0.7, 0.2985177336558441, 0.298"}},"c894f93039358f820d515b0ef23676fa"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1.0, 2.0, 3.0, 4.0, 5.0]]]\n    results = [[0.0, 0.25, 0.5, 0.75, 1.0]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(rescale_to_unit)\n\n\n\nprint('___SENTINEL___')\n","91a20a9ff0a55150a1f1ce47b10a8c5a"]
[{"$cut":{"chars":95614,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[4, {}, [], 23.2, 9, 'adasd']], [[3, 'c', 3, 3, 'a', 'b']], [[1, 2, 3, 4, 5]], [[2.5, 4.6, 7.8, 'abc', {}, []]], [[True, False, None, 0, -10, 'test', [], {}, 3.14]], [[1, '2', '3', 4, -5]], [[1000000, -1000000, 1.32, '-1', '-2', [1, 2, 'three']]], [['apple', 2.71828, None, False, 'watermelon', 42]], [[1, -1, 0, 999]], [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]], [[1.5, 2.7, 3.0, -4.6]], [['hello', 'world', 'how', 'are', 'you']], [[True, False, None, 0, 3.253739830287621, -10, 'test', [], {}, 3.14]], [['arare', 'world', 'how', 'are', 'you']], [['hello', 'worldd', 'how', 'are', 'you', 'hellhelloo', 'how']], [[1.5, 2.7, 3.0, -4.6, 1.5, 1.5]], [[1.5, 2.7, 3.0, 1.5]], [[4.6, 7.8, 'aapplebc', {}, [], 2.5]], [['apple', 2.71828, None, False, 'watermelon', 42, 2.71828]], [[1.5, 2.7, 3.0, -4.6, -4.6]], [[2.7, 3.0, -4.6, 1.5, 1.5]], [['hello', 'how', 'world', 'how', 'test', 'you']], [[True, False, None, 0, -10, 'test', [], {'1.5': 'hellhelloo', '2.5': '-2', '2.7': '-2', '3.0': '-2', '82.08860694438306': 'hello', '-51.08332919278058': 'Guxr', '18.590257578242174': 'are', '61.76736727274371': 'HECIzOixT', '62.37768526891736': 'hello'}, 3.14]], [[{'1.5': 'hellhelloo', '2.5': '-2', '2.7': '-2', '3.0': '-2', '82.08860694438306': 'hello', '-51.08332919278058': 'Guxr', '18.590257578242174': 'are', '61.76736727274371': 'HECIzOixT', '62.37768526891736': 'hello', '4.6': 'watermelon'}, True, False, None, 0, -10, 'test', [], {'1.5': 'hellhelloo', '2.5': '-2', '2.7': '-2', '3.0': '-2', '82.08860694438306': 'hello', '-51.08332919278058': 'Guxr', '18.590257578242174': 'are', '61.76736727274371': 'HECIzOixT', '62.37768526891736': 'hello', '4.6': 'watermelon'}, 3.14]], [[1.5, 2.7, 3.0, -51.08332919278058, -4.6]], [[78.61928819331277, -6.77509560458482, -16.107923403329096, -80.34678514569492]], [[1.5, 2.7, 3.0, 1.5, 2.7]], [['hello', 'how', 'world', 'how', '', 'ho-2w', 'worldhow', 'test', 'you']], [[2.7, 3.0, 1.5, 1.5]], [[True, False, None, 0, -10, 'test', [], {}, 3.14, 'test']], [[4.6, 7.8, 'aapplebc', {}, [], 2.5, []]], [[2.5, 4.178596277327428, 7.8, 'abc', {}, [], {}]], [[8, 1, 2, 3, 4, 5, 5, 1]], [['apple', 'appaapplebcle', 2.71828, None, False, 'watermelon', 42, 2.71828, 'apple']], [[2.5, 4.6, 7.8, 'abc', {}, [], 7.8]], [[1.5, 2.7, 3.0, -16.107923403329096, -4.6, -4.6]], [[2.7, 1.5, 1.5]], [[1.5, 1.32, 3.0, 1.5]], [['hello', 'worldd', 'how', 'are', 'you', 'hellhelloo', 'howatermelonw']], [[2.5, 4.6, 7.8, 'abc', 'cabc', {}, []]], [[True, False, None, 0, -10, 'test', [], {}, 3.14, None]], [[True, False, None, 0, -10, 'test', [8], {}, 3.14, None]], [['hello', 'worldd', 'how', 'heho-2wllhelloo', 'are', 'you', 'hellhelloo', 'how']], [[2.7, 1.32, 3.0, 1.5, 1.5]], [['hello', 'worldd', 'how', '-2', 'you', 'htestlHECIzOixTonw', 'hellhelloo', 'howatermelHECIzOixTonw']], [[2.7, 1.5, 2.8509645275834243, 2.212995480233853, 2.8509645275834243]], [[1, -1, 0, 999, 1]], [['hello', 'worldd', '-22', 'how', '-2', 'you', 'htestlHECIzOixTonw', 'hellhelloo', 'howatermelHECIzOixTonw']], [[3.0, 1.5, 1.5]], [[True, False, None, 0, -10, 'watermelon', [], {}, 3.14, 'test']], [[2.5, 4.6, 7.8, 'abc', {}, [], 7.8, 4.6]], [[2.7, 3.0, 1.5, 1.5, 3.0]], [['hello', 'worldd', '-22', 'htestlHECoIzOixTonw', 'how', '-2', 'you', 'htestlHECIzOixTonw', 'hellhelloo', 'howatermelHECIzOixTonw']], [[4.6, 7.8, 3.14, 'aapplebc', {}, 5.274713462957015, [], 2.5, 7.8]], [[2.7, 1.5, 2.8509645275834243, 2.212995480233853, 2.5072599122885295, 2.8509645275834243, 2.7]],"}},"698b518f49e95ae156b1b270db24c355"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[['a', 3.14, 5]], [[1, 2, 3, 'abc', {}, []]]]\n    results = [[5], [1, 2, 3]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(filter_integers)\n\n\n\nprint('___SENTINEL___')\n","9a4b3914732c723dde95dc35c78b7bdd"]
[{"$cut":{"chars":44630,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['x'], ['asdasnakj'], ['Hello, World!'], ['12345'], [' '], ['This is a long string that has many characters in it'], ['abcdefghijklmnopqrstuvwxyz'], ['Testing testing 123'], ['The quick brown fox jumps over the lazy dog'], ['one\\ntwo\\nthree\\nfour\\nfive'], ['1234567890'], ['This string has a \\n newline character'], ['one\\ntwo\\nthree\\nf\\nfoive'], ['The quick brown fox jumps overq the lazy dog'], ['abcdefgjklmnopqrstuvwxyz'], ['three\\nfour\\nfive'], [' This striThis is a long string that has many characters in itng has a \\n newline character'], ['The quick brown fox jumps over the lazy This striThis is a long string that has many characters in itng has a \\n newline character dog'], ['1234 This striThis is a long string that has many characters in itng has a \\n newline character5'], ['The quick brown fox jumps over the lazy This striThis is aaracter dog'], ['one\\ntwot\\nthree\\nfour\\nfive'], ['11234567890'], ['one\\ntwot\\nthrThis is a long string that has many characters in itee\\nfour\\nfive'], ['The quick brown f ox jumps over the lazy dog'], ['122345'], ['Testing testingone\\ntwot\\nthrThis is a long string that has many characters in itee\\nfour\\nfive 123'], ['one\\ntwot\\nthrThis is a long string thtat has many characters in itee\\nfour\\nfive'], ['123345'], ['The quick brown fox jumps over the lazy Thisthree\\nfour\\nfiveracter dog'], ['GNDKQyadEb'], ['Hello, Woorld!'], ['of\\nfoive'], ['The quick brown fox jumps overq theHello, World! lazy dog'], ['M'], ['NEvG'], ['Hello, Woorlod!'], ['thrieeThe quick brown fox jumps overq the lazy dog\\nfour\\nfive'], ['one\\ntwot\\nthree\\nfour\\nfiv'], ['abcdefghijklmnopq1234 This striThis is a long string that has many characters in itng has a \\n newline character5rstuvwxyz'], ['Hello, Woo12345rld!'], ['one\\ntwot This striThis is a long streing that has many characters in itng has a \\n newline character\\nthree\\nfour\\nfive'], [' This striThis is a long string that has many characters in itng has a \\n neawline character'], ['1223545'], ['one\\ntwota\\nthrThis is a long string that has many characters in itee\\nfour\\nfive'], ['The quick brzown fox jumps over the leazy Thisis is aaracter dog'], ['1234 This sitriThis is a long string that has many characters in itng has a \\n newline character5'], ['TestiTng testing 123'], ['GNDThis string has a \\n newline characterdEb'], ['The quick brzown fox sjumps over the leazy Thisis is aaracter dog'], ['G1234 This sitriThis is a long string that has many characters in itng has a \\n newline character5NDKQyadEb'], ['The quick brown fox jumps over theThe quick brown fox jumps overq the lazy dog lazy Thisthree\\nfour\\nfiveracter dog'], ['G1234 This sitriThis is a long string that has many characters in itng has a \\n newline character5NDKThe quick brown fox jumps over theThe quick brown fox jumps overq the lazy dog lazy Thisthree\\nfour\\nfiveracter dogQyadEb'], ['oef\\nffoive'], ['one\\ntwot\\nthrThis is a long string that has many characters in itee\\nfoour\\nfive'], ['of\\nfoivfe'], ['Testing te stingone\\ntwot\\nthrThis is a long string that has many characters in itee\\nfour\\nfive 123'], ['Hello, WoG1234 This sitriThis is a long string that has many characters in itng has a \\n newline character5NDKThe quick brown fox jumps over theThe quick brown fox jumps overq the lazy dog lazby Thisthree\\nfour\\nfiveracter dogQyadEborlod!'], ['Hello,The quick brown fox jumps over the lazy Thisthree\\nfour\\nfiveracter dog Woo12345rld!'], ['Hello, WoG1234 This si"}},"ef4fb28f90c555e1aea66c56ed292cb7"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[''], ['abc']]\n    results = [0, 3]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(strlen)\n\n\n\nprint('___SENTINEL___')\n","0a77116cddc80a33d86811aebff8d1ab"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[3], [7], [10], [100], [49], [2], [27], [101], [235], [500], [999], [1000], [36], [72], [81], [499], [234], [73], [998], [35], [22], [23], [1001], [74], [236], [82], [75], [99], [76], [77], [24], [28], [80], [238], [29], [237], [56], [57], [997], [30], [4], [102], [37], [233], [103], [78], [55], [5], [58], [21], [83], [25], [1003], [996], [11], [501], [34], [232], [995], [231], [33], [79], [502], [1004], [54], [1005], [1002], [20], [230], [98], [32], [31], [53], [65], [59], [38], [52], [19], [97], [64], [12], [51], [1006], [39], [40], [60], [61], [6], [96], [63], [26], [104], [239], [41], [88], [42], [84], [503], [43], [62], [18], [127], [1321], [500027], [732312], [1234567], [732313], [126], [500028], [1322], [732314], [1234568], [1320], [500029], [95], [500030], [732311], [1323], [1234569], [1234566], [500031], [50], [732315], [1234570], [732310], [128], [732309], [1324], [500026], [71], [732316], [131], [125], [500025], [70], [48], [47], [46], [994], [69], [124], [1234572], [1325], [500024], [132], [1234571], [1319], [94], [993], [130], [992], [129], [1318], [732317], [732318], [990], [44], [989], [732308], [732306], [732307], [732305], [732304], [1234565], [732303], [8], [732302], [92], [93]]\n    results = [1, 1, 5, 50, 7, 1, 9, 1, 47, 250, 333, 500, 18, 36, 27, 1, 117, 1, 499, 7, 11, 1, 143, 37, 118, 41, 25, 33, 38, 11, 12, 14, 40, 119, 1, 79, 28, 19, 1, 15, 2, 51, 1, 1, 1, 39, 11, 1, 29, 7, 1, 5, 59, 498, 1, 167, 17, 116, 199, 77, 11, 1, 251, 502, 27, 335, 501, 10, 115, 49, 16, 1, 1, 13, 1, 19, 26, 1, 1, 32, 6, 17, 503, 13, 20, 30, 1, 3, 48, 21, 13, 52, 1, 1, 44, 21, 42, 1, 1, 31, 9, 1, 1, 45457, 366156, 9721, 23623, 63, 250014, 661, 366157, 617284, 660, 1, 19, 250015, 1, 441, 411523, 617283, 166677, 25, 244105, 617285, 366155, 64, 244103, 662, 250013, 1, 366158, 1, 25, 166675, 35, 24, 1, 23, 497, 23, 62, 617286, 265, 250012, 66, 94967, 1, 47, 331, 65, 496, 43, 659, 38543, 366159, 495, 22, 43, 366154, 366153, 15581, 146461, 366152, 246913, 244101, 4, 366151, 46, 31]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(largest_divisor)\n\n\nprint('___SENTINEL___')\n","e74e56ad70b6ba9aaffee0a8b84f6894"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[15]]\n    results = [5]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(largest_divisor)\n\n\n\nprint('___SENTINEL___')\n","fa653f5344c7dc1cf38d3ede944e0864"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[2], [4], [8], [57], [3249], [185193], [20577], [18], [10], [15], [28], [1024], [131], [33], [1000], [100], [123456789], [987654321], [1025], [11], [1026], [29], [1027], [14], [34], [13], [99], [132], [123456790], [1023], [123456788], [32], [31], [1022], [987654320], [123456791], [1028], [123456787], [123456792], [27], [39], [12], [30], [2147483647], [1207943], [112234369], [999983], [1003001001], [43121192843], [1073741789], [9999999967], [1003001000], [112234370], [56], [9999999966], [2147483646], [1003000999], [1207942], [999984], [79], [80], [1003001002], [78], [77], [112234368], [9999999965], [83], [76], [75], [112234367], [52], [112234371], [2147483645], [53], [9999999964], [112234372], [1003001004], [101], [6], [1003001005], [1073741788], [67], [123456786], [1003001003], [47], [58], [26], [51], [55], [38], [37], [17], [125], [7919], [987654322], [43121192841], [43121192844], [987654323], [43121192842], [123456785], [112234366], [999982], [112234365], [43121192845], [2147483644], [1207944], [1073741790], [1073741791], [9999999969], [2147483643], [1207945], [43121192840], [1207946], [1003000998], [43121192839], [112234364], [9999999968], [987654324], [1207947], [999980], [999979], [999981], [43121192838], [987654319], [999985], [2147483642], [2147483641], [46], [43121192837], [999987], [987654325], [1003000997], [987654326], [1207948], [999986], [987654327], [50], [999978], [999988], [999977], [999989], [9999999963], [44], [43], [42]]\n    results = [[2], [2, 2], [2, 2, 2], [3, 19], [3, 3, 19, 19], [3, 3, 3, 19, 19, 19], [3, 19, 19, 19], [2, 3, 3], [2, 5], [3, 5], [2, 2, 7], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [131], [3, 11], [2, 2, 2, 5, 5, 5], [2, 2, 5, 5], [3, 3, 3607, 3803], [3, 3, 17, 17, 379721], [5, 5, 41], [11], [2, 3, 3, 3, 19], [29], [13, 79], [2, 7], [2, 17], [13], [3, 3, 11], [2, 2, 3, 11], [2, 5, 37, 333667], [3, 11, 31], [2, 2, 7, 13, 17, 71, 281], [2, 2, 2, 2, 2], [31], [2, 7, 73], [2, 2, 2, 2, 5, 37, 333667], [123456791], [2, 2, 257], [31, 31, 128467], [2, 2, 2, 3, 59, 87187], [3, 3, 3], [3, 13], [2, 2, 3], [2, 3, 5], [2147483647], [11, 11, 67, 149], [13, 8633413], [999983], [3, 31, 10784957], [26731, 1613153], [1073741789], [9999999967], [2, 2, 2, 5, 5, 5, 1003001], [2, 5, 11223437], [2, 2, 2, 7], [2, 3, 11, 457, 331543], [2, 3, 3, 7, 11, 31, 151, 331], [7, 11, 13, 41, 24439], [2, 41, 14731], [2, 2, 2, 2, 3, 83, 251], [79], [2, 2, 2, 2, 5], [2, 181, 631, 4391], [2, 3, 13], [7, 11], [2, 2, 2, 2, 2, 2, 2, 3, 19, 15383], [5, 29, 1327, 51971], [83], [2, 2, 19], [3, 5, 5], [7, 16033481], [2, 2, 13], [3, 37411457], [5, 19, 22605091], [53], [2, 2, 17, 17, 31, 173, 1613], [2, 2, 28058593], [2, 2, 3, 3, 27861139], [101], [2, 3], [5, 200600201], [2, 2, 7, 2341, 16381], [67], [2, 3, 20576131], [17, 59, 101, 9901], [47], [2, 29], [2, 13], [3, 17], [5, 11], [2, 19], [37], [17], [5, 5, 5], [7919], [2, 701, 704461], [3, 3, 131, 1237, 29567], [2, 2, 3, 3593432737], [987654323], [2, 7, 13, 5717, 41443], [5, 24691357], [2, 56117183], [2, 79, 6329], [3, 3, 5, 23, 108439], [5, 8624238569], [2, 2, 233, 1103, 2089], [2, 2, 2, 3, 3, 19, 883], [2, 3, 5, 11, 47, 107, 647], [29, 97, 381707], [3, 3333333323], [3, 715827881], [5, 241589], [2, 2, 2, 5, 11, 98002711], [2, 31, 19483], [2, 3, 167, 1000999], [239, 180423401], [2, 2, 11, 643, 3967], [2, 2, 2, 2, 2, 7, 7, 6377551], [2, 2, 3, 443, 185789], [3, 13, 47, 659], [2, 2, 5, 49999], [999979], [3, 3, 111109], [2, 3, 7186865473], [987654319], [5, 7, 28571], [2, 23, 46684427], [2699, 795659], [2, 23], [769, 2383, 23531], [3, 257, 1297], [5, 5, 7, 337, 16747], [23, 317, 137567], [2, 131, 3769673], [2, 2, 7, 7, 6163], [2, 13, 38461], [3, 11, 31, 163, 5923], [2, 5, 5], [2, 3, 7, 29, 821], [2, 2, 11, 22727], [11, 90907], [19, 52631], [3, 3, 3, 370370369], [2, 2, 11], [43], [2, 3, 7]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(factorize)\n\n\nprint('___SENTINEL___')\n","ea288d96d79576242e4a1d7a8ecb3859"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[8], [25], [70]]\n    results = [[2, 2, 2], [5, 5], [2, 5, 7]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(factorize)\n\n\n\nprint('___SENTINEL___')\n","06efefd89fa9606e7391bd438898055d"]
[{"$cut":{"chars":73692,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[1, 2, 3, 4]], [[1, 2, 3, 2, 4, 3, 5]], [[1, 1, 2, 2, 3, 3, 4, 4]], [[1, 2, 3, 4, 5, 6, 7, 8, 9]], [[1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4]], [[2, 2, 2, 2]], [[1, 1, 1, 1]], [[-1, 0, 1, 0, -1, 1]], [[1, 1, 1, 1, 1]], [[1, 2, 3, 4, 5, 6, 6, 7, 8]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9]], [[1, 2, 3, 4, 4, 6, 7, 8, 9]], [[1, 2, 3, 4, 6, 7, 8, 9]], [[1, 2, 3, 4, 4, 7, 8, 9]], [[2, 2, 2, 2, 2]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 9, 9]], [[1, 2, 3, 4, 6, 8, 9]], [[2, 2, 4]], [[1, 2, 3, 4, 5, 6, -1, 7, 8, 9, 8, 9, 9]], [[1, 2, 3, 4, 4, 6, 7, 8, 4, 9]], [[2, 3, 4, 6, 8, 9]], [[1, 2, 3, 4, 4, 7, 8, 9, 2]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 7, 9, 9, 9]], [[1, 2, 3, 4, 4, 6, 7, 8, 9, 4]], [[1, 1, 1, 1, 1, 1]], [[1, 1, 2, 2, 3, 3, 4, 4, 3]], [[1, 2, 3, 4, 4, 6, 1, 7, 8, 9, 4]], [[2, 2, 2]], [[1, 2, 4, 6, 7, 8, 2]], [[1, 1, 1]], [[2, 1, 2, 1, 1, 1]], [[1, 2, 3, 5, 6, 7, 8, 9, 8, 9, 9]], [[1, 1, 1, 2, 2, 3, 4, 4, 4]], [[1, 2, 3, 4, 4, 7, 8, 3, 9, 2]], [[1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 1, 3, 1]], [[2, 1, 2, 1, 1]], [[1, 1]], [[1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 1]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 6, 8, 9, 9]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9]], [[1, 2, 3, 4, 6, 7, 8, 9, 7, 9, 9, 9]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 3]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 7, 9, 9, 9, 9]], [[2, 1, 2, 3, 1, 1]], [[1, 2, 3, 4, 4, 6, 7, 8, 9, 7]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 1]], [[1, 1, 2, 2, 3, 4, 4]], [[1, 1, 6, 2, 2, 3, 4, 4]], [[1, 3, 4, 5, 6, 7, 8, 9, 9, 4, 9]], [[9, 1, 2, 9, 3, 8, 6, 8, 9]], [[1, 1, 1, 1, 3, 2, 2, 3, 3, 4, 4, 4, 1, 3, 1]], [[1, 1, 1, 1, 2, 3, 3, 4, 4, 1]], [[1, 2, 3, 4, 5, 6, 7, 8, 10, 6, 8, 9, 9]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 6, 8, 9, 9, 8]], [[1, 2, 3, 4, 5, 6, 7, 8, 7, 9, 7, 9, 9, 9, 8]], [[1, 2, 4, 6, 7, 8]], [[1, 3, 4, 5, 6, -1, 7, 8, 9, 8, 9, 9]], [[-1, 0, 0, -1, 1]], [[1, 2, 4, 3, 4, 5, 6, 7, 8, 9, 6, 8, 9, 9]], [[1, 1, 1, 1, 3, 2, 2, 3, 3, 4, 3, 4, 1, 3, 1, 3]], [[1, 2, 2, 3, 4, 4, 7, 8, 2]], [[2, 1, 2, 2, 1, 1, 1]], [[1, 2, 4, 7, 8]], [[1, 2, 3, 4, 5, 6, 7, 8, 10, 6, 8, 9, 9, 9]], [[1, 2, 3, 4, 5, 6, 7, 4, 9, 9, 9, 9]], [[1, 2, 3, 4, 5, 6, 7, 8, 6, 8, 9, 9, 9]], [[1, 0, 2, 2, 3, 3, 4, 4]], [[-1, 0, 10, -1, 1]], [[-1, 0, 10, -1, -1]], [[2, 1, 3, 4, 5, 6, 3, 7, 8, 9, 9, 4, 9, 5]], [[1, 2, 3, 4, 4, 0, 8, 9]], [[1, 1, 1, 1, 3, 2, 2, 3, 3, 4, 4, 4, 1, 3, 7, 1]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 5]], [[1, 2, 3, 4, 4, 7, 8, 9, 2, 9]], [[2, 2, 3, 2, 10]], [[2, 1, 1, 1, 1]], [[1, 2, 3, 4, 5, 6, 7, 8, 7, 9, 7, 9, 9, 9, 8, 5]], [[2, 9, 2, 3, 2, 10]], [[1, 2, 4, 3, 4, 5, 6, 7, 8, 9, 6, 8, 9, 9, 6, 3]], [[1, 2, 3, 4, 6, 8, 9, 8]], [[1, 2, 3, 4, 4, 3, 6, 7, 8, 9, 4]], [[1, 2, 4, 5, 6, 7, 8, 7, 9, 7, 9, 8, 9, 9, 8]], [[1, 2, 3, 4, 6, 7, 9]], [[1, 2, 3, 4, 4, 6, 1, 7, 8, 3, 4]], [[1, 2, 3, 4, 4, 6, 7, 8, 9, 8, 9, 9]], [[1, -1, 3, 4, 5, 6, 7, 4, 9, 9, 9, 9]], [[2, 1, 1, 1, 3, 2, 2, 3, 3, 4, 3, 4, 1, 3, 1, 3]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]], [[1, 2, 3, 3, 3, 4, 4, 5, 5, 5, 5, 6, 7, 8, 9, 9, 9, 9, 10, 11, 11, 12, 12, 12, 13, 13, 13, 13, 14, 14, 15, 16, 17, 18, 18, 19, 20]], [[1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5]], [[-10, 5, 2, 5, -10, 8, 12, 12, 1, 0, -5, 9, -5, 20, 20, -30]], [[10, 10, 10, 10, 10, 10, 10]], [[2, 2, 2, 2, 2, 2, 2, 1]], [[1, 2, 3, 2, 1, 4, 5, 7, 6, 7, 8, 9, 10, 3, 12, 14, 16, 18, 19, 20, 18, 10, 12, 7, 3, 14, 16, 10, 18, 19, 20, 7, 10, 20, 16, 18]], [[2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2"}},"d8ed3dc5b0ff9eaa85c93c8b79749966"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 2, 4]]]\n    results = [[1, 3, 4]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(remove_duplicates)\n\n\n\nprint('___SENTINEL___')\n","9afec3fca5d1d87cfd9ee9e2bf67e2dd"]
[{"$cut":{"chars":89058,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['Hello!'], ['These violent delights have violent ends'], ['123abc'], ['Toggle Me'], ['Flipping cases is so easy!'], ['Flipping Cases Is So Easy!'], ['Python Is Fun'], ['toGGlE Me'], ['fLiP YOuR cAsE'], ['1234'], ['TOGGLE ME'], ['toggle me'], ['123toggle me4'], ['Togg'], ['totggle me'], ['tgoggle me'], ['PtoGGlE Meython Is Fun'], ['PtuoGGlE Meython Is Fun'], ['togglTOGGLE MEe me'], ['Flipping Cases Is So Eassy!'], ['1PtoGGlE Meython Is Fun234'], ['Fun'], ['12134'], ['FunFlippi ng Cases Is So Easy!'], ['12134TOGGLE ME'], ['Toggle toggle meMe'], ['1toggFlipping cases is so easy!le me2134TOGG'], ['tltoGGlE Megoggle me'], ['toGGlE e'], ['tltoGGlE Megoe me'], ['nbfLDUjAi'], ['toTOGGLE MEtggle me'], ['PtoFlipping cases is so easy!GGlE Meython Is Fun'], ['1toggFlipping cases is sotoTOGGLE MEtggle me easy!le me2134TOGG'], ['tgoggleFunFlippi ng Cases Is So Easy!me'], ['112134'], ['FunFlippFlipping cases is so easy!i ng Cases Is So Easy!'], ['112111213434'], ['1213112134abc'], ['1toggFlipping  cases is sotoTOGGLE MEtggle me easy!le me2134TOGG'], ['PtoGGlE Meython Isu Fun'], ['PtuoGGlE Meytheon Is Fun'], ['etltoGGlE Megoe me'], ['togPtoGGlE Meython Isu Fungle me'], ['tgotggle me'], ['toTOGGLE ME112111213434tggle me'], ['ToggMle Me'], ['togPtoGGlE Meython Isu Fungle me12134'], ['gTogg'], ['toTe me'], ['TOGtltoGGlE Megoggle meGLE ME'], ['1PtoGGlE Meython Is FunTOGGLE ME234'], ['1toggFlipping  cases is soto TOGGLE MEtggle me easy!le me2134TOGG'], ['PtoFlipping cases is so easy!hon Is Fun'], ['togPtoGGlE Meytho Fungle me'], ['1PtoGGlE Meython Is FutogPtoGGlE Meytho Fungle menTOGGLE ME234'], ['JmWn'], ['PtoFin'], ['1toggFlipping  cases is sotoTOGGLE MEtgglePtoFlipping cases is so easy!hon Is Fun me easy!le me2134TOGgG'], ['1ptoggFlipping  cases is sotoTOGGLE MEtggle me easy!leme2134TOGG'], ['1PtoGGlE Meython IFun234'], ['FunFlippFlipping cases is so easyTogg!i ng Cases Is So Easy!'], ['1ptoggFlipping  cases is soto1toggFlPtoGGlE Meython Is Funme2134TOGgGTOGGLE MEtggle me easy!leme2134TOGG'], ['1PtoGFunFlippFlipping cases is so easy!i ng Cases Is So Easy!GlE Meython Is Fun234'], ['tgotgge me'], ['Fu123abcn'], ['1PtoGGlE Meython IFlipping Cases Is So Eassy!Fun234'], ['PtoGGlE Meython I su Fun'], ['1PtoGGlE Meython IFun23toggle me4'], ['gToggg'], ['tgotggFlipping Cases Is So Easy!e me'], ['TOGGGLE ME'], ['FunFlippFlipping casetgotggFlipping Cases Is So Easy!e mes is so easy!i ng Cases Is So Easy!'], ['1PtoGGlE Meytlhon Is FunTOGGLE ME234'], ['totggleme'], ['toTToggle toggle meMeOGGLE MEtgggle me'], ['12toTToggle toggle meMeOGGLE MEtgggle me134'], ['PtoFlipping cases is so easy!hon Isun'], ['oTog1PtoGGlE Meython IFun23toggle me4g'], ['togge me'], ['sFunFlippinbfLDUjAi ng Cases Is So Easy!'], ['Python Iss Fun'], ['ttotggl'], ['tolGGlE Me'], ['etoltoGGlgE lMegoe me'], ['1PtoGGlE Meython Is Futog123abcPtoGGlE Meytho Fungle menTOGGLE ME234'], ['1toggFlipping  cases is sotoTOGGLE MEtgglePtoFlicpping cases is so easy!hon Is Fun me easy!le me2134TOGgG'], ['1PtoGGlE Me34'], ['1ptoggFlipping  cases is sotoTOGGLE MEtggle me easy!leme211toggFlipping cases is so easy!le me2134TOGG34TOGG'], ['FunFlippi ng Cases Is So Ea1toggFlipping cases is sotoTOGGLE MEtggle me easy!le me2134TOGGsy!'], ['qJzU'], ['ggleme'], ['etoltoGGgE lMegoe me'], ['tltoGGlE Megoggle mEe'], ['1PtoGGlE Meython IFlipping Cases Is So Eassy!Fun2qJzU34'], ['Python hIs Fun'], ['1121PtoGGlE4'], ['TogMle Me'], ['Fu121ptoggFlipping  cases is sotoTOGGLE M"}},"c5d051a2dde573c98a093dd4908b5dc5"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Hello']]\n    results = ['hELLO']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(flip_case)\n\n\n\nprint('___SENTINEL___')\n","d18548c8f2b23e45aa13de668496f325"]
[{"$cut":{"chars":118746,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [['x', 'y', 'z']], [['x', 'y', 'z', 'w', 'k']], [['apple', 'banana', 'orange']], [['python', 'is', 'a', 'great', 'language']], [['Rock', 'Paper', 'Scissors']], [['123', '456', '789']], [['Hello']], [['hello']], [['', 'world']], [['Python', 'is', 'a', 'programming', 'language']], [['a']], [['', '', '']], [['python', 'is', 'pythonhello', 'a', 'great', 'language', 'is']], [['', 'Hello', 'world']], [['python', 'is', 'pythonhello', 'a', 'pyothonhello', 'great', 'language', 'is']], [['1323', 'pythonhello', '789']], [['python', 'is', 'pythonhello', 'great', 'language', 'is']], [['python', 'is', 'laPapernguage', 'language']], [['Paper', 'woorld']], [['Hello', 'world']], [['python', 'i456', 'is', 'pyothonhello', 'language']], [['apple', 'i456banana', 'orange', 'apple']], [['python', 'a', 'great', 'language', 'language']], [['Scissors', 'python', 'a', 'great', 'language', 'language']], [['hellbananao', 'hello']], [['python', 'a', 'great', 'language', 'language', 'python']], [['python', 'great', 'language', 'language', 'pythoon', 'python']], [['Paper', 'Scissorslanguage']], [['oran456ge', 'apple', 'banana', 'orange']], [['Hello', 'world', 'world']], [['python', 'is', 'pythonhello', 'a', 'great', 'language', 'is', 'is']], [['Rock', 'Paper', 'Scisi456bananasoors', 'Scissoors']], [['Helloo', 'Hello', 'wordld', 'world']], [['python', 'is', 'laPapernguage', 'language', 'language']], [['', 'Hello', 'world', '']], [['python', 'a', 'great', 'language', 'pythlaPapernguageon', 'language']], [['Helloo', 'Hello', 'wordld', 'world', 'wordld']], [['Paper', 'Hello', 'woorld']], [['1323', '789']], [['1323', 'great789']], [['python', 'great', 'language', 'language', 'laHelloonguage', 'pythoon', 'python', 'python']], [['orana45e6ge', 'apple', 'banana', 'orange']], [['orld', 'Hello', 'world', 'world']], [['apple', 'i456banana', 'apple']], [['python', 'a', 'great', 'language', 'language', 'a']], [['hellbananao', '789', '', '', '']], [['hell']], [['python', 'is', 'laPapernguage', 'laPaapernguage', 'language', 'python']], [['1323', 'pythonhello', '789', 'pythonhello']], [['python', 'aa', 'is', 'a', 'great', 'language']], [['', 'laPapernguage', '', '', '', '']], [['language', '', '']], [['']], [['python', 'is', 'a', 'gereat', 'language']], [['python', 'is', 'a', 'programmging', 'Python', 'language', 'gereat']], [['orld', 'Hello', 'world', 'world', 'Hello']], [['', 'Hello', 'worldaa', '']], [['pythoon', '1323', '789']], [['1323', '789', '1323']], [['i456banana', 'orange']], [['orana45e6ge', 'apple', 'banaworldaana', 'banana', 'orange']], [['rPaper', 'Peaper', 'Hello', 'woorld', 'Paper']], [['rPaper', 'Peaper', 'Hello', 'woorld', 'Paper', 'rPaper']], [['pythoon', '1323', '789', 'pythoon']], [['python', 'is', 'pythonhello', 'a', 'pyothonhello', 'pythgreat789on', 'great', 'language', 'is']], [['orld', 'Hello', 'pythlaPapernguageon', 'world', 'worldaa']], [['1323', '789', 'pythonhello']], [['123', '456']], [['world', 'banana', 'orange']], [['pythoon', '1323', 'ppythonhelloythoon', '789', 'pythoon']], [['oran456ge', 'banana', 'orangeoran456ge']], [['python', 'laPapernguage', 'laPapernguage', 'language']], [['python', 'is', 'pythonhello', 'a', 'pyothonhello', 'pythgreat789on', 'great', 'language', 'is', 'language']], [['apple', 'i456banana', 'apple', 'i456banana']], [['sis', 'Python', 'is', 'a', 'programming', 'language']], [['sis', '1323', '789']], [['i456banana', 'ppythonhelloythoon', 'a', 'i456banana']], [['python', 'is'"}},"e59ac269bf08614b5c1b2897e669f82e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[]], [['a', 'b', 'c']]]\n    results = ['', 'abc']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(concatenate)\n\n\n\nprint('___SENTINEL___')\n","913959edd2e8e19630387a90a0432134"]
[{"$cut":{"chars":52356,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[], 'john'], [['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx'], [[], ''], [['abc', 'abcd', 'abcde'], 'abc'], [['xyz', 'efg', 'hij'], 'a'], [['cat', 'dog', 'bat'], 'elephant'], [['apple', 'banana', 'orange', 'apricot', 'kiwi'], 'ap'], [['a', 'ab', 'abc', 'ba', 'bb', 'bc'], 'a'], [['zzz', 'zzz', 'zzz'], 'z'], [['hello', 'world', 'house'], 'h'], [['apple', 'orange', 'banana'], 'b'], [['python', 'java', 'javascript', 'c++'], 'java'], [['hello', 'world', 'heworldlo', 'house'], 'h'], [['cat', 'dog'], 'apricot'], [['hello', 'world', 'heworldlo', 'house'], 'hh'], ['hah', 'hah'], [['world', 'heworldlo', 'house'], 'h'], [['apple', 'banana', 'orange', 'apricot', 'kiwi'], 'a'], ['apricot', 'apricot'], ['orange', 'apicapot'], ['aa', 'a'], ['aaa', 'heworldlo'], [['hello', 'world', 'house'], ''], ['kiwi', 'z'], [['hello', 'world'], ''], ['zz', 'z'], ['oapricot', 'apricot'], [['hello', 'world', 'house'], 'hh'], [['apple', 'orange', 'hello'], 'bananab'], ['aaaajavascript', 'aaaa'], ['', ''], ['apriccot', 'apricot'], [['xyz', 'efg', 'hij', 'hij'], 'aaaajavascript'], [['apple', 'orange', 'banana'], 'heworldlo'], ['', 'aa'], ['aaaajavascript', 'aaaajavascript'], ['zzbb', 'zz'], [['a', 'ab', 'abc', 'ba', 'bb', 'bc'], 'banana'], ['aboapricot', 'boapricot'], ['kiwwi', 'z'], ['aboapricot', 'aboapricot'], ['boaprictot', 'boapricot'], ['java', 'java'], [['apple', 'orange', 'baanana'], 'z'], ['zzbbb', 'zjavascriptz'], ['zzz', 'apicapoot'], ['oapricot', 'appricott'], [['world', 'hello', 'world', 'house'], ''], ['jaava', 'java'], [['world', 'hello', 'world'], ''], [['a', 'ab', 'abc', 'ba', 'bb', 'aa', 'bc'], 'banana'], [['hello', 'heworldlo', 'house'], 'h'], ['a', 'a'], [['python', 'java', 'javascript', 'c++'], 'javakiwwi'], [['world', 'house'], 'h'], ['hah', 'bc'], ['aboapricot', 'boaipricot'], ['jjava', 'java'], [['hello', 'worlwd', 'worldwd', 'world'], 'orange'], ['kiwi', 'kiwapriccotibanana'], ['jaava', 'jaava'], ['hahworldwd', 'hahworlhhdwd'], ['elephant', 'hhh'], [['boaprictotbb', 'a', 'ab', 'abc', 'ba', 'bb', 'aa', 'bc'], 'banana'], ['world', 'apric'], [['hello', 'world'], 'apriccot'], [['hello', 'bc', 'world'], ''], ['hhh', ''], [['hello', 'aworlwdbcdworld'], 'apriccot'], ['bkiwirt', 'boaiprt'], [['apple', 'orange', 'aboapricot', 'banana'], ''], ['world', 'java'], ['oapricoelepohantt', 'apricot'], ['b', 'b'], ['zzbb', 'jaava'], ['aboapricot', 'rboapricot'], [['hello', 'wdorld', 'house'], ''], ['hahoerange', 'bc'], ['bopaprictot', 'boaprictot'], ['harboapricothh', 'harboapricothh'], ['hhah', 'bc'], ['orange', 'apicaptot'], ['aboaprpythonicot', 'boaipricot'], ['world', 'wworlwdorld'], ['apriccot', ''], ['house', 'zjavascriptz'], ['zjavascriptz', 'house'], ['kiwapcriccotibanana', 'kiwapriccotibanana'], ['bananna', 'aboaprpythonicot'], ['hahlworldwd', 'hahlworldwd'], ['kiwapcriccotibanana', 'javva'], ['zzz', 'apicaopoot'], [['hello', 'world', 'heworldlo'], 'h'], ['aaa', 'aaaajavascript'], ['h', 'h'], ['apple', 'kiwapriccotibanana'], ['zzbbb', 'hhah'], ['aboapriczzbbbt', 'rboapricot'], ['boaipricot', 'boaipricot'], ['ap', 'aap'], [['amy', 'apple', 'pams', 'alligator', 'maple', 'mops'], 'a'], [['batman'], 'superman'], [['电影', '电子', '电话', '邮件'], '电'], [['qwerty', 'QwertY', 'qwertyuiop', 'QWERTYUIOP', 'asdfgh', 'ASDFGH', 'as fgh', 'ASD FGH'], 'qwe'], [['apple', 'application', 'airport', 'alligator', 'alphabet', 'ampoule', 'amazon', 'amorous', 'amaze', 'ampersand', 'amputee', 'ambulance', 'amiable', 'butter'"}},"fee88cbe84f4e0c11770988c5358be6e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[], 'a'], [['abc', 'bcd', 'cde', 'array'], 'a']]\n    results = [[], ['abc', 'array']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(filter_by_prefix)\n\n\n\nprint('___SENTINEL___')\n","07e7d023802bbdc76e8401d5e3a7e76d"]
[{"$cut":{"chars":59386,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[-1, -2, 4, 5, 6]], [[5, 3, -5, 2, 3, 3, 9, 0, 123, 1, -10]], [[-1, -2]], [[]], [[0, 1, -1, 2, -2, 3, -3, 4, -4]], [[1, -1, 2, -2, 3, -3, 4, -4, 0]], [[1, 2, 3, 4]], [[0, 0, 0]], [[-1, -2, -3, -4]], [[-5, -4, -1, 0, 1, 4, 5]], [[7, 8, 10, 11, 12, 15, 17, -1]], [[5, 9, -3, -6, 2, 3, 8, 1, 0]], [[-2, -4, -6, 0, 2, 4, 6]], [[10, -10, 15, -15, 20, -20, 25, -25]], [[10, -10, 15, -3, 20, -20, 25, -25]], [[-1, -1, -3, -4, -1]], [[1, 0, 0]], [[-2, -1, -1, -3, -4, -1]], [[-5, -4, -1, 0, 1, 4]], [[0, -1, 2, -2, 3, -3, 4, -4, -2]], [[-5, -4, -1, 0, 1, 4, 1]], [[0, 1, 1, 2, -2, 3, -3, 4, -4]], [[10, -10, 15, -3, 20, -20, 25, -25, -20]], [[5, 9, -3, -6, 2, 3, 8, 1, 1]], [[0, 0]], [[-5, -4, -1, 1, 4]], [[-5, 8, -1, 0, 1, 4]], [[1, 2, 4, 4]], [[-1, -3, -1]], [[-5, 0]], [[7, 8, 11, 12, 15, 17, -1]], [[10, 15, -3, 20, -20, 8, -25]], [[1, 17, 2, 2, 4, 4]], [[-5, -4, -1, 9, 0, 1, -10, 5]], [[0, -5, -4, -1, 5, 0, 4, 1]], [[-1, -3, -2, -1]], [[-1, -3, -2, -1, -1]], [[5, 9, -4, -6, 2, 8, 1, 1]], [[-1, -1, -3, -4, -2, -1]], [[0, -5, -4, -1, 5, 0, 4, 1, 4, 0]], [[-2, -1, -1, -3, -4, -1, -1]], [[-1, 8, -3, -15, -1, -1]], [[-2, -1, -1, -3, 10, -1]], [[10, -10, 15, -3, 20, -20, 25, -20]], [[5, 9, -6, 2, 3, 8, 0]], [[-2, -1, -1, -3, -4, -1, -3, -1]], [[0]], [[-5, -4, 0, 1, 4]], [[-5, 8, -1, 0, 4, -5]], [[7, 8, 11, 12, 15, 17, -1, 11]], [[-2, -1, -1, -3, 6, 9, -4, -1]], [[10, -10, 15, -3, 20, -20, 25, -20, -10]], [[1, -1, 2, -2, 3, 4, -4, 0]], [[10, -10, 3, -3, 20, -20, 25, -20, -10, 3]], [[-5, 8, -1, 0, 1, 4, -1]], [[-1, -1, -3, -4, -1, -1, -1, -1]], [[10, -10, 15, -3, 20, -20, 25, -20, -20, 15]], [[1, -1, 2, 3, 4, -4, 0]], [[1, -1, 2, 3, 4, -4, 0, 4]], [[5, 9, -3, -6, 2, 3, 10, 1]], [[1, -1, 2, -2, -3, 4, -4, 0]], [[-20, -5, -4, -1, 0, 1, 4]], [[5, -3, -6, 2, 3, 10, 1, 5]], [[10, 15, -3, 20, -20, 8, -25, 20]], [[1, -1, 2, -2, -3, 4, -4, 0, 1]], [[3, -3, 20, -20, 25, -20, -10, 5, 3]], [[10, -10, 15, -3, 20, -20, 25, -20, -5]], [[10, -10, 15, -3, 20, -20, 19, 25, -20, -5, 15]], [[10, -10, 10, 3, -3, 20, -20, 25, -20, -10, 3]], [[-2, -1, -1, -3, -1]], [[1, -1, 2, -2, -3, 4, -4, 0, 4]], [[10, 10, -10, 15, -15, 20, -20, 25, -25, 25]], [[-5, 8, 1, -1, 0, 1, 4, -1]], [[0, -5, -4, -1, 5, 0, -10, 1]], [[-1, -1, -1, -3, -4, -1, -1, -1, -1]], [[5, 9, -3, -6, 2, 3, 8, 1, -4, 2]], [[1, -1, 2, -2, -3, 4, -4, 0, 4, -3]], [[-3, 20, -20, 25, -20, -10, 5, 3]], [[1, -1, 2, -2, -3, 4, -4, 0, 0]], [[9, -2, -1, -1, -3, 6, 9, -4, -1]], [[-5, -4, -1, 0, 1, 5, 4, 5, 4]], [[-2, -1, -1, -3, -4, -2, -1]], [[1, -1, 1, -2, 3, -3, 4, -5, -4, 0]], [[-2, -1, -1, -3, -4]], [[-5, -4, -1, 1, 1, 4]], [[10, -10, 15, -3, 20, -20, 26, -20, -10]], [[1, -1, 2, 4, 4, -4, 0, 4]], [[-1, -3, -2, -1, 0, -1]], [[1, -1, 2, -2, -3, 4, -4, -1, 4]], [[0, -5, -4, -1, 5, 0, -10, 1, -10]], [[1, -1, 2, -2, -3, 4, -4, 0, 0, 0]], [[-5, -4, -1, 0, 1, 6, 1]], [[1, -1, 1, 3, -3, 4, -5, -4, 0]], [[-4, -4, -1, 0, 1, 5, 6, 1, 1, -1]], [[1, -1, 2, -2, -3, 4, -4, 0, -1]], [[5, 7, 8, 11, 12, 15, 17, -1]], [[-2, -1, -1, -4, -1]], [[5, 5, 9, -3, -6, 2, 3, 8, 1, 1]], [[1, -1, 3, 4, -4, 0, 4]], [[-4, -5, -4, -1, 0, 1, 4, 5]], [[-1, 8, -3, -15, -1]], [[-5, 8, -1, 0, 4]], [[5, 9, -3, -6, 2, 3]], [[0, -1, -2, -3, -4, -5]], [[1, 2, -4, -5, 0, 6, 7, -9, 10]], [[-1, -2, -3, -4, 5, 0, 6, 7, -9, 10]], [[-5, -4, -3, -2, -1]], [[1, 1, 1, 1, 1, 2, 2, 2, 2, 2]], [[-1]], [[0, -1]], [[0.5, 0, -4, 2.5, 5, -2.2, -8, 7.7, 9.9, -10.5]], [[0, -1.25, -1.5, -0.75, -2.25, -1, -2, -3, -4, -5, -6]], [[5]], ["}},"7d8bd0016ecf407cbdc6656c32073c09"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[-1, 2, -4, 5, 6]], [[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]]]\n    results = [[2, 5, 6], [5, 3, 2, 3, 9, 123, 1]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(get_positive)\n\n\n\nprint('___SENTINEL___')\n","1df0cfa09524e9cbac78d75a813f0cae"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[6], [101], [11], [13441], [61], [4], [1], [5], [17], [85], [77], [255379], [-5], [0], [2], [31], [40], [103], [199], [1009], [8999], [1234567], [9000], [32], [9001], [-1], [39], [1234566], [-4], [9002], [-6], [102], [200], [56], [38], [37], [1010], [1234568], [1008], [33], [35], [64], [63], [1234564], [34], [1011], [1234569], [197], [-3], [8998], [57], [28], [-2], [3], [1234563], [36], [9003], [30], [1234570], [-29], [9004], [-7], [16], [1012], [55], [-30], [-17], [7937], [34981], [42043], [-10], [10000000029], [123456789], [-9], [-18], [10000000028], [42042], [12], [123456790], [-16], [10000000030], [-15], [7939], [7938], [7936], [13], [7935], [23], [42044], [-11], [-14], [7934], [7933], [10000000027], [14], [34980], [24], [15], [42041], [-8], [7940], [70], [-13], [-40], [18], [-12], [-47], [-49], [34979], [42040], [34978], [-41], [-42], [22], [25], [10], [67], [-39], [26], [62], [-48], [66], [-20], [7941], [-50], [-37], [-21], [-28], [-101], [-255379], [-2147483648], [9999991], [7567216125], [34982], [34977], [123456788], [123456791], [-91], [93], [10000000031], [-90], [92], [34983], [-92], [-89], [-78], [82], [-76], [45], [10000000032], [42045], [44], [46], [-100], [19], [72], [91], [-38], [-75]]\n    results = [False, True, True, True, True, False, False, True, True, False, False, False, False, False, True, True, False, True, True, True, True, False, False, False, True, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, True, True, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, True, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_prime)\n\n\nprint('___SENTINEL___')\n","25a1d20bce88ec114606878b6bea784b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[6], [101], [11], [13441], [61], [4], [1]]\n    results = [False, True, True, True, True, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_prime)\n\n\n\nprint('___SENTINEL___')\n","019b475b5fd28be139605da1a2c062ce"]
[{"$cut":{"chars":55549,"head":"import math\n\ndef _poly(xs: list, x: float):\n    \"\"\"\n    Evaluates polynomial with coefficients xs at point x.\n    return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n    \"\"\"\n    return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\n\n\n\ndef check(candidate):\n    inputs = [[[-10, -2]], [[-3, -6, -7, 7]], [[8, 3]], [[-10, -8]], [[-3, 6, 9, -10]], [[10, 7, 3, -3]], [[8, -2, -10, -5, 3, 1, -2, -6]], [[1, -7, -8, 2]], [[1, 1]], [[-9, 4, 7, -7, 2, -8]], [[10, 9, 1, 8, -4, -8]], [[-3, -1]], [[-3, -7]], [[-2, 4, 10, 1, -5, 1, 1, -4]], [[10, -8, 9, 10, -5, 7]], [[-5, 4, 2, -2]], [[1, -9, -3, -9]], [[2, -2, -8, -4, 8, 1]], [[10, 5, 2, 10]], [[-6, -2, -6, -3, 7, 7, -2, 8]], [[8, 2, 1, -3, -6, 6, 5, -8]], [[-7, -6]], [[3, 9, -8, 2]], [[9, 4, 6, -2, 7, -10, -7, 7]], [[10, 1, -7, -1, 3, -5]], [[-10, -2, 6, -5, 6, -7, 10, -1]], [[-6, 1, -5, 7]], [[9, 1]], [[-10, -7, 1, -1, -3, -9, -3, 8]], [[-8, 5]], [[7, -6]], [[5, 7, -5, -2]], [[-4, 7, -4, -1, 2, 10, 1, 4]], [[-7, -3, -3, -8, 1, -10, 8, 7]], [[8, -3, -10, -8]], [[-3, -8]], [[1, -8]], [[-2, 5, -4, 7]], [[8, 8, 5, -3]], [[3, -4, -7, -7, 3, 1, 3, 3]], [[-9, 10, 10, -7, -9, 2, 1, -7]], [[-4, -4, 7, 4]], [[3, -5, -2, 4]], [[-8, 4, 7, -7]], [[10, 7]], [[-8, -3]], [[3, 5, 5, -4]], [[-9, -5, 2, -10, 2, -2, 4, -1]], [[7, 5, -6, -4, -1, -4, -9, 8]], [[1, -9]], [[8, 5]], [[-9, 6, -8, -5]], [[9, -8]], [[2, -7, 8, -3]], [[8, 8, 6, 1, -2, -4, 1, -3]], [[2, -6, 10, -1, 4, 1]], [[-10, 4]], [[-8, 7]], [[6, -2, -6, 1]], [[-3, 1]], [[-5, 4, 7, -1, 9, 10]], [[7, -1]], [[-6, -2]], [[-7, 7]], [[-2, -1, 9, -4]], [[-4, 10, -2, 6, 5, -2]], [[-8, 10]], [[-2, -9, -10, 1, -6, 10, -2, -5]], [[7, 3, 7, -10, -7, -8, -6, 7]], [[1, 8]], [[3, -6, -9, -1]], [[-9, 1, -4, -3, -7, 1]], [[9, -6, -3, -5, -5, 3, -10, -5]], [[3, -3, -2, -5, -7, 2]], [[5, -3]], [[4, 1, -1, -3]], [[-10, -4, 2, 1]], [[-8, -2, 1, 10, 6, 2]], [[-10, -7, -2, -5, 8, -2]], [[-7, 9]], [[1, 1, 3, 9, 6, -7, 2, 8]], [[-2, -9, 3, -10]], [[1, 3, -8, 1]], [[-7, -1, 6, -1, 3, 1]], [[-1, 7, -6, -4, 3, 2, -5, 9]], [[2, 7, -10, -1, -1, -4]], [[8, 9, 10, 1, 4, 4, 4, -4]], [[-5, -8, -1, 6, 10, 9, 1, -8]], [[-1, -3, -4, -6]], [[-9, -3]], [[9, -8, 4, 3, 10, 8, -4, 2]], [[2, -3, -6, 10, -10, -7, 3, -3]], [[6, 4, -9, 7]], [[-7, 4, -6, 4]], [[4, 9, 6, 3, 7, 4]], [[5, 4, -2, -3]], [[6, 5, 10, -3, -2, 4]], [[-1, -3]], [[1, 1, 7, -8, -6, -6]], [[5, 10, -3, 1]], [[1, -20, 156, -864, 2667, -4392, 3744, -1440]], [[0, 2]], [[-1, -1, 1, 1]], [[1, -1, 0, 1]], [[6, -1, 2, 1, -3, 1]], [[-1, 10, 1, 1]], [[-1, -36, 6, -1440, 1, 1]], [[3744, 1, 0, 2]], [[1, -20, 156, -864, 2667, -4391, 3743, -1440]], [[1, -20, 156, -864, 2667, -4391, 3743, -4, -1440, -4391]], [[0, -36, 0, 54, 7, 54]], [[-3, 2]], [[0, -36, 0, -3, 7, 54]], [[-20, 156, -864, 2667, -4391, 3743, -4, -1440, -1440, -4391]], [[6, 1, -1, 2, 1, -3, -4, 1]], [[6, 1, -1, 2, 1, -2, -4, 1]], [[0, 0, 6, -1]], [[0, -36, 0, -4, 7, 54]], [[2667, 6, 1, -1, -2, -4, 1, -1]], [[0, -1, -36, 6, -1440, 1, 1, -36]], [[6, -1, -4392, 2, 1, -3, 1, 1]], [[-36, -20, 6, -1440, 1, 1]], [[2, 5, -36, 1, 54, 7]], [[0, 2667, 0, 0]], [[0, -36, 0, 4, -4, 7, 54, 7]], [[-36, 6, 6, -1441]], [[0, -1, 0, 1]], [[2667, 6, 1, -1, 1, -1]], [[0, 6, -1440, 1, 1, -36]], [[-36, 6, -1440, -36]], [[-1, -36, 6, -1440, 1, 0]], [[6, 1, -1, 1, -3, -4, 1, 6]], [[-4392, -1, 6, -2]], [[2667, 6, 1, -1, -2, 1, -1, 2667]], [[6, -1, 2, 1, -3, 3744]], [[1, -1, 0, -1441]], [[-4, -1, 0, 1]], [[0, -1, 1, 1]], [[-4392, -20, 6, 4]], [[1, 2]], [[6, -1, -4392, 2, 1, 3743, 1, 1]], [[5, 10, 7, 10, -3, 1]], [[0, -20, 0, 0]], [[1, -20, 156, -864, 2667, -4392, 3743, -1440]], [[0, -1, -36, 6, -1440, 1, 1, -36, 0, 1]], [[-3, 6, -2, 6]], [[0, -4391, 0, 0]], [[-1, -36, 1, 0]], [[1, -1, 10, 1]], [[-3, 6, -2, 6, -2, -2]], [[6, -2, 2, 1, -3, 3744]], [[-1, -1, -3, -36, 1, 0]], [[-1, -4391, 0, 0]], [[6, -1, -4392, 2, 1, 1, 1, 6]], [[6, 2, 1, -3, 1, 2]], [[0, -36, 0, -4, -5, 7, 54, -36]], [[0, -36, 0, -3, -5, 7, 54, -36]], [[-36, -19, 6, -1440, 3743, 1]], [[5, 10, 1, 1]], [[1, -4391, 0, 0]], [[6, 2, 1, -3, 1, 1]], [[6, -36]], [[-1, -4391, -1440, 0, 0, -4391]], [[-1, 5, 1, 0]], [[1, -"}},"1da4701245cf7111377ad28b7ad6e548"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2]], [[-6, 11, -6, 1]]]\n    results = [-0.5, 1.0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(find_zero)\n\n\n\nprint('___SENTINEL___')\n","0945de5653b53c95879cdc6f02e13031"]
[{"$cut":{"chars":125897,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]], [[5, 8, -12, 4, 23, 2, 3, 11, 12, -10]], [[5, 6, 3, 4, 8, 9, 2]], [[5, 8, 3, 4, 6, 9, 2]], [[5, 6, 9, 4, 8, 3, 2]], [[5, 6, 3, 4, 8, 9, 2, 1]], [[9, 12, 15, 6, 3, 8, 10, 23, 7]], [[2, 1, 3, 7, 8, 9, 10]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]], [[9, 12, 15, 6, 3, 8, 13, 18, 7]], [[2, 10, 20, 15, 18, 13, 7]], [[5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60]], [[3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36]], [[11, 22, 33, 44, 55, 66, 77, 88, 99]], [[]], [[1]], [[2, 3, 7, 8, 9, 10, 9]], [[1, 1]], [[11, 22, 33, 44, 55, 66, 77, 88, 32, 99, 77]], [[11, 22, 33, 44, 55, 66, 77, 88, 88, 32, 99, 77, 77, 11]], [[54, 3, 7, 8, 9, 10, 9]], [[27, 1, 1]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 3]], [[3, 6, 9, 12, 15, 24, 27, 30, 33, 36]], [[11, 22, 33, 44, 55, 66, 77, 88, 32, 77]], [[2, 35, 1, 3, 7, 8, 9, 10]], [[46, 32, 77, 22, 18, 57, 88, 66, 54]], [[27, 1, 1, 27, 1]], [[54, 3, 7, 8, 9, 10]], [[2, 35, 1, 3, 7, 9, 10]], [[47, 32, 77, 22, 18, 57, 88, 66, 54]], [[9, 12, 15, 6, 3, 8, 13, 18]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 3]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 3, 15]], [[54, 3, 7, 8, 9, 35, 10, 9]], [[9, 12, 15, 6, 3, 8, 10, 23, 7, 23]], [[9, 12, 15, 6, 3, 8, 13, 18, 15]], [[1, 2, 3, 4, 5, 6, 7, 45, 9, 11, 12, 14, 15, 3, 13]], [[3, 6, 9, 12, 15, 25, 27, 30, 33, 36]], [[27, 1, 1, 1, 1, 27, 1]], [[27, 55, 1]], [[32, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 88, 11, 12, 13, 14, 15]], [[9, 12, 25, 27, 30, 33]], [[1, 2, 3, 4, 5, 6, 7, 45, 9, 12, 14, 15, 3, 13]], [[2, 4, 20, 15, 18, 13, 7]], [[1, 2, 3, 4, 5, 6, 7, 45, 9, 12, 14, 15, 21, 3, 13]], [[9, 12, 27, 30, 33]], [[3, 6, 9, 12, 15, 25, 27, 30, 33, 18, 36]], [[8, 55, 1, 1]], [[2, 27, 55, 1]], [[3, 6, 9, 12, 15, 24, 27, 30, 34, 36]], [[5, 10, 15, 20, 25, 35, 40, 47, 45, 50, 55, 60]], [[28, 1, 1, 27, 1]], [[3, 1, 2, 3, 4, 5, 6, 7, 45, 9, 12, 14, 15, 21, 3, 13]], [[0]], [[2, 1, 7, 8, 9, 10]], [[3, 1, 2, 3, 4, 5, 6, 7, 45, 10, 12, 14, 15, 21, 3, 13]], [[2, 1]], [[11, 22, 33, 44, 55, 66, 77, 88, 32, 77, 55]], [[3, 6, 20, 9, 12, 15, 25, 27, 30, 33, 18, 60, 36]], [[3, 18, 6, 9, 12, 15, 24, 27, 30, 27, 36]], [[27, 55, 0]], [[5, 10, 15, 20, 25, 30, 35, 40, 50, 55, 60]], [[46, 32, 77, 22, 18, 57, 77, 88, 66, 54]], [[1, 2, 3, 4, 5, 6, 7, 45, 9, 12, 14, 21, 3, 13]], [[46, 32, 77, 22, 18, 57, 57, 88, 66, 54]], [[46, 40, 32, 77, 22, 18, 77, 57, 88, 66, 54, 54, 66]], [[46, 32, 77, 22, 57, 23, 66, 54]], [[22, 33, 44, 55, 66, 77, 88, 99]], [[11, 22, 33, 44, 55, 66, 77, 88, 88, 32, 99, 77, 77, 11, 77, 66]], [[5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 40, 55, 60]], [[47, 28, 1, 1, 27, 1]], [[11, 22, 33, 44, 55, 77, 88, 32, 77, 55]], [[27, 1, 1, 27]], [[23, 9, 12, 15, 6, 3, 8, 54, 18]], [[9, 12, 25, 27, 30, 33, 25]], [[69, 18]], [[27, 1, 1, 1, 1, 4, 27, 1]], [[3, 26, 6, 20, 9, 12, 15, 25, 27, 30, 33, 18, 60, 36]], [[2, 2, 35, 1, 3, 7, 8, 9, 10]], [[46, 32, 77, 22, 18, 57, 77, 88, 66, 18, 54]], [[11, 22, 100, 33, 44, 55, 66, 77, 88, 88, 32, 99, 77, 77, 11]], [[5, 10, 20, 15, 20, 25, 35, 40, 47, 45, 50, 55, 60]], [[1, 2, 3, 6, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 57, 15]], [[9, 12, 15, 6, 21, 8, 13, 26, 18, 12, 13]], [[11, 22, 33, 44, 55, 77, 88, 99, 77]], [[27, 1, 1, 1, 4, 27, 1]], [[11, 33, 44, 55, 66, 77, 88, 32, 77, 11]], [[2, 3, 8, 8, 9, 10, 9]], [[9, 12, 15, 6, 21, 8, 40, 26, 18, 12, 13]], [[27, 1, 1, 1, 1, 11, 4, 27, 1]], [[33]], [[11, 23, 33, 44, 55, 77, 88, 99, 77]], [[4"}},"1bc9a9a1ed975c1416b7766a1b75074c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[5, 6, 3, 4, 8, 9, 2]]]\n    results = [[1, 2, 3], [2, 6, 3, 4, 8, 9, 5]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sort_third)\n\n\n\nprint('___SENTINEL___')\n","5ee554c92bbaed5470111b3b6741347b"]
[{"$cut":{"chars":143029,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[5, 3, 5, 2, 3, 3, 9, 0, 123]], [[1, 1, 1, 1]], [[2, 1, 2, 1]], [[0, 0, 0, 0]], [[-1, 5, -1, 3, 5, 2, 5]], [['a', 'b', 'b', 'c', 'd', 'd']], [[1.1, 2.2, 3.3, 4.4, 4.4]], [[True, False, False, True]], [[]], [[2, 2, 2, 2, 2, 2]], [['apple', 'banana', 'orange']], [[True]], [[2, 1, 2, 1, 1, 1]], [['apple', 'banana', 'd', 'orange']], [['apple', 'banana', 'lQd', 'orange']], [['apple', 'banana', 'olQdrange']], [[False, True, False, False, True, False]], [['apple', 'd', 'orange']], [[2, 1, 1, 1]], [[False, False, False, True, True]], [[2, 2, 5, 2, 2, 2]], [[1, 1, 1]], [[2, 1, 1, 1, 1]], [[3.0219968583931567, 1.1, 2.2, 4.4, 4.4]], [[2, 2, 5, 2, 2, 2, 2, 2]], [[2, 1, 2, 1, 1, 3, 1]], [[-1, 1]], [[1.1, 2.2, 3.3, 4.4, 4.4, 2.2]], [[1.1, 3.187467502157803, 3.3, 4.4, 4.4]], [[1, 2, 1, 1]], [[1.1, 2.2, 3.3, 4.4, 4.4, 2.2, 1.1]], [[2, 1, 2, 1, 1, 1, 1]], [[1.1, 2.2, 3.3, 4.4, 4.4, 4.4]], [['apple', 'd', 'orange', 'd']], [[2, 1, 2, 1, 1, 1, 2, 1]], [['apple', 'banana', 'lQd', 'oralQdnge']], [['apple', 'banana', 'lQd', 'llQd', 'orange']], [[2, 1, 1, 1, 2, 1]], [[True, False, False, True, False]], [[3.0219968583931567, 1.1, 2.2, 2.2, 4.4, 4.4, 3.0219968583931567, 2.2]], [['alQd', 'dapple', 'banana', 'oralQdnge']], [[True, True, False, False, True, True]], [[2, 1, 1, 2, 1, 1]], [[3, 1, 1, 1]], [['apple', 'banana', 'orange', 'banana']], [[1, 1, 1, 2, 1, 1]], [[True, False, True, True, True]], [[3.0219968583931567, 1.1, 2.2, 4.4]], [[2, 1, 1, 1, 1, 2, 1]], [[3.4145447979043606, 1.5142493540603779, 1.1, 2.2, 2.2, 4.4, 4.4, 3.0219968583931567, 2.2]], [[2, 1, 1]], [[2, 1, 1, 1, 0, 2, 1, 1]], [['alQd', 'dapple', 'banana', 'aQd', 'oralQdnge']], [[2, 1, 1, 1, 1, 1]], [['a', 'b', 'b', 'c', 'dd', 'd']], [[3.0219968583931567, 1.1, 4.4, 4.4, 1.1]], [['apple', 'nbanana', 'lQd', 'oralQdnge']], [['a', 'banana', 'b', 'b', 'c', 'dd', 'd']], [['apple', 'banana', 'lQd', 'oralQdnge', 'oralQdnge']], [[False, True, False, False, True, True]], [['apple', 'banana', 'orangce', 'banana']], [[2, 1, 1, 2, 1, 1, 1]], [['orappleange', 'apple', 'banana', 'lQd', 'llQd', 'orange', 'banana', 'banana']], [[1.1, 2.2, 1.5142493540603779, 4.4, 2.2, 1.1]], [[1.1, 2.2, 3.3, 4.4, 4.4, 1.1]], [['adapplelQd', 'dapple', 'dapple', 'banana', 'aQd', 'oralQdnge']], [[-1, 1, 2, 1, 1]], [[1, 0, 1, 1]], [[False, False, True, True]], [[3, 1, 2, 1, 1, 3, 2]], [[False, False, True, False, False, True, True]], [['banana', 'olQdrange']], [['apple', 'banana', 'banaorangcena', 'd', 'orange']], [[1.1, 2.2, 4.4, 4.4, 4.4]], [[2, -1, 5, 2, 2, 2, 2]], [[3, 1, 1]], [['orappleange', 'apple', 'banana', 'lQd', 'llQd', 'orange', 'banaorangcena', 'banana', 'banana']], [['apple', 'orange']], [[3.0219968583931567, 1.1, 2.2, 4.4, 4.4, 3.0219968583931567, 2.2]], [['apple', 'd', 'orange', 'appple', 'd']], [[2, 1, 2, 1, 1]], [[True, True, False, True, True, True, True]], [[2, 5, 2, 2, 2]], [[2, 2, 2, 2, 2]], [['orappleange', 'apple', 'banana', 'lQd', 'llQd', 'orange', 'banana']], [[0, 1, 1]], [[False, False, True, False, False, True, True, True, True]], [['adapplelQd', 'dapple', 'davcvAoc', 'banana', 'aQd', 'oralQdnge']], [[-2, -5, 5, 0, -84, 2, -19]], [[2, 1, 2, 1, 1, -19, 1, 2, 1]], [['apple', 'banana', 'alpple', 'lQd', 'oralQdngee']], [['banana', 'orangce', 'banana', 'banana', 'banana']], [['apple', 'orange', 'orange']], [['apple', 'banana', 'banaorangcena', 'd']], [[1, 2, 2, 3, 4, 4, 4, 5, 6, 7]], [[1.2, 3, 2.1, 5, 3, 5, 2, 3, 3, 9, 0, 123, -1]], [[1, 2, 2, 3, 4, 4, 4, 5, 6, 7"}},"025c29e172d9633da5b60b4623120b51"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[5, 3, 5, 2, 3, 3, 9, 0, 123]]]\n    results = [[0, 2, 3, 5, 9, 123]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(unique)\n\n\n\nprint('___SENTINEL___')\n","1b3c9fe666a2484331774ecdfbd46935"]
[{"$cut":{"chars":89381,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[5, 3, -5, 2, -3, 3, 9, 0, 124, 1, -10]], [[0, 0, 0, 0]], [[-1, -2, -3, -4, -5]], [[1, 2, 9, 4, 5, 6, 7]], [[8, 7, 6, 5, 4, 3]], [[100]], [[100, 100, 99, 98, 97, 96]], [[1.5, 3, 2, -4, -3.5, 0, 2.5]], [[1, 1, 1, 1]], [[2, 2, 2, 1, 2, 2]], [[50, 49, 48, 47, 46]], [[50, 49, 100, 48, 47, 46]], [[101]], [[-5, 2, 9, 4, 5, 6, 7]], [[50, 49, 49, 47, 47]], [[50, 49, 49, 47, 47, 49]], [[3, 1, 2, 9, 4, 5, 6, 7, 5]], [[50, -2, 49, 49, 47, 47, 49, 47]], [[50, 49, 49, 47, 49]], [[100, 100]], [[99]], [[-1, -2, -3, -4, 0]], [[50, 49, 49, 100, 47, 46]], [[0, 50, 49, 49, 47]], [[8, 6, 6, 4, 6, 3]], [[101, 100, 100, 100]], [[49, 49, 47, 47, 49]], [[-5, 2, 9, 5, 6, 7, 2]], [[-1, -2, -3, -4, 100, -3]], [[1, 2, 9, 5, 5, 6, 7, 7]], [[49, 49, 47, 47, 47, 49]], [[-5, 2, 48, 9, 4, 5, 6, 7]], [[3, 1, 2, 9, 4, 5, 6, 7, 5, 5]], [[-5, 47, 9, 4, 5, 6, 7]], [[-1, -2, -3, -4, 0, -2]], [[-5, 2, 48, 9, 4, 0, 6, 7]], [[-5, 2, 48, 9, 8, 6, 6, 7]], [[1, 2, 9, 4, 5, 6, -1, -1]], [[1.5, 3, 2, -4, -3.5, 0]], [[8, 6, 6, 4, 47, 3]], [[49, 47, 46, 5, 47, 49]], [[50, 49, 49, 100, 47, 46, 47]], [[1.5, 3, 2, -3.5, 0]], [[1.5, 3, -4, 2, -3.5, -1, 2]], [[50, 49, 49, 100, 100, 46]], [[2.218145004627112, 3, -4, 2, -3.5, -1, 2]], [[50, 49, 49, 100, 100, 46, 50, 49]], [[8, 6, 6, 4, 3, 98, 8]], [[3, 2, -3.5, 0]], [[1.5, 3, -4, 2, -3.5, -1, 2, -4]], [[101, 100, 100]], [[2, 2, 3, 2, 47, 2, 2]], [[-1, 5, -3, -4, 0]], [[-2, -3, 0]], [[3, 6, -3.5, 0]], [[9, 49, 49, 100, 100, 46]], [[101, 100, 100, 100, 100]], [[-5, 2, 9, 5, 6, 0, 7, 2]], [[-5, 99, 2, 48, 9, 4, 6, 7, 2]], [[2, 48, 9, 8, 6, 7]], [[8, 6, 6, 4, 3, 98, 3, 8]], [[9, 8, 6, 6, 4, 3, 98, 8]], [[-1, -2, -4, -5]], [[-3, 5, -3, -4, 0, 5]], [[8, 6, 6, 6, 47, 46, 3]], [[9, 49, 49, 100, 46]], [[49, 49, 47, 47, 47, 47, 49]], [[1, 2, 9, 4, 5, 6, 7, 4]], [[2, 47, 2, 3, 2, 47, 3, 2, 2]], [[50, 49, 49, 47]], [[49, 49, 47, 5, 47, 49, 47]], [[3, 1, 2, 9, 4, 5, 6, 7, 5, 5, 5, 6]], [[-5, 9, 4, 5, 6, 7, 9]], [[100, 100, 99, 98, 97]], [[-5, 9, 4, 5, 7, 9]], [[50, 49, 49, 100, 47]], [[8, 6, 6, 4, 6, 3, 6, 8]], [[50, 49, 48, 47, 47]], [[-1, -4, -5]], [[9, 8, 98, 6, 4, 3, 98, 8, 3]], [[1, 2, 9, 5, 5, 6, 7, 7, 5]], [[50, 49, 48, 100, 48, 47, 46]], [[-5, 47, 9, 4, 5, 6, 48, 7]], [[97, 100, 100, 100, 100]], [[2, 48, 9, 8, 6, 7, 9]], [[8, 6, 6, 4, 3, 99, 3, 8]], [[8, 6, 6, 4, 47, 3, 6]], [[-5, 99, 2, 48, 9, 4, 6, 2, 7]], [[100, 100, 99, 99, 97, 100, 99, 97]], [[-5, 99, 2, 48, 9, 4, 6, 2, 7, 6]], [[50, 49, 49, 47, 50]], [[49, 49, 47, 47, 49, 47]], [[8, 6, 6, 4, 3, 99, 3, -4, 8]], [[50, 49, 49, 99, 47]], [[50, 49, 49, 100, 47, 49, 46, 47, 49]], [[49, 49, 49, 47, 47, 47]], [[49, 100]], [[1.2, -4.5, -3.4, 5.6, 7.8, -9.0, 10.1]], [[1000000, 999999, 999998, 999997, 999996, 999995, 999994, 999993, 999992, 999991, 999990, 999989, 999988, 999987, 999986, 999985, 999984, 999983, 999982, 999981, 999980, 999979, 999978, 999977, 999976, 999975, 999974, 999973, 999972, 999971, 999970]], [[-1, -5, -10, -15, -20, -25, -30, -35, -40, -45, -50, -55, -60, -65, -70, -75, -80, -85, -90, -95, -100, -105, -110, -115, -120, -125, -130, -135, -140, -145, -150]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]], [[1, 3, 3, 5, 6, 6, 6, 8, 8, 9, 9, 9, 9, 10, 10, 10, 12, 12, 13, 13, 13, 13, 13, 14, 14, 15, 15, 15, 17, 17, 18, 19, 20]], [[1.2, -4.5, -3.4, 5.6, 7.8, -9.0, 10.1, -12.3, 15.4, 20.5, -25.6, 30.7, -35.8, 40.9, -46.0, 51.1, 57.2, -63.3, 69.4, -75.5, 81.6, -87.7, 93.8, 99.9]], [[-5, -5, -5, -5,"}},"468e4a6ca573a2017aa63e0c33a2e20d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]]]\n    results = [3, 123]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(max_element)\n\n\n\nprint('___SENTINEL___')\n","58d723707e1dd78a0240faf941938705"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[50], [78], [79], [100], [200], [4000], [10000], [100000], [1], [10], [20], [30], [70], [71], [72], [73], [74], [75], [31], [69], [9], [77], [76], [8], [2], [21], [68], [22], [29], [23], [32], [3], [11], [33], [19], [86], [7], [12], [4], [28], [6], [60], [85], [5], [80], [61], [59], [62], [63], [84], [18], [27], [81], [64], [26], [83], [82], [13], [66], [24], [34], [43], [42], [14], [65], [67], [94], [25], [51], [17], [52], [41], [40], [16], [58], [15], [555555], [303], [12345], [2000], [9999], [123456], [304], [9998], [12344], [302], [12346], [12347], [12348], [12343], [123455], [123454], [555554], [123453], [10001], [301], [123457], [12341], [1999], [12342], [123452], [555556], [9997], [92], [90], [91], [123451], [93], [12350], [555552], [12351], [555551], [123458], [9996], [12352], [555550], [555557], [12340], [10002], [555553], [555558], [44], [12349], [555549], [45], [123459], [12339], [305], [49], [300], [555559], [555560], [123460], [95], [1000], [2001], [2002], [2004], [1998], [2003], [53], [54], [2005], [555561], [1997], [55], [48], [555562], [1996], [47], [306], [307]]\n    results = [0, 2, 3, 3, 6, 192, 639, 8026, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 3, 0, 0, 3, 0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43688, 10, 747, 95, 639, 9487, 10, 639, 747, 10, 747, 747, 747, 747, 9487, 9487, 43688, 9487, 639, 10, 9487, 747, 95, 747, 9487, 43688, 638, 3, 3, 3, 9487, 3, 747, 43688, 747, 43688, 9487, 638, 747, 43688, 43688, 747, 639, 43688, 43688, 0, 747, 43688, 0, 9487, 747, 10, 0, 10, 43688, 43688, 9487, 3, 47, 95, 95, 95, 95, 95, 0, 0, 95, 43688, 95, 0, 0, 43688, 95, 0, 10, 10]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fizz_buzz)\n\n\nprint('___SENTINEL___')\n","0aa2d29d3dd6bde664025165efcc2c5e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[50], [78], [79]]\n    results = [0, 2, 3]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fizz_buzz)\n\n\n\nprint('___SENTINEL___')\n","4241f2e80e87caa866d585969898cb97"]
[{"$cut":{"chars":72074,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]], [[5, 8, -12, 4, 23, 2, 3, 11, 12, -10]], [[2, 6, 4, 8, 10]], [[1, 0, 3, 6, 5]], [[3, 3, 2, 2, 1, 1]], [[11, 7, 6, 9, 14, -1]], [[]], [[3]], [[5, 9, 3, 8, -1, 12, -14, 7]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]], [[8, 7, 6, 5, 4, 3, 2, 1]], [[0, 0, 0, -1, -1, -1, 2, 2, 2]], [[1, 0, 3, 4, 6, 5]], [[4, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]], [[3, 3, 2, 2, 1, 11, 1]], [[29.192135197854643, 33.66238184288656, 29.291147603502964]], [[3, 2, 5, 2, 2, 1, 1]], [[3, 3, 2, 2, 1, 11, 1, 3]], [[3, 4, 10, 2, 2, 1]], [[1, 3, 4, 6, 5, 4]], [[3, 3, 2, 2, 1, 1, 3]], [[3, 3, 2, 2, 2, 11, 1, 3]], [[4, 1, 3, 4, 5, 6, 3, 7, 8, 9, 10, 11, 12]], [[1, 1, 3, 6, 5]], [[1, 0, 3, 4, 6, -1, 10, 0]], [[4, 1, 3, 4, 5, 6, 3, 7, 8, 5, 9, 10, 11, 12]], [[3, 4, 10, -14, 2, 4, 2, 1]], [[3, 2, 5, 2, 14, 1, 1]], [[-1, 1, 3, 6, 5]], [[3, 3, 2, 0, 2, 1, 1]], [[-1, 1, 3, 5]], [[3, 3, 2, 8, 2, 2, 11, 1, 3, 0, 11]], [[1, 3, 4, 5, 6, 7, 10, 8, 9, 10, 11, 12]], [[0, 3, 4, 6, -1, 10, 0]], [[0, 4, 4, 6, -1, 10, 0, 10]], [[2, 1, 0, 3, 4, 6, 5]], [[3, 2, 5, 14, 1, 1]], [[3, 1, 3, 2, 2, 1]], [[1, 3, 2, 2, 1, 1]], [[4, 3, 2, 5, 2, 2, 1, 1]], [[3, 3, 2, 2, 1, 11, 1, 3, 2]], [[3, 14, 2, 5, 14, 1, 1]], [[3, 3, 2, 2, 1, 11, 1, 3, 2, 3]], [[1, 0, 3, 6]], [[3, 3, 2, 2, 1, -1, 1, 3, 2]], [[4, 0, 3, 4, 5, 6, 7, 8, 5, 9, 10, 11, 12]], [[2, 3, 4, 10, -14, 2, 4, 2, 1]], [[3, 3, 2, 2, 0, 11, 1, 3, 1]], [[3, 3, 2, 2, 1, 11, 1, 11]], [[1, 0, 3, 5]], [[1, 4, 0, 3]], [[0, 0, 0, -1, -1, -1, 2, 2, 2, 2]], [[3, 2, 5, 2, 2, 1, 1, 3, 1]], [[3, 1, 3, 2, 2, 1, 3]], [[0, 4, 4, 6, 0, 10, 0, 10, 10]], [[1, 4, 0, -1, 3, 3]], [[3, -14, 10, -14, 2, 4, 2, 1]], [[3, 4, 10, -14, 2, 4, 2, 1, -14]], [[3, 3, 2, 8, 2, 2, 11, 0, 1, 3, 0, 11]], [[2, 5]], [[2, 6, 4, 8, 11]], [[1, 0, 14, 3]], [[3, 2, 4, 2, 14, 0, 1]], [[4, 1, 3, 4, 5, 6, 2, 7, 8, 5, 9, 10, 11]], [[3, 2, 2, 1, 1]], [[4, 3, 2, 5, 2, 2, 1, 1, 1]], [[0, 3, 4, 6, -1, 10, 0, 0]], [[1, 0, 3, 4, 6, -1, -14, 0]], [[4, 1, 3, 4, 5, 6, 3, 7, 8, 9, -1, 11, 12, 12]], [[3, 2, 2, 1, 1, 1]], [[2, 3, 4, 10, -14, 2, 4, 2, 1, 10]], [[8, 7, 6, 5, 4, 3, 2, 1, 2]], [[1, 0, 3, 6, 5, 0, 1]], [[4, 1, 3, 4, 4, 5, 5, 6, 3, 7, 8, 9, -1, 11, 12, 12, 1]], [[2, 1, 0, 3, 4, 4, 6, 5]], [[0, 3, 4, 6, -1, 10, 0, 0, 10]], [[3, 4, 2, 2, 1, 2]], [[1, 1, 3, 5]], [[33.66238184288656, 29.291147603502964]], [[4, 1, 1, 3, 4, 5, 6, 3, 7, 8, 5, 9, 10, 11, 10]], [[1, 0, 3, 4, 6, -1, -14, 0, 0]], [[4, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1]], [[3, 2, 10, -14, 2, 4, 2, 1, 10]], [[3, 3, 2, 5, 0, 2, 1, 1]], [[3, 3, 2, 2, 1, 14, 1, 3, 2, 2, 3]], [[3, 3, 2, 0, 2, 1, 11, 1, 4, 3, 2]], [[1, 3, 4, 5, 6, 3, 7, 8, 9, -1, 11, 12]], [[3, 3, 2, 2, 1, 11, 1, 3, 11]], [[33.66238184288656, 29.291147603502964, 29.291147603502964]], [[0, 5, 5]], [[0, 3, 4, 6, -1, 10, 0, 5]], [[0, 0, 0, -1, -1, 2, 2, 0]], [[2, 3, 4, -14, 2, 4, 2, 1, 10]], [[0, 0, 0, -1, -1, -1, 2, 2, 2, -1]], [[3, 0, 3, -14, -14, 2, 4, 2, 0]], [[3, 3, 2, 2, 1, 11, 1, 3, 2, 0]], [[2, 4, 10, -14, -14, 2, 4, 2, 1]], [[40.82822270856693, 33.66238184288656, 29.291147603502964, 29.291147603502964]], [[3, 3, 2, 5, 0, 2, 1, 1, 1]], [[1, 1, 2, 3, 5]], [[3, 1, 2, 2, -14, 1]], [[1, 3, 4, 5, 6, 3, 7, 8, 14, 9, -1, 11, 12]], [[5, -2, -12, 4, 23, 2, 3, 11, 12, -10]], [[5, 3, -5, 2, -3, 3, -9, 0, 123, 1, -10]], [[1, 2, 3, 4, 5, 6, 7, 8]], [[1, 1, 1, 1, 2, 2, 2, 2]], [[5, 0, 5, 0, 5, 0, 5, 0]], [[1, 1, 1, 1, 1, 1, 1, 1]], [[2, 2, 2, 2]], [[3, 3, 3, 3, 3]], [[3, 1, 4, 1, 5, "}},"59271b4befd66f18ccf5db26c02b04f9"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[5, 6, 3, 4]]]\n    results = [[1, 2, 3], [3, 6, 5, 4]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sort_even)\n\n\n\nprint('___SENTINEL___')\n","63a0f8ede8c6b59b497f46d13c1c1f46"]
[{"$cut":{"chars":261282,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['uzfplzjfzcltmdly'], ['nzyegaghrzqwrdzxckn'], ['zxolecqvzyausohgzdod'], ['cjhzuelsabstpbq'], ['lfgmjpqnvzwvbusr'], ['cvxcvhmtgbeweum'], ['jgjvebqagrtwheytsyff'], ['swbkfgqnvuahcnqgpcu'], ['ssjgajmprs'], ['enrrdusnffcnkotf'], ['cpfgdusjrzf'], ['gconqokfgb'], ['effmnsvrgsdbhffn'], ['zwsrgynxlmh'], ['nqdjadvhlu'], ['fpkocdqllglypkj'], ['aosjbowaac'], ['fvdumeezuebnlkqnvwfc'], ['tzfoanbvufs'], ['mnzbtfatwfxpqstecjm'], ['nkxxaitehrj'], ['nwxwbyaavoevbjbig'], ['gmamklorekv'], ['rihdqvrbxaycb'], ['gwvexchafqe'], ['pymjpgzjnva'], ['aobgbpwjritkq'], ['nuccsadagbriq'], ['gdktamtzhdmj'], ['dcprihgimgnjx'], ['kljtwssfqty'], ['frbqiejenuvxwoy'], ['tjfuyuhxly'], ['fimmmlfohx'], ['xwtgrxfyytcyyjdjoni'], ['bzekhcvbldsd'], ['ghzgwvsorsye'], ['xkaxuitdibnplwpucw'], ['qcszxfbaocdzseekb'], ['ueaztzzgmex'], ['jsjyrkasqpujtnvrbmtr'], ['fyiurdclyxoalovncksg'], ['erxobpjrpkxbsgobas'], ['lizudkhwdzwjzziyex'], ['vpuzbwgjyicrh'], ['sajlxmochmknulkxecik'], ['klzoujwdjfwqzk'], ['kiccixaihigbhftw'], ['hyrkynsmkvndymdepsu'], ['dplbtwiqweagdz'], ['kjrblffzlakwpz'], ['hzdeezpqcoxwcwsyyl'], ['wcxtvtdgeymblafldwgq'], ['ujgibazfslkfyfu'], ['oqrngzmyfxddlwpbv'], ['vtmdwyiilv'], ['vghazccwxyibefx'], ['jzyhtisowtzheniomrvr'], ['eksylebplf'], ['jxevtanxqvhwb'], ['joqwqljwckpb'], ['dkghzktgig'], ['ajbtmlaqsegfktujz'], ['xeggrighqjvgjpt'], ['fgkpcfreaypwkstc'], ['ucfyampthmhoh'], ['pcyzbxlzmud'], ['hualgpgmtpv'], ['dofgkmknkdhimryg'], ['btvvhktzpvkuekialfq'], ['hbvgnvmuxckcqjvx'], ['qhwrawfsmuevokszgfqy'], ['uakqzvnihhfcwz'], ['rlnvwwhoxlwkyibhnjg'], ['cmprarjwtqovlcizhgpu'], ['rbfrlfpxzfm'], ['lutbkxocedmbfctzmuy'], ['oajodvoerl'], ['bvmxponldendphf'], ['jdliznkftyvzwdqty'], ['hkbaihpjquf'], ['hhneeogusm'], ['qvnehikoshpzahmfkep'], ['urrclsjxeosc'], ['ghfmyzjawzulrop'], ['ycqtsqaatceckf'], ['ipybztxdkypoxjuhf'], ['ozjthdoukvrqjb'], ['ipfbolvlrwwtznrdbta'], ['xzhjnclgnihoinfs'], ['pfkwcebjnkoudgosogtj'], ['aqbojzzuehqwirlx'], ['mulyzumnbuzr'], ['nzdtnhuxogdzdguy'], ['juvowhyjstne'], ['ybzdvuvvwyeyxepv'], ['dyunpcsjbdozu'], ['hfbhubqoykkyrwjx'], ['bkkjxpyfzrtcqpqna'], ['hpncxsmjpus'], ['abcdefghijk'], ['abcdefghijklmnopqrstuvwxyz'], ['1234567890'], ['The quick brown fox jumps over the lazy dog.'], ['Testing 123, testing 123.'], ['abc'], ['ab'], ['a'], [''], ['foo bar'], ['5670'], ['Testing 123, testi3ng 123.'], ['aaTesting 123, testi3ng 123.b'], ['Testing5670 123, testingabc 123.'], ['DQVw'], ['bc'], ['aTesting 123, testi3ng 123.ab'], ['Testing567The quick brown fox jumps over the lazy dog.0 123,Testing 123, testing 123. testingabc 123.'], ['Testing567The quick Testing567The quick brown fox jumps over the lazy dog.0 123,Testing 123, testing 123. testingabc 123.brown fox jumps over the lazy dog.0 123,Testing 123, testing 123. testingabc 123.'], ['Testing 123, testi3ng 123..'], ['aTesting 123, tTesting 123, testi3ng 123..esti3ng 123.ab'], ['Testing567The quick Testing567The quick brown fox jumps over the lazy dog.0 123abcdefghijklmnopqrstuvwxyz,Testing 123, testing 123. testingabc 123.brown fox jumps over the lazy dog.0 123,Testing 123, testing 123. testingabc 123.'], ['aTesteing 123, tTesting 123, testi3ng 123..esti3ng 123.ab'], ['Testing 123, tessting 123.'], ['Testing 123, testi3ng 12a3..'], ['Testing 123t, testi3ng 123..'], ['Testing 123, tsessting 123.'], ['Tabcdefghijklmnopqrstuvwxyzesting 123t, testi3ng 123..'], ['aabc'], ['aaTesbting 123, testi3ng 123.b'], ['Testing567The quick brown fox jumps over the lazy dog.0 123,Testing"}},"a503589c71125c84960831b6c2be928f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = []\n    results = []\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(decode_cyclic)\n\n\n\nprint('___SENTINEL___')\n","e462e143909d0ce202cc17e17b189332"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]]\n    results = [2, 3, 5, 13, 89, 233, 1597, 28657, 514229, 433494437, 2971215073, 99194853094755497]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(prime_fib)\n\n\nprint('___SENTINEL___')\n","8527ea281772360eeee058c9949ec64e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1], [2], [3], [4], [5]]\n    results = [2, 3, 5, 13, 89]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(prime_fib)\n\n\n\nprint('___SENTINEL___')\n","385b2f19d757e5615481f7c9d9451517"]
[{"$cut":{"chars":61137,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 3, 5, 0]], [[1, 3, 5, -1]], [[1, 3, -2, 1]], [[1, 2, 3, 7]], [[1, 2, 5, 7]], [[2, 4, -5, 3, 9, 7]], [[1]], [[1, 3, 5, -100]], [[100, 3, 5, -100]], [[0, 0, 0]], [[1, 1, -2, -2]], [[2, 3, -5, 0, 1, -1]], [[5, -5, 10, 0, -10]], [[1, 2, -3, -4, 5, 6]], [[1, 1, 1, -2, -2, -2]], [[1, 2, 3, -6, 7, 0, -1]], [[1, -1, 0, 0, 2, -2]], [[10, -20, 30, -40, 50, -60]], [[1, 2, 3, 4, 5, -9]], [[0, 1, 0, 0]], [[1, 2, 3, -6, 7, -1]], [[-2, -2]], [[5, -5, -60, 0, -10]], [[-2, -1]], [[2, 3, -5, 0, 4, 1, -1]], [[1, -2, -4]], [[-2]], [[10, -20, 30, -40, 50, 30, -60]], [[1, 3, -5, 1, -1, 2]], [[1, 2, 3, -6, 7, 0, -6, -1]], [[1, -2, -2, 1]], [[2, 3, -10, -5, 0, 4, 1, -1]], [[-1, -2, 1]], [[1, 2, 3, 4, 5, 2, 4]], [[1, 1, 2, 3, 4, 5, -9, 1]], [[1, 1, 2, 3, 4, 5, -9, 1, 1]], [[1, 2, 3, 7, -1]], [[1, 2, 3, -6, 7, 0, -1, 2]], [[1, 2, 3, 4, 5, 4]], [[5]], [[2, 3, 7, 1]], [[1, 1, 2, 3, 4, 5, -9, 1, 1, 1]], [[1, 2, 3, -6, 4, 7, 0, -1, 2]], [[1, 2, 4, 5, -9, 3]], [[2, 3, -10, -5, 1, 4, 1, -1]], [[7, -2, -4]], [[-2, -10, 0, -2]], [[5, 5, 5]], [[1, 1, 3, 4, 5, -9, 1, 1]], [[1, 1, -2, 0, -2]], [[10, -20, 30, -20, 6, -40, 50, -60, -60, 10]], [[-2, 30, 0, -2]], [[1, 2, 3, -6, 7, 0, -6, -1, 7]], [[1, 2, 3, -6, 7, 0, -6, -1, 7, 1]], [[1, 1, 2, 3, 4, 4, -9, 1]], [[2, 3, -10, -5, 1, 4, 1, -1, 3]], [[1, 2, 3, 4, 5, 2, 4, 5, 5]], [[1, 1, -1, 1, -2]], [[1, 2, 3, -6, 7, 0, 6, -1, 2]], [[10, -20, 30, -20, 6, -40, 50, -60, 10, -40]], [[1, 1, -2, -3]], [[1, 2, 3, 4, -9, 4, 2]], [[1, 1, 1, -2, -2, -2, 1]], [[1, 2, 3, -6, 7, 0, -6, -1, 7, 1, -1, -6]], [[-2, 1, 2, 3, 4, 5, -9, 1]], [[1, 2, 3, -6, 0, -1]], [[-1, -2, 1, 1]], [[1, 2, -3, -4, 6, 6]], [[2, 3, 7, 7, 1]], [[10, -20, 30, -40, 50, -60, 30]], [[1, 2, 3, -6, 7, 0, -1, 2, 1]], [[2, 3, -6, 0, 0]], [[1, 2, -3, 2, 6, 6]], [[1, 2, 3, 7, -1, 3]], [[1, 1, -3]], [[10, -20, 30, -40, 50, 30, -60, 30]], [[1, 2, 3, -6, 7, 0, -6, 2, -1, 7, 1, -1, -6]], [[2, 3, -5, 0, 4, 0, 1, 2, -1]], [[1, 4, 2, 3, -1, 4, 5, 2, 4]], [[1, 2, 3, -6, 7, 5, -1]], [[1, 6, 3, -6, 7, 0, -6, -1, 7, 1, -1, -6]], [[10, -20, 30, -39, 31, 50, 30, -60]], [[2, 3, -5, 0, 3, 0, 1, 2, -1]], [[1, 2, 31, -6, 7, 0, -1, 2, 1, 3]], [[0, 2, 3, -6, -10, 0, -1, 2, 1, 1]], [[1, 2, 3, -6, 7, 0, -6, -1, 7, -6]], [[10, -20, 29, -20, 6, -40, 50, -60, 10, -40]], [[2, 3, 50, 0, 3, 0, 4, 2, -1, 2]], [[1, 2, 3, -6, -6, 7, -6, -1]], [[2, 5, 3, -10, -5, 0, 4, 1, -1]], [[-10, 1, 1, 2, 3, 4, 5, 5, -9, 1]], [[0, 1, -2, -3]], [[1, 2, 3, -6, 7, 5, -1, 5]], [[1, 2, 3, -6, 7, 5, -1, 5, 1]], [[1, 2, 3, 2, 5, 4]], [[2, 3, -5, 0, -3, 4, 1, -1]], [[-3, -2]], [[10, -19, 30, -40, 50, 30, -60]], [[1, 1, -1, 6, 1, -1]], [[0, 2, 3, -6, -10, 0, -1, 2, 1, 1, -1]], [[1, 1, -1, 6, 1, -1, 1]], [[1, 1, -6, 6, 1, -1, 1]], [[10, -20, 30, -20, 6, -40, 50, -60, -60]], [[1, 2, 3, -6, 7, 0, -6, -1, 7, -1]], [[1, 2, -3, -4, 5, 6, -4]], [[-1]], [[0, 0, 0, 0, 0, 0, 0, 0, 0]], [[1, 2, 3, 4, -5, -6, -10, 7]], [[11, 12, 13, 14, -2, -3, -4, -8]], [[100, -200, 300, -400, -1, 2, -3, 4]], [[25, -20, 8, 7, -5, 33, -6, 14, 9]], [[0, 1, 2, 3, 4, 5, -10, -20, -30, 10, 20, 30]], [[1, 2, -3, -4, 5, 6, -7, -8, 9, 10, -11, -12]], [[100, 200, 300, -400, -500, -600, 700, -800, -900, 1000, -50, 75]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, -11, -12, -13, -14, -15]], [[10, 20, 30, -40, -50, -60, -70, -80, -90, 100, 200, 300, -400, -500, -600, 700, -800, -900, 1000, -50, 75]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, -11, -12, -13, -14, -15, -11]], [[-401, 100, -200, 300, -400, -1, 2, -3, 4]], [[25, -20, 8, 7,"}},"0c7455bdcb7bbde8cb9aadec6a64c080"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 3, 5, 0]], [[1, 3, -2, 1]], [[1, 2, 3, 7]], [[2, 4, -5, 3, 9, 7]], [[1]]]\n    results = [False, True, False, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(triples_sum_to_zero)\n\n\n\nprint('___SENTINEL___')\n","88ddfb1d15d5410d67c7e562d3b8617e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[2], [3], [4], [8], [10], [5], [6], [12], [15], [20], [1], [25], [7], [100], [500], [24], [101], [14], [99], [23], [19], [47], [48], [46], [26], [499], [27], [98], [28], [18], [45], [498], [13], [102], [11], [17], [501], [68], [21], [30], [10000], [987654], [1000], [1002], [97], [9999], [987653], [22], [29], [10001], [16], [31], [9998], [89], [44], [9997], [1003], [83], [43], [84], [100000], [1000000000], [59], [58], [999], [987652], [998], [57], [997], [996], [56], [9], [55], [92], [50], [42], [54], [53], [87]]\n    results = [4, 9, 16, 64, 100, 25, 36, 144, 225, 400, 1, 625, 49, 10000, 250000, 576, 10201, 196, 9801, 529, 361, 2209, 2304, 2116, 676, 249001, 729, 9604, 784, 324, 2025, 248004, 169, 10404, 121, 289, 251001, 4624, 441, 900, 100000000, 975460423716, 1000000, 1004004, 9409, 99980001, 975458448409, 484, 841, 100020001, 256, 961, 99960004, 7921, 1936, 99940009, 1006009, 6889, 1849, 7056, 10000000000, 1000000000000000000, 3481, 3364, 998001, 975456473104, 996004, 3249, 994009, 992016, 3136, 81, 3025, 8464, 2500, 1764, 2916, 2809, 7569]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(car_race_collision)\n\n\nprint('___SENTINEL___')\n","f633f5f010629dfa634899e385ac0171"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = []\n    results = []\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(car_race_collision)\n\n\n\nprint('___SENTINEL___')\n","6073e72df6d9a3bc6effbd34e6d8b662"]
[{"$cut":{"chars":96712,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[3, 2, 1]], [[5, 2, 5, 2, 3, 3, 9, 0, 123]], [[100, 200, 300, 400, 500]], [[-1, -2, -3, -4, -5]], [[0, 0, 0, 0]], [[2.5, 3.7, 8.9, 1.2, 0.5]], [[1, 2, 3, 4, 5, 6]], [[10, 100, 1000, 10000]], [[0.1, 0.2, 0.3]], [[-10, 0, 10]], [[2, 2, 2, 2]], [[1, 1, 1, 1, 1, 1, 1, 1]], [[4, -2, -3, -4]], [[1, 1, 1, 1, 1, 1, 1]], [[-1, -5, -3, -5]], [[-1, -5, -3, -5, -3]], [[0.1, 0.2]], [[1, 1, 1, 1, 1, 1, 1, 1, 1]], [[2, 200, 2, 2]], [[0.1, 0.3]], [[100, 300, 400, 500]], [[-1, -3, -4, -5, -1]], [[10, 100, 1000, 10]], [[-10, 0, 10, 0]], [[0, 0, 0, 0, 0]], [[2, 2, 500, 3]], [[0, 0, 0, 6, 0, 0, 0]], [[-1, -3, -5, -5]], [[2, 200, 3, 2]], [[0, 0, 0, 6, 0, 0]], [[-10, 0, 10, 0, 0]], [[1, 1, 1, 1, 10, 1, 1]], [[2, -1, 500, 3]], [[-1, -5, -3, -5, -3, -3]], [[-5, 10, 100, 1000, 10000]], [[2, 2, 2, 2, 2]], [[0.14907947235135702, 0.1]], [[-10, 0, 10, 10]], [[2, 200, 2, 2, 2]], [[2, 200, 300]], [[2, -1, 500]], [[-1, -2, -3, -4, -5, -4]], [[2, 200, 2, 2, 10000, 2]], [[-10, 200, 10]], [[0.1, 0.5, 0.3]], [[3.7, 0.1, 1.2]], [[-0.6821906440453559, 0.3, -0.6821906440453559]], [[2.5]], [[6, 200, 10]], [[1, 10000, 1, 1, 1, 1, 1, 1, 100, 1, 1]], [[2, 2, 500, 3, 2]], [[200, 10, 200]], [[-1, -2, 100, -4, -5]], [[2, 2, 2, 200]], [[1, 2, 3, 4, 5, 6, 5]], [[3, 2, 500, 3]], [[0, 0, 0, 100, 0]], [[3.5652526206208957, 3.7, 8.9, 1.2, 0.5]], [[-0.6821906440453559, -0.7691785226568567, -0.6821906440453559, -0.6821906440453559]], [[0, 400, 0, -1, 0, 0, 0]], [[-0.7691785226568567, 0.1, 1.2, -0.7691785226568567]], [[1, 0, 0, 0]], [[-0.6821906440453559, 0.3, -0.6821906440453559, -0.6821906440453559]], [[-10, 200, 10, -10]], [[1, 1, 0, 0]], [[200, 1, 1, 1, 1, 1]], [[0.1, 1.2, 1.2, 0.1]], [[-1, -2, -4, -4, -5, -4, -4]], [[2, 2, 1, 2, 2, 2]], [[1, 2, 3, 4, 6]], [[0, 0, 400, 0, -1, 0, -2]], [[3.5652526206208957, 3.7, 8.9, 0.5, 8.9]], [[4, -2, -3, 1000, 1000]], [[0.1, 0.3, 0.1]], [[-0.6821906440453559, 0.3, -0.6752788781109065, -0.6821906440453559]], [[-1, -2, -3, -4, -5, -4, -4]], [[-0.7691785226568567, 0.1, 1.2, -0.7691785226568567, -0.7691785226568567, -0.7691785226568567]], [[0.5, 88.08080880531568, -21.596861567647125, 0.14907947235135702, -59.15962684129501, -0.6821906440453559, -0.6752788781109065, -4.166307314246723, 0.14907947235135702]], [[1, 1, 1, 1, 10, 1, 1, 10]], [[3.5652526206208957, 3.7, 8.9, 8.9]], [[-1, -5, -5]], [[0, 400, 0, 0, 0, 0]], [[200, 9, 2]], [[-1, -2, 3, -3, -4, -5, -4, -4]], [[-1, -5, -3, -4, -3, -3]], [[-1, 0, -4, -4, -5, -4, -4]], [[3.5747542777313726, 3.7, 8.9, 0.5, 8.9]], [[0.5355425697452281]], [[1, 1, 1, 1, 1, 1]], [[-10, 1, 10, 1]], [[-1, -3, -4, -5, -1, -5]], [[2, 501, 0, -1, 500]], [[1, 10000, 1, 1, 1, 1, 1, 1, 100, 1, 1, 100]], [[10, 1000, 100, 1000, 10000]], [[-0.6821906440453559, -0.7691785226568567, -0.6821906440453559, 2.5]], [[-3, -4, -5, -1, -5]], [[1, 0, 0, -1]], [[2, 2, 1, 500, 2, 2, 2, 1]], [[1, 1, 1, 1, 1, -1]], [[8.9, -0.6821906440453559, -0.7691785226568567, -0.6821906440453559, 2.5]], [[-1, -2, -4, -4, -5, -4, -4, -5]], [[3, -1, 6, 0, 10, -5, 9, 0, -2, -7]], [[1.5, 3.8, -2.1, 6.4, 7.9]], [[False, True, False, True, False]], [[-8, 5, 9, -2, 6, 5, 0, -1, -8, 3]], [[7]], [[2, 4, 6, 8, 10, 12, 14, 16, 18, 20]], [[-3.4, -2, -0.5, 1, 3.2, 5.9, 8.6]], [[10000, 20000, 30000, 40000, 50000, 60000, 70000, 80000, 90000, 100000]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10]], [[-5, -4, -3, -2, -1]], [[1, -2, 3, -4, 5, 7, 40000, 9, -10]], [[False, False, False, True, False]], [[2, 4, 6, 8, 10, 12, 14, 16, 18"}},"29c7da557152d4c62e16dae8cb408e3b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[5, 3, 5, 2, 3, 3, 9, 0, 123]]]\n    results = [[2, 3, 4], [6, 4, 6, 3, 4, 4, 10, 1, 124]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(incr_list)\n\n\n\nprint('___SENTINEL___')\n","153f16ffa8259a270213ad9be017b918"]
[{"$cut":{"chars":59261,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 3, 5, 0]], [[1, 3, -2, 1]], [[1, 2, 3, 7]], [[2, 4, -5, 3, 5, 7]], [[1]], [[-3, 9, -1, 3, 2, 30]], [[-3, 9, -1, 3, 2, 31]], [[-3, 9, -1, 4, 2, 30]], [[-3, 9, -1, 4, 2, 31]], [[0, 0]], [[0, 1, -1]], [[1, -1]], [[1, -1, 0]], [[2, 4, -2, -4]], [[2, 4, -2, -4, 0]], [[2, 4, -2, -4, 6, -6]], [[-2, 2, -4, 4]], [[]], [[2, 3, 4, 5, -9]], [[2, -4, 4, -2]], [[2, 4, -2, -4, -2]], [[2, -4, 5, 4, -2, -4, 6, -6, 2]], [[0]], [[2, 4, -4, 6, -6]], [[2, 4, -2, -4, 1, -2]], [[2, 4, 5, -4, 5]], [[2, 4, -4, 6, -9]], [[2, -4, 4]], [[2, 5, 4, -2, -4, 6, -6, 2]], [[2, 4, -2, -4, 1, -2, -2]], [[-2, 2, -4]], [[-1, 75, -2, -6, -1, 26, -54]], [[0, 0, 0]], [[-2, 2, -4, 75, 4, 4]], [[2, 3, -2, -4, 0]], [[0, 1]], [[2, 3, 0, 0]], [[5, 2, -4, 4]], [[2, 4, 5, -4, 5, 4]], [[-2, -1, 6, 75, 4, 4]], [[-2, -4, 2, -4]], [[2, 3, 4, 5, -9, 3]], [[True, True, True, True, False, False]], [[-2, -4]], [[-2, 75, -2]], [[2, 2, 4, 5, -4, 5]], [[-54, 5, 4, -2, -4, 6, -6, 2]], [[-54, 5, 5, 4, -2, -4, 6, -6, 2, 2]], [[-4, 5]], [[2, 5, 4, -4, 6, -6, 2, 2]], [[2, 4, -2, -4, 1, -2, 1]], [[2, 3, 0]], [[2, 3, 4, 5, -9, 3, -9]], [[True, True, True, True, False, False, True]], [[2, -4, 5, 4, -2, 6, 75, 2]], [[2, 3, -4]], [[-4, 5, -4]], [[5]], [[2, 4, 5, -9, 3]], [[-6, -54, 5, 4, -2, -4, 6, -6, 2]], [[-2, 2, 1, -4, 4]], [[2, 4, -4, 0]], [[2, 3, -2, 0]], [[2, 4, 5, -9, 3, 4]], [[-2, -1, 6, 75, 4, 4, 75]], [[2, -4]], [[2, 4, -2, -4, -3]], [[-4, 5, -3, -4, -4]], [[0, 0, -1]], [[-1]], [[-2]], [[2, 6, 4, -2, -4, 6, -6, 2]], [[2, 4, -4, -5, 0, 2]], [[0, 0, -1, 0]], [[-4, 5, -4, -4]], [[False, True, False, True, True, True, False, False, True]], [[-2, 75, 75]], [[2, 6, 4, -2, -4, 6, -6, 2, -4]], [[5, 5, 2, -4, 4]], [[2, -2, -6, 0, 2]], [[-2, 75, 75, -2]], [[-2, 2, 1, 1, -4, 4]], [[2, 2, 4, -4, 5]], [[2, 6, 4, -2, -4, 6, -6, 2, -4, 6]], [[2, 4, 5, -9]], [[5, 2, 4, -4, 5, 4]], [[True, True, True, False, False, False, True]], [[1, -54, -1]], [[2]], [[-1, 75, -2, -6, -1, 26, -54, 75]], [[2, 3, 4, -9, 3]], [[2, 3, -8, 4, 2, -9, 3]], [[-2, -2, 26]], [[-1, 5]], [[5, 5]], [[26, -2, 2, -4]], [[-2, 2, 1, -4, -4, 4]], [[2, 4, 6, -4, 5, 4, 4]], [[-4, 5, -2, -3, -4, -4]], [[-2, 0, -4]], [[2, 6, 4, -2, 6, -6, 2, -4, 6]], [[4, -2, -4]], [[-4, 5, -3, -4, -4, 5]], [[-4]], [[2, 6, 4, 3, -4, 6, -6, 2, -4, -4]], [[0, 1, -1, 2, -2, 3, -3, 4, -4, 5, -5]], [[1, 2, 3, -1, -2, -3, -4, -5, 6, 7, 8, 9, -6]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1]], [[1000, -1000, 2000, -2000, 3000, -3000, 4000, -4000, 5000, -5000, 6000, -6000, 7000, -7000, 8000, -8000, 9000, -9000, 10000, -10000]], [[1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1]], [[10, -10, 5, -5, 3, -3, 1, -1]], [[0, 0, 0, 0, 0, 0, 0, 0]], [[-100, 50, 70, -80, 90, -50, 100, 30, -90, -70, 80, -30, -10, 10]], [[1, 2, 3, 4, 5, 6, -7, -8, -9, -10, -11, -12]], [[10, -5, 7, 3, -4, -1, 0, -6, -9, 2, 14]], [[1, 2, 3, -70, 5, 6, -7, -8, -9, -10, -11, -12, 5]], [[10, 5, -5, 3, -3, 2, -1]], [[10, -2, -10, 5, -5, 3, -3, 1, -1]], [[1, 2, 3, -70, 5, 6, -7, -8, 6000, -10, -11, -12, 5]], [[10, 5, 3, 5000, -3, 2, -1, 2]], [[3, 10, 5, -5, 3, -3, 2, -1, 3]], [[1, 2, 3, -70, 5, 6, -5000, -7, -8, 6000, -10, -11, -12, 5, -8]], [[0, 0, 0, 0, 0, 0, -1, 0, 0]], [[1, 2, 3, -70, 5, 6, -7, -8, 6000, -10, -11, 5000, 5]], [[10, -2, 5, 5, -5, 3, -3, 1, -4]], [[0, 1, 0, 0, 0, 0, 0, 0, -1, 0, 0]], [[1, 1, 50, 1, 1, 1, 1, -1, -1, -1, -1, -1, -1, -1, -1]], [[10, -5, 7, 3, -4, -1, 0, -9, 2, 14]], [[0, 1, 0, 0, 0, 100, 0, 0,"}},"05a5ac52f18b75f2846c2f8dd80d00f3"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 3, 5, 0]], [[1, 3, -2, 1]], [[1, 2, 3, 7]], [[2, 4, -5, 3, 5, 7]], [[1]]]\n    results = [False, False, False, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(pairs_sum_to_zero)\n\n\n\nprint('___SENTINEL___')\n","b900aacd94ceae3c032e97fcce98042a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[8, 3], [9, 3], [234, 2], [16, 2], [8, 2], [7, 2], [2, 3], [3, 4], [4, 5], [5, 6], [6, 7], [7, 8], [10, 5], [15, 4], [25, 6], [33, 7], [45, 8], [50, 9], [13, 5], [17, 3], [42, 8], [15, 2], [8, 4], [17, 8], [9, 5], [7, 6], [5, 8], [45, 7], [4, 9], [3, 3], [8, 8], [2, 8], [15, 7], [50, 5], [8, 7], [25, 5], [17, 9], [5, 9], [2, 6], [9, 9], [4, 4], [7, 7], [5, 4], [3, 7], [13, 7], [15, 3], [2, 2], [17, 7], [7, 5], [10, 8], [3, 6], [16, 8], [18, 2], [15, 5], [6, 6], [46, 8], [7, 9], [50, 2], [41, 8], [16, 4], [46, 5], [17, 2], [3, 2], [3, 9], [13, 8], [9, 6], [42, 7], [10, 4], [45, 6], [15, 8], [43, 7], [5, 5], [3, 5], [4, 3], [13, 9], [9, 8], [33, 9], [6, 3], [10, 7], [8, 9], [18, 7], [19, 7], [43, 5], [46, 7], [8, 5], [16, 7], [34, 3], [16, 6], [6, 4], [4, 6], [5, 7], [15, 6], [14, 5], [14, 6], [10, 9], [46, 6], [5, 2], [18, 9], [18, 8], [7, 4], [35, 9], [4, 8], [6, 5], [50, 7], [50, 8], [13, 4], [256, 5], [2019, 3], [34567, 9], [27, 3], [987654321, 8], [9999999, 9], [123456789, 3], [2669, 7], [48298461, 8], [245678, 7], [9999999, 8], [2019, 4], [987654321, 9], [245678, 8], [123456789, 8], [2019, 9], [6, 9], [2018, 9], [123456789, 4], [2, 4], [34567, 4], [9, 4], [256, 9], [48298461, 4], [245678, 3], [48298462, 9], [2669, 4], [1, 3], [2, 9], [48298462, 4], [2020, 3], [27, 2], [2669, 8], [4, 2], [2, 5], [245678, 9], [9, 7], [48298461, 2], [9999999, 6], [9999999, 5], [245678, 4], [26, 2], [2020, 4], [987654321, 3], [2018, 8], [34568, 9], [10, 2], [10, 3], [27, 8], [256, 4], [257, 4], [34568, 2], [9, 2], [34569, 2], [1, 2], [245678, 5], [2670, 7], [2, 7], [27, 9], [5, 3], [34567, 2], [34568, 4], [2669, 2], [26, 4], [123456789, 2], [2019, 8], [34569, 9], [34567, 3], [0, 3], [257, 8], [2669, 3], [26, 7], [2019, 5], [28, 3], [123456790, 8], [34567, 8], [257, 7], [48298461, 6], [256, 8], [2669, 6], [26, 6], [34568, 3], [27, 5], [26, 5], [9999999, 4], [48298460, 2], [2019, 6], [48298460, 9], [48298463, 6], [48298460, 7], [123456790, 9], [48298463, 9], [27, 6], [34569, 4], [27, 4], [34570, 9], [256, 3], [245679, 4], [245679, 8], [257, 9], [26, 3], [9999999, 2], [1, 6], [48298463, 8], [2669, 5], [123456791, 9], [257, 6], [0, 8], [123456790, 7], [257, 3], [245679, 9], [34570, 7], [1, 5], [123456790, 4], [48298462, 2], [9999999, 7], [34569, 3], [123456791, 4], [255, 5], [123456788, 4], [123456792, 4], [255, 6], [10000000, 8], [255, 9], [8, 6], [123456791, 3], [255, 2], [1, 8], [34568, 8], [10000000, 5], [255, 3], [48298461, 3], [48298461, 9], [123456790, 3], [34569, 7], [34570, 3], [123456789, 6], [123456788, 3], [257, 5], [987654321, 5], [2020, 9], [2018, 6], [1, 7], [48298461, 5], [6, 8], [48298462, 8], [34571, 7], [0, 7], [34571, 2], [28, 7], [34571, 4], [257, 2], [34569, 5], [11, 9], [48298461, 7], [48298462, 6], [245680, 4], [11, 6], [34568, 5], [10000000, 6], [48298462, 3], [2018, 3], [34569, 8], [245679, 5], [245680, 3], [10000000, 4], [10000000, 7], [9999999, 3], [34571, 6], [28, 9], [1, 4], [11, 7], [2670, 4], [0, 5], [123456791, 8], [123456788, 2], [9999998, 5], [34571, 8], [245679, 3], [123456792, 7], [34568, 7], [123456792, 5], [34568, 6], [123456788, 5], [2020, 2], [2670, 6], [48298460, 8], [245678, 6], [9999998, 3], [34570, 5], [48298460, 5], [10000000, 2], [123456792, 3], [2020, 8], [34571, 3], [245680, 8], [123456791, 7], [6, 2], [123456788, 8], [255, 8], [123456792, 2], [258, 5], [258, 9], [48298463, 3], [2671, 2], [245677, 4], [10000001, 2], [10000001, 8], [48298463, 4], [34570, 8], [34571, 9], [48298462, 7], [48298460, 4], [0, 9], [9999998, 2], [11, 3], [9999998, 6], [2671, 4], [2018, 2], [245676, 5], [123456791, 2], [9999998, 7], [28, 2], [28, 5], [10000001, 6], [34570, 2], [245676, 2], [11, 5], [2672, 5], [48298460, 6], [34570, 4], [256, 6], [123456790, 5], [48298464, 4], [2669, 9], [123456790, 2], [0, 2], [123456790, 6], [245677, 5], [2020, 7], [255, 4], [2019, 2], [28, 4], [10000001, 7], [48298464, 6], [30, 2], [25, 2], [123456788, 6], [258, 2], [26, 8], [245679, 6], [2018, 4], [0, 4], [34567, 7], [2018, 5], [27, 7], [10000000, 9], [987654320, 8], [245679, 7], [3, 8], [245677, 9], [34567, 6], [987654320, 6], [245677, 7], [245677, 6], [987654321, 6], [28, 8], [987654320, 9], [245677, 8], [987654320, 7], [987654320, 5], [4, 7], [245677, 3], [256, 2], [245678, 2], [26, 9], [245679, 2], [2670, 5], [2670, 8], [987654322, 6], [987654322, 2], [2017, 3], [2020, 5], [10000001, 4], [0, 6], [987654321, 2], [123456789, 9], [10000002, 6], [987654323, 2], [10000002, 7], [123456788, 9], [28, 6], [2017, 7], [25, 7], [2670, 9], [987654322, 8], [10000001, 9], [987654323, 4], [25, 3], [29, 2], [10, 6], [987654323, 7], [987654321, 4], [29, 3], [2020, 6], [987654320, 2], [245676, 3], [9999998, 9], [245676, 4], [245676, 9], [2016, 7], [987654319, 6], [987654319, 8], [10000002, 5], [2671, 6], [7, 3], [987654319, 4], [2017, 2], [987654319, 5], [2670, 3], [2018, 7], [25, 4], [987654319, 7], [10000001, 3], [256, 7], [2016, 5], [245677, 2], [34567, 5], [2017, 6], [29, 4], [10000001, 5], [29, 9], [48298462, 5], [987654320, 3], [9999998, 8], [48298463, 7], [987654323, 3], [2671, 8], [48298459, 2], [10000002, 2], [987654322, 4], [987654323, 6], [25, 9], [2016, 4], [245680, 7], [123456789, 7], [2668, 8], [123456789, 5], [987654322, 3], [245675, 4], [2017, 8], [987654321, 7], [48298463, 5], [48298459, 4], [987654322, 7], [48298459, 3], [12, 9], [2021, 2], [987654323, 8], [12, 8], [987654319, 9]]\n    results = ['22', '100', '11101010', '10000', '1000', '111', '2', '3', '4', '5', '6', '7', '20', '33', '41', '45', '55', '55', '23', '122', '52', '1111', '20', '21', '14', '11', '5', '63', '4', '10', '10', '2', '21', '200', '11', '100', '18', '5', '2', '10', '10', '10', '11', '3', '16', '120', '10', '23', '12', '12', '3', '20', '10010', '30', '10', '56', '7', '110010', '51', '100', '141', '10001', '11', '3', '15', '13', '60', '22', '113', '17', '61', '10', '3', '11', '14', '11', '36', '20', '13', '8', '24', '25', '133', '64', '13', '22', '1021', '24', '12', '4', '5', '23', '24', '22', '11', '114', '101', '20', '22', '13', '38', '4', '11', '101', '62', '31', '2011', '2202210', '52367', '1000', '7267464261', '20731370', '22121022020212200', '10532', '270174735', '2042156', '46113177', '133203', '2484401020', '737656', '726746425', '2683', '6', '2682', '13112330310111', '2', '20130013', '21', '314', '2320033213131', '110111000012', '110784027', '221231', '1', '2', '2320033213132', '2202211', '11011', '5155', '100', '2', '414005', '12', '10111000001111100111011101', '554200143', '10024444444', '323332232', '11010', '133210', '2112211110001000200', '3742', '52368', '1010', '101', '33', '10000', '10001', '1000011100001000', '1001', '1000011100001001', '1', '30330203', '10533', '2', '30', '12', '1000011100000111', '20130020', '101001101101', '122', '111010110111100110100010101', '3743', '52370', '1202102021', '0', '401', '10122212', '35', '31034', '1001', '726746426', '103407', '515', '4443111553', '400', '20205', '42', '1202102022', '102', '101', '212021121333', '10111000001111100111011100', '13203', '110784025', '4443111555', '1124346560', '277266781', '110784028', '43', '20130021', '123', '52371', '100111', '323332233', '737657', '315', '222', '100110001001011001111111', '1', '270174737', '41134', '277266782', '1105', '0', '3026236222', '100112', '414006', '202534', '1', '13112330310112', '10111000001111100111011110', '150666342', '1202102100', '13112330310113', '2010', '13112330310110', '13112330310120', '1103', '46113200', '313', '12', '22121022020212202', '11111111', '1', '103410', '10030000000', '100110', '10100212211000220', '110784026', '22121022020212201', '202533', '1202102101', '20130035113', '22121022020212122', '2012', '4010314414241', '2684', '13202', '1', '44331022321', '6', '270174736', '202535', '0', '1000011100001011', '40', '20130023', '100000001', '2101234', '12', '1124346561', '4443111554', '323332300', '15', '2101233', '554200144', '10100212211000221', '2202202', '103411', '30330204', '110111000021', '212021122000', '150666343', '200211001102100', '424015', '31', '1', '14', '221232', '0', '726746427', '111010110111100110100010100', '10024444443', '103413', '110111000020', '3026236224', '202532', '223101104132', '424012', '223101104123', '11111100100', '20210', '270174734', '5133222', '200211001102022', '2101240', '44331022320', '100110001001011010000000', '22121022020212210', '3744', '1202102102', '737660', '3026236223', '110', '726746424', '377', '111010110111100110100011000', '2013', '316', '10100212211000222', '101001101111', '323332231', '100110001001011010000001', '46113201', '2320033213133', '103412', '52372', '1124346562', '2320033213130', '0', '100110001001011001111110', '102', '554200142', '221233', '11111100010', '30330201', '111010110111100110100010111', '150666341', '11100', '103', '554200145', '1000011100001010', '111011111110101100', '21', '41142', '4443111552', '20130022', '1104', '223101104130', '2320033213200', '3585', '111010110111100110100010110', '0', '20130035114', '30330202', '5614', '3333', '11111100011', '130', '150666344', '4443112000', '11110', '11001', '20130035112', '100000010', '32', '5133223', '133202', '0', '202531', '31033', '36', '20731371', '7267464260', '2042160', '3', '414004', '424011', '242000505412', '2042155', '5133221', '242000505413', '34', '2484401018', '737655', '33321631442', '4010314414240', '4', '110111000011', '100000000', '111011111110101110', '28', '111011111110101111', '41140', '5156', '242000505414', '111010110111100110100010110010', '2202201', '31040', '212021122001', '0', '111010110111100110100010110001', '277266780', '554200150', '111010110111100110100010110011', '150666345', '277266778', '44', '5611', '34', '3586', '7267464262', '20731372', '322313212202303', '221', '11101', '14', '33321631445', '322313212202301', '1002', '13204', '111010110111100110100010110000', '110111000010', '20731368', '323332230', '414003', '5610', '242000505411', '7267464257', '10030000002', '20211', '21', '322313212202233', '11111100001', '4010314414234', '10122220', '5612', '121', '33321631441', '200211001102102', '514', '31031', '111011111110101101', '2101232', '13201', '131', '10030000001', '32', '44331022322', '2112211110001000122', '46113176', '1124346563', '2112211110001000202', '5157', '10111000001111100111011011', '100110001001011010000010', '322313212202302', '242000505415', '27', '133200', '2042161', '3026236221', '5154', '223101104124', '2112211110001000201', '323332223', '3741', '33321631443', '44331022323', '2320033213123', '33321631444', '10100212211000211', '13', '11111100101', '7267464263', '14', '2484401017']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(change_base)\n\n\nprint('___SENTINEL___')\n","ef7df0f56aff078ef786ad283eedc830"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[8, 3], [8, 2], [7, 2]]\n    results = ['22', '1000', '111']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(change_base)\n\n\n\nprint('___SENTINEL___')\n","3bdfdd60f6c0043632274c99e7d61bce"]
[{"$cut":{"chars":51239,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5, 3], [2, 2], [10, 8], [4, 6], [7, 2], [12, 5], [3, 4], [6, 10], [9, 12], [15, 20], [25, 30], [1, 1], [10, 7], [30, 30], [12, 4], [26, 25], [1, 4], [4, 7], [19, 20], [6, 6], [10, 1], [20, 20], [12, 12], [6, 5], [7, 7], [4, 12], [10, 10], [19, 12], [26, 11], [2, 11], [11, 7], [5, 19], [6, 2], [26, 12], [1, 25], [16, 15], [4, 3], [9, 9], [12, 13], [6, 11], [15, 21], [6, 16], [29, 30], [29, 29], [4, 4], [6, 15], [21, 30], [26, 26], [5, 7], [13, 12], [19, 19], [11, 11], [6, 21], [1, 16], [8, 7], [20, 19], [5, 20], [15, 15], [4, 10], [9, 10], [29, 10], [27, 26], [15, 8], [14, 15], [3, 2], [13, 13], [4, 9], [25, 25], [14, 6], [6, 7], [29, 15], [15, 13], [13, 20], [11, 26], [11, 8], [26, 15], [20, 22], [3, 3], [3, 14], [11, 10], [5, 11], [26, 13], [20, 16], [29, 13], [5, 6], [3, 12], [5, 21], [16, 20], [8, 21], [21, 14], [8, 10], [14, 14], [7, 3], [5, 4], [29, 26], [2, 3], [12, 28], [2, 14], [21, 20], [27, 4], [30, 29], [25, 21], [10.5, 3.5], [1000, 0.001], [2.5, 4], [True, 10], [1000000000000, 0.1], [5.5, 5.5], [1000.234, 550.123], [1e-06, 500000000], [1e-50, 1e+50], [1e+50, 1e-50], [1e-06, 1e-06], [2.5171570275185937, 4], [2.5, 1000000000000], [2.5, 5], [10.5, 3.7763622848915785], [10.5, 10.5], [0.09250267285921429, 1000], [3.0140143224731513, 5], [3.0140143224731513, 3.7763622848915785], [500000000, 500000000], [2.5, True], [1e-50, 1e-50], [3.0140143224731513, 3.0140143224731513], [1e+50, 1e+50], [5.5, 5.933203128831868], [4, 10.5], [304.11337213124403, 304.11337213124403], [6.351228473089266e-51, 1e+50], [2.5171570275185937, 2.5171570275185937], [2.5, 999999999999], [11.32261214198862, 10.5], [3.7763622848915785, 550.123], [4, 5], [14.768668237973262, 14.768668237973262], [500000001, 1000000000000], [6.351228473089266e-51, 1000000000000], [True, True], [1000000000000, 999999999999], [1000000000000, 500000000], [2.5, 2.5], [550.123, 550.123], [5.594645686633063, 5.933203128831868], [10.860558211363623, 3.7763622848915785], [2.5, 10.5], [1000000000001, 0.1], [10.5, 2.944801050034961], [304.7017291578964, 1e+50], [2.944801050034961, 1e-50], [1000000000000, 1000000000000], [2.944801050034961, 1000000000000], [2.5171570275185937, 500000001], [3.7763622848915785, 400.0476921945371], [6.351228473089266e-51, 6.351228473089266e-51], [5.933203128831868, 1000000000000], [1000, 0.0008819244812954113], [2.5171570275185937, 3.5], [2.5171570275185937, 2.654434753799174], [3.9008879248837105, 550.123], [2.5, 1.912103537027174], [3.0140143224731513, 1000000000001], [0.9697216977517569, 6.351228473089266e-51], [5.933203128831868, 5.594645686633063], [3.4652809018704174, 2.5], [3.7763622848915785, 3.7763622848915785], [1001, 0.0008819244812954113], [3.7763622848915785, 550.9464604050861], [500000001, 1.9656455435118383], [1001, 0.0010065362974608783], [3.6046772448926214, 3.6046772448926214], [10.5, 3.0140143224731513], [1000000000000, 999999999998], [3.280012252143434, 999999999998], [1000000000000, 0.0008819244812954113], [3.9008879248837105, 3.9008879248837105], [11.32261214198862, 0.0008819244812954113], [999999999998, 5], [2.944801050034961, 6.140317150374408e-51], [2.702723670662734, 999999999998], [0.6146614673790448, 1e-06], [2.968862381334059, 999999999999], [3.4652809018704174, 3.7763622848915785], [2.5, 2.7863944083610077], [5.933203128831868, 1000.234], [2.5, 10.96884213871541], [0.4033919011136194, 0.4033919011136194], [3.3276207140237215, 3.0140143224731513], [5.371412117716168, 5.93320312883186"}},"fd17227f492d7c28b3abf4fadd31b869"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5, 3]]\n    results = [7.5]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(triangle_area)\n\n\n\nprint('___SENTINEL___')\n","0817e370a6a5d37731c6550a88f34f2b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5], [8], [10], [12], [1], [2], [3], [4], [6], [7], [9], [11], [15], [20], [19], [21], [16], [17], [14], [18], [22], [0], [13], [23], [24], [41], [25], [98], [26], [27], [82], [81], [80], [40], [99], [83], [84], [39], [100], [28], [29], [97], [85], [86], [30], [95], [87], [31], [32], [33], [34], [42], [43], [101], [79], [88], [96], [38], [94], [93], [89], [92], [37], [44], [35], [45], [102], [103], [36], [91], [105], [104], [106], [90], [50], [46], [49], [51], [47], [78], [77], [52], [48], [53], [76], [107], [54], [108], [109], [72], [73], [71], [74], [68], [67], [110], [70], [55], [500], [1000], [999], [998], [997], [1001], [1003], [498], [499], [1004], [1002], [1005], [996], [497], [75], [61], [62], [63], [64], [496], [501], [995], [502], [503], [66], [65], [504], [505], [495], [494], [493], [492], [1006], [491]]\n    results = [4, 28, 104, 386, 0, 2, 0, 2, 8, 14, 54, 200, 2764, 73552, 38158, 141776, 5328, 10270, 1434, 19796, 273282, 0, 744, 526768, 1015378, 71083647136, 1957204, 1250966502919879120640717716, 3772632, 7271982, 34443880418283540493826, 17869142915445859640640, 9270333790937632951616, 36877489824, 2411315463631208843587520078, 66392714182364268855232, 127976071307031301941314, 19131675294, 4647959998589498844128566416, 14017196, 27019014, 648988991706202294407873694, 246681808823124970931012, 475494474730804082221384, 52080824, 174670928672918843046473740, 916545069043324623948942, 100389016, 193506050, 372994904, 718970794, 137018135298, 264110947552, 8959230956846789102764677904, 4809357057697235769150, 1766697423904284979042652, 336689040332208585492454928, 9925323044, 90617542208549397693915354, 47011480492525468175029672, 3405418776501538656143990, 24389088958214876577036162, 5149158974, 509090219810, 1385860764, 981302949796, 17269472921987375911121482114, 33287979341054872701602246512, 2671332512, 12652817013629100600492552, 123681326438367574275105379476, 64164643218478536559616972946, 238403421919888359447446081048, 6564155744179952341356968, 26112283777288, 1891522252456, 13546793363542, 50333045302120, 3646026369614, 2495046654202812132420, 1294405412608178787454, 97020064234626, 7027941791676, 187012186677576, 671524666429406262592, 459537370917789342983770679982, 360477579991610, 885786762494523813265939113452, 1707408881770569089972261253958, 48643920250633737730, 93764171013545442488, 25235982484270910776, 180736250708388495690, 3523669487722032972, 1828044717908083822, 3291136437102770605669417128440, 13092176959938404696, 694842876205932, 4683845716690180034539796272188497123185499535401362646845638880052842590096588363096828154816550799073811944964910934796641232183050271821520, 149547043138259727015096384049610726618726804255794097638599078041110780764071741229530332670686964029765482703354480554521159825599963893124385760545082454600686514973757585648968777570336074773234360071278282617747789932964133310884195664597309999155447895565685043713734470810760608, 77583520032237968378587772618535425191575509913567987406119797373147019391141324256620017416750041382241767216536494841318892788001313694598614670005755267502315822069599137802752127730223321831560623251004298203410859790833345184696271852051551460321923245189808074836212476262156702, 40249559297723974715950079949236002430423945312197229647912606593547214097941112719064962932043733178089331278072189769895020129777472120871317950997807774945333074946921261024265735148789247464604010734681176533935854869165969698579556028006971105202695520676040537458395870328044580, 20881071430992498667558244139656152882585768203969115040911834833913116975392307981894700746216590605092816576288374798734592196516503879341118163838572588798407063645105670133951386864673677825226510909176969097722740096660032751809964571919869313422436487989492763654846654794753086, 288261193899214168777192480757038307123312027685528429733543316841718131228546486187110013765697329195189397774251539964469664939895253587935436545387218085846742475635383654609938027314022321894625504966140726452817244689623480945969988116575701878102503149421026419663189472195714976, 1071033073437147703057703354799604920297652629021978259204436991105499076865460216065585690638312402392482626666357220490514455236770534472188191902873919390844822700304402017147583600377952684463444987311527791081887643696007888581680467294456097780362444101029079613884668708865309152, 1260624897417852625576044478298372128943521210742654024395221969632329136735782024940759454196815727303904706725268739805145177720572093582036, 2429932617609716069359946151595027889475026810784174006789181732198363225711635311383050097118386585780077976807725696990168782893560829719694, 2064482626842057437736818936980674415403729748130388531002754184837851134339779107874551363859874763402723486116177946139710017685539755249777769135742083514187329578539204896492415073025682047095329351372051283960364427601182431978664662736860644100402964956868351152933124941468461602, 555641316367435838886826717374420461364038287167087744426174798849523145481700664392325326785178067785285978972214705130204737683274003296529754926935863582895077887625661639085924667763370965964024499023104483807911749282586929140130011661231534442782569810852560075671532289596676866, 3979418210545855148458541489911738104188732692004982964366909291634591487915486474519572395049062562775681489529001411724898875545479546606431152510939084573773972642104652207335861368481028019417424342672824285302981065269400730646445129809123978201650482018171017262152515412126162596, 10832892377305285253000287342183146114141580826059765543654839240503430299596996271950651575676598864341567632457421144572654711304674198313334975702946823354630554312131516687999527826649827651843215176415838782678335176304785675798403212618918120208392641710343667764279469425806240, 653999670802812778855740732101389822158818576116982074644494772348569232802626450747381246319643705608563299128770307309056746543387968893726, 348380324456838586684, 35639919326849136, 68698153303713410, 132419948094134672, 255247656741676658, 339288530859798560748064910193707282608132937757552541016740405873580994846544576025637357181704780381265962303146190692270525025529379626064, 9028402902520561508331527634183286963762866133045172752674537354232104185346632150168018952451396817766357927626675678901011939340571164016976, 5619996926216209742079161187460123764424215571341877173640516705183258018210907283709702162813118734718051729718509128116625750402663496072843579466428080403945129165440689956535477890110568889886886430730313789073929648702557058508348039505792921488398594813931105958690481713552796, 17402806134238310237807314536265184105366913689973363430704579936115639137890637849588656658583149929924152556124581050492967132137754359140226, 33544987371058767850038584594231996081790306169204072837013937902598949139045493674236553862969484132544400405523893361180789086554936624698416, 948371435605898616, 492005677466373876, 64660042124507819630717223036868964274105585527623971667238694072999535052379352037090057628820581679308722834240061025371409390216312419677138, 124636238532325459226894649801549431425025671519846580687631749265946227514662115711083287102824612559543633723515211115946177548249574567532756, 176019518529252104180096031001558655764554086166985366732724584343883861326682259669272039420222372486344008650540459183696333604071387617868, 91317177225989181792142805001716368412015610701134042001262207066295047759928738498468811275244868827731436642811782620121572547583357444378, 47374444187772932135436985904407515374115941491310124893767575064809328869470876554003038442471683913221891532271874812968315366203844205416, 24577390916784342640389088286024743057447299398123007388986039398592756890462701303893468043765855153968625477522074075484303507670790358402, 7670575227192496128139890499066437901254153356324437499000275266427464844602426462852034776332427796356173581283751283485328086151063839624926868476490951061701202808573920760061784709648033716940223180379507844153144885849177980346920271501672254525198460886921008104641841352056610216, 12750506198705647612127151809410028920975234576418192448708762814186727806819943312906721658739964591422054997934727675122142182613395609672]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fib4)\n\n\nprint('___SENTINEL___')\n","57e02664c731d65d2a19d3160bf0062e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5], [6], [7]]\n    results = [4, 8, 14]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fib4)\n\n\n\nprint('___SENTINEL___')\n","097b47a246bab3686e4f9520dd799b60"]
[{"$cut":{"chars":71488,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[3, 1, 2, 4, 5]], [[-10, 4, 6, 1000, 10, 20]], [[5]], [[6, 5]], [[8, 1, 3, 9, 9, 2, 7]], [[10, 20, 30, 40, 50]], [[-5, -3, 0, 3, 5]], [[1, 3, 7, 8, 10, 10]], [[2, 2, 2, 2, 2, 2]], [[2, 5, 8, 11, 14]], [[1, 1, 1, 2, 3, 4]], [[-1, 0, 1]], [[100]], [[7, 9, 3, 5]], [[0, 0, 0, 0, 0, 0, 1]], [[1, 11, 3, 7, 8, 10, 10]], [[1, 1, 1, 3, 4]], [[0, 0, 0, 0, 1]], [[1, 1, 2, 2, 3, 4, 1]], [[100, 100]], [[1, 3, -1, 7, 8, 8, 10, 10, 8, 8]], [[1, 1, 1, 2, 2, 3, 4, 1, 1]], [[1, 3, 8, 10, 10]], [[1, 1, 2, 2, 3, 4, 1, 4]], [[1, 3, -1, 7, 8, 8, 10, 10, 8]], [[0, 0, 0, 0, 0, 0, 1, 0]], [[1, 11, 1, 3, 7, 8, 10, 10, 7]], [[1, 3, -1, 7, 8, 0, 10, 10, 8]], [[1, 1, 1, 2, 2, 3, 4, 1, 1, 1]], [[0, 0, 0, 1]], [[0, 0, 0, 11, 0, -1, 0, 1, 0]], [[0, 0, 10, 9, 0]], [[14, 100]], [[13, 15, 100]], [[10, 20, 4, 30, 40, 50]], [[1, 11, 4, 7, 8, 10, 7, 10]], [[7, 5, 9, 3, 5]], [[10, 20, -1, 30, 40, 50]], [[13, 0, 0, 1, 1, 0]], [[0, 0, 100, 1]], [[-5, -3, 0, 3, 5, 0]], [[1, 1, 1, 3, 4, 1]], [[14, 1, 3, 7, 8, 10, 10]], [[10, 20, 4, 30, 13, 2, 40, 50]], [[1, 1, 1, 4, 9, 1]], [[10, 20, 4, 30, 13, 2, 40, 50, 30]], [[14, 15, 100]], [[1, 11, 4, 7, 8, 10, 7, 10, 8]], [[100, 99, 100]], [[1, 1, 1, 2, 3, 4, 4]], [[10, 4, 30, 40, 51]], [[1, 1, 1, 3, 1, 1, 4]], [[0, 0, 2, 0, 0, 0, 0, 1, 0]], [[0, 2, 2, 2, 2, 2, 2]], [[7, 9, 3, 3, 5, 3]], [[-5, -3, 0, 3, 6]], [[1, 1, 2, 2, 3, 4, 1, 4, 4]], [[7, 10, 3, 3, 5, 3, 3]], [[7, 5]], [[7, 10, 3, 3, 3, 5, 3, 3, 3]], [[1, 1, 1, 2, 3, 4, 1, 4, 4]], [[1, 1, 1, 0, 9, 1]], [[1, 1, 8, 2, 8, 3, 5, 1]], [[1, 1, 2, 2, 3, 4, 1, 3, 4]], [[1, 1, 1, 2, 3, 6, 99, 4, 4]], [[1, 1, 4, 8, 8, 3, 5, 1]], [[1, 30, 2, 3, 4, 1, 3, 4, 4]], [[1, 3, 7, 8, 8, 10, 8]], [[6, 1, 3, -1, 7, 8, 8, 10, 10, 8, 8]], [[0, 0, 40, 2]], [[2, 5, 40, 8, 11, 14]], [[-5, -3, 0, 3, 5, -5]], [[-5, -3, 0, 4, 5]], [[0, 0, 0, 11, 0, -1, 0, 1, 6, 0]], [[0, 0, 14, -1, 0, 1]], [[-5, -3, 0, 4, 5, 0]], [[10, 1, 1, 1, 3, 4]], [[-5, 50, 0, 3, 6]], [[1, 3, -1, 9, 7, 8, 0, 10, 10, 8]], [[1, 4, 1, 8, 2, 8, 3, 5, 1]], [[1, 1, 20, 2, 3, 6, 99, 4, 4, 1, 2]], [[1, 1, 1, 3, 1, 4]], [[1, 3, 7, 8, 3, 10]], [[1, 1, 1, 2, 2, 3, 4, 1, 1, 3]], [[-1, -3, 0, 3, 5, -6, 0, 0]], [[1, 1, 2, 3, 4, 4]], [[1, 51, 1, 1, 4, 9, 1]], [[10, 20, 30, 40, 50, 50]], [[1, 4, 30, 8, 2, 8, 3, 5, 1]], [[-5, -3, 0, 3, -5]], [[7, 8, 5]], [[1, 1, 1, 14, 2, 2, 3, 4, 1, 4]], [[0, 0, 9, 0, 0, 0]], [[19, 7, 9, 3, 5]], [[1, 1, 2, 5, 2, 3, 4, 1, 3, 4]], [[7, 5, 9, 3, 5, 5]], [[1, 3, -1, 7, 8, 8, 10, 10, -3]], [[10, 20, -1, 40, 50, -1]], [[9, 3, 5]], [[0, 2, 2, 1, 2, 2, 2, 2]], [[7, 5, 9, 3, 5, 4]], [[-5, 51, 50, 0, 3, 6]], [[2, 5, 8, 11, 14, 14]], [[-5, 51, 50, 0, 6]], [[9, 11, 1, 2, 6, 8, 3, 15, 15]], [[10, 9, 8, 7, 6, 5, 4, 3]], [[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10]], [[2, 4, 5, 6, 8, 10, 12, 14, 20, 22]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]], [[20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1]], [[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], [[3.5, 5.7, 6.1, 7.2, 10.0, 12.5, 13.0, 14.5, 16.8, 19.7]], [[2.7, 3.8, 7, 13, 74, 108.3]], [[1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 89, 91, 93, 95, 97, 99]], [[2, 4, 5, 6, 8, 10, 12, 14, 20, 22, 8]], [[10, 9, 8, 6, 5"}},"a16e406f4ad584e8a4becd91265310b6"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[3, 1, 2, 4, 5]], [[-10, 4, 6, 1000, 10, 20]]]\n    results = [3, 8.0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(median)\n\n\n\nprint('___SENTINEL___')\n","a9f35ebd2abe96c7e358e6360c748b81"]
[{"$cut":{"chars":47565,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['aba'], ['aaaaa'], ['zbcd'], ['xywyx'], ['xywyz'], ['xywzx'], ['a'], ['ab'], ['abc'], ['abca'], ['racecar'], ['never odd or even'], ['step on no pets'], ['Was it a car or a cat I saw?'], ['radar'], ['refer'], ['bab'], ['aabc'], ['Was it a car or a cat I saw?refer'], ['Was it a car or a sacat I saw?'], ['aabca'], ['Was it a car ostep on no petsr a ca t I saw?'], ['Was ait a car or a sacat I saw?'], ['Was it a car orWas it a car or a cat I saw?refer a sacat I saw?'], ['reacecar'], ['aWas ait a car or a sacat I saw?b'], ['reWas it a car or a cat I saw?fer'], ['frefer'], ['aaWas it a car or a cat I saw?bWas it a car ostep on no petsr a ca t I saw?ca'], ['abbcc'], ['aaWas it a car or a cat I rbWas it a car ostep on no petsr a ca t I saw?ca'], ['abbc'], ['aaWas it a car or a cat I rbWas it a car ostep on no petsr a cafrefer t I saw?ca'], ['abcaabca'], ['areferaWas it a car or a cat I rbWas it a car ostep on no petsr a ca t I saw?ca'], ['rar'], ['Was it a car or I rbWas it a car ostep on no petsr a ca t I saw?cat I saw?refer'], ['babb'], ['never odd or  even'], ['abbbc'], ['never odd or e ven'], ['aa'], ['nXHRf'], ['Was it a car or a cat I saw?rr'], ['ranever oddWas it a car or a sacat I saw? venr'], ['babbabcca'], ['baabbcbbabcca'], ['aaWas it a car or a cat I saw?bWas it a car osteaabcp on no petsrr a ca t I saw?ca'], ['rereWas it a car or a cat I saw?feracecar'], ['aaacaracecar'], ['aWas ait never odd or evena car or a sacat I saw?b'], ['Waas it a car or a cat I saw?abc'], ['areferaWas it a car or a cat I rbWas it aa car ostep on no petsr a ca t I saw?ca'], ['rr'], ['baabbcbbbcca'], ['Was it a car orWas it a car or a cat I saw?r a sacat I saw?'], ['abbbWas it a car or I rbWas it a car ostep on no petsr a ca t I saw?cat I saw?referc'], ['bWas it a car ostep on no petsr a ca t I saw?abbabcca'], ['reWas it a car or a catw Ir saw?fer'], ['abb'], ['Was it a car or a cat I saw?referranever oddWas it a car or a sacat I saw? venr'], ['abbccc'], ['aaaabca'], ['Waas it a car Was it a car or a cat I saw?or a cat I saw?abc'], ['reWas it a car or a ccat I saw?fer'], ['reefer'], ['bWas it ?aa car ostw?abbabcca'], ['reWas it a car rereWas it a car or a cat I saw?feracecaror a ccat I saw?fer'], ['ba'], ['aaacar'], ['babbccaabbcbbabcca'], ['aaWas it a car or na cat I saw?bWas it a car ostep on no petsr a ca t I saw?ca'], ['reefrer'], ['areferaWas it a car or a cat I rbWas it a car ostep onareferaWas it a car or a cat I rbWas it a car ostep on no petsr a ca t I saw?ca no petsr a ca t I saw?ca'], ['racecrar'], ['racecreWas it a car or a ccat I saw?fer'], ['breWaes it a car rereWas it a car or a cat I saw?feracecaror a ccat I sawreefrer?fera'], ['Was it a car orWas it a car aor  a cat I saw?r a sacat I saw?'], ['abbbWas it a car oaaaabcar I rbWas it a car ostep on no petsr a ca t I saw?cat I saw?referc'], ['abbbWas it a car oaaaabcar I rbWas it a car ostep on no petsr a ca t I saw?cat aI saw?referc'], ['abbbbc'], ['raneaver oddWas itrefer a car or a sacat I saw? venr'], ['reWas it a car or a catw Ir sraw?fer'], ['baabbcbbabcbabbabccaca'], ['baabbcbbabcbabbcabccaca'], ['babbbbc'], ['Was it a cara orWas it a car aor  a cat I saw?r a sacat I saw?'], ['abcaabcbreWaes it a car rereWas it a car or a cat I saw?feracecaror a ccat I sawreefrer?feraa'], ['bWas it a car ostep on no a t I saw?abbabcca'], ['raaefer'], ['Was it aWas it a car orWas it a car or a cat I saw?r a sacat I saw? car or a cat I saw?'], ['abbbWas"}},"d46bc58ac49497e490df03750cbf2045"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[''], ['aba'], ['aaaaa'], ['zbcd']]\n    results = [True, True, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_palindrome)\n\n\n\nprint('___SENTINEL___')\n","30bcd79fd15cd88277fe93f613763dff"]
[{"$cut":{"chars":20307,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[3, 5], [1101, 101], [0, 101], [3, 11], [100, 101], [30, 5], [31, 5], [5, 17], [10, 23], [20, 37], [50, 79], [100, 89], [200, 113], [7, 3], [12, 7], [50, 23], [101, 103], [20, 20], [37, 37], [200, 112], [19, 19], [3, 3], [200, 200], [79, 79], [17, 20], [100, 20], [100, 3], [6, 6], [23, 200], [78, 79], [6, 78], [5, 5], [6, 19], [5, 6], [7, 78], [113, 112], [3, 20], [6, 20], [7, 101], [101, 101], [7, 6], [5, 200], [17, 21], [21, 5], [10, 10], [20, 21], [20, 17], [17, 100], [19, 2], [99, 20], [17, 17], [7, 7], [79, 3], [6, 10], [99, 98], [78, 100], [79, 112], [112, 101], [112, 20], [19, 6], [8, 78], [79, 200], [112, 113], [10, 88], [112, 112], [12, 101], [8, 200], [80, 50], [113, 113], [20, 19], [50, 20], [12, 4], [202, 200], [19, 200], [98, 4], [19, 50], [113, 100], [8, 100], [200, 8], [17, 78], [37, 80], [88, 21], [202, 202], [10, 17], [19, 5], [19, 4], [36, 200], [101, 200], [112, 114], [88, 97], [17, 5], [200, 37], [100, 18], [88, 20], [20, 103], [6, 21], [7, 20], [19, 18], [21, 103], [80, 37], [21, 102], [36, 7], [100, 100], [20, 99], [36, 101], [80, 5], [36, 78], [234, 101], [50, 17], [4321, 1009], [100000, 7], [9876, 54321], [1000000, 999983], [999999, 100019], [172870, 530123], [1048576, 523], [523, 1048576], [233, 101], [172870, 9876], [9875, 54321], [172871, 523], [1009, 17], [172871, 172871], [999983, 999983], [233, 233], [101, 54321], [999984, 999984], [1000002, 1000000], [50, 9875], [172870, 101], [232, 101], [523, 523], [172871, 172870], [7, 999999], [4321, 4321], [54321, 17], [172872, 172871], [54321, 54321], [233, 530123], [4321, 999999], [235, 234], [1000002, 1000001], [233, 234], [172870, 172871], [17, 1009], [1000003, 1000003], [1000003, 17], [999999, 172871], [172870, 172870], [999984, 172871], [523, 100000], [100019, 172872], [9877, 54321], [16, 16], [7, 233], [18, 235], [1000002, 1000002], [101, 530123], [999984, 101], [172871, 235], [101, 50], [1000002, 18], [999984, 999983], [172869, 172869], [524, 523], [233, 172871], [1000000, 172871], [999984, 235], [999999, 999999], [101, 1000000], [232, 232], [172871, 172869], [9877, 9877], [1000000, 524], [1000001, 7], [1048576, 524], [51, 50], [530123, 530123], [9877, 9875], [522, 524], [7, 9877], [9876, 9876], [999984, 999999], [530123, 9877], [999984, 999985], [1000003, 523], [172869, 172871], [999984, 999998], [4321, 233], [9877, 9876], [999999, 18], [1000000, 1000000], [172871, 530123], [9874, 9875], [523, 99999], [1000003, 54321], [9, 1000001], [172872, 1009], [54323, 523], [235, 1009], [522, 999983], [233, 9877], [1000000, 999999], [9875, 530123], [9877, 54322], [231, 231], [18, 9875], [172869, 18], [1000000, 172870], [522, 100000], [524, 1009], [530124, 530123], [234, 16], [102, 1000000], [51, 1009], [18, 172869], [51, 51], [9875, 172871], [1000003, 1000002], [523, 524], [17, 172872], [523, 1048577], [522, 17], [99999, 99999], [530122, 231], [234, 999984], [8, 9877], [999983, 999984], [9, 101], [7, 999984], [232, 530122], [523, 172869], [999999, 19], [9875, 99999], [54320, 54321], [233, 999985], [522, 9876], [4322, 172869], [16, 9875], [17, 9877], [522, 9877], [232, 999984], [172870, 9875], [9875, 9875], [54322, 7], [172870, 172869], [4320, 1009], [1000001, 524], [530122, 19], [54322, 4321], [19, 17], [54323, 530124], [233, 9878], [54323, 232], [172869, 4322], [4320, 999984], [9878, 9875], [52, 51], [1000001, 1000000], [1048577, 1000001], [54322, 1000000], [530122, 530123], [8, 530122], [7, 1000001], [100019, 172871], [98"}},"2fa2d7514756023256e6395ea65558d0"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3, 5], [1101, 101], [0, 101], [3, 11], [100, 101]]\n    results = [3, 2, 1, 8, 1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(modp)\n\n\n\nprint('___SENTINEL___')\n","bf1fe5708c002e8ce1a75c95be678800"]
[{"$cut":{"chars":126107,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['tantywccpjkimslotpzs'], ['clknfxdnox'], ['dtzqyosaovdbafbg'], ['dffjvztknohzf'], ['brhkdngfwd'], ['amlcrporykmgbhzctpnh'], ['ondbgojmipwoofzeyrh'], ['atobiwyiitrvhuctz'], ['kyrzjawonglfbsedmhmk'], ['esusgpgnaelf'], ['jbocbcqiuggvenbq'], ['zmmcumljlx'], ['ibrcruwukgetv'], ['ncbelcfjqcgxshtdiz'], ['xgcckzjdfp'], ['gzlnmjjytxhydvy'], ['zxlxfflljav'], ['kfeabaemohxvodorv'], ['kdfcevzlswkkmkwdrcrg'], ['oxtrmhyjjbm'], ['bvhfetbvrspmepdqu'], ['lycqknawupoydpve'], ['vmbjsfxvtgjkxgvazub'], ['ffkskhcrjnixkkdivamc'], ['zszowxcyfksyaiov'], ['mcqqnjopwar'], ['dkglzmaccvjlrjuhgmp'], ['hudnjifakmaknaiwjjoz'], ['ppineedncm'], ['nhnnpeyazv'], ['hfgrlomgpnzomltm'], ['opejcxrnkfi'], ['caocjafernbzwkerkjul'], ['uenrgscamkc'], ['ntphbmfuyhgxxekrh'], ['lullbgnzzlpsf'], ['nfzgyzvqkkkhqwoc'], ['rseeagndpy'], ['jzfmflvqsujn'], ['zhemzjdbgmzhlojon'], ['bejmmyaivqmztwx'], ['dkrixwritnwanp'], ['phbenxhnsrceqgo'], ['lkwatqvqox'], ['sodavpratfhciez'], ['rdbebqamnqnrojlyc'], ['qpcjvbttxkfoarmbgaj'], ['buoybjwmnkca'], ['zhsxvqgydfzom'], ['ebqzwqwgczokyqlleqv'], ['zkblrdvzwzfcucl'], ['qhyokykhohqmbg'], ['ppivcuwwha'], ['tojlipluqsrqxmkl'], ['pmtxclojrsx'], ['ankmnlxytriytxuycfar'], ['vbxyasxabsgmm'], ['nvscnydxnomkbhzo'], ['qnfhjywwxbewrtwqz'], ['qcopkrvocdnbvok'], ['vmiimkfgpijybehf'], ['umivhawwroqbi'], ['ngtcnxdbfem'], ['rceydgerfqlcdjwqufp'], ['xiwqysuzxhrok'], ['pbiutcflmhcatu'], ['eigoipkfsygpkzdbfba'], ['pksrbhoobdcxuzztpry'], ['ufpgxygqut'], ['ruysajspjftawat'], ['htltipbsjyeyd'], ['nbdcbfdwridowau'], ['tmppfczqbbymxz'], ['uozrdjywqt'], ['hntgkfcaqplmvwigugcn'], ['fjvtaauddtbfxyx'], ['oueajaaouchg'], ['xjnoxinpwjxfkdhypha'], ['ydkfspcqqgoy'], ['zkhvcaficnsrpftfyacc'], ['uhvwguwpwp'], ['caqjqcvjknjpxvsh'], ['jgartypykutysuu'], ['kcjkljbqqqllnvvn'], ['cyhmtsgqyz'], ['kfznlgufze'], ['evvyotysuo'], ['bszxdxfofeuqowuul'], ['fxrorccues'], ['fjbitcryrirgche'], ['esmaafzdoathkfbr'], ['nyglikurdgsrxppfaaaq'], ['tbnxtryklhivaozovo'], ['ysapkxzhoyt'], ['szmyeptvbecdu'], ['aehjjihebqyikhgbfdv'], ['blxkxtkcpajpuyghrj'], ['yfctlzlvmg'], ['ltlczacgtm'], ['kenorgfepxvymu'], ['abcdefghijklmnopqrstuvwxyz'], ['encoded message with shift'], ['abcde'], ['vwxyz'], ['hello world'], ['the quick brown fox jumps over the lazy dog'], ['éîøüñ'], [''], ['hello'], ['world'], ['the quick brown fox jumps over the abcdefghijklmnopqrstuvwxyzlazy dog'], ['éîøühello worldñ'], ['worlencoded message with shiftd'], ['abcdefghijklmnopqrsttuvwxyz'], ['worhello worldld'], ['worlencoded messagevwxyz with shift'], ['worlencoded messagevtwxyz with shift'], ['helleo'], ['abcdefghijklmnopqrsttupvwxyz'], ['the quick brown fox jumps olazy dog'], ['worello worl dld'], ['abcdefghijklmnopqrsttuvwxhello woéîøühello worldñrldyz'], ['hoello world'], ['évwxyzîøüñ'], ['worldd'], ['worlencoded messagetwxyz with shift'], ['abcdefghijklmnopqrsattupvwxyz'], ['abcworldñrldyz'], ['worello abcdew orl dld'], ['abcdefghijklmnopqrstuvwxyzhelleo'], ['abcwlorldabcdefghijklmnopqrsattupvwxyzñrldyz'], ['the quick brpown fox jumps olazy dog'], ['worello wor'], ['v'], ['worlencoded messagetwxyzt'], ['bdce'], ['worellco abcdew orl dld'], ['helllo'], ['worhello worrldld'], ['worello worl ldld'], ['abcdefghijklworlencoded messagetwxyz with shiftmnopqrsttuvwxyz'], ['abcwlorworello worl ldldghijkltmnopqrsattupvwxyzñrldyz'], ['worencoded message with shifworello worl ldldtld'], ['encoded message wsith sft'], ['abcwlorldabcdenfghijklmnopqrsattupvwxyzñrldyz'], ['vwxyhello woroldz'], ['worellr"}},"a3aba1e37b9bd6f00c72cf37673bdb20"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = []\n    results = []\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(decode_shift)\n\n\n\nprint('___SENTINEL___')\n","a71fbb1fff607414af87857161252196"]
[{"$cut":{"chars":76178,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['abcdef\\nghijklm'], ['fedcba'], ['eeeee'], ['acBAA'], ['EcBOO'], ['ybcd'], ['hello'], ['This is a Test!'], ['i am using python'], ['The quick brown fox jumps over the lazy dog.'], ['This sentence has vowels: aeiou'], ['strawberries and cream'], ['Programming is fun'], ['1234567890'], ['Python is awesome!'], ['How are you today?'], ['This is ai am using python Test!'], ['1234561207890'], ['1234561207890This is ai am using python Test!'], ['Thise sentence haaei:ou'], ['The quick over the This sentence has vowels: aeioulazy dog.'], ['1234567890This sentence has vowels: aeiou'], ['st1234567890m'], ['123456789The quick over the This sentence has vowels: aeioulazy dog.0'], ['Pyt hon is awesome!'], ['1234567890This sesntence has vowels: aeiou'], ['hel'], ['hellhelloo'], ['hel12344567890This sesntence has vowels: aeiou'], ['strawberries and creaPyt hon is awesome!m'], ['This is ahellhellooi am using python Test!'], ['This is a T1234561207890This is ai am using python Test!est!'], ['This sentence has vowels: a'], ['How are youy today?'], ['12345687890'], ['123456789The quick over the This sentence has vowels: aeioulazy dogThis is ai am using python Test!.0'], ['hel1234567890l'], ['12345629890'], ['This sentt!: a'], ['123465687890'], ['123456789The quicThis sentence has vowels: areiouk over t he This sentence has vowels: aeioulazy dog.0'], ['Pyt hon is awmesome!'], ['hel12344567890This sesntehellhelloonce has vowels: aeiou'], ['helloThis is ai am using python Test!'], ['i am using pyt12345687890hon'], ['1234Python is awesome!5629890'], ['Thhel12344567890This sesntehellhelloonce has vowels: aeioue quick brown fox jumps over azy dog.'], ['How are youyHow are you today? today?'], ['hel12344567890This sesntehellhelloonce has vowels: aei123465687890ou'], ['123445691207890'], ['This sent t!: a'], ['Thise ence haaei:ou'], ['This sentence has vowels: aeHow are you today?iou'], ['Progmming is fun'], ['i am usinng python'], ['12314561207890'], ['This senheltence has vowels: aeiou'], ['hel12344567890This sesntehellhelloonce has vowels: iou'], ['This is a T1234561207890This is ai am using pythomn Test!est!'], ['123456789The quick  the This sentence has vowels: aeioulazy dog.0'], ['172345678890'], ['The quick over the This senntence has vowels: aeioulazy dog.'], ['1234456912807890'], ['123456789The quick  sthe This sentence has vowels: aeioulazThis is a T1234561207890This is ai am using python Test!est!y dog.0'], ['This is a Testi!'], ['ProgThise ence haaei:oumming is fun1234567890This sentence has vowels: aeiou'], ['The quick over the This sentence has vowels: aeiouy dog.'], ['1234Python This is a Test!is awesome!5629890'], ['strawberries an12345687890d cream'], ['Ths sent t!: a'], ['Thstrawberriehs an12345687890d c a'], ['Thisa is a Testi!'], ['This is ahellhellooi am This sentence has vowels: ausing python Test!'], ['123140'], ['This is ahellst1234567890mg python Test!'], ['12734567890'], ['How are you t oday?'], ['123445691280789This sentence has vowels: aeHow are you today?iou0'], ['CX'], ['This senheltence has v1234568789s: aeiou'], ['1234656helloThis is ai am using python Test!0'], ['CCX'], ['Progmminig is fun'], ['121234Python This is a Test!is awesome!56298903445691207890'], ['123456121234Python This is a Test!is awesome!562989034456912078901207890'], ['Thisa This is a T1234561207890This is ai am using pythomn Test!est!is a Testi!'], ['1234This sentence has vowels: a561207890This is ai am using p"}},"613a4e065b52fb10f724479503518455"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[''], ['abcdef\\nghijklm'], ['abcdef'], ['aaaaa'], ['aaBAA'], ['zbcd']]\n    results = ['', 'bcdf\\nghjklm', 'bcdf', '', 'B', 'zbcd']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(remove_vowels)\n\n\n\nprint('___SENTINEL___')\n","91cac03dadff3d66b0dddec9c171ea1f"]
[{"$cut":{"chars":22023,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 4, 10], 100], [[1, 20, 4, 10], 5], [[1, 20, 4, 10], 21], [[1, 20, 4, 10], 22], [[1, 8, 4, 10], 11], [[1, 8, 4, 10], 10], [[0, 0, 0, 0], 1], [[1, 3, 5, 7], 10], [[-1, -2, -3, -4], 0], [[2, 4, 6, 8], 7], [[], 5], [[1, 2, 3, 4], 4], [[-4, -3, -2, -1], -5], [[1, 2, 4, 10], 0], [[1, 4, 7, 10], 6], [[3.5, 2.2, 1.1], 5], [[1, 3, 4], 4], [[1, 4, 7, 10], -2], [[1, 4, -4, 7, 10], 6], [[1, 2, 3, -1, 4], 4], [[1, 3, 5, 7, 5], 10], [[4, -4, 7, 10], 6], [[-4, -3, -2, -1], -1], [[1, 4, 7, 10, 7], 6], [[-4, -3, -2, 4, -4], -1], [[1, 2, 3, -1, 4], 5], [[1, 3, 5, 7], 11], [[0, -1, 0, 0, 0], 0], [[1, 4, 7, 9], 10], [[1, 2, -4, 4], 4], [[True, False], 5], [[-1, -2, -4], 0], [[True, False], 4], [[1, 3, 7, 5], 10], [[1, 2, 3, -1, 4, 4], 4], [[1, 3, 10, 4], 5], [[3, 1, 4, 7, 10, 7], 6], [[1.1, 3.5, 2.2, 1.1], 5], [[-4, -3, 4, -4], -1], [[1, 4, 7, 9, 1], 10], [[1, 4, 7, 10, 7], 5], [[3.5, 2.6445924145352944, 2.2, 1.1], 3], [[0, -1, -2, -4], 0], [[1, 3, 7, 5], -3], [[0, 0, 2, 0, 0], 1], [[-1, -2, -4], -4], [[True, False, False], 3], [[1, 3, 7, 5], -1], [[4, -4, 7, 10], -2], [[1, 4, 7, 9], 6], [[7, -2, -3, -3, -4], 0], [[True, False, False], -4], [[3.5, 2.2, 1.1], -4], [[-4, -3, -2, 4], -1], [[1, 2, 3, 4], 1], [[4, -4, 7, 10], 7], [[0, -1, 0, 0, 0], 8], [[1, 2, 5, 3, 4], 4], [[-1, 8, -2, -4, 8], -2], [[1, 3, 7, 5], 8], [[-1, -2, -4], -5], [[2, 4, 6, 8], 6], [[-3, -2, 4], -1], [[1, 4, 7, 9, 1], 11], [[1, 4, 7, 9, 9], 10], [[-2, -4], -4], [[1, 5, 7], 10], [[4, -4, 7, 10, -4], 7], [[1, 3, 4], 2], [[1, -3, 2, 3, 4], 1], [[6, 4, -4, 7, 10], 7], [[3.5, 2.2, 3.5], 5], [[1, 2, -5, -4, 4], 4], [[1, 3, 7, 5], 9], [[-2, -4], -5], [[1, 4, 7, 10, 7], 4], [[True, False, False], 5], [[1, 3, 7, 11], -3], [[-1, 8, -2, 8], -2], [[1, 0, 2, 0, 0], 2], [[-3, -3, -2, 4], -1], [[3.5, 3.5, 2.2, 3.5, 3.5], 5], [[4, -4, -2, 7, 10], 6], [[1, 0, 2, 0, 0], 3], [[1, 2, 3, -1, 4, 4], 5], [[1, 3, 7, 5, 3], 9], [[1, 8, 7, 5], -3], [[-2, -3, -3, -4], 0], [[-3, -2, 4, 4, -2], 0], [[-1, 1, 2, 3, -1, 4, 4], 4], [[3, 5, 7], 11], [[-4, -3, -2, 4], 0], [[-3, -2, 4], 8], [[False, True, False], 4], [[1, 2, -5, -4, 4], 11], [[-4, -3, -2, 4, -2], 1], [[3, 1, 1, 4, 7, 10, 7], 6], [[True, True, True], 4], [[5.5, 6.2, 7.9, 8.1], 9], [[10, 20, -30, 40, -50], 15], [[100, -200, 300, -400, 500, -600], 100], [[1000, 500, 250, 125, 62.5, 31.25], 2000], [[10000000, 9000000, 8000000, 7000000, 6000000, 2000000], 10000001], [[100, 200, 300, 0.1, 0.2, 0.3], 0], [[], 0], [[10000000, 9000000, 10, 8000000, 7000000, 6000000, 2000000], 10000001], [[2000000, 10000000, 9000000, 10, 8000000, 7000000, 6000000, 2000000], 10000001], [[], -1], [[10000000, 9000000, 8000001, 8000000, 7000000, 6000000, 2000000], 10000001], [[], 1], [[10, 20, -30, 40, -50], 20], [[1000, 500, 250, 125, 62.5, 31.25], 125], [[100, -200, 300, -400, 500, -600], 1], [[5.5, 6.2, 7.9, 8.1], 500], [[100, 2000000, 300, -400, 500, -600], 100], [[10000000, 9000000, 8000000, 7000000, 6000000, -200, 10000000], 10000001], [[10, 20, -30, 40, -50], 14], [[100, -200, -400, 500, -600], 8000001], [[5.5, 6.2, 7.9, 8.1], 501], [[2000000, 10000000, 9000000, 10, 8000000, 7000000, 6000000, 2000000, 7000000], 10000001], [[5.5, 6.2, 7.9, 8.1], 10], [[2000000, 10000000, 9000000, 10, 8000000, 6000000, 2000000, 8000000], 10000001], [[], 7000000], [[5.5, 6.2, 7.9, 8.1, 6.2], 10], [[10000000, 9000000, 10000001, 10, 8000000, 6000000, 2000000], 10000001], [[5.5, 6.2, 7.9, 8.1, 6.2, 6.2], 10], [[62.5, 16.953176162073675, 2.9851560"}},"b67c5d781b27308195c5ea0577d17a51"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 4, 10], 100], [[1, 20, 4, 10], 5]]\n    results = [True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(below_threshold)\n\n\n\nprint('___SENTINEL___')\n","f482d8e67a7a6f7fe263f88d8c2402cd"]
[{"$cut":{"chars":42656,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[0, 1], [1, 0], [2, 3], [5, 7], [7, 5], [480, 593], [139, 579], [300, 77], [569, 756], [911, 703], [197, 326], [123, 102], [671, 705], [101, 721], [735, 413], [923, 369], [938, 221], [59, 772], [540, 790], [244, 6], [705, 148], [890, 180], [342, 129], [946, 559], [623, 593], [825, 294], [124, 732], [333, 987], [269, 347], [826, 822], [157, 479], [534, 184], [418, 549], [855, 765], [666, 55], [428, 315], [704, 645], [183, 272], [966, 528], [571, 697], [610, 541], [249, 665], [452, 186], [421, 529], [860, 376], [172, 601], [30, 177], [35, 753], [818, 902], [618, 175], [165, 302], [405, 836], [574, 555], [152, 343], [882, 225], [670, 359], [480, 476], [265, 822], [390, 904], [570, 503], [660, 18], [457, 319], [724, 18], [469, 235], [91, 322], [91, 789], [361, 945], [272, 952], [567, 768], [264, 478], [57, 615], [301, 553], [191, 93], [125, 119], [528, 936], [314, 7], [270, 420], [25, 435], [876, 389], [502, 653], [519, 807], [345, 523], [473, 231], [746, 105], [18, 434], [659, 191], [855, 65], [843, 872], [997, 59], [420, 134], [950, 85], [223, 50], [473, 244], [994, 169], [287, 494], [528, 830], [492, 739], [483, 198], [228, 863], [345, 405], [878, 86], [841, 854], [950, 134], [550, 501], [371, 167], [-2, 3], [0, 0], [-5, -7], [10, -15], [999, 1], [-10, 10], [10000, -1000], [1, -1], [-5, 10], [-100, -250], [-250, -1], [-1, -2], [-6, -5], [-5, -8], [-15, -15], [-15, -250], [-10, -5], [-10, 1], [-1, -1], [-2, -2], [10000, -15], [10, 10], [-15, -2], [-6, -6], [-6, -8], [10000, -16], [-1000, 10], [-3, -2], [-1000, -251], [0, -1], [-3, -3], [-15, -249], [0, -2], [3, 3], [-5, -5], [10000, 1], [-5, 1], [999, -2], [-10, -250], [3, -251], [-16, -249], [-7, -7], [9, -15], [10000, 10000], [1, -3], [-2, -250], [-1, 9], [1, -999], [0, -15], [-7, -15], [-5, -6], [-1, -250], [10000, 999], [-10, -10], [-1, -249], [-16, -16], [0, -250], [1, -251], [-3, -100], [-10, -249], [-101, -251], [10000, -7], [0, 10000], [-998, 10], [-3, -1000], [-101, -15], [-4, -100], [10001, 10000], [8, -998], [-1000, -249], [-4, 0], [-100, -100], [-101, -8], [-250, -250], [-249, -249], [-15, 1], [-249, -5], [-100, 3], [-5, 3], [-101, 3], [-4, -5], [10, -13], [-1000, 8], [-4, -4], [8, 10000], [-2, 10001], [9, -13], [-4, -2], [-249, -10], [0, 10002], [9, -10], [2, -999], [10001, 10001], [8, -15], [10, 1], [-3, 0], [-13, -15], [-1001, -1000], [-100, -101], [8, -249], [-1000000000000000000000, 1000000000000000000000], [1000000000000000000, 999999999999999999999], [123456789098765432101234567890, 98765432101234567890123456789], [-98765432101234567890123456789, -123456789098765432101234567890], [-10, 5], [-99, -99], [10000, -9999], [-100, 1000], [1000000, -999999], [10000, -10000], [98765432101234567890123456789, 999999999999999999999], [123456789098765432101234567891, 98765432101234567890123456789], [1000000000000000000000, 98765432101234567890123456789], [999998, 999999], [999998, 999998], [-10000, 123456789098765432101234567891], [999998, 1000000000000000000], [1000000000000000000, 999998], [1000000000000000000000, 1000000000000000000000], [98765432101234567890123456789, 999999], [1000000000000000000, -123456789098765432101234567890], [999999999999999999999, 999999999999999999999], [-9999, -9999], [0, 999998], [-9999, -99], [98765432101234567890123456789, 5], [999999999999999999999, -123456789098765432101234567890], [-99, 98765432101234567890123456789], [999999999999999999999, 5], [123456789098765432101234567891, 999999], [1000, 1000]"}},"ab77be4adc7523636a5abaeb70e3a86e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[2, 3], [5, 7]]\n    results = [5, 12]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(add)\n\n\n\nprint('___SENTINEL___')\n","88fa9f5383a4403d74f2bd07dcf9f490"]
[{"$cut":{"chars":78945,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['eabcdzzzz', 'dddzzzzzzzddeddabc'], ['abcd', 'dddddddabc'], ['dddddddabc', 'abcd'], ['eabcd', 'dddddddabc'], ['abcd', 'dddddddabcf'], ['eabcdzzzz', 'dddzzzzzzzddddabc'], ['aabb', 'aaccc'], ['ab', 'cd'], ['abcd', 'cbad'], ['aaa', 'aaa'], ['abc', 'def'], ['aaabbbccc', 'abbabcbc'], ['abcdefg', 'gfedcba'], ['abbcccddddeeeee', 'abcde'], ['12345', '54321'], ['hello', 'world'], ['', ''], ['524321', '5432'], ['cdcd', ''], ['aaabbbccc', 'abbbabcbc'], ['abbabcbc', 'abc'], ['123445', '54321'], ['hoelldefo', 'helldefo'], ['aaabbbccc', 'world'], ['adbbcccddddeeeeehelldefo', 'abcde'], ['abcde', 'abcde'], ['abecde', 'abecde'], ['5432cababecdead', 'cababecdead'], ['5432cababecdead', '5432cababecdead'], ['5432caaaababecdead', '5432cababecdead'], ['ab54321fg', 'gfedcba'], ['aaa1234a5bbbccc', 'aaa1234a5bbbccc'], ['123445', '514321'], ['5432caaaabacababecdeadbecdead', '5432cababecdead'], ['ab', 'cbad'], ['abcdegfedcba', 'abcdegfedcba'], ['5432', 'cdcd5432'], ['543543221', 'abcdeadbbcccddddeeeeehelldefogfedcba'], ['5432caaaabacaabcd', 'abcd'], ['abbcccddddeeeee', ''], ['123445', '5143241'], ['5432caaaabacaababbcccddddeeeeecd', 'abcd'], ['llo', 'helleo'], ['123445', ''], ['abcdcb5143241a514321de', 'abcdcbadcbade'], ['abcd', 'aabcdbcd'], ['abcdegfedcba', 'aabcdegfedcba'], ['abcdeadbbcccddddeeeeehelldefogfedcba', '54321'], ['abcdeadbbcccddddeeeeehelabdcba', '54321'], ['cdcd', 'ccd5143241cd'], ['aab', 'cd'], ['aabcdefgb', '12345'], ['abbbabcbc', '1234545'], ['5432', 'abcdegfedcba'], ['aabcdefgb', 'aaa'], ['abcc', 'def'], ['54342', '5432'], ['5432caaaabacababecdeadbecdead', '5432cababecdaabcdefgbead'], ['llohelldefo', 'llo'], ['abcdcb5143241a514321db', 'cd'], ['5432caaaabacaababbcccddddeeeeecd', 'abcabcdcb5143241a514321db'], ['5432', 'cababecdead'], ['abbhelleoc', 'abbhelleoc'], ['cdcd', 'cdcd'], ['aab', '123'], ['5432caaaabacaababbcccddddeeeeecd', 'cabcd'], ['abcdcbadcbade', 'aabcdefgb'], ['5432caaaababecdead', 'aabcdbcd'], ['aaa', 'aaaa'], ['abcdegfedcba', '5432'], ['5432caaaabacaababbcccddddeeeeecd', 'abbabcbc'], ['abcdeadbbcccabcdeadbbcccddddeeeeehelabdcbaa', 'abcdeadbbcccddddeeeeehelldefogfedcba'], ['aabcdcbadcbade', 'aabcdefgb'], ['llaaa1234a5bbbccco', 'llo'], ['aaabbbccc', 'a5432caaaabacababecdeadbecdeadbabcbc'], ['abcdcb5143241a514321de', 'abcdeadbbcccddddeeeeehelabdcbabecde'], ['abde', 'abcde'], ['54321', 'helldefo'], ['5432caaaababecdead', '5432c3ababecdead'], ['abcdcb5143241a514321de', '54321'], ['123454', '1234545'], ['cabbhelleoc', 'ableoc'], ['aabcdefgbcdeadbbcccabcdeadbbcccddddee5432caaaabacaabcdehelabdcbaa', 'abcdeadbbcccabcdeadbbcccddddeeeeehelabdcbaa'], ['abbbcabcbc', '1234545'], ['abc', 'abc'], ['54321', 'abcdeadbbcccddddeeeeehefogfedcba'], ['5432caaaabacaabcd', 'cabcd'], ['cabeoc', 'cabbhelldefeoc'], ['5432caaaabacaababbcccddddeeeeecd', 'cabc'], ['abaabde', 'a5432caaaabacababecdeadbecdeadbabcbc'], ['hlello', 'hlello'], ['5432caaaabacababecdeaadbecdead', '5432cababecdead'], ['abbbabcbc54321', 'abbbabcbc'], ['5432cabecdead', '5432cababecdead'], ['123abde45', '54321'], ['5c432cababecdea', '5c4aabcdcbadcbade32cababecdead'], ['abcabcdcb514324aaa1a514321db', 'abcabcdcb5143241a514321db'], ['5432caaaabacaababhoelldefobcccddddeeeeecd', 'abbaabbbabcbcbcbc'], ['544cbaaaa1234a5bbbcccd32', '544cbad32'], ['abcdcbadcbade', 'abbc'], ['aaabbbccdcd5432cc', 'abbabcbc'], ['aabcdbcd', 'hlello'], ['cd', 'abcd'], ['abbbabcbc', '1234123445545'], ['abcdeadbbcccddddeeeeehelldefogfedcba', 'abbhelleoc'], ['babbabcbc', '54"}},"4f527ca890cc0fe75b91e9e17c017887"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['eabcdzzzz', 'dddzzzzzzzddeddabc'], ['abcd', 'dddddddabc'], ['dddddddabc', 'abcd'], ['eabcd', 'dddddddabc'], ['abcd', 'dddddddabce'], ['eabcdzzzz', 'dddzzzzzzzddddabc']]\n    results = [True, True, True, False, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(same_chars)\n\n\n\nprint('___SENTINEL___')\n","16ffe2cb38773eddb22b5a150cd725f9"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[10], [1], [8], [11], [12], [0], [False], [True], [16], [2], [17], [15], [14], [63], [64], [13], [3], [71], [72], [70], [35], [62], [69], [36], [34], [61], [67], [4], [5], [66], [65], [74], [73], [75], [44], [28], [18], [6], [45], [68], [29], [7], [27], [86], [60]]\n    results = [55, 1, 21, 89, 144, 0, 0, 1, 987, 1, 1597, 610, 377, 6557470319842, 10610209857723, 233, 2, 308061521170129, 498454011879264, 190392490709135, 9227465, 4052739537881, 117669030460994, 14930352, 5702887, 2504730781961, 44945570212853, 3, 5, 27777890035288, 17167680177565, 1304969544928657, 806515533049393, 2111485077978050, 701408733, 317811, 2584, 8, 1134903170, 72723460248141, 514229, 13, 196418, 420196140727489673, 1548008755920]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fib)\n\n\nprint('___SENTINEL___')\n","dd13d6b0ad3a0a7596d7f3d95fd61545"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[10], [1], [8]]\n    results = [55, 1, 21]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fib)\n\n\n\nprint('___SENTINEL___')\n","49c0ab60cb01102af6a50b6f5f9850c6"]
[{"$cut":{"chars":139405,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['<>'], ['<<><>>'], ['<><><<><>><>'], ['<><><<<><><>><>><<><><<>>>'], ['<<<><>>>>'], ['><<>'], ['<'], ['<<<<'], ['>'], ['<<>'], ['<><><<><>><>><<>'], ['<><><<><>><>>><>'], ['><'], ['<<<>>>'], ['><<<>>'], ['<<>>><><><><>>>><'], ['<<><><><>>>><>'], ['<<<'], ['>><<'], ['<><>>>><<<<><>>><<>><>>>><<<<><>>>><<<<><>>>><<<<><>>>><'], ['>>>><<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<'], ['<<>><>'], ['<<<<>><>>><>'], ['<<>>><><><>>>>><'], ['><<><><><>>>><><'], [''], ['<<><<'], ['<<<<<>>><><><>>>>><'], ['<<<<<<<>>><><><>>>>><<'], ['<><>>>><<<<><>>><<>><>>>><<<<><<<<<<<<>>><><><>>>>><<>>>><<<<><>>>><<<<><>>>><'], ['<<<>>>><<><><><>>>>><><'], ['<<<<><<'], ['<>><<<><><><>>>><>'], ['><<<><<><><><>>>><><>>'], ['<<<>'], ['<<>><><<<<><<<'], ['<<>>><><<><><>>>><'], ['<>><><><>>>><>'], ['<<><><>>>><<<<><>>><<>><>>>><<<<><>>>><<<<><>>>><<<<><>>>><<><><>>>><>'], ['>>>><<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<'], ['><<<<>>'], ['>>><<'], ['><<<<<>>'], ['<<><><><>>>>><>'], ['><<><<><><><>>>><><<>>'], ['><<<<<<<><><>>>><<<<><>>><<>><>>>><<<<><>>>><<<<><>>>><<<<><>>>><<><><>>>><>>>'], ['><<<><>'], ['><<<>>>'], ['<><>>>><<<<><>>><<>><>>>><<<<><<<<<<<<>>><><><>>>>><<>><>><<<<><>>>><<<<><>>>><'], ['<<><<<>>><><><><>>>><<'], ['<<><<<'], ['<<><<<>>><><><><>>>>><<'], ['<<><>>>><<<<><>>><<>><>>>><<<<><<<<<<<<>>><><><>>>>>><<>><>><<<<><>>>><<<<><>>>><<<>>><><><>>>>><<'], ['<<<<<<<>>><><><>>>>><<><<><<><><><>>>><><<>>'], ['><<<>><><<<>>'], ['<<<<<<>><>'], ['><<><><><>>>><'], ['<<<>>>><<<><><><>>>>><><'], ['<<<<<<>>><><><>>>>><'], ['><<<><<><><><>>>><><>><<><<'], ['<<<<<>>><><><>>>>>><'], ['>>>><<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<><<<<<<<<<<<'], ['<><<<<><<'], ['><<><<><><>>>><><<>>'], ['<<><><><>>><>'], ['><<><<>><><><>>>><><<>>'], ['<<<<<<<>>><>><><>>>>><<><<><<><><><>>>><><<>>'], ['><<'], ['<<<>>>>><<<><><><>>>>><><'], ['<<<>>>><<<><>><><>>>>><><'], ['<>><><><>>>><<<><><><>>>>><>>'], ['<<<>><<<<<'], ['<<><<><>>>><<<<<>><><><>>><<>><>>>><<<<><>>>><<<<><>>>><<<<><><<><><><>>>>><>>>><<><><><>>><><<<'], ['<<<<><<<<><<<<>>><><><>>>>>><'], ['<<>><<<<<><<<<><<<<>>><><><>>>>>><<<<<<<><><>>>><<<<><>>><<>><>>>><<<<><>>>><<<<><>>>><<<<><>>>><<><><>>>><>>>><>'], ['<<><'], ['<<<>>><>>><<<><><><<>>>>><><<'], ['<<><<<<'], ['<<>>><><><><>>><'], ['<<<><'], ['<<><<<<<'], ['<<>>><><>><><>>><'], ['>>>><<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<'], ['<<<><<<>><'], ['<<>><><><>>>><><<'], ['<<<>>>>>><<<><><><>>>>><><'], ['<<<>>>><<<><><><>>>>>><><'], ['>>><<<<'], ['<<<>>>>>><<<><><><>>>>><><<<>>><><><>>>>><'], ['<><>>>><<<<><>>><<>><>>>><<<<><<<<<<<<>>><><><>>>>><<>><>><<<<><>><'], ['<<>>>><<><>>>><'], ['><<><<>><><><>>>>><><<>>'], ['<<>>><><><>>><<<><<><><><>>>><><>><<><<>>><'], ['<<>><<<<<><<<<><<<<>>><><><>>>>>><<<<<<<><><>>>><<<<><>>><<>><>>>><<<<><>>>><<<<><>>>><<<<><>>>><<<>><><<<>><>>>><>'], ['<<><<<<<>>><><><>>>>><><><><>>>><><<'], ['<<>><<<<<><<<<><<<<><<<>>><>>><<<><><><<>>>>><><<>><><><>>>>>><<<<<<<><><>>>><<<<><>>><<>><>>>><<<<><>>>><<<<><>>>><<<<><>><>><<><><>>>><>>>><>'], ['<<<<>>>><<><><><>>>>><><<<>>>><<<><>><><>>>>><><'], ['<<<><><><>>>><><><<<'], ['><<><><><>>>><><<<<<>>'], ['<<<>>>>'], ['<<<>>><>>><<<><><><<>>>>><<><<>><><><>>>>><><<>>><><<'], ['<<>>><><>><><>><'], ['<<>>>><><<>><<>>><><>><><>><<><>>><'], ['<<<>><>><<<><><><>>>>>><><'], ['><<<<>>><>>><<<><><><<>>>>><<><<>><><><>>>>><><<>>><><<<<<>>'], ['><<><<><><><>>>><<>>'], ['<><><<><<>><><><>>>>><><<>>><<<'], ['<>><<<>><><><<<>>><><<><><>>>><>><"}},"2732836ba050a6b1b8a0cd33e3b83c6e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['<'], ['<>'], ['<<><>>'], ['><<>']]\n    results = [False, True, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(correct_bracketing)\n\n\n\nprint('___SENTINEL___')\n","d7e421279ba7246d3c57f1062c5913a9"]
[{"$cut":{"chars":41333,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 4, 10]], [[1, 2, 4, 20]], [[1, 20, 4, 10]], [[4, 1, 0, -10]], [[4, 1, 1, 0]], [[1, 2, 3, 2, 5, 60]], [[1, 2, 3, 4, 5, 60]], [[9, 9, 9, 9]], [[10, 9, 8, 7, 6]], [[1, 1, 1, 1, 1]], [[-5, -7, -9, -11]], [[1, 1, 2, 3, 3, 3, 4, 5]], [[5, 4, 3, 3, 3, 2, 1, 1]], [[1, 1, 1, 2, 1, 1, 1]], [[1, 1, 1, 1]], [[1, 2, 2, 3]], [[3, 2, 2, 1]], [[1, 3, 2, 4]], [[3, 4, 4]], [[2]], [[5, 1, 1, -7, 1, 5]], [[2, 1, 2]], [[1, 1]], [[1, 1, 1]], [[5, 1, -7, -9, 1, 5, 5]], [[5, 1, -7, -9, 1, 5]], [[10, 9, 8, 6]], [[-5, -7, -9, -9, -11]], [[-7, -9, 1, 5]], [[10, 9, 8, 7, 7]], [[5, 4, 3, 3, 3, 2, 1]], [[5, 1, -9, 1, 5]], [[10, -11, 9, 8, 7, 6, 6]], [[10, 1, 1]], [[5, 1, -10, -7, -9, 1, 2, 5]], [[1]], [[-7, -9, 1, 3, -9, 5]], [[1, 1, 1, 2, 1, 1, 1, 1]], [[7, 1, 1, 1]], [[-7, -9, -11]], [[5, 4, 3, 3, 2, 1]], [[10, 9, 8, 7, 7, 7, 7]], [[5, 1, -10, -9, 1, 2, 5]], [[3, 2, 7, 4, 2]], [[-7, -9, 1]], [[5, 1, -10, 7, -9, 1, 2, 5]], [[3, 2, 6, 7, 2, 6]], [[1, 1, 5, 1, 1, 1]], [[-5, -7, -11, -11]], [[3, 6, 2, 6, 7, 2]], [[5, 4, 3, 3, 3, 2, 4]], [[10, 9, 8, 7, 7, 7, 7, 7]], [[3, 2, 6, 1, 7, 2]], [[1, 1, 1, 1, 2, 1, 1]], [[1, 2, 2, 7]], [[3, -7, -11, -7, -11, -11]], [[1, 1, 1, 2, 2, 1, 1]], [[-5, -9, -11, -11]], [[5, 5, 1, 1, -7, -7]], [[-7, -10, -11]], [[4, 5, 3, 3, 3, 4]], [[1, 0, 1]], [[1, 1, 1, 1, 2, 1, 1, 1]], [[1, 1, 1, 2, 1, 1]], [[2, 5, 4, 3, 3, 3, 2, 1, 1]], [[2, 2]], [[-7, -9, 1, -9, 5]], [[4, 5, 3, 3, 3, 4, 3]], [[5, 3, 3, 3, 3]], [[9, -7, 1]], [[1, 1, 4, 1]], [[1, 1, 1, 2, 1, 3, 1]], [[1, 8]], [[3, 1, 3, 2, 3]], [[5, 4, 6, 3, 2, 2, 1]], [[5, 4, 3, 3, 7, 2, 1]], [[]], [[2, 1, 2, 2, 7, 7]], [[2, 1, 2, 2]], [[5, 4, 3, 1, 1, 3]], [[1, 1, -7, 1, 1, 2, 1, 1, 1]], [[1, 0, 1, 1, 1]], [[5, 1, -7, -9, 1, 6]], [[5, 4, 6, 3, 2, 2, 5, 5]], [[-11, 2, 7, 4, 2]], [[5, 1, -10, 7, -9, 1, 2, 5, 1]], [[10, 10, 8, 0, 7, 7]], [[65.42404804168314, -27.467401242304092, 1.1695217804835494, -88.22454119231631, -43.03246997899461, 6.289214420714728, 62.246881897996445, -27.613728995144186, -89.64771597158368, 91.94959500461121]], [[-11, -7, -9, -11]], [[-5, -9, -11]], [[-11, -7, -9, -11, -11]], [[5, 1, 1, 0, 1, 5]], [[-11, 0, 10, 1, 1, 10]], [[10, 9, 8, 7, 11, 6]], [[9, -7, 1, 9]], [[9, -7, 1, 9, 9, -7]], [[2, -7, -11, -11]], [[11, -7, 1, 1]], [[10, 9, 8, 7, 8, 7, 7, 7]], [[1, 2, 1, -7, 2, 1, 2, 1, 1, 1]], [[1, 1, 1, 1, 1, 1]], [[1, 2, 3, 4, 5, 4, 3, 2, 1]], [[5, 4, 3, 2, 1, 2, 3, 4, 5]], [[1, 3, 5, 4, 4, 6]], [[2, 2, 2, 1, 1, 1]], [[10, 2, 5, 3, 2, 6, 9, 7, 5, 4]], [[2, 2, 1, 1, 1, 1, 4, 4, 4]], [[5, 4, 3, 2, 1, 1, 1, 2, 3, 4, 5]], [[1, 1, 3, 3, 2, 2, 4, 4]], [[-2, -1, 0, 1, 2, 1, 0, -1, -2]], [[1, 3, 4, 5, 4, 3, 2, 1]], [[5, 4, 3, 10, 2, 1, 1, 1, 2, 3, 4, 5, 2]], [[2, 2, 2, 1, -2, 1]], [[1, 1, 3, 3, 2, 2, 4, 5, 4]], [[1, 1, 3, 3, 2, 2, 4, 4, 4]], [[2, 2, 1, 1, 1, 1, 4, 4, 6]], [[2, 2, 1, 1, 2, 1, 1, 4, 4, 4]], [[2, 2, 2, -2, 1]], [[5, 2, 4, 3, 1, 2, 3, 4, 3, 5]], [[2, 2, 1, 1, 2, 1, 1, 4, 4, 4, 1]], [[1, 3, 4, 6, 4, 3, 2, 1, 2]], [[5, 4, 3, 10, 2, 1, 1, 1, 2, 3, 4, 5, 2, 4, 1]], [[5, 4, 10, 2, 1, 1, 1, 2, 3, 4, 5, 2]], [[1, 1, 3, 5, 4, 4, 6]], [[2, 2, 1, 1, 2, 0, 1, 4, 4, 4]], [[1, 3, 4, 6, 4, 3, 2, 1, 2, 1]], [[1, 1, 3, 5, 4, 5, 6, 5]], [[1, 3, 5, 4, 4, 6, 4]], [[2, 2, 2, -2, 1, 1]], [[2, 2, 1, 1, 1, 1, 4, 4, 6, 1]], [[2, 2, 2, -2, 1, 0, 1]], [[10, 3, 5, 3, 2, 6, 9, 7, 5, 4]], [[2, 2, 1, 1, 1, 1, 4, 4, 6, 7]], [[2, 2, 2, 1, -2, 1, 3, 2]], [[1, 3, 4, 5, 4, 3, 2, 1, -1, 5]], [[2, 2, 2, -2, 1, 0, 3, 1]], [[5, 4, 10, 2, 1, 1, 1, 2, 3, 4, "}},"e948d707315f32e43007916a9baf95dd"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 4, 20]], [[1, 20, 4, 10]], [[4, 1, 0, -10]]]\n    results = [True, False, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(monotonic)\n\n\n\nprint('___SENTINEL___')\n","482d68d81dd60336cab4e5547252054e"]
[{"$cut":{"chars":61375,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]], [[5, 3, 2, 8], [3, 2]], [[4, 3, 2, 8], [3, 2, 4]], [[4, 3, 2, 8], []], [[1, 2, 3], [1, 2, 3]], [[], [1, 2, 3]], [[1, 2, 3], []], [[], []], [[1, 1, 2, 2, 3, 3], [2, 2, 3, 3, 4, 4]], [[1, 5, 10], [5, 7, 8]], [[1, 2, 3, 4, 5], [6, 7, 8, 9]], [[1, 1, 2, 3, 3, 3, 4], [1, 3, 5, 6]], [[1, 2, 3, 4], [1, 2, 3, 4]], [[1, 2, 3, 4], []], [['SgmW', 'wdIIZAXJqx', 'sRbO', 'mqbFo', '', 'vZmyAs', 'dajGeqFZ', 'Jr', 'Hv'], [1, 2, 3, 1]], [[1, 2, 3], [1, 2, 3, 4]], [[1, 2], [1, 2]], [[1, 9, 2, 1, 2], [1, 9, 2, 1, 2]], [[1, 2, 3, 4, 4, 5], [6, 7, 8, 9]], [[1, 3], [1, 3]], [[1, 2, 3], [1, 5, 3, 4]], [[2, 2, 3, 3, 4, 4], [2, 2, 3, 3, 4, 4]], [[1, 2, 3], [False, True, False, False]], [[1, 2, 3, 4, 5], [6, 7, 8, 9, 9]], [[1, 5, 3], [5, 7, 8]], [[1, 2, 3, 4, 5], [1, 2, 3, 4, 5]], [[-50, 59, -37, 5], [-50, 59, -37, 5]], [[1, 9, 2, 2, 1, 2], [1, 9, 2, 2, 1, 2]], [[72.37521383648374, 75.77463522981091, -68.50801238200772, -16.457158264907306, -14.710649879972792, -50.826346308865425, 94.08151854781187, 62.25940015569594], []], [[1, 3, 9, 5, 6], [1, 3, 9, 5, 6]], [[5, 1, 2, 3, 4], [5, 1, 2, 3, 4]], [[1, 2, 3], [1, 2, 3, 5]], [[-50, 59, 3, 5], [-50, 59, 3, 5]], [[1, 2, 2, 3, 5, 3, 1, 1], [1, 2, 2, 3, 5, 3, 1, 1]], [[9, 2, 2, 1, 2], [9, 2, 2, 1, 2]], [[1, 5, 3, 4], [1, 5, 3, 4]], [[1, 2, 2, 3, 5, 3, 1], [1, 2, 2, 3, 5, 3, 1]], [[6, 9, 8, 7, 8], [6, 9, 8, 7, 8]], [[1, 2, 59, 3, 4], [1, 2, 59, 3, 4]], [[1, 2, 3, 4, 4, 5, 4], [1, 2, 3, 4, 4, 5, 4]], [[1, 5, 10], [10, 5, 7, 8]], [[-50, 59, 3, 5, 3], [-50, 59, 3, 5, 3]], [[5, 1, 1, 2, 3, 4], [5, 1, 1, 2, 3, 4]], [[5, 1, 2, 3, 4, 4], [5, 1, 2, 3, 4, 4]], [[1, 1, 2, 3, 4, 2], [1, 1, 2, 3, 4, 2]], [[72.37521383648374, 75.77463522981091, -68.50801238200772, -16.457158264907306, -14.710649879972792, -50.826346308865425, 94.08151854781187, 62.25940015569594, -16.457158264907306], [72.37521383648374, 75.77463522981091, -68.50801238200772, -16.457158264907306, -14.710649879972792, -50.826346308865425, 94.08151854781187, 62.25940015569594, -16.457158264907306]], [[1, 4, 10, 10], [1, 4, 10, 10]], [[6, 8, 7, 8], [6, 8, 7, 8]], [[1, 9, 2, 1, 2, 2], [1, 9, 2, 1, 2, 2]], [[6, 9, 8, 7, 7, 3, 8, 9], [6, 9, 8, 7, 7, 3, 8, 9]], [[6, 9, 8, 7, 8, 8], [6, 9, 8, 7, 8, 8]], [[1, 4, 10, 1], [1, 4, 10, 1]], [[1, 59, 5, 4], [1, 59, 5, 4]], [[1, 4, 3, 10, 1], [1, 4, 3, 10, 1]], [[7, 4, 10], [7, 4, 10]], [[1, 3, 1], [1, 3, 1]], [[9, 2, 1, 2, 2], [9, 2, 1, 2, 2]], [[1, 10, 10], [1, 10, 10]], [[1, 5, 59, 3], [5, 7]], [[1, 11], [10, 5, 7, 8]], [[1, 2, 3], [1, 2, 3, 2, 4]], [[1, 59, 2, 3, 5, 3, 1], [1, 59, 2, 3, 5, 3, 1]], [[1, 5], [10, 5, 6, 7, 8]], [[0, 2, 3, 4, 3, 4], [0, 2, 3, 4, 3, 4]], [[1, 4, 10, 10, 4], [1, 4, 10, 10, 4]], [[False, True], [False, True]], [[0, 10, 10], [0, 10, 10]], [[1, 3, 2, 3, 4, 4, 5, 4, 3], [1, 3, 2, 3, 4, 4, 5, 4, 3]], [[1, 5, 2, 3], [1, 5, 2, 3]], [[1, 10, 9, 5, 6], [1, 10, 9, 5, 6]], [[7, 9], [7, 9]], [[1, 5, 2, 59, 3], []], [[True, False, False, False, True, False, False, True, False, True, False], [True, False, False, False, True, False, False, True, False, True, False]], [[1, 10, 5], [1, 10, 5]], [[1, 1, 2, 3, 4, 0, 3, 3, 4], [1, 3, 5, 6]], [[-66.80587176097761, 61.566275072399776, -74.68836438529377, -0.19883232278070295, -0.6234234911641607, -50.826346308865425, -58.86766032411499, 62.25940015569594, 95.27559980134242], []], [[True, False, False, False, True, False, False, True, False, True, False, False], [True, Fal"}},"649815bb15fb43929ae790d84c2f3a40"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]], [[5, 3, 2, 8], [3, 2]]]\n    results = [[1, 5, 653], [2, 3]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(common)\n\n\n\nprint('___SENTINEL___')\n","9c49852f7db097af75002743b7a4ca4f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[15], [27], [63], [330], [13195], [100], [256], [500], [873], [9999], [121], [1764], [4096], [243], [1024], [4097], [1765], [120], [501], [4095], [10000], [255], [1025], [4094], [242], [1763], [254], [9998], [872], [9997], [502], [119], [9996], [874], [253], [252], [1762], [122], [4098], [871], [1023], [9995], [870], [99], [98], [118], [1761], [117], [123], [10001], [87], [92], [869], [1766], [93], [875], [244], [9994], [1767], [1760], [124], [245], [116], [9], [88], [10], [86], [246], [85], [115], [247], [1022], [91], [248], [125], [94], [10002], [249], [1768], [876], [38], [868], [1020], [8], [1026], [90], [866], [39], [867], [9993], [1027], [9992], [1029], [1028], [40], [18], [60], [49], [95], [48], [114], [96], [72], [1030], [9991], [13433], [456745], [568623], [32767], [4], [6], [12], [21], [13432], [13434], [22], [32766], [13435], [20], [456744], [568622], [81], [456743], [456742], [13431], [32765], [80], [456741], [456746], [32764], [32763], [568621], [82], [568624], [32768], [13430], [456740], [13429], [456739], [32762], [32769], [456747], [14], [32761], [32770], [568620], [24], [52], [568625], [51], [456738], [30], [50], [32760], [13428], [13427], [1000000], [16], [25], [13436], [456749], [13437], [26], [456748], [568626], [13438], [13439], [456750], [456751], [456752], [28], [32759], [84], [456753], [65], [64]]\n    results = [5, 3, 7, 11, 29, 5, 2, 5, 97, 101, 11, 7, 2, 3, 2, 241, 353, 5, 167, 13, 5, 17, 41, 89, 11, 43, 127, 4999, 109, 769, 251, 17, 17, 23, 23, 7, 881, 61, 683, 67, 31, 1999, 29, 11, 7, 59, 587, 13, 41, 137, 29, 23, 79, 883, 31, 7, 61, 263, 31, 11, 31, 7, 29, 3, 11, 5, 43, 41, 17, 23, 19, 73, 13, 31, 5, 47, 1667, 83, 17, 73, 19, 31, 17, 2, 19, 5, 433, 13, 17, 3331, 79, 1249, 7, 257, 5, 3, 5, 7, 19, 3, 19, 3, 3, 103, 103, 101, 547, 17231, 151, 2, 3, 3, 7, 73, 2239, 11, 127, 2687, 5, 19031, 284311, 3, 919, 1597, 37, 6553, 5, 2671, 113, 8191, 163, 6389, 41, 5077, 2, 79, 557, 1033, 401, 16381, 331, 152249, 7, 181, 113, 13, 3, 13, 4549, 17, 76123, 5, 5, 13, 373, 463, 5, 2, 5, 3359, 5503, 1493, 13, 1283, 94771, 6719, 151, 29, 691, 28547, 7, 47, 7, 13841, 13, 2]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(largest_prime_factor)\n\n\nprint('___SENTINEL___')\n","52396cf12db6a61d804004ffda9c57a1"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[13195], [2048]]\n    results = [29, 2]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(largest_prime_factor)\n\n\n\nprint('___SENTINEL___')\n","b69a2d626116bf5ae9c5e99463d16b9d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[1], [6], [11], [30], [100], [2], [3], [4], [7], [15], [20], [25], [50], [75], [1000], [14], [5], [16], [26], [92], [19], [93], [94], [999], [51], [17], [21], [22], [8], [74], [52], [23], [91], [76], [24], [90], [18], [13], [27], [998], [55], [65], [66], [73], [89], [56], [57], [997], [996], [77], [28], [87], [88], [72], [54], [53], [86], [85], [78], [67], [29], [58], [79], [995], [49], [71], [994], [59], [37], [80], [48], [47], [38], [64], [60], [992], [40], [993], [81], [12], [84], [39], [9], [63], [10], [83], [62], [991], [61], [36], [45], [35], [68], [990], [1001], [69], [95], [34], [70], [96], [1000000], [500000], [532178], [215], [217], [214], [216], [499998], [532179], [499995], [213], [499997], [499999], [43], [212], [532177], [499996], [999999], [500001], [499994], [1000001], [532180], [999998], [44], [532181], [500002], [42], [1000002], [999997], [218], [532182], [1000003], [46], [1000004], [41], [211], [999996], [532176], [219], [220], [500003], [532183], [499993], [532184], [532175], [500004], [1002], [532174], [210], [209], [499992], [532173], [1003], [532185], [221], [82], [1000005], [1000006], [1004], [1005]]\n    results = [1, 21, 66, 465, 5050, 3, 6, 10, 28, 120, 210, 325, 1275, 2850, 500500, 105, 15, 136, 351, 4278, 190, 4371, 4465, 499500, 1326, 153, 231, 253, 36, 2775, 1378, 276, 4186, 2926, 300, 4095, 171, 91, 378, 498501, 1540, 2145, 2211, 2701, 4005, 1596, 1653, 497503, 496506, 3003, 406, 3828, 3916, 2628, 1485, 1431, 3741, 3655, 3081, 2278, 435, 1711, 3160, 495510, 1225, 2556, 494515, 1770, 703, 3240, 1176, 1128, 741, 2080, 1830, 492528, 820, 493521, 3321, 78, 3570, 780, 45, 2016, 55, 3486, 1953, 491536, 1891, 666, 1035, 630, 2346, 490545, 501501, 2415, 4560, 595, 2485, 4656, 500000500000, 125000250000, 141606977931, 23220, 23653, 23005, 23436, 124999250001, 141607510110, 124997750010, 22791, 124998750003, 124999750000, 946, 22578, 141606445753, 124998250006, 499999500000, 125000750001, 124997250015, 500001500001, 141608042290, 499998500001, 990, 141608574471, 125001250003, 903, 500002500003, 499997500003, 23871, 141609106653, 500003500006, 1081, 500004500010, 861, 22366, 499996500006, 141605913576, 24090, 24310, 125001750006, 141609638836, 124996750021, 141610171020, 141605381400, 125002250010, 502503, 141604849225, 22155, 21945, 124996250028, 141604317051, 503506, 141610703205, 24531, 3403, 500005500015, 500006500021, 504510, 505515]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sum_to_n)\n\n\nprint('___SENTINEL___')\n","0071515817e56ac14a653b3d2f3d317c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[30], [100], [5], [10], [1]]\n    results = [465, 5050, 15, 55, 1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sum_to_n)\n\n\n\nprint('___SENTINEL___')\n","3beb3adef06f42e8d38415d528681019"]
[{"$cut":{"chars":93281,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['()'], ['(()())'], ['()()(()())()'], ['()()((()()())())(()()(()))'], ['((()())))'], [')(()'], ['('], ['(((('], [')'], ['(()'], ['()()(()())())(()'], ['()()(()())()))()'], ['()()()()()'], ['((((()))))'], ['((())))('], [')()()))('], ['((())'], ['(()))()'], ['((()))'], [')()()()'], [')('], [')))))))'], ['((())((())'], [')()()))()()()()()'], ['))('], ['(())))()'], [')()()))()()()())(()'], ['()(()))'], ['((()))()()))()()()())(()'], ['((())))()'], ['(('], ['((()))()(())))'], ['()(((())))()))((())))'], [')()()))()()()())(()((((())((())))())))'], [')()()()()))()()()())(())()'], [')(('], ['(())'], [')(((())'], ['((()(())))'], ['((()))())(())))'], [')()()))()()()())(()((((())((()))))())))'], ['((()(()((())))())))'], [')))('], [')()())()()))()()()()()()'], ['((()))))('], ['))))((((())))()))'], ['((()))))(())))'], [')()()))()()()())(()((((())((())))()()))'], ['()(((()))))'], [')()()))()()(()())()'], [')((()))()()))()()()())(())('], [''], ['((()))((()))))((())))'], [')()()()()'], [')((((()((()))()(()))))'], [')()())()()))()(()()()()()'], ['((()))))(()()()()()))()()()())(())()))))'], ['((())))'], ['()(((())))))'], [')()())()()))()()(((()))()(())))()'], ['())(((()))))'], ['(((())(((()))()())'], [')()()))()()()())((()'], ['((()(())((((())))))'], [')()())))()()()()()'], ['(((()))()('], [')()()))()()()((()))()))(()((((())((())))()()))'], [')((()))()()()))()()(()())()))()())(())('], ['((()()())()()))()()(((()))()(())))())))())(())))'], [')((())))(()()))()()()())(()((((())((())))())()))'], [')()()()((()))((()))))((())))()'], [')((())((())))())))'], ['))))(('], [')()()((())((())))()))))()'], [')(((()))'], [')()()))()()()()()(())))()'], ['((()()())()()()))()()()())(()((((())((())))()))))()))()()(((()))()(())))())))())(())))'], ['(((()))()()(())))'], ['((()))((()())))((())))'], [')()())()()))()(()()()())()'], ['(((()(())((((())))))'], [')()((()))()(())))()()()'], ['((()))((()))))((()))))'], [')((())))(()()))()()(())))(())(()((((())(((((()(())((((())))))))))())()))'], [')()()((())((())))())()'], [')()()))()()()(((()))()))(()((((())((())))()()))'], ['()(())()'], [')())((())))()()))'], [')((())))(()()))()()(())))(())(()((((())(((((()(())(((()))))))())))))))))())()))'], ['((()()()))()()()))()()()())(()((((())((())))()))))()))()()(((()((()))()()))()()()())(()))()(())))())))())((((())))))))'], [')()())())()()()())(()((((())((())))()()))'], ['((()()())()()()))()()()())(()((((())()))))()))()()(((()))()(())))())))())(())))'], ['(((()(())((((()))())))))'], [')()()))()()()((()))())))(()((((())((())))()()))'], ['())()()()()'], ['((())(()())'], ['((()()()))()()()))()()()())(()((((())((()))))()))))()))()()(((()((()))()()))()()()())(()))()(())))())))())((((())))))))'], ['((()))))(()()((()()()))()()()))()()()())(()((((())((())))()))))()))()()(((()((()))()()))()()()())(()))()(())))())))())((((())))))))()()()))()()()())(())()))))'], ['((()))()()))()()()())(()(((()(()((())))())))'], ['()(())))'], ['((()()())()()()))()()()())((()((((())()))))()))()()(((()))()(())))())))())(())))'], [')()()))()()()())(()()())()()))()(()()()())())((((())((())))()()))'], [')()))))))(())((())))())))'], ['))()()))()()(()())()(('], ['((()(()))()'], ['(((())))(()())(())))'], ['))'], ['())()()'], ['()((()()()'], ['((()()()))()()()))()()()())(()((((())((())))()))))()))()()(((()((())))()(())))())))())((((())))))))'], ['()(())()())()()))()()()()()()))'], ['())()()()())()()))()(()()()())())'], [')()()'], ['(()(()(())())()'], ['(((()))())('], ['())(())())(()))"}},"abcbb2859d6e4596f141f52d0ead0c5b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['('], ['()'], ['(()())'], [')(()']]\n    results = [False, True, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(correct_bracketing)\n\n\n\nprint('___SENTINEL___')\n","f2d3a075fb72b200acca434d3610aee2"]
[{"$cut":{"chars":76526,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[3, 1, 2, 4, 5]], [[1, 2, 3]], [[3, 2, 1]], [[3, 2, 1, 0, 4]], [[1]], [[0, 0, 0, 0, 0, 5]], [[1, 0, 0, 0, 0, 0, 0]], [[0, 2, 0, 3, 0, 4, 0, 5]], [[0, 0, 0, 6, 0, 0, 0, 7, 0, 0, 0, 8, 0]], [[0, 0, 0, 0, 0]], [[1, 0, -2, 0, 5, 0, 0, 10]], [[2, 0, 3, 0, 1, 0, 0, -2, 0, 6]], [[1, -1, 1, -1, 1, -1, 1]], [[4, 0, 1, 0, 4]], [[6, 2, 0, 7]], [[0, 0, 0, 0, 0, 0]], [[0, 2, 0, 0, 4, 0, 5]], [[2, 0, 3, 0, 1, 0, 0, -2, 0, 6, 0]], [[0, 0, -1, 0, 0, 0, 0]], [[2, 0, 3, 0, 1, 1, 0, -2, 0, 6, 0]], [[0, 1, 0, 0, 0, 0, 0, 0]], [[4, 0, 1, 0, 4, 0]], [[0, 0, 0, 6, 0, 0, 0, 1, 7, 0, 0, 0, 8, 0]], [[1, 0, -2, 5, 0, 0, 1]], [[0, 0, 0, 6, 0, 0, 0, 0, 1, 7, 0, 0, 0, 8, 0]], [[0, 0, 6, 0, 0, 0, 0, 0, 1, 7, 0, 0, 0, 8, 0]], [[4, 0, 0, 1, 0, 4]], [[0, 0, 0, 0, 0, 0, 5]], [[-1, 4, 0, 0, 1, 0, 4]], [[0, 0, 0, 6, 0, 0, 0, 0, 7, 0, 0, 1, 8, 0]], [[0, 0, 0, -1, 6, 0, 0, 0, 7, 0, 0, 8, 0]], [[2, 0, 0, 0, 5]], [[2, 0, 3, 0, 1, 1, 0, -2, 0, 0]], [[0, 7, -1, 0, 0, 0, 0]], [[6, 2, 7]], [[7, -1, 0, -1, 0]], [[0, 0, 0, -1, 0, 0, 5]], [[7, 0, 7]], [[0, 1, -2, 0, 0, 0, 5, 0]], [[2, -2, 0, 0, 0, 5]], [[0, 0, 0, 6, 0, 0, 0, 0, 7, 0, 0, 1, 8, 0, 0]], [[0, 1, 0, 0, 0, 0]], [[2, 0, 3, 0, 1, 0, 0, -2, 0, 6, 0, 0]], [[1, 0, 1, 0]], [[1, 0, 1, 0, 1]], [[0, 3, 0, 1, 1, -2, 0, 6, 0]], [[4, 0, 1, 8, 0, 4, 0]], [[0, 0, 0, 0, 0, 0, 5, 0]], [[6, 2]], [[7, -1, 8, -1, 0]], [[6, 0, 0, 0, 6, 0, 0, 0, 0, 1, 7, 0, 0, 0, 8, 0]], [[2, 0, 4, 3, -2, 0, 1, 1, 0, -2, 0, 6, 2, 0]], [[8, 4, 0, 0, 1, 0, 4]], [[0, 0, 0, 0, 0, 5, 0, 0]], [[0, 2, 0, 3, 0, 4, 5]], [[2, 0, 3, 0, 1, 1, 1, 0, -2, 0, 6, 0]], [[0, 7, -1, 0, 0, 0]], [[0, 0, 0, 0, 0, 10]], [[2, 0, 3, 0, 1, 1, 1, 0, -2, 0, 6, 0, 0]], [[0, 2, 0, 8, 3, 0, 4, 0, 5]], [[0, -1, 0, 0, 6, 0, 0, 0, 0, 7, 0, 0, 1, 8, 0, 0]], [[0, -1, 0, 0, 6, 0, 0, 0, 0, 7, 0, 1, 8, 6, 0, 0]], [[7, -1, 4, -1, 0]], [[0, 0, 0, 6, 0, 0, 0, 0, 1, 7, 0, 0, 0, 8]], [[7, 4, -1, 0, -1, 0]], [[2, 0, 3, 0, 1, 1, 0, -2, 0, 0, -2]], [[0, 0, 0, 0, 0, 11]], [[7, -1, 0, 6, -1, 0]], [[2, -1, 3, 0, 1, 0, 0, -2, 0, 6, 0, 0]], [[0, 1, 0, 0, 0, 0, 0]], [[1, 0, -2, 0, 5, 0, 10]], [[-1, 0, 1, -1, 1, -1, 1, 1]], [[6, 2, 7, 6]], [[0, 0, 6, 0, 0, 0, 0, 1, 7, 0, 0, 5, 8, 0, 0]], [[2, 0, 3, 0, 1, 1, 6, -2, 0, 0, -2]], [[0, 0, 0, 6, 0, 0, 6, 0, 0, 1, 7, 0, 0, 0, 8]], [[0, 0, 1, 0, 4]], [[0, 0, 6, 0, 0, 0, 0, 1, 7, 0, 0, 5, 8, 0]], [[1, -1, 1, -1, 1, -1, 1, -1]], [[0, 3, 0, 1, 1, 0, 6, 0]], [[0, 1, 6, 4, 0]], [[0, 1, 0, 4]], [[7, 3, -1, 0, 6, -1, 0]], [[0, 1, 6, 4, 0, 0]], [[-2, 0, 1, 0]], [[0, 2, 0, 0, 4, -1, 5]], [[0, 0, -1, 0, 0, 0, 0, 0]], [[7, 11, -1, -1, 0, -1, 0]], [[7, 2]], [[-1, 4, 0, 0, 1, 0, 4, 0]], [[0, 0, 6, 0, 0, 0, 0, 7, 0, 0, 1, 8, 0, 0]], [[-1, 4, 0, 1, 0, 4, 0]], [[8, 0, 0, 0, 6, 0, 0, 6, 7, 0, 0, 1, 7, 0, 0, 0, 8, 7]], [[7, -2, 8, -1, 0]], [[0, 0, 0, 6, 0, 0, 0, 0, 7, 0, 0, 0, 8, 0, 7]], [[0, 3, 3, 0, 5, 1, 1, 0, 6, 0]], [[2, 0, 3, 0, 1, 1, 1, 0, -2, 5, 6, 0, 0]], [[0, 0, 0, 1, 0, 4]], [[8, 0, 0, 0, 6, 0, 0, 6, 7, 0, 0, 1, 7, 0, 0, 0, 8, 7, 0, 8]], [[4, 0, 1, 8, 0, 4, 0, 0]], [[2, 0, 0, 3, 0, 1, 0, 0, -2, 0, 6]], [[3.5, -2.8, 1.1, -4.4, 0]], [[1, -4, 0, 2.5, 6.8, 9, 10.2]], [[0, 0, 0, 0, 0, 0, 1]], [[-1, -2, -3, -4]], [[5, 3, 1, 0, -1, -3, -5, -7, -9]], [[2, 0, 3, 0, 3, 0, 2, 0, 1]], [[1.5, -2, 0, 3.14, -5, 0, 1.2, 0, -4.5, 0, 2]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]], [[10, -25, 0, 63, -40, 0, 10, 0, 5]], [[0, 1, 0, 1, 0, 1, 0, 1, 0, 1]], [[2, 0, 3, 0, 3, 0, 2, 0]], [[0, 0, 0, 0, 0, 0, 1, 1]], [[0, 0, 0, 0, 0, 0, 0, 1]], [[-7, 3, 1, 0, -1, -"}},"088986b51f8014311b5577f3fdc85364"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[3, 1, 2, 4, 5]], [[1, 2, 3]]]\n    results = [[1, 4, 12, 20], [2, 6]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(derivative)\n\n\n\nprint('___SENTINEL___')\n","e1697def2595714fccbd77c8430a4dd8"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[2], [1], [5], [8], [10], [12], [14], [20], [0], [15], [23], [21], [25], [13], [19], [57], [22], [24], [56], [18], [False], [True], [58], [11], [26], [60], [4], [59], [16], [27], [28], [3], [17], [61], [62], [29], [30], [31], [32], [48], [47], [46], [55], [49], [50], [51], [52], [53], [54], [33], [73], [34], [63], [45], [72], [98], [100], [97], [71], [43], [9], [35], [44], [99], [102]]\n    results = [1, 0, 4, 24, 81, 274, 927, 35890, 0, 1705, 223317, 66012, 755476, 504, 19513, 222332455004452, 121415, 410744, 120879712950776, 10609, 0, 0, 408933139743937, 149, 1389537, 1383410902447554, 2, 752145307699165, 3136, 2555757, 4700770, 1, 5768, 2544489349890656, 4680045560037375, 8646064, 15902591, 29249425, 53798080, 922906855808, 501774317241, 272809183135, 65720971788709, 1697490356184, 3122171529233, 5742568741225, 10562230626642, 19426970897100, 35731770264967, 98950096, 3814116544533214284, 181997601, 8607945812375585, 148323355432, 2073693258389777176, 15762679542071167858843489, 53324762928098149064722658, 8569995677610263592944752, 1127444240280152749, 43844049029, 44, 334745777, 80641778674, 28992087708416717612934417, 180396380815100901214157639]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fibfib)\n\n\nprint('___SENTINEL___')\n","92781adc2e884bb7391fa533b4213c81"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1], [5], [8]]\n    results = [0, 4, 24]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fibfib)\n\n\n\nprint('___SENTINEL___')\n","d8e03c31b95060596523c8fb7e55d7ba"]
[{"$cut":{"chars":74006,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['abcde'], ['Alone'], ['key'], ['bye'], ['keY'], ['bYe'], ['ACEDY'], ['hello'], ['apple'], ['time'], ['glue'], ['candy'], ['parody'], ['monkey'], ['why'], ['bay'], ['aeiouy'], ['JBXFOFH'], ['c'], ['aeiouyaeiouy'], ['aeiouoy'], ['applebay'], ['eaeiouy'], ['applebaglue'], ['glumonkeye'], ['ndy'], ['ctieme'], ['wyhy'], ['parpody'], ['apndyple'], ['glumonglluekeye'], ['ctiparpodyecme'], ['aeicouyaeiouy'], ['pplebay'], ['glumonglluekewyhyye'], ['aeiooy'], ['applaebay'], ['bpplebay'], ['bayy'], ['hwhy'], ['aeioyoy'], ['aaappleeioauy'], ['candaeioyoyyndy'], ['candaeioyoyynad'], ['glumonappleglluekeye'], ['aeioowyhyy'], ['cthelloieme'], ['ctiieme'], ['glumonkeyee'], ['aeuyaeibayouy'], ['bcandaeioyoyynadpplebay'], ['eaeiy'], ['aeioappleuyaeiouy'], ['bcandaeioyoeyynadpplebay'], ['aeuyaeibayoyuy'], ['applebaglueaeiye'], ['aeictiemeoappleuyaeiouy'], ['ttimeime'], ['aeiouyaeglumonkeyeiouy'], ['aeioydndyoy'], ['aeioowyhyoy'], ['ahelloaappleeioauy'], ['glumone'], ['aeiyy'], ['gluemone'], ['bcandyndaeioapplebaglueyoyynadpplebay'], ['ctiparpodyaecme'], ['glumoaeioowyhyyne'], ['applebaglueaeiyectiieme'], ['ba'], ['nddy'], ['eaeeiouy'], ['pardy'], ['aba'], ['glumopnappleglluekeye'], ['applebagluyeaeiye'], ['aeicandaeioyoyynadooewyhyy'], ['glumlonkoeaeioowyhyoyyee'], ['aeuyaeeibayouy'], ['teglumonglluekeyeime'], ['cmonkeyandy'], ['candaeioyd'], ['canddaeyd'], ['aeiouwyhyyaeglumonkeyeiouy'], ['cthelloiecanddyndyme'], ['pzUzSiO'], ['aeyaeibayoyuy'], ['aeeyaeibayoyuy'], ['bcandyndaeioapplaebaglueyoyynadpplebay'], ['aeiyycandaeioyoyynad'], ['ctiemictiiemee'], ['aeicandaeioyoyynadooewyhyyaeiouyaeiouypzUzSiO'], ['hKaAyE'], ['canddy'], ['gluemglumlonkoeaeioowyhyoyyeaeiouoye'], ['applaebbaglumonglluekewyhyyey'], ['aeiyycandaeihwhyoyoyynad'], ['applebaglueaeiyectiieeme'], ['aeuyaeiyuy'], ['aeioappleuyaeiiouy'], ['y'], ['applebageluyeaeiye'], ['eapple'], ['ctipttimeimearpodyaeceme'], ['acanddyteglumonapplaebbaglumonglluekewyhyyeyglluekeyeimeeyaeibayoyuy'], ['ctmeimearpodyaeceme'], ['pctiparpodyecmearpody'], ['bcdfghjklmnpqrstvwxyz'], ['aAAaAaaAaaaaa'], ['ABCDEFGHIJKLMNOPQRSTUVWXYZ'], ['AEIOUYXW'], ['cryptography'], ['psychology'], ['dizziness'], ['abstemiousness'], ['facetiousness'], ['bcdfghjklmnpabstemiousnessqrstvwxyz'], ['bcdfghjklmnpabstemiousnessqrstvxyz'], ['aeiouyfacetiousness'], ['asbstemiousness'], ['psypsychology'], ['facetioubcdfghjklmnpqrstvwxyzsness'], ['ABCDEFGHIJKLMNOPQRSTUVWXZ'], ['AEIOUYYXW'], ['cpsychology'], ['cryptograpy'], ['aAEIOUYXWouy'], ['cryptographcy'], ['aeioaAAaAaaAaaaaauyfacetiousness'], ['psypsycfacetioubcdfghjklmnpqrstvwxyzsnesshology'], ['iaeaeiouyfacetiousnessioouy'], ['bcdfgjhjklmnpqrstvwxyz'], ['AEW'], ['cryptogracpy'], ['facetioubcdffghjklmnpqrstvwxyzsness'], ['aAAaAaaAaaa'], ['iaeaeiouyfacetiousnessioAEIOUYYXWouy'], ['aOAEIOUYXWouy'], ['cryptograpyy'], ['psyc'], ['cpsyccryptographyhology'], ['cryptograacpsychologyOAEIOUYXWouycpy'], ['aieiouy'], ['cryptbcdfgjhjklmnpqrstvwxyzograacpsychologyOAEIOUYXWouycpy'], ['aeioaAAaAaaAaaaaauyfacfacetiousnessetiousness'], ['aeioiaeaeiouyfacetiousnessioouyuy'], ['aeiouyfaceftiousness'], ['aeioiaeaeiocpsyccryptographyhologyuyfacetiousnessioouyuy'], ['aAAaaAaaAaaaaa'], ['aoeiouyfaceaeiouyfacetiousnessss'], ['psypsycfacetioubcdfghjklmdizzinessnpqrstvwxyscryptograacpsychologyOAEIOUYXWouycpyhology'], ['aieioABCDEFGHIJKLMNOPQRSTUVWXZuy'], ['dizzinesds'], ['iaeaeiiouyfacetiousnessioouy'], ['aaaAaaa'], ['oaAEIOUYXWouy'], ['cpsbcdfghjklmnpabstemiousnessqr"}},"2e95cea45db9898aaf87a76fb907ab47"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['abcde'], ['ACEDY']]\n    results = [2, 3]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(vowels_count)\n\n\n\nprint('___SENTINEL___')\n","7cd5bb16c0621803835354d7a4812e82"]
[{"$cut":{"chars":34212,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[100, 2], [12, 2], [97, 8], [12, 1], [11, 101], [16, 3], [1234, 6], [341209, 4], [789456123, 10], [500, 4], [345, 1], [86314, 3], [22, 4], [987654321, 9], [777, 10], [23, 789456124], [341209, 3], [341209, 341209], [789456123, 23], [789456122, 789456123], [500, 3], [23, 16], [789456123, 777], [15, 2], [789456122, 789456122], [23, 22], [789456124, 789456124], [2, 3], [10, 6], [2, 345], [789456123, 789456123], [15, 6], [23, 10], [22, 777], [789456124, 3], [3, 3], [789456123, 11], [501, 3], [15, 23], [9, 777], [1, 777], [1235, 23], [15, 9], [341209, 5], [5, 789456123], [499, 3], [1, 776], [12, 4], [341209, 789456124], [776, 23], [10, 1], [2, 777], [3, 2], [14, 14], [341210, 5], [22, 8], [341208, 4], [777, 777], [12, 12], [4, 3], [987654321, 3], [15, 15], [500, 500], [987654321, 987654321], [501, 4], [12, 10], [5, 776], [2, 22], [341208, 345], [15, 1], [3, 341209], [789456124, 341209], [22, 23], [14, 10], [5, 341209], [1234, 10], [22, 5], [6, 776], [8, 8], [11, 10], [1234, 1235], [341208, 10], [789456124, 23], [3, 9], [5, 23], [5, 4], [789456122, 3], [14, 15], [9, 8], [777, 12], [501, 777], [499, 499], [3, 6], [2147483647, 11], [55672, 10], [9999999999, 15], [123456789, 100], [85858585858585858585858585, 26], [123456789987654321, 99], [1234567890, 1000], [0, 1000], [1234567890987654321, 158], [999999999999999999999999999999999999999, 200], [9999999998, 55671], [26, 85858585858585858585858585], [9999999998, 9999999998], [9999999999, 85858585858585858585858585], [1234567891, 1234567890], [85858585858585858585858585, 55671], [123456789, 85858585858585858585858585], [123456789, 123456789], [1000, 1000], [100, 55671], [85858585858585858585858585, 123456788], [158, 25], [27, 85858585858585858585858584], [9999999999, 123456789], [123456789, 123456790], [10000000000, 85858585858585858585858585], [1000, 123456788], [1234567891, 1000], [2147483647, 9999999998], [158, 999999999999999999999999999999999999999], [10000000000, 9999999999], [26, 85858585858585858585858584], [2147483646, 11], [123456789987654321, 1000], [55672, 1000], [10000000000, 10000000000], [99, 1000], [99, 99], [10000000000, 1000], [123456789, 99], [9999999999, 10000000000], [85858585858585858585858585, 85858585858585858585858585], [85858585858585858585858584, 123456789987654322], [999999999999999999999999999999999999999, 99], [1234567890987654321, 98], [1000, 98], [999999999999999999999999999999999999999, 999999999999999999999999999999999999999], [1234567891, 1234567891], [2147483647, 1001], [55672, 26], [1234567890, 123456789], [2147483647, 1234567890987654322], [10000000001, 9999999999], [123456788, 123456789], [99, 85858585858585858585858585], [123456789987654322, 123456789987654322], [9999999998, 1001], [9999999997, 9999999998], [55672, 85858585858585858585858584], [27, 11], [999, 1000], [25, 25], [55672, 25], [1234567890987654322, 1234567890987654322], [9999999999, 9999999998], [199, 200], [157, 25], [9999999999, 9999999999], [2147483648, 11], [159, 158], [100, 100], [1234567891, 85858585858585858585858585], [11, 12], [55674, 24], [1234567890987654321, 100], [26, 26], [2147483648, 1234567890], [123456789987654321, 123456789987654321], [123456789, 1000], [10000000000, 11], [158, 158], [98, 99], [85858585858585858585858585, 25], [98, 25], [1234567890987654321, 1234567890987654321], [100, 85858585858585858585858585], [1000, 28], [55675, 24], [28, 55671], [199, 1234567890987654322], [26, 11], [27, 2147483646], [55672, 1234567890], [24, "}},"203e46ca03eca503fffb7a7fe9ea8c46"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[12, 1], [12, 2]]\n    results = ['21', '12']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(circular_shift)\n\n\n\nprint('___SENTINEL___')\n","b353a9a6e681ac546640eb24d52aafc0"]
[{"$cut":{"chars":164752,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[''], ['abAB'], ['abcCd'], ['helloE'], ['woArBld'], ['aAaaaXa'], [' How are yOu?'], ['You arE Very Smart'], ['123'], ['ABCD'], ['abcd'], ['HELLOworld'], [':;<=>?@[\\\\]^_`{|}~'], ['ABC123def456GHI'], ['  A  B C  D  '], ['UPPER'], ['lowercase'], ['Ab56'], ['lowrcase'], ['ABC123def45l6GHlowrcaseI'], ['1123'], [':;<=>?@[\\\\]^_`{ABC123def456GHI'], ['HELLOworrld'], ['lowercalowercasese'], ['  A  B C  D '], ['  A   B  C  D '], ['1Ab56cacbcd23'], ['HELrLOworrld'], ['1123ABCD'], ['12:;<=>?@[\\\\]^_`{|}~ABC123def456GHI3'], ['Ab556'], ['112lowercalowercasese3'], [':;<=>?@[\\\\]^_`{_|}~'], ['lowercase123'], ['  A   B  C  D 23'], ['  A  C  D '], ['1Ab56caacbcd23'], ['   A  C  D '], ['HELLOworld  A  B C  D  '], ['HELLrOworrld'], ['112lowercalowercasese31123'], ['abcd1123A12:;<=>?@[\\\\]^_`{|}~ABC123def456GHI3BCD'], ['  A   B  C   D '], ['abc1Ab56cacbcd23d'], ['HELrLOworrlHELLOworld'], ['UPPRER'], ['abcd1123A1C123def456GHI3BCD'], ['  A  B CC  D '], [':;<=>?@[]\\\\]^_`{|}~'], ['lowercasese31123'], ['  A  B   A  C  D  C  D  '], ['  A   B C  D '], ['  AHELrLOworrld   B C  D '], ['  A   C  D '], ['abc1Ab56cacd23d'], ['  A   B    A  C  D C  D 23'], ['  A   B       A  B C  D A  C 3'], ['DABCD'], ['  A    A   B C  D B CC  D '], ['abcd1123A12:;<=>?@[\\\\]^_`3{|}~ABC123def456GHI3BCD'], ['lowercalowe1Ab56caacbcd23casese'], ['AB  A  C  D C123def456GHHI'], ['lowrcacse'], [':;<=>?@[]\\\\]^_`{|'], ['  AHELrLOwo  A   B  C  D d   B C  D '], [':;<=>?@[]\\\\]^_`  A  B C  D  {|}~'], ['  :;<=>?@[\\\\]^_`{ABC123def456G  A   B       A  B C  D A  C 3HIA  B C  D '], ['abcd1123A12:;<=>?@[\\\\]^_`3{|}~ABC123def4lowercase56GHI3BCD'], ['ABC123deIf456GHI'], ['  AHELr1123ABCDLO   B C  1D '], [':;<=>?@[\\\\]^:_`{ABC123def=456GHI'], ['  :;<=>?@lC 3HIA  B C  D '], ['112lowercaercasese31123'], ['UPR'], ['alowerwercasese'], ['  AabcdHELr1123ABCDLO   B C  1D '], ['abcd1123A12  A  B C  D  :;<=>?@[\\\\]^_`{|}~ABC123def456GHI3BCD'], ['ABC123def:;<=>?@[\\\\]^_`{|}~456GHI'], [':;<:;<=>?@[\\\\]^:_`{ABC123def=456GHID  {|}~'], [' HELLOworrld A   B  C   D '], ['  AabcdHELr1123ABCDLO   BC  1D '], ['abc1HELLOworrldAb56cacbcd23d'], [':;<=>?@[]\\\\]^_`{  AabcdHELr1123ABCDLO   BC  1D |}~'], ['1Ab56ca1cbcd23'], ['H:;<:;<=>?@[\\\\]^:_`{ABC123def=456GHID  {|}~'], ['  A   B    A  C  D  C  D 23'], ['abcd1123A12:;<=>?@[\\\\]^_ HELLOworrld A   B  C   D `3{|}~ABC123def456GHI3BCD'], ['lowercasese23'], ['  :;<=>?@[\\\\]^_`{ABC123def456G  A   B    A   A  B C  A   B  C  D 23  D A  C 3HIA  B C  D '], ['112lowercalow HELLOworrld A   B  C   D ercasese3'], ['   A abcd C  D '], [':;<:=>?@AB  A  C  D C123def456GHHI6GHI'], ['ABC123deabcd1123A12:;<=>?@[\\\\]^_`3{|}~ABC123def4lowercase56GHI3BCDIf456GHI'], [':;<:;<=>?@[\\\\]^:_`{ABC123def=456GHID  UPPER{|}~'], ['  A   B   A  C  D  C  D  '], ['112lowercalrow HELLOworrld A   B  C   D ercasese3'], ['URPPRER'], ['l    :;<=>?@[\\\\]^_`>{ABC123def456G  A   B       A  B C  D A  C 3HIA  B C  D A   B  C  D 23owercase'], ['  A   B  C   D'], ['12:;<=>?@[\\\\`]^_`{|}~ABC123def456GHI3'], ['  :;<=>?  AabcdHELr1123ABCDLO   BC  1D lC 3HIA  B C  D '], ['lowercalowesle'], ['HELL   A  C  D Oworld'], ['ABC123def1Ab56ca1cbcd23456GHI'], ['ABC123def1Ab56ca1cbcd  AabcdHELr1123ABCDLO   BC  1D 23456GHI'], [':;<=>?@[\\\\]^_`{;_|}~'], ['  A   B    AHELr1123ABCDLO   B C  1D   AAb556'], ['HEL  AHELrLOwo  A   B  C  D d   B C  D LOworld'], ['1A$Bc&Def3@F'], ['Th!s!s$0nly4t3st!ng-1&2%3*4@5_c@5ES.4305t5n5t5v5ff5mm5g55gn5t5Th5t5yn5thy5ht5t5S5t5b5t5m5t5nm5t4K5t5ms5t5m5t5n5t5r5t5s5t5n5n5M5t5s5t5m5t5sn5ST5T"}},"464553ad63b979cfd7ec46c4c43c4594"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[''], ['abAB'], ['abcCd'], ['helloE'], ['woArBld'], ['aAaaaXa']]\n    results = [0, 131, 67, 69, 131, 153]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(digitSum)\n\n\n\nprint('___SENTINEL___')\n","19aa6fec0c8d84c4e05b12f94717fcd3"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['5 apples and 6 oranges', 19], ['5 apples and 6 oranges', 21], ['0 apples and 1 oranges', 3], ['1 apples and 0 oranges', 3], ['2 apples and 3 oranges', 100], ['2 apples and 3 oranges', 5], ['1 apples and 100 oranges', 120], ['10 apples and 20 oranges', 50], ['3 apples and 4 oranges', 9], ['7 apples and 8 oranges', 30], ['2 apples and 0 oranges', 5], ['0 apples and 0 oranges', 10], ['0 apples and 1 oranges', 1], ['10 apples and 0 oranges', 15], ['3 apples and 5 oranges', 12], ['5 apples and 5 oranges', 12], ['8 apples and 2 oranges', 15], ['2 apples and 0 oranges', 12], ['2 apples and 0 oranges', 30], ['0 apples and 0 oranges', 9], ['0 apples and 1 oranges', 50], ['0 apples and 1 oranges', 15], ['0 apples and 1 oranges', 14], ['0 apples and 0 oranges', 30], ['0 apples and 1 oranges', 10], ['0 apples and 1 oranges', 12], ['10 apples and 20 oranges', 30], ['2 apples and 0 oranges', 13], ['3 apples and 4 oranges', 30], ['8 apples and 2 oranges', 10], ['0 apples and 1 oranges', 2], ['10 apples and 20 oranges', 51], ['3 apples and 5 oranges', 10], ['5 apples and 5 oranges', 15], ['0 apples and 1 oranges', 9], ['0 apples and 1 oranges', 8], ['0 apples and 1 oranges', 13], ['0 apples and 0 oranges', 1], ['7 apples and 8 oranges', 15], ['3 apples and 5 oranges', 51], ['3 apples and 4 oranges', 8], ['3 apples and 5 oranges', 13], ['0 apples and 1 oranges', 51], ['2 apples and 0 oranges', 11], ['10 apples and 0 oranges', 30], ['2 apples and 0 oranges', 14], ['0 apples and 0 oranges', 29], ['10 apples and 20 oranges', 52], ['0 apples and 1 oranges', 4], ['2 apples and 0 oranges', 50], ['2 apples and 0 oranges', 51], ['0 apples and 1 oranges', 11], ['5 apples and 5 oranges', 11], ['2 apples and 0 oranges', 52], ['3 apples and 4 oranges', 12], ['3 apples and 4 oranges', 10], ['10 apples and 0 oranges', 29], ['2 apples and 0 oranges', 3], ['2 apples and 0 oranges', 6], ['3 apples and 5 oranges', 9], ['2 apples and 0 oranges', 29], ['2 apples and 0 oranges', 8], ['0 apples and 0 oranges', 12], ['2 apples and 0 oranges', 10], ['3 apples and 5 oranges', 14], ['2 apples and 0 oranges', 9], ['5 apples and 5 oranges', 13], ['0 apples and 0 oranges', 15], ['3 apples and 4 oranges', 13], ['0 apples and 0 oranges', 14], ['0 apples and 0 oranges', 0], ['3 apples and 4 oranges', 50], ['2 apples and 0 oranges', 15], ['10 apples and 5 oranges', 20], ['3 apples and 7 oranges', 15], ['15 apples and 8 oranges', 30], ['24 apples and 18 oranges', 50], ['50 apples and 50 oranges', 100], ['100 apples and 100 oranges', 200], ['1 apples and 99 oranges', 105], ['99 apples and 1 oranges', 105], ['20 apples and 0 oranges', 25], ['1 apples and 99 oranges', 100], ['99 apples and 1 oranges', 104], ['20 apples and 0 oranges', 199], ['50 apples and 50 oranges', 199], ['1 apples and 99 oranges', 199], ['50 apples and 50 oranges', 200], ['20 apples and 0 oranges', 198], ['24 apples and 18 oranges', 105], ['24 apples and 18 oranges', 100], ['99 apples and 1 oranges', 106], ['3 apples and 7 oranges', 20], ['3 apples and 7 oranges', 25], ['1 apples and 99 oranges', 104], ['97 apples and 1 oranges', 198], ['97 apples and 1 oranges', 105], ['20 apples and 0 oranges', 26], ['3 apples and 7 oranges', 198], ['50 apples and 50 oranges', 105], ['20 apples and 0 oranges', 197], ['50 apples and 50 oranges', 106], ['50 apples and 50 oranges', 104], ['15 apples and 8 oranges', 198], ['0 apples and 0 oranges', 11], ['24 apples and 18 oranges', 106], ['1 apples and 99 oranges', 103], ['99 apples and 1 oranges', 103], ['1 apples and 99 oranges', 197], ['99 apples and 1 oranges', 198], ['97 apples and 1 oranges', 200], ['50 apples and 50 oranges', 103], ['0 apples and 0 oranges', 199], ['15 apples and 8 oranges', 26], ['24 apples and 18 oranges', 49], ['15 apples and 8 oranges', 106], ['20 apples and 0 oranges', 99], ['99 apples and 1 oranges', 197], ['3 apples and 7 oranges', 21], ['3 apples and 7 oranges', 103], ['3 apples and 7 oranges', 101], ['24 apples and 18 oranges', 51], ['100 apples and 100 oranges', 201], ['20 apples and 0 oranges', 50], ['99 apples and 1 oranges', 199], ['20 apples and 0 oranges', 200], ['0 apples and 0 oranges', 106], ['97 apples and 1 oranges', 199], ['3 apples and 7 oranges', 16], ['20 apples and 0 oranges', 27], ['50 apples and 50 oranges', 101], ['97 apples and 1 oranges', 100], ['1 apples and 99 oranges', 106], ['0 apples and 0 oranges', 197], ['20 apples and 0 oranges', 107], ['10 apples and 5 oranges', 21], ['1 apples and 99 oranges', 196], ['24 apples and 18 oranges', 104], ['99 apples and 1 oranges', 102], ['20 apples and 0 oranges', 30], ['1 apples and 99 oranges', 101], ['97 apples and 1 oranges', 107], ['50 apples and 50 oranges', 102], ['24 apples and 18 oranges', 99], ['15 apples and 8 oranges', 197], ['97 apples and 1 oranges', 201], ['15 apples and 8 oranges', 105], ['15 apples and 8 oranges', 100], ['15 apples and 8 oranges', 28], ['0 apples and 0 oranges', 198], ['0 apples and 0 oranges', 50], ['24 apples and 118 oranges', 198], ['97 apples and 1 oranges', 103], ['10 apples and 5 oranges', 51], ['20 apples and 0 oranges', 104], ['24 apples and 118 oranges', 199], ['20 apples and 0 oranges', 31], ['15 apples and 8 oranges', 107], ['10 apples and 5 oranges', 30], ['3 apples and 7 oranges', 106], ['20 apples and 0 oranges', 106], ['24 apples and 18 oranges', 48], ['20 apples and 0 oranges', 48], ['1 apples and 99 oranges', 107], ['20 apples and 0 oranges', 101], ['0 apples and 0 oranges', 200], ['15 apples and 8 oranges', 49], ['1 apples and 99 oranges', 198], ['50 apples and 50 oranges', 197], ['10 apples and 5 oranges', 199], ['3 apples and 7 oranges', 197], ['20 apples and 0 oranges', 196], ['3 apples and 7 oranges', 12], ['3 apples and 7 oranges', 26], ['0 apples and 0 oranges', 25], ['3 apples and 7 oranges', 10], ['15 apples and 8 oranges', 199], ['99 apples and 1 oranges', 101], ['10 apples and 5 oranges', 15], ['15 apples and 8 oranges', 196], ['3 apples and 7 oranges', 22], ['97 apples and 1 oranges', 104], ['24 apples and 118 oranges', 196], ['1 apples and 99 oranges', 102], ['97 apples and 1 oranges', 196], ['24 apples and 18 oranges', 98], ['20 apples and 0 oranges', 105], ['20 apples and 0 oranges', 102], ['99 apples and 1 oranges', 200], ['24 apples and 11 oranges', 49], ['97 apples and 1 oranges', 197], ['24 apples and 118 oranges', 197], ['20 apples and 0 oranges', 28], ['0 apples and 0 oranges', 49], ['0 apples and 0 oranges', 99], ['20 apples and 0 oranges', 201], ['3 apples and 7 oranges', 105], ['10 apples and 5 oranges', 28], ['3 apples and 7 oranges', 27], ['3 apples and 7 oranges', 28], ['15 apples and 8 oranges', 104], ['24 apples and 18 oranges', 199], ['15 apples and 8 oranges', 48], ['0 apples and 0 oranges', 20], ['24 apples and 18 oranges', 196], ['24 apples and 18 oranges', 195], ['24 apples and 18 oranges', 103], ['15 apples and 8 oranges', 99], ['3 apples and 7 oranges', 104], ['10 apples and 5 oranges', 27], ['24 apples and 18 oranges', 97], ['99 apples and 1 oranges', 196], ['10 apples and 5 oranges', 101], ['15 apples and 8 oranges', 103], ['24 apples and 11 oranges', 107], ['15 apples and 8 oranges', 108], ['50 apples and 50 oranges', 201], ['10 apples and 5 oranges', 29], ['0 apples and 0 oranges', 105], ['0 apples and 0 oranges', 104], ['10 apples and 5 oranges', 105], ['3 apples and 7 oranges', 17], ['3 apples and 7 oranges', 14], ['10 apples and 5 oranges', 104], ['3 apples and 7 oranges', 29], ['1 apples and 9 oranges', 105], ['15 apples and 8 oranges', 31], ['1 apples and 9 oranges', 31], ['0 apples and 0 oranges', 100], ['3 apples and 7 oranges', 99], ['15 apples and 8 oranges', 32], ['1 apples and 9 oranges', 104], ['1 apples and 9 oranges', 28], ['1 apples and 9 oranges', 49], ['10 apples and 5 oranges', 106], ['3 apples and 7 oranges', 31], ['0 apples and 0 oranges', 31], ['1 apples and 9 oranges', 29], ['0 apples and 0 oranges', 28], ['10 apples and 5 oranges', 19], ['1 apples and 9 oranges', 50], ['99 apples and 1 oranges', 201], ['10 apples and 5 oranges', 22], ['3 apples and 7 oranges', 18], ['1 apples and 9 oranges', 27], ['20 apples and 0 oranges', 100], ['0 apples and 0 oranges', 17], ['0 apples and 0 oranges', 101], ['1 apples and 9 oranges', 14], ['1 apples and 9 oranges', 11], ['0 apples and 0 oranges', 22], ['1 apples and 9 oranges', 101], ['91 apples and 9 oranges', 105], ['10 apples and 5 oranges', 25], ['0 apples and 0 oranges', 16], ['1 apples and 9 oranges', 103], ['3 apples and 7 oranges', 19], ['03 apples and 7 oranges', 19], ['1 apples and 9 oranges', 20], ['10 apples and 5 oranges', 31], ['10 apples and 5 oranges', 16], ['3 apples and 7 oranges', 30], ['0 apples and 0 oranges', 18], ['1 apples and 9 oranges', 26], ['0 apples and 0 oranges', 103], ['1 apples and 9 oranges', 21], ['0 apples and 018 oranges', 103], ['50 apples and 50 oranges', 202], ['10 apples and 5 oranges', 48], ['1 apples and 9 oranges', 10], ['1 apples and 9 oranges', 22], ['10 apples and 5 oranges', 50], ['0 apples and 018 oranges', 105], ['0 apples and 0 oranges', 107], ['0 apples and 018 oranges', 201], ['1 apples and 9 oranges', 19], ['15 apples and 8 oranges', 27], ['1 apples and 9 oranges', 25], ['10 apples and 5 oranges', 18], ['03 apples and 7 oranges', 21], ['10 apples and 5 oranges', 202], ['0 apples and 0 oranges', 13], ['1 apples and 9 oranges', 15], ['0 apples and 0 oranges', 21], ['20 apples and 0 oranges', 29], ['0 apples and 018 oranges', 200], ['0 apples and 018 oranges', 49], ['1 apples and 9 oranges', 201], ['0 apples and 0 oranges', 102], ['0 apples and 018 oranges', 99], ['91 apples and 9 oranges', 103], ['0 apples and 018 oranges', 100], ['99 apples and 1 oranges', 107], ['03 apples and 7 oranges', 20], ['1 apples and 9 oranges', 32], ['0 apples and 018 oranges', 106], ['1 apples and 9 oranges', 13], ['3 apples and 7 oranges', 107], ['15 apples and 8 oranges', 29], ['0 apples and 0 oranges', 48], ['10 apples and 5 oranges', 99], ['03 apples and 7 oranges', 100], ['99 apples and 1 oranges', 108], ['10 apples and 5 oranges', 26], ['91 apples and 9 oranges', 106], ['3 apples and 7 oranges', 202], ['03 apples and 7 oranges', 51], ['0 apples and 018 oranges', 104], ['03 apples and 7 oranges', 18], ['50 apples and 50 oranges', 107], ['10 apples and 5 oranges', 200], ['1 apples and 9 oranges', 12], ['0 apples and 0 oranges', 19], ['1 apples and 9 oranges', 200], ['1 apples and 9 oranges', 18], ['03 apples and 7 oranges', 99], ['1 apples and 9 oranges', 100], ['1 apples and 9 oranges', 48], ['10 apples and 5 oranges', 100], ['91 apples and 9 oranges', 100], ['03 apples and 7 oranges', 98], ['3 apples and 78 oranges', 202], ['03 apples and 7 oranges', 28], ['03 apples and 7 oranges', 52], ['10 apples and 5 oranges', 49], ['03 apples and 7 oranges', 97], ['3 apples and 7 oranges', 51], ['99 apples and 1 oranges', 202], ['0 apples and 0 oranges', 52], ['3 apples and 78 oranges', 99], ['10 apples and 5 oranges', 103], ['15 apples and 8 oranges', 202], ['0 apples and 018 oranges', 20], ['1 apples and 9 oranges', 17], ['020 apples and 018 oranges', 49], ['1 apples and 9 oranges', 99], ['10 apples and 5 oranges', 52], ['03 apples and 7 oranges', 103], ['10 apples and 5 oranges', 17], ['3 apples and 7 oranges', 108], ['3 apples and 7 oranges', 49], ['1 apples and 9 oranges', 16], ['03 apples and 7 oranges', 201], ['1 apples and 9 oranges', 199], ['1 apples and 9 oranges', 30], ['1 apples and 9 oranges', 202], ['100 apples and 100 oranges', 202]]\n    results = [8, 10, 2, 2, 95, 0, 19, 20, 2, 15, 3, 10, 0, 5, 4, 2, 5, 10, 28, 9, 49, 14, 13, 30, 9, 11, 0, 11, 23, 0, 1, 21, 2, 5, 8, 7, 12, 1, 0, 43, 1, 5, 50, 9, 20, 12, 29, 22, 3, 48, 49, 10, 1, 50, 5, 3, 19, 1, 4, 1, 27, 6, 12, 8, 6, 7, 3, 15, 6, 14, 0, 43, 13, 5, 5, 7, 8, 0, 0, 5, 5, 5, 0, 4, 179, 99, 99, 100, 178, 63, 58, 6, 10, 15, 4, 100, 7, 6, 188, 5, 177, 6, 4, 175, 11, 64, 3, 3, 97, 98, 102, 3, 199, 3, 7, 83, 79, 97, 11, 93, 91, 9, 1, 30, 99, 180, 106, 101, 6, 7, 1, 2, 6, 197, 87, 6, 96, 62, 2, 10, 1, 9, 2, 57, 174, 103, 82, 77, 5, 198, 50, 56, 5, 36, 84, 57, 11, 84, 15, 96, 86, 6, 28, 7, 81, 200, 26, 98, 97, 184, 187, 176, 2, 16, 25, 0, 176, 1, 0, 173, 12, 6, 54, 2, 98, 56, 85, 82, 100, 14, 99, 55, 8, 49, 99, 181, 95, 13, 17, 18, 81, 157, 25, 20, 154, 153, 61, 76, 94, 12, 55, 96, 86, 80, 72, 85, 101, 14, 105, 104, 90, 7, 4, 89, 19, 95, 8, 21, 100, 89, 9, 94, 18, 39, 91, 21, 31, 19, 28, 4, 40, 101, 7, 8, 17, 80, 17, 101, 4, 1, 22, 91, 5, 10, 16, 93, 9, 9, 10, 16, 1, 20, 18, 16, 103, 11, 85, 102, 33, 0, 12, 35, 87, 107, 183, 9, 4, 15, 3, 11, 187, 13, 5, 21, 9, 182, 31, 191, 102, 81, 3, 82, 7, 10, 22, 88, 3, 97, 6, 48, 84, 90, 8, 11, 6, 192, 41, 86, 8, 7, 185, 2, 19, 190, 8, 89, 90, 38, 85, 0, 88, 121, 18, 42, 34, 87, 41, 102, 52, 18, 88, 179, 2, 7, 11, 89, 37, 93, 2, 98, 39, 6, 191, 189, 20, 192, 2]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fruit_distribution)\n\n\nprint('___SENTINEL___')\n","bbbe285b7dc072e902924be805271403"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['5 apples and 6 oranges', 19], ['0 apples and 1 oranges', 3], ['2 apples and 3 oranges', 100], ['100 apples and 1 oranges', 120]]\n    results = [8, 2, 95, 19]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fruit_distribution)\n\n\n\nprint('___SENTINEL___')\n","799c05c6824a0d83d4df6c9871d0caaa"]
[{"$cut":{"chars":63633,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[4, 2, 3]], [[1, 2, 3]], [[]], [[5, 0, 3, 0, 4, 2]], [[1, 2, 3, 0, 5, 3]], [[5, 4, 8, 4, 8]], [[7, 6, 7, 1]], [[7, 9, 7, 1]], [[1, 3, 5, 7, 9]], [[2, 2, 2, 2, 2, 2]], [[7, 15, 12, 21, 8, 13]], [[2, 5, 7, 9, 11]], [[0, 0, 0, 0, 0]], [[6, 4, 2, 0, 8, 10]], [[101, 202, 303]], [[6, 4, 2, 0, 8, 10, 1, 3, 5, 7, 9, 11]], [[2, 4, 6, 8]], [[5, 10, 15, 20]], [[2, 2, 2, 2, 2]], [[2, 4, 7, 6, 8]], [[101, 202]], [[1, 3, 5, 9]], [[5, 10, 15, 20, 15]], [[2, 5, 7, 9, 20]], [[6, 5, 2, 0, 8, 11, 1, 101, 5, 7, 9, 11]], [[6, 4, 2, 0, 8, 10, 1, 3, 5, 7, 9, 11, 2]], [[6, 4, 2, 0, 8, 10, 10]], [[7, 15, 12, 21, 8, 14]], [[6, 4, 2, 21, 9, 10, 1, 3, 5, 7, 9, 11, 2]], [[5, 5, 10, 15]], [[1, 3, 5, 9, 1]], [[6, 5, 2, 0, 8, 11, 1, 101, 5, 7, 8, 11]], [[2, 4, 7, 6, 8, 8, 8, 8]], [[2, 5, 11, 7, 9, 11, 2]], [[2, 4, 4, 8]], [[101]], [[5, 10, 15, 20, 15, 10]], [[100, 101]], [[2, 4, 7, 6, 4]], [[2, 4, 7, 4]], [[2, 5, 7, 11]], [[1, 303, 5, 7, 9]], [[5, 10, 15, 9, 20, 15, 10]], [[7, 15, 12, 21, 8, 13, 7]], [[2, 4, 6, 4]], [[6, 6, 4, 2, 0, 8, 10]], [[2, 5, 11, 7, 9, 11, 2, 9]], [[5, 10, 15, 9, 20, 10]], [[202, 6, 4, 2, 9, 0, 8, 10]], [[7, 15, 12, 21, 13, 8, 13, 7]], [[7, 15, 21, 13, 8, 13, 7]], [[1, 303, 5, 7, 9, 5]], [[6, 4, 2, 0, 8, 10, 2, 3, 5, 7, 9, 11, 2]], [[2, 5, 11, 7, 9, 11, 2, 9, 9]], [[2, 3, 6, 8]], [[4, 6, 8, 8, 8, 8]], [[2, 5, 4, 11, 7, 9, 11, 2, 9, 9]], [[5, 10, 16, 9, 20, 10]], [[2, 2, 2, 2, 2, 2, 2]], [[7, 12, 15, 12, 21, 8, 13, 7]], [[7, 15, 12, 21, 8, 13, 7, 15]], [[1, 3, 20, 7, 9]], [[10, 15, 20]], [[21, 2, 5, 7, 9, 20, 5]], [[1, 303, 5, 9]], [[2, 4, 7, 5, 8, 8, 8, 8]], [[2, 5, 11, 7, 16, 11, 2, 9, 9, 11]], [[101, 20, 202]], [[7, 15, 12, 21, 15, 8, 14]], [[7, 12, 21, 13, 8, 13, 7]], [[1, 304, 5, 9]], [[5, 4, 11, 7, 9, 11, 2, 9, 9, 4]], [[5, 11, 7, 9, 11, 2, 9, 9]], [[4, 6, 8, 8, 8, 304, 8]], [[5, 11, 7, 9, 11, 2, 9, 9, 11]], [[5, 10, 9, 20, 10]], [[2, 4, 7, 11, 6, 4]], [[6, 2, 2, 21, 9, 10, 1, 3, 5, 7, 9, 11, 2]], [[1, 3, 5]], [[2, 20, 4, 8]], [[2, 4, 7, 6, 8, 6]], [[5, 10, 15, 9, 20, 21, 10]], [[12, 15, 12, 21, 8, 14]], [[10, 14, 20, 20]], [[5, 100, 10, 15]], [[2, 4, 6, 8, 4]], [[202, 7, 12, 21, 13, 8, 13, 7]], [[6, 6, 4, 0, 8, 10, 8]], [[2, 5, 11, 7, 9, 2, 9, 9, 5]], [[2, 5, 4, 7, 9, 11, 2, 9, 9]], [[2, 3, 6, 4, 2]], [[2, 5, 11, 7, 9, 2, 9, 3, 9, 5]], [[5, 10, 5, 10, 15]], [[6, 5, 2, 0, 8, 11, 1, 101, 5, 7, 8, 11, 8]], [[6, 4, 2, 0, 8, 10, 6]], [[6, 2, 0, 8, 10, 1, 3, 5, 7, 9, 11, 2]], [[12, 21, 13, 8, 13, 7]], [[6, 4, 2, 0, 8, 10, 4, 8]], [[21, 2, 5, 7, 20, 5]], [[2, 2, 5, 10, 7, 9, 11, 2, 9, 9]], [[7, 6, 15, 2, 0, 8, 10, 8]], [[202, 2, 5, 10, 7, 9, 11, 2, 9, 9]], [[7, 1, 21, 13, 8, 13, 7]], [[5, 10, 14, 9, 20, 15, 10]], [[1, 303, 5, 7, 8]], [[10, 15]], [[7, 15, 21, 7, 14]], [[2, 4, 6, 8, 10]], [[0, 1, 2, 5, 7, 9, 10]], [[0, 2, 4, 6, 8, 10, 1, 3, 5, 7, 9]], [[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]], [[10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 1, 10000, 0]], [[3, 3, 3, 3, 3]], [[1, 1, 1, 1, 1, 2, 2, 2, 2, 2]], [[7, 9, 1, 5, 3, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 4, 2]], [[0, 2, 4, 6, 8, 10, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39]], [[2, 4, 6, 8, 2]], [[7, 9, 1, 5, 3, 11, 13, 15, 17, 19, 21, 23, 2"}},"84dd6c156b5feb8250f8a51a6adb387a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[4, 2, 3]], [[1, 2, 3]], [[]], [[5, 0, 3, 0, 4, 2]]]\n    results = [[2, 1], [2, 1], [], [0, 1]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(pluck)\n\n\n\nprint('___SENTINEL___')\n","f4f6e890b5c8f7330211d91e9e8815bd"]
[{"$cut":{"chars":119210,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[5, 5, 5, 5, 1]], [[4, 1, 4, 1, 4, 4]], [[3, 3]], [[8, 8, 8, 8, 8, 8, 8, 8]], [[2, 3, 3, 2, 2]], [[2, 7, 8, 8, 4, 8, 7, 3, 9, 6, 5, 10, 4, 3, 6, 7, 1, 7, 4, 10, 8, 1]], [[3, 2, 8, 2]], [[6, 7, 1, 8, 8, 10, 5, 8, 5, 3, 10]], [[8, 8, 3, 6, 5, 6, 4]], [[6, 9, 6, 7, 1, 4, 7, 1, 8, 8, 9, 8, 10, 10, 8, 4, 10, 4, 10, 1, 2, 9, 5, 7, 9]], [[1, 9, 10, 1, 3]], [[6, 9, 7, 5, 8, 7, 5, 3, 7, 5, 10, 10, 3, 6, 10, 2, 8, 6, 5, 4, 9, 5, 3, 10]], [[1]], [[8, 8, 10, 6, 4, 3, 5, 8, 2, 4, 2, 8, 4, 6, 10, 4, 2, 1, 10, 2, 1, 1, 5]], [[2, 10, 4, 8, 2, 10, 5, 1, 2, 9, 5, 5, 6, 3, 8, 6, 4, 10]], [[1, 6, 10, 1, 6, 9, 10, 8, 6, 8, 7, 3]], [[9, 2, 4, 1, 5, 1, 5, 2, 5, 7, 7, 7, 3, 10, 1, 5, 4, 2, 8, 4, 1, 9, 10, 7, 10, 2, 8, 10, 9, 4]], [[2, 6, 4, 2, 8, 7, 5, 6, 4, 10, 4, 6, 3, 7, 8, 8, 3, 1, 4, 2, 2, 10, 7]], [[9, 8, 6, 10, 2, 6, 10, 2, 7, 8, 10, 3, 8, 2, 6, 2, 3, 1]], [[5, 5, 3, 9, 5, 6, 3, 2, 8, 5, 6, 10, 10, 6, 8, 4, 10, 7, 7, 10, 8]], [[10]], [[9, 7, 7, 2, 4, 7, 2, 10, 9, 7, 5, 7, 2]], [[5, 4, 10, 2, 1, 1, 10, 3, 6, 1, 8]], [[7, 9, 9, 9, 3, 4, 1, 5, 9, 1, 2, 1, 1, 10, 7, 5, 6, 7, 6, 7, 7, 6]], [[3, 10, 10, 9, 2]], [[3, 2, 1, 1, 1, 1, 1]], [[5, 5, 5, 5, 5, 5, 5]], [[2, 2, 2, 2, 2, 2, 2, 2]], [[1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]], [[1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4]], [[2, 2, 2, 2, 2, 2, 2, 2, 2]], [[1, 2, 4, 4, 4, 4]], [[1, 1, 1, 2, 2, 2, 3, 3]], [[5, 5, 5, 4, 3, 5, 5]], [[4, 5, 6, 4, 3, 5, 5]], [[4, 5, 6, 4, 5, 3, 5, 5]], [[1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4]], [[4, 1, 1, 1, 2, 2, 2, 3, 3]], [[1, 2, 3, 4, 5, 6, 7, 8, 6, 9, 10, 1]], [[5, 5, 4, 3, 5, 5]], [[6, 4, 5, 6, 3, 5, 3, 5, 5, 5]], [[1, 8, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 3]], [[4, 5, 4, 3, 5, 8]], [[1, 2, 3, 4, 5, 6, 7, 3, 9, 10]], [[1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 7, 4, 4, 4, 4, 4, 4]], [[1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 7, 4, 6, 4, 4, 4, 4, 4, 3, 1]], [[1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 2]], [[1, 1, 1, 2, 2, 2, 3, 3, 2]], [[2, 1, 1, 1, 1, 1, 1]], [[4, 5, 4, 3, 1, 4, 8]], [[1, 1, 1, 2, 5, 2, 3, 3]], [[1, 2, 3, 4, 5, 6, 7, 4, 10]], [[2, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2]], [[6, 4, 5, 3, 5, 3, 5, 5, 5]], [[1, 2, 2, 2, 2, 2, 2]], [[10, 5, 4, 3, 5, 8]], [[1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4]], [[9, 6, 4, 10, 5, 3, 5, 3, 5, 5]], [[5, 5, 5, 5, 5, 5, 5, 5]], [[2, 2, 2, 2, 2, 2, 2, 2, 2, 2]], [[4, 5, 6, 4, 5, 5]], [[2, 2, 2, 2, 2, 10, 2, 2, 2, 2, 2, 2]], [[1, 1, 1, 2, 2, 2, 3, 3, 4, 7, 4, 4, 4, 4, 4, 4]], [[1, 1, 2, 2, 2, 3, 3]], [[1, 2, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4]], [[10, 9, 7, 6, 5, 4, 3, 1, 1]], [[1, 1, 1, 2, 2, 2, 3, 3, 4, 7, 4, 4, 4, 4, 4, 4, 3]], [[5, 5, 4, 5, 5, 5]], [[5, 5, 5, 4, 3, 5, 4]], [[9, 6, 5, 4, 3, 1, 1]], [[3, 2, 1, 1, 1, 1, 1, 1]], [[2, 4, 4, 4, 4]], [[1, 2, 2, 2, 2, 3, 2, 3]], [[1, 2, 2, 2, 2, 2]], [[4, 5, 4, 3, 1, 4]], [[10, 9, 8, 6, 8, 6, 5, 4, 3, 2, 1]], [[1, 2, 10, 4, 5, 6, 7, 4, 10, 7, 7, 6]], [[3, 1, 1, 1, 2, 2, 2, 3, 3, 4, 7, 4, 1, 6, 4, 4, 4, 4, 4, 3, 1, 3]], [[5, 5, 6, 4, 5, 3, 5, 5]], [[1, 2, 4, 4, 4, 4, 4]], [[1, 1, 1, 2, 2, 2, 3, 3, 4, 7, 4, 4, 4, 4, 4, 4, 3, 4]], [[2, 4, 4, 4, 3]], [[9, 6, 5, 5, 4, 3, 1, 1]], [[5, 5, 3, 4, 3, 5, 5, 5]], [[1, 2, 2, 2, 2]], [[1, 1, 1, 2, 2, 3, 3, 4, 7, 4, 4, 4, 4, 9, 4, 4, 3]], [[10, 5, 5, 4, 3, 5, 8]], [[6, 4, 4, 4, 3]], [[2, 2, 4, 4, 4, 4, 4, 4, 4]], [[1, 2, 10, 8, 5, 6, 7, 4, 10, 7, 7, 6]], [[10, 2, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4]], [[5, 5, 6, 4, 5, 3, 5, 5, 5]], ["}},"a38a0e1a0277789e73ef41d002cd0703"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[4, 1, 2, 2, 3, 1]], [[1, 2, 2, 3, 3, 3, 4, 4, 4]], [[5, 5, 4, 4, 4]]]\n    results = [2, 3, -1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(search)\n\n\n\nprint('___SENTINEL___')\n","a78e2c30330764cc08bb71ed4b4ad7da"]
[{"$cut":{"chars":73920,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4]], [[5, 6, 7, 8, 9]], [[1, 2, 3, 4, 5]], [[5, 6, 7, 8, 9, 1]], [[5, 5, 5, 5]], [[]], [[1, 2, 3, 4, 5, 6, 7, 8]], [[0, 2, 2, 2, 5, 5, -5, -5]], [[111111]], [[-5, 0, 5, 10]], [[10, 9, 8, 7, 6, 5]], [[2, 4, 6, 8, 10, 12]], [[1, 3, 5, 2, 4, 6]], [[100, 200, 300, 150, 75, 35, 10]], [[8, 4, 2, 6, 10]], [[2, 1, 4, 3, 6, 5]], [[-1, 0, 1, 2, 3, 4]], [[8, 8, 8, 8]], [[1]], [[10, 9, 8, 75, 6, 5]], [[-5, 0, 150, 5]], [[10, 9, 8, 150, 6, 5]], [[-5, 0, 5, 10, -5]], [[8, 4, 2, 6, 10, 2]], [[0, 5, 10, -5]], [[1, 3, 5, 2, 4, 6, 2]], [[100, 151, 200, 300, 150, 75, 35, 10]], [[0]], [[-5, 0, 150]], [[-5, 0, 150, 5, 150]], [[4, 10, 9, 75, 5, 5]], [[3]], [[-5, 0, 5, 151]], [[-5, 151, 4, 9, -5]], [[2, 4, 6, 8, 1, 10, 12]], [[-5, 4, 150, 5, 150]], [[100, 200, 300, 150, 75, 35, 10, 300]], [[-5, 151, 4, 9, -5, 151, -5, -5]], [[10, 9, 8, 10, 150, 6, 5]], [[-5, -1, 0, 5, 10, 75, -5]], [[-5, 0, 5]], [[8, 4, 2, 6, 10, 2, 2]], [[10, 9, 8, 10, 150, 6, 5, 8]], [[2, 1, 4, 3, 6, 5, 5]], [[-1, -1, 1, 2, 3, 4]], [[200, 300, 150, 75, 35, 10, 300]], [[-1, 0, 2, 3, 4]], [[10, 9, 8, 10, 150, 6]], [[8, 8, 8]], [[0, 0, 75, 0]], [[200, 300, 150, 35, 100]], [[200, 300, 150, 35, 100, 35]], [[-5, 0, 150, 12, 150]], [[10, 9, 8, 10, 150, 6, 5, 10]], [[10, 9, 8, 10, 149, 3, 5, 10]], [[4, 10, 8, 75, 5, 5]], [[8, 8, 8, 9, 8]], [[8, 8, 8, 8, 149, 8]], [[200, 300, 200, 35, 100]], [[-1, 3, 0, 2, 1, 2, 3, 4]], [[-5, 0, 5, 0]], [[4, -5, 9, 75, 5, 5]], [[0, 5, 9, 10]], [[-5, 4, 35, 150, 5, 150]], [[7, 3]], [[2, 4, 3, 5]], [[100, 151, 200, 300, 150, 75, 35, 101, 10]], [[-5, 1, 5, 0]], [[100, 151, 200, 300, 150, 75, 35, 10, 75]], [[-5, -1, 0, 5, 149, 10, -5]], [[4, 35, 150, 6, 150]], [[-1, 0, 2, 4]], [[4, 3]], [[0, 300, 100, 35]], [[1, 4, 4, 5, 4]], [[100, 200, 300, 9, 150, 75, 35, 10]], [[100, 151, 200, 300, 150, 75, 35, 10, 99, 75, 35]], [[-1, 0, 1, 2, 3, 4, 2]], [[-5, 0, 5, 10, -5, -5]], [[100, 200, 150, 75, 35, 10, 300]], [[8, 8, 149, 8, 8]], [[8, 4, 35, 150, 5, 150, 35]], [[-1, 200, 3]], [[100, 151, 200, 300, 75, 35, 10, 75]], [[-5, 149, 0, 150, 5]], [[-1, 0, 1, 2, 149, 4, 4]], [[-5, 4, 150, 5, 150, 150]], [[8, 4, 35, 150, 5, 149, 35, 35, 5]], [[4, 35, 150, 6, 6, 150]], [[4, 35, 150, 6, 150, 150, 35]], [[8, 8, 8, 9, 8, 8]], [[150, 8, 4, 35, 150, 5, 149, 35, 35, 5, 150]], [[99, 7, 3]], [[-5, 4, 150, 5, 101]], [[100, 200, 300, 150, 75, 35, 301, 10, 75]], [[-5, 0, 5, -1]], [[3, -1, 0, 3]], [[4, 35, 150, 150]], [[-1, 101, 0, 2, 1, 2, 3, 4, 300, 2]], [[8, 4, 35, 150, 149, 35, 35, 5]], [[10, 9, 8, 150, 6, 5, 8]], [[11, 9, 8, 7, 6, 5, 9]], [[-1, -1, 1, 2, 3, 4, 1]], [[4, 35, 5, 6, 150, 150, 35]], [[101, 200, 300, 150, 75, 35, 10, 300, 35]], [[100, 8, 8, 8, 8]], [[100, 200, 299, 150, 75, 35, 10]], [[5, 10, 15, 20, 25, 30]], [[30, 25, 20, 15, 10, 5]], [[10, -5, 0, 15, -10, -15]], [[-15, -10, 0, 10, 15, -5]], [[2, 4, 6, 8, 10, 12, 14, 16]], [[2, 16, 4, 14, 6, 12, 8, 10]], [[-10, 0, 10, 20, 30, 40, 50, 60, 70, 80]], [[-10, 80, 0, 70, 10, 60, 20, 50, 30, 40]], [[3, 2, 1, 4, 7, 6, 5]], [[-1, 0, -3, 5, 3, 2, 1, 10, 7]], [[2, 4, 6, 8, 10, 12, 14, 16, 4]], [[50, -10, 80, 0, 70, 10, 60, 20, 50, 30]], [[30, 25, 21, 15, 10, 5]], [[1, 25, 21, 15, 10, 5]], [[0, 25, 21, 15, 80, 5]], [[-10, 80, 12, 70, 10, 60, 20, 50, 30, 40]], [[7, 2, 16, 4, 14, 6, 12, 8, 10]], [[-10, 80, 12, 70, 10, 60, 20, 50, 49, 51, 40]], [[5, 10, 14, 21, 25, 30]], [[50, -10, 80, 0, 70, 10, 60, 20, 50, 30, 30]], [[7, 2, 16, 7, 4, 14, 6, 12, 8, 10, 6]], [[-10, 80, 0, 70, 10, 60, 50,"}},"2aecd06d94da979f1adcbdba99a5ac35"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4]], [[5, 5, 5, 5]], [[]]]\n    results = [[1, 4, 2, 3], [5, 5, 5, 5], []]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(strange_sort_list)\n\n\n\nprint('___SENTINEL___')\n","eef0e2e289fa64ee143be009e64dd437"]
[{"$cut":{"chars":32120,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[3, 4, 5], [1, 2, 10], [4, 8, 5], [2, 2, 2], [1, 2, 3], [10, 5, 7], [2, 6, 3], [1, 1, 1], [2, 2, 10], [8, 9, 15], [10, 12, 15], [7, 7, 10], [3.6, 4.8, 6.1], [8, 15, 17], [6, 8, 10], [5, 5, 8], [9, 12, 15], [7, 24, 25], [2, 3, 4], [24, 23, 25], [7, 7, 7], [3, 5, 4], [24, 24, 25], [9, 11, 15], [6, 8, 4], [3, 23, 25], [2, 5, 4], [8, 9, 17], [3, 2, 3], [2, 9, 2], [5, 8, 8], [8, 15, 2], [10, 12, 3], [6, 17, 4], [7, 7, 11], [10, 8, 7], [9, 17, 17], [3, 3, 4], [24, 7, 5], [7, 23, 17], [6, 5, 10], [3, 22, 25], [22, 25, 25], [23, 17, 17], [6, 23, 10], [22, 25, 22], [8, 14, 2], [6, 24, 23], [4.8, 7.091641840978975, 6.1], [7, 11, 17], [12, 18, 8], [3, 4, 4], [12, 18, 3], [2, 17, 10], [24, 7, 6], [4, 10, 4], [6, 8, 6], [15, 7, 17], [2, 3, 3], [10, 7, 7], [8, 15, 4], [24, 25, 24], [2, 4, 7], [25, 25, 25], [7, 11, 16], [6, 5, 6], [5, 9, 6], [2, 2, 3], [4, 3, 23], [9, 8, 7], [16, 25, 22], [2, 1, 2], [3, 3, 3], [6, 23, 6], [1, 17, 4], [12, 13, 18], [18, 17, 17], [8, 9, 1], [8, 18, 1], [13, 9, 12], [7, 15, 15], [10, 8, 8], [9, 15, 15], [12, 8, 15], [10, 5, 5], [11, 18, 8], [12, 18, 17], [7, 15, 8], [4.8, 4.8, 4.8], [7, 17, 17], [9, 2, 3], [True, True, True], [8, 17, 8], [6, 17, 22], [9, 1, 7], [9, 8, 10], [6, 5, 5], [4, 15, 2], [25, 11, 15], [15, 1, 15], [5, 5, 10], [16, 1, 15], [6, 13, 6], [5, 5, 5], [3.6, 4.8, 3.961122069986524], [3.961122069986524, 4.8, 4.8], [16, 14, 18], [1, 4, 11], [15, 2, 15], [1, 1, 3], [3, 4, 7], [2, 2, 5], [1.5, 2.5, 3.5], [10000, 10000, 10000], [3, 3, 6], [10, 10, 20], [1.5, 2.4, 3.7], [2, 2, 4], [3, 4, 12], [1.5, 2.4, 2.4], [1, 20, 20], [1.5, 2.4, 1.5], [6, 10, 20], [1, 1, 4], [1.5, 2.243582514020111, 1.5], [1.5, 3.7, 2.4], [2.243582514020111, 3.5, 2.243582514020111], [3, 4, 3], [1.5, 2.5, 2.4], [12, 10, 20], [1.3641985205078329, 1.5, 1.3641985205078329], [10, 6, 20], [1.642992027072514, 2.4, 2.4], [3, 5, 6], [1.642992027072514, 2.5, 3.5], [12, 1, 3], [1, 2, 6], [1.5, 1.5, 1.5], [6, 10, 10], [12, 1, 1], [2.4, 1.4196153211881317, 2.4], [2.5, 4.195352879634535, 2.5], [10000, 11, 12], [5, 4, 6], [1, 10, 20], [4, 3, 10], [10, 6, 19], [4, 20, 4], [3, 5, 10000], [6, 10, 6], [1.5, 4.0558686746888934, 2.4], [12, 10, 7], [5, 12, 5], [4, 4, 20], [1.5, 3.7, 1.6354243288923729], [4, 1, 4], [12, 3, 1], [1, 5, 1], [20, 19, 6], [1.5, 2.1563641569599024, 4.0558686746888934], [2, 4, 2], [3, 10000, 7], [4, 12, 4], [7, 3, 6], [1.5, 1.642992027072514, 1.5], [2.1563641569599024, 1.4196153211881317, 2.4], [12, 10, 1], [11, 6, 19], [9, 6, 20], [12, 12, 3], [6, 4, 6], [1.642992027072514, 3.4498437377515523, 3.5], [6, 20, 20], [19, 12, 10], [5, 4, 4], [4, 10, 6], [6, 10, 21], [1, 21, 1], [1.5, 1.6608803064021642, 3.7], [1.5, 4.0558686746888934, 2.1678576332328428], [5, 11, 12], [10000, 11, 20], [12, 3, 3], [2.262075142531277, 2.1678576332328428, 1.3641985205078329], [4, 7, 4], [3, 12, 6], [6, 3, 3], [1.5, 3.7, 2.148304047537571], [4.0558686746888934, 2.4, 4.0558686746888934], [1.4196153211881317, 2.4, 2.4], [1.6354243288923729, 2.1563641569599024, 2.560595193053081], [1.5, 1.642992027072514, 2.1678576332328428], [10000, 10, 20], [6, 11, 12], [1, 2, 4], [2.33812767354038, 0.7033385138748636, 2.4], [1.5, 1.1510404896538393, 2.243582514020111], [12, 1, 2], [1.5, 2.5, 1.5], [0.8437220480478858, 4.157230829281458, 2.4], [11, 3, 11], [21, 19, 6], [1.5, 2.4430443203125956, 2.0977671953307357], [1.4196153211881317, 1.4196153211881317, 1.4196153211881317], [6, 4, 9], [20, 4, 8], [21, 5, 10], [13, 11, 12], [18, "}},"8aa4da616f399fc8c25708f24991ca59"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3, 4, 5], [1, 2, 10]]\n    results = [6.0, -1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(triangle_area)\n\n\n\nprint('___SENTINEL___')\n","a510a774441d90128d3c76e57bbc756f"]
[{"$cut":{"chars":27429,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[3, 2, 3], 9], [[1, 2], 5], [[3], 5], [[3, 2, 3], 1], [[1, 2, 3], 6], [[5], 5], [[0], 0], [[1, 2, 1], 4], [[2, 3, 2], 7], [[1], 0], [[4, 2, 1, 2, 4], 13], [[4, 2, 1, 2, 4], 12], [[1, 2, 3, 2, 1], 7], [[1, 2, 3], 10], [[1, 2, 3, 2, 1], 10], [[1, 1, 1, 1, 1, 1, 1], 7], [[4, 2, 1, 2, 4, 4], 14], [[1, 0], 0], [[1, 2, 3], 0], [[1, 1, 0], 0], [[7, 2, 3], 0], [[1, 1], 0], [[1, 1], 3], [[1, 0], 7], [[1, 10, 1], 4], [[4, 1, 2, 3], 10], [[4, 2, 1, 2, 4, 4], 7], [[1], 12], [[2, 3, 2], 6], [[0, 1, 1], 3], [[3, 2, 1, 2, 4], 13], [[1], 13], [[1, 10, 1], 5], [[6], 0], [[1, 13, 1, 0], 6], [[1, 2, 3], 1], [[1, 1, 1, 1, 1, 1, 1, 1], 7], [[1, 2, 3, 2, 1], 5], [[1, 2, 1], 3], [[1, 1, 0, 1], 0], [[1, 1, 1, 1, 1, 1], 8], [[], 0], [[1, 2, 13], 0], [[1, 2, 1], 13], [[2, 2], 12], [[1, 2, 3, 2, 1], 4], [[2, 1, 2, 4, 4], 7], [[3, 2, 1, 2, 4], 3], [[3, 2, 1, 2, 4], 7], [[-15, 13, 83, 8], 0], [[1, 1, 1, 1, 1, 1, 1, 2, 1], 7], [[4, 2, 1, 2, 8, 4], 14], [[1], -1], [[1, 2, 13], 83], [[1, -1, 0], 0], [[14, 1], 83], [[1, 2, 3, 1], 1], [[1, 2, 13, 1], 1], [[3, 1, 2, 1, 2, 4], 3], [[4, 2, 1, 2, 8, 4, 1], 14], [[4, 1, 2, 3], 6], [[1, 2, 1], 8], [[2, 3], 0], [[4, 13, 1, 0], 6], [[1, 1], -1], [[], 2], [[2, 2], 2], [[3], -1], [[13, 83, 8], 0], [[2, 2, 2], 12], [[1, 13, 1, 0], 5], [[2], 13], [[1, 1, 1, 1, 1, 1], 7], [[0], 1], [[13, 2, 1], 3], [[1, 10, 1, 1], 4], [[48.77540799744989, -3.8838243003108204, -48.319352731351685], 2], [[2, 3, 2], -1], [[4, 1, 2, 8, 4], 13], [[13, 1], 2], [[48.77540799744989, -48.319352731351685, -3.8838243003108204, -48.319352731351685], 2], [[1, 2, 3], 5], [[1, 1, 0, 0], -15], [[1], 14], [[4, 1, 2, 3], 0], [[1, 10, 1, 1], 83], [[1, 2, 3, 2, 1], 8], [[12, 13, 83, 8], 0], [[7, 2, 2], 12], [[4, 2, 1, 2, 4, 4], 2], [[2, 3, 2], 1], [[3, 1, 2, 1, 2, 4, 2], 3], [[1, 2, 1, 1], 8], [[13, 83, 8], 1], [[4, 1, 13, 1, 0], 6], [[3], 14], [[1, 2, 13, 13], 12], [[14, 1], 82], [[6], -15], [[1, 13, 1, 0], 8], [[1, 1, 1, 1, 1, 1, 1, 1, 1], 7], [[1, 0], -1], [[7, 2], 12], [[4, 1, 2, 3], 1], [[2, 3, 2], -2], [[1, 1, 1, 1, 1], 7], [[1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 1], 20], [[1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 2], 20], [[1, 3, 5, 7, 9, 7, 5, 3, 1], 30], [[2, 4, 6, 8, 10, 12, 14, 16, 18, 20], 20], [[1, 2, 3, 4], 5], [[1, 2, 3, 2, 1, 0], 7], [[1, 2, 3, 4, 5, 6], 6], [[1, 2, 3, 2, 1], 6], [[7], 7], [[1, 2, 3, 2, 1, 0, 1], 7], [[2, 4, 6, 8, 10, 12, 14, 17, 18, 20, 12], 3], [[1, 2, 3, 1, 2, 1, 0, 1], 7], [[1, 2, 3, 2, 1, 0, 1], 8], [[1, 2, 3, 2, 1, 0, 1], 4], [[1, 2, 3, 2, 1, 0, 1, 1], 8], [[1, 2, 3, 4, 5, 6], 1], [[1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 6, 1], 14], [[1, 2, 3, 1, 2, 1, 2, 3, 2, 1, 2, 3, 2, 2, 3], 20], [[1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 6, 1, 2], 14], [[1, 2, 3, 2, 1, 2, 2], 6], [[1, 3, 2, 1, 0], 8], [[1, 2, 2, 1, 0], 7], [[1, 3, 5, 7, 9, 7, 5, 3, 1], 1], [[2, 2, 1], 7], [[1, 5, 2, 3, 4, 5, 6], 1], [[1, 4, 2, 3, 2, 1, 1], 8], [[1, 3, 2, 1, 0, 1], 8], [[1, 4, 3, 3, 2, 1, 1], 8], [[14, 2, 3, 4, 5], 6], [[1, 2, 3, 4, 5, 6], 5], [[1, 3, 1, 5, 7, 9, 7, 5, 3, 1, 5], 8], [[1, 2, 3, 2, 1, 0, 2], 7], [[0, 2, 3, 2, 1, 0, 2], 7], [[1, 2, 3, 2, 1, 0, 1], 9], [[1, 2, 3, 2, 1, 0, 9, 1], 9], [[2, 4, 6, 8, 10, 12, 14, 17, 17, 20, 12], 3], [[1, 2, 3, 2, 1, 2, 3, 2, 1, 2, 3, 2, 2], 21], [[1, 2, 1, 0], 8], [[14, 7], 8], [[1, 2, 3, 4, 5, 6], 4], [[4, 2, 3, 2, 1, 1], 8], [[1, 2, 3, 2, 1, 2, 3, 2, 1, 1, 2, 3, 2, 1, 2], 20], [[1, 3, 5, 7, 9, 7, 5, 3, 1], 5], [[1, 2, 3, 2, 1, 0, 1, 1], 7], [[1, 2, 3, 4, 5, 3], 6], [[1, 2, 3, 5, 6]"}},"bcb1fb128800edd33bb672e8d0197571"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2], 5], [[3, 2, 3], 1], [[3, 2, 3], 9], [[3], 5]]\n    results = [False, False, True, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(will_it_fly)\n\n\n\nprint('___SENTINEL___')\n","4529925c28619914c7a858e10b88a88e"]
[{"$cut":{"chars":78582,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 5, 4, 7, 9, 6]], [[1, 2, 3, 4, 3, 2, 2]], [[1, 4, 2]], [[1, 4, 4, 2]], [[1, 2, 3, 2, 1]], [[3, 1, 1, 3]], [[1]], [[0, 1]], [[1, 2, 3, 4, 5]], [[1, 2, 2, 1]], [[1, 1, 1, 1]], [[1, 2, 3, 4, 4, 3, 2, 1]], [[1, 2, 3, 4, 2, 3, 2, 1]], [[1, 2, 3, 3, 3, 3, 2, 1]], [[1, 2, 3, 2, 2, 2, 2, 1]], [[1, 2, 2, 2, 2, 2, 3, 4]], [[1, 1, 2, 2, 3, 3, 4, 4]], [[5, 4, 3, 2, 1]], [[2, 2, 3, 4, 4, 3, 2, 1]], [[1, 2, 2, 1, 2]], [[1, 2, 2, 2, 1]], [[1, 1, 2, 2, 1, 1]], [[1, 2, 2, 2, 1, 2]], [[1, 1, 2, 3, 4, 5]], [[1, 2, 3, 2, 2, 2, 2, 1, 2]], [[1, 1, 3, 4, 5]], [[1, 1, 5, 2, 1, 1]], [[1, 1, 2, 2, 2, 2, 3, 4]], [[1, 2, 2, 2, 1, 2, 2]], [[5, 4, 2, 1, 1]], [[1, 2, 3, 2, 2, 2, 2, 2, 1, 2]], [[1, 1, 2, 2, 2, 2, 3, 4, 3]], [[5, 5, 3, 2, 1]], [[1, 2, 3, 3, 3, 3, 2, 1, 3]], [[1, 2, 3, 4, 2, 3, 2, 1, 1]], [[1, 3, 3, 4, 1, 5]], [[1, 2, 1]], [[1, 1, 5, 2, 2, 1, 1]], [[1, 2, 3, 2, 2, 2, 2, 2, 2, 1, 2, 2]], [[4, 2, 1, 1, 3]], [[5, 4, 3, 2, 1, 3]], [[1, 1, 2, 2, 1, 2]], [[1, 2, 3, 3, 3, 3, 1, 3]], [[1, 1, 2, 3, 3, 4, 4]], [[1, 2, 3, 4, 4, 2, 3, 2, 1]], [[1, 1, 3, 4, 5, 3]], [[2, 2, 3, 4, 4, 3, 2, 1, 2]], [[1, 2, 3, 2, 2, 2, 2, 1, 2, 2]], [[1, 2, 2, 1, 1]], [[1, 2, 3, 4, 4]], [[1, 2, 3, 4, 4, 2, 3, 2, 1, 3]], [[1, 2, 0, 2, 2, 1, 2]], [[2, 2, 3, 4, 4, 3, 2, 1, 3, 2]], [[1, 1, 2, 3, 4, 5, 3]], [[1, 2, 3, 2, 2, 2, 2, 2, 3]], [[1, 4, 1]], [[1, 2, 3, 4, 4, 3, 2, 1, 1]], [[1, 1, 2, 1]], [[1, 2, 3, 5, 3, 4, 4]], [[1, 2, 2, 2, 2, 1, 2, 2]], [[1, 1, 2, 3, 3, 4, 4, 2]], [[1, 2, 3, 4, 2, 3, 2, 1, 2]], [[1, 2, 3, 4]], [[1, 2, 2, 2, 3, 2, 1, 2, 2, 1, 2]], [[1, 1, 2, 3, 0, 4, 4, 4, 2, 2]], [[1, 2, 3, 2, 2, 2, 2, 2, 1, 3]], [[1, 1, 2, 3, 3, 4, 4, 4, 2]], [[1, 2, 1, 1]], [[1, 1, 5, 2, 2, 1, 1, 5]], [[2, 1, 2, 3, 2, 2, 2, 2, 2, 1, 3, 1]], [[1, 2, 3, 3, 3, 1, 3]], [[1, 2, 3, 4, 2, 4, 3, 2, 1, 2]], [[1, 1, 2, 3, 3, 3, 1, 4, 4, 2]], [[1, 2, 3, 2, 2, 2, 2, 1, 2, 2, 2]], [[1, 2, 3, 4, 2, 3, 1, 1, 2]], [[1, 1, 2, 3, 4]], [[1, 3, 2, 3, 4, 1, 5]], [[3, 5, 5, 3, 3, 2, 1]], [[1, 1, 3, 0, 4, 5]], [[1, 2, 3, 4, 2, 2, 3, 1, 1, 2]], [[1, 1, 2, 3, 3, 4, 4, 2, 4]], [[1, 2, 2, 2, 2, 2, 3, 4, 2]], [[1, 2, 3, 4, 5, 3, 2, 1, 3]], [[2, 2, 3, 4, 4, 3, 2, 1, 1]], [[1, 2, 3, 4, 2, 3, 2, 1, 0, 2]], [[1, 2, 5, 2, 2, 2, 2, 1, 2, 2, 2]], [[1, 2, 3, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2]], [[1, 2, 3, 2, 2, 2, 2, 1, 3]], [[1, 2, 3, 4, 4, 3, 2, 1, 3, 1]], [[5, 4, 2, 0, 2, 1]], [[1, 3, 3, 3, 3, 1, 3]], [[1, 2, 3, 4, 4, 2, 2, 2, 1]], [[4, 2, 1, 1, 3, 3]], [[1, 2, 2, 2, 0, 2, 2]], [[1, 2, 3, 4, 5, 3, 2, 1, 3, 5]], [[1, 1, 5, 2, 3, 1, 1]], [[1, 2, 2, 2, 3, 2, 1, 2, 1, 2]], [[5, 5, 3, 2, 0]], [[4, 2, 1, 1, 3, 2]], [[2, 1, 2, 3, 2, 2, 2, 2, 2, 1, 3, 1, 1]], [[1, 1, 1, 2, 2, 2, 2, 3, 4, 3]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1]], [[1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1]], [[1, 2, 3, 4, 5, 4, 3, 4, 5, 4, 3, 4, 5, 4, 3, 2, 1]], [[1, 2, 3, 4, 5, 3, 2, 1, 1, 2, 3, 4, 5]], [[-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]], [[2, 3, 1, 5, 7, 9, 10, 8, 6, 4]], [[1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]], [[1, 1, 1, 1, 1, 2, 2, 2, 12, 2, 1, 1, 1, 1, 1]], [[1, 1, 1, 1, 2, 2, 2, 12, 2,"}},"afdeedbdc4857cab7a530bd76a7becfe"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 5, 4, 7, 9, 6]], [[1, 2, 3, 4, 3, 2, 2]], [[1, 2, 3, 2, 1]]]\n    results = [4, 1, 0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(smallest_change)\n\n\n\nprint('___SENTINEL___')\n","d6f6d139e984066a4ffe8fde7c932b96"]
[{"$cut":{"chars":191321,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[], []], [['hi', 'admin'], ['hi', 'hi']], [['hi', 'admin'], ['hi', 'hi', 'admin', 'project']], [['4'], ['1', '2', '3', '4', '5']], [['hi', 'admin'], ['hI', 'Hi']], [['hi', 'admin'], ['hI', 'hi', 'hi']], [['hi', 'admin'], ['hI', 'hi', 'hii']], [[], ['this']], [['this'], []], [[''], ['hello']], [['hello', 'world'], ['hi', 'there']], [['coding', 'is', 'fun'], ['coding', 'is', 'awesome']], [['abc'], ['abcdefghijklmnopqrstuvwxyz']], [['happy', 'new', 'year'], ['merry', 'christmas']], [['happy', 'new', 'year'], ['happy', 'new', 'year', '2022']], [['happy', 'birthday', 'sarah'], ['happy', 'birthday', 'sally']], [['cat', 'dog', 'bird'], ['apple', 'banana', 'orange']], [['kevin', 'jessica', 'lucas'], ['adam', 'michael', 'smith']], [['1', '2', '3', '4'], ['one', 'two', 'three']], [['christmas', 'michael', 'smith', 'smith'], ['christmas', 'michael', 'smith', 'smith']], [['coding', 'is', 'fun', 'coding'], ['coding', 'is', 'awesome']], [['coding', 'is', 'codig', 'fun', 'coding'], ['codogding', 'coding', 'is', 'awesome']], [['coding', 'is', 'cocding', 'awesome'], ['coding', 'is', 'cocding', 'awesome']], [['happy', 'birthday', 'one', 'sally'], ['happy', 'birthday', 'one', 'sally']], [['coding', 'is', 'isorange', 'fun'], ['coding', 'is', 'awesome']], [['merdogry', 'merry'], ['merdogry', 'merry']], [['2', 'kevin', 'jessica', 'lucas'], ['adam', 'michael', 'smith']], [['coding', 'is', 'codig', 'fun', 'coding'], ['codogding', 'coding', 'is', 'awesome', 'awesome']], [['hello', 'world'], ['cathi', 'there']], [[''], ['hello', 'hello']], [['coding', 'is', 'awesome', 'is'], ['coding', 'is', 'awesome', 'is']], [['three', '2022', 'dog', 'birbananad'], ['three', '2022', 'dog', 'birbananad']], [['is', 'awesome'], ['is', 'awesome']], [['bananaone'], ['bananaone']], [['cat', 'dog', 'bird'], ['apple', 'aple', 'banana', 'orange']], [['happy', 'birthday', 'sally'], ['happy', 'birthday', 'sally']], [['cathi', 'there', 'chathi', 'there'], ['cathi', 'there', 'chathi', 'there']], [['happy', 'birthday', 'merry', 'one', 'sally'], ['happy', 'birthday', 'merry', 'one', 'sally']], [['lly', 'birhday', 'happy', 'birthday', 'sally', 'sally'], ['lly', 'birhday', 'happy', 'birthday', 'sally', 'sally']], [['kevin', 'jessica', 'lucas'], ['kevin', 'jessica', 'lucas']], [['happy', 'sally'], ['happy', 'sally']], [['allyc', 'abc'], ['abcdefghijklmnopqrstuvwxyz']], [['happy', 'sally', 'happy'], ['happy', 'sally', 'happy']], [['coding', 'codinghello', 'is', '2', 'is'], ['coding', 'codinghello', 'is', '2', 'is']], [['cathi', 'there', 'ccathi', 'chathi', 'chathi'], ['cathi', 'there', 'ccathi', 'chathi', 'chathi']], [['kevin', 'jessica', 'lucas'], ['adam', 'dogmichael', 'smith']], [['cahi', 'there', 'chathi', 'there', 'hcahi'], ['cahi', 'there', 'chathi', 'there', 'hcahi']], [['allyc', 'ab', 'abc'], ['abcdefghijklmnopqrstuvwxyz']], [['awesome', 'is'], ['awesome', 'is']], [['2', 'kevin', 'jessica', 'lucas'], ['michael', 'smith']], [['world'], ['there']], [['happy', 'birthday', 'merry', 'one'], ['happy', 'birthday', 'merry', 'one']], [['alucaspple', 'banana', 'orange'], ['alucaspple', 'banana', 'orange']], [['happy', 'new', 'year', '2022'], ['happy', 'new', 'year']], [['sally'], ['sally']], [['cahi', 'there', 'chathi', 'there', 'hcahi', 'hcahi'], ['cahi', 'there', 'chathi', 'there', 'hcahi', 'hcahi']], [['coding', 'is', 'codig', 'fun', 'coding', 'codig', 'is'], ['coding', 'is', 'codig', 'fun', 'coding', 'codig', 'is']], [['happy', 'birthday', 'cath"}},"8a87e4c49911c5a2bdbbb0a40de02c1c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[], []], [['hi', 'admin'], ['hI', 'Hi']], [['hi', 'admin'], ['hi', 'hi', 'admin', 'project']], [['hi', 'admin'], ['hI', 'hi', 'hi']], [['4'], ['1', '2', '3', '4', '5']]]\n    results = [[], ['hI', 'Hi'], ['hi', 'admin'], ['hI', 'hi', 'hi'], ['4']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(total_match)\n\n\n\nprint('___SENTINEL___')\n","b2d0a3b69033ab271c2f53e116e536e4"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5], [30], [8], [10], [33], [49], [77], [91], [99], [6], [90], [98], [25], [21], [48], [20], [22], [32], [26], [78], [19], [47], [31], [29], [-98], [-37], [-38], [28], [18], [23], [-92], [-2], [57], [-99], [58], [56], [-1], [92], [1], [-80], [34], [-75], [-100], [-95], [16], [-94], [17], [59], [-7], [93], [-82], [-15], [-81], [-96], [-74], [2], [3], [7], [97], [42], [-101], [43], [44], [45], [-56], [60], [-55], [46], [62], [55], [61], [41], [40], [-57], [63], [-102], [52], [-72], [-97], [94], [12], [89], [53], [0], [64], [-58], [65], [-71], [95], [35], [-70], [96], [-59], [15], [-33]]\n    results = [False, True, True, False, False, False, False, False, True, False, False, True, False, False, False, True, False, False, False, True, False, False, False, False, False, False, False, True, True, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, True, True, False, False, False, False, False, False, False, False, False, False, True, False, True, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_multiply_prime)\n\n\nprint('___SENTINEL___')\n","d8ef5b735caf301d18a33da7994dd956"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[30]]\n    results = [True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_multiply_prime)\n\n\n\nprint('___SENTINEL___')\n","18dcb4ea0789af319053a99d3de5fbec"]
[{"$cut":{"chars":21978,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[16, 2], [143214, 16], [4, 2], [9, 3], [16, 4], [24, 2], [128, 4], [12, 6], [1, 1], [1, 12], [25, 5], [81, 3], [64, 4], [36, 6], [10, 2], [20, 5], [15, 3], [35, 5], [49, 7], [125, 5], [5, 5], [23, 5], [25, 23], [23, 2], [21, 2], [6, 5], [6, 7], [81, 6], [64, 6], [2, 2], [2, 5], [23, 23], [25, 6], [82, 3], [82, 7], [81, 81], [10, 3], [36, 5], [15, 23], [7, 15], [82, 2], [10, 81], [49, 8], [81, 7], [21, 35], [20, 23], [81, 25], [35, 35], [81, 5], [83, 4], [64, 21], [23, 81], [64, 64], [49, 82], [8, 6], [4, 5], [125, 2], [82, 1], [8, 64], [11, 23], [49, 4], [11, 7], [125, 6], [24, 25], [64, 5], [5, 4], [20, 19], [15, 15], [82, 5], [4, 4], [11, 11], [25, 25], [24, 10], [3, 10], [23, 15], [82, 82], [11, 10], [80, 81], [3, 2], [36, 36], [8, 5], [5, 6], [35, 49], [6, 6], [19, 5], [8, 49], [49, 49], [37, 6], [3, 4], [65, 64], [6, 81], [37, 15], [65, 5], [10, 11], [82, 65], [82, 23], [24, 23], [66, 65], [10, 10], [7, 11], [7, 25], [4, 24], [49, 3], [84, 84], [2187, 3], [8192, 4], [16777216, 4], [1099511627776, 2], [4722366482869645213696, 6], [27, 3], [243, 3], [245, 5], [65536, 2], [245, 27], [2188, 3], [4722366482869645213696, 4722366482869645213696], [245, 245], [2188, 2189], [4, 3], [2189, 2189], [4, 65536], [243, 2], [65537, 65536], [2189, 2188], [2, 6], [2187, 2189], [245, 244], [81, 2188], [16777216, 16777217], [5, 27], [243, 6], [82, 245], [3, 3], [4, 16777217], [245, 16777217], [2188, 2188], [81, 16777217], [243, 4], [245, 2188], [242, 16777216], [3, 65537], [2188, 16777216], [246, 5], [242, 1099511627776], [240, 240], [1099511627776, 2187], [2188, 2], [3, 65536], [243, 16777217], [16777217, 81], [242, 242], [6, 4722366482869645213696], [16777217, 16777216], [243, 243], [26, 27], [4722366482869645213696, 1099511627776], [4722366482869645213695, 4722366482869645213696], [245, 16777216], [2, 81], [4722366482869645213695, 4], [4, 2187], [65536, 65536], [4, 16777216], [82, 246], [16777217, 16777217], [3, 5], [65537, 5], [27, 246], [2188, 16777217], [82, 4722366482869645213696], [4722366482869645213696, 1099511627777], [4722366482869645213695, 4722366482869645213695], [2187, 244], [65537, 245], [16777216, 16777216], [4722366482869645213695, 4722366482869645213697], [65536, 65537], [4722366482869645213696, 4722366482869645213695], [243, 242], [2187, 1099511627776], [2189, 3], [1099511627775, 1099511627775], [246, 246], [65537, 3], [240, 16777216], [1099511627776, 242], [16777215, 16777216], [4722366482869645213696, 65537], [246, 245], [81, 246], [8192, 27], [16777215, 245], [16777216, 240], [246, 65536], [2187, 245], [244, 1099511627776], [5, 1], [65537, 6], [65537, 65537], [4, 1099511627775], [2, 16777217], [2188, 2187], [1099511627776, 1], [2, 4722366482869645213695], [240, 2188], [27, 16777217], [82, 4722366482869645213697], [1099511627776, 1099511627777], [4722366482869645213695, 2188], [1099511627775, 1099511627776], [2187, 2188], [1099511627775, 244], [244, 244], [246, 243], [2187, 2187], [1099511627775, 5], [4, 246], [16777215, 4], [2186, 2187], [1099511627777, 2187], [16777216, 27], [2186, 2186], [65537, 1099511627776], [2187, 16777216], [246, 16777217], [65538, 65536], [1099511627777, 3], [80, 2188], [27, 245], [83, 82], [3, 4722366482869645213695], [247, 246], [1099511627777, 4722366482869645213696], [83, 81], [4722366482869645213697, 4722366482869645213695], [5, 245], [247, 247], [246, 247], [81, 4722366482869645213696], [1, 4], [243, 65536], [244, 27], [246, 2189], [2187, 16777215], "}},"97d4469bad64e2cca0f72384f1414140"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1, 4], [2, 2], [8, 2], [3, 2], [3, 1], [5, 3]]\n    results = [True, True, True, False, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_simple_power)\n\n\n\nprint('___SENTINEL___')\n","e6e388476f48ba5a2672dbeb67fdf8c5"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[1], [2], [-1], [64], [180], [1000], [0], [1729], [1728], [-8], [27], [125], [729], [512], [-27], [-64], [1000000], [-1000000], [120], [57], [-63], [510], [728], [999999], [-999999], [55], [123], [56], [26], [-1000001], [730], [-7], [119], [-28], [126], [-6], [-62], [58], [-5], [727], [-26], [-39], [-1000002], [-46], [999998], [726], [731], [54], [725], [-29], [59], [-47], [31], [25], [509], [124], [-40], [511], [99], [45], [-45], [-999997], [121], [-48], [4], [732], [-726], [1111], [1331], [-13824], [1000000000], [-1000000000], [987654321], [-987654321], [-13825], [-987654320], [-987654319], [-13823], [-727], [-729], [-1000000001], [1332], [3], [-25], [987654322], [-725], [5], [1112], [6], [-1000000002], [7], [-68], [999999999], [-728], [-24], [-724], [-13822], [-987654322], [1110], [8], [-69], [-70], [-723], [-730], [999999998], [-23], [10], [-13821], [1113], [122], [-987654318], [1330], [-1000000003], [-1000000004], [-71], [9], [81], [-22], [999999997], [-21], [-987654317], [-75], [999999996], [-73], [-13826], [-2], [-13820], [82], [987654320], [1109], [28], [-41], [46], [-1000], [99999999999999999999999999], [-99999999999999999999999999], [-1729], [-2147483648], [2147483647], [9223372036854775807], [-9223372036854775808], [1000000001], [127], [1108], [1333], [130], [128], [129], [1107], [1334], [32], [1336], [1000000002], [-18], [1000000003], [30], [-19], [117], [69], [118], [1000000004], [-999999998], [-94], [29]]\n    results = [True, False, True, True, False, True, True, False, True, True, True, True, True, True, True, True, True, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, True, True, True, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(iscube)\n\n\nprint('___SENTINEL___')\n","4ec5bfe79a15982c28fd6d021b18db54"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1], [2], [-1], [64], [0], [180]]\n    results = [True, False, True, True, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(iscube)\n\n\n\nprint('___SENTINEL___')\n","e5cec443b3a3e3d13a3e8a497f79848e"]
[{"$cut":{"chars":91464,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['AB'], ['1077E'], ['ABED1A33'], ['2020'], ['123456789ABCDEF0'], ['112233445566778899AABBCCDDEEFF00'], [[]], ['ABCDEF'], ['999999'], ['77777'], ['898989'], ['67ABCD23'], ['111'], ['444'], [''], ['1'], ['9'], ['777777'], ['1111'], ['8998989'], ['8898989'], ['11111'], ['7767ABCD237777'], ['11111777777'], ['444444'], ['679D99999ABCD23'], ['1679D99999ABCD23'], ['89679D99999ABCD2398989'], ['6979D99999ABCD23'], ['7767ABCD23777'], ['77C67ABCD237777'], ['88898989'], ['4944'], ['8988898989'], ['888989'], ['776B7ABCD23777'], ['1679D999799ABCD23'], ['77C67ABCD2C37777'], ['1C679D999799A9B7CD23'], ['44888989894'], ['77C67ABCCD237777'], ['1C679D999799A9B7C23'], ['1111188898989'], ['D6747767ABCD23777744D23'], ['67BABCD2B3'], ['679D99999ABC'], ['1C679D999799A9B77C23'], ['67ABCD2'], ['81111188898989'], ['944'], ['D6747767ABCD237777A44D23'], ['1C679D9699799A9B77C23'], ['77C67ABCDB2C37777'], ['771679D99999ABCD2371C679D999799A9B7CD23777'], ['4D6747767ABCD23777744D2344444'], ['776B7ABCBD23777'], ['8967BABCD2B38989'], ['89899'], ['67ABCD21C679D9997999A9B77C23'], ['1111189448898989'], ['9888989'], ['1C679D9999799A9B77C23'], ['67ABCD23111'], ['8111111881898989'], ['9494444'], ['994444'], ['988111118944889898988989'], ['89679D99999ABCD239679D99999ABC8989'], ['99'], ['77C6777C67ABCCD237777ABCD237777'], ['1C679D9997C99A99B7CD23'], ['811111111881897767ABCD237778989'], ['1C679D1119999799A9B77C23'], ['776B7ABCBD237777'], ['D6747767ABCD237777A4776B7ABCD237774D23'], ['679D999977777B3'], ['776B7AB1111189448898989CBD22377'], ['11114189448898989'], ['1C679D999799A9B'], ['776BB8989897ABCBD23777'], ['776B7ABCD23777999999'], ['7777'], ['4999999944'], ['11111988898989'], ['7767B7ABCD23777999999'], ['4444444'], ['679D999999ABC'], ['776BCBD237C777'], ['67ABCD811111111881897767ABCD23777898923'], ['949679D999977777B34444'], ['D6747767ABCD237777A74776B7ABCD237774D23'], ['67ABCD277C67ABCD2C377773111'], ['9444'], ['1BCD23'], ['7767B7ABCD237779'], ['67ABCD776B7ABCD2377799999923111'], ['8111111881898989776B7ABCBD237777'], ['8967BABCD2B3898967ABCD23111'], ['7767ABCD237767ABCD277C67ABCD2C37777311177'], ['98811111679D99999ABCD2389448898198988989'], ['88989811111888989899'], ['77C6777C67ABCCD2377767BABCD2B37ABCD237777'], ['98811111679D99999ABCD26389448898198988989'], ['7767ABCD23777444444'], ['77C6777C676ABCCD2377767BABCD2B37ABCD237777'], ['4488488989894'], ['898967BABCD2B389898989'], ['CEEFAD'], ['202E'], ['7'], ['753BD'], ['753BDCEEFAD2020123456789ABCDEF0'], ['BB333A11DDBC'], ['1234567890ABCDEF12345BBAA20200'], ['11ABCD2020DDBBCC22EEFFEEDDCCBBAA'], ['ABCDEF202020CBAABBBDDDDDDCCCCC1111122222333334444455555'], ['ACDF11118872159CEFF23BCCBBD4'], ['ACDF11118872159CEFFCEEFAD213BCCBBD4'], ['753BDCEE753BDF0'], ['1234567CEEFAD890ABCDEF12345BBAA20200'], ['753BDCEE753BDCF0'], ['12345B67CEEFAD890ABCDEF12345BBAA20200'], ['ABCDEF202020CBAABBBBB333A11DDBC5555'], ['11ABCD2020DDB2BCC22EEFFEEDDCCBBAA'], ['2022E'], ['12345B67C2022EEEFAD890ABCDEF12345BBAA20200'], ['ABB333A11DDBCBCDEF202020CBAABBB2BB333CA11DDBC5555'], ['12345B67C2022EEEFAD890ABCDEF1234ACDF11118872159CEFF23BCCBBD45BBAA20200'], ['ABCDEF202020CBAABBBDDDDDDCCCCC11111222223333344444555555'], ['753BDCEEFAD20201234567F89ABCDEF0'], ['123ABB333A11DDBCBCDEF202020CBAABBB2BB333CA11DDBC55554567CEEFAD890ABCDEF12345BBAA20200'], ['ACDF12345B67C2022EEEFAD890ABCDEF12345BBAA202001111887215E753BD9CEFF23BCCBBD4'], ['753'], ['22E'], ['22022E'], ['ABDBC5555'], ['7ABCDEF202020CBAABBBBB333A11DDBC55553BD'], ['753BDCE0"}},"ecf1ba129e7a2c4a144dc57f0a234b02"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['AB'], ['1077E'], ['ABED1A33'], ['123456789ABCDEF0'], ['2020']]\n    results = [1, 2, 4, 6, 2]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(hex_key)\n\n\n\nprint('___SENTINEL___')\n","36ebc993c7afda810a5d87b304ebd8e9"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[0], [32], [103], [15], [100001], [255], [999999999], [1000000000000], [7], [1023], [1], [2], [3], [4], [1000000000], [6], [1000000001], [1000000000002], [5], [100002], [100000], [1022], [8], [1000000002], [1024], [100003], [1000000000001], [999999998], [999999999999], [256], [257], [1021], [259], [1000000000003], [1000000004], [1000000000004], [1000000000005], [1000000005], [9], [1000000000006], [260], [1000000000007], [100004], [999999999998], [999999999997], [258], [1000000000008], [1000000006], [45], [100005], [99999], [1025], [999999997], [999999996], [1000000003], [44], [43], [1000000007], [42], [999999995], [46], [47], [254], [10], [999999994], [28], [1000000000009], [100007], [41], [1020], [27], [1026], [23], [999999999996], [253], [100006], [38], [100008], [39], [100009], [1027], [261], [26], [1019], [1000000008], [11], [251], [1018], [48], [22], [99998], [21], [40], [37], [20], [100011], [262], [25], [1028], [24], [999999993], [274877906943], [9223372036854775807], [10000000000000000000000000000001], [8892743], [1000], [274877906942], [10000000000000000000000000000002], [8892742], [8892740], [8892744], [10000000000000000000000000000003], [8892745], [8892741], [999], [8892739], [274877906941], [274877906940], [998], [9223372036854775806], [10000000000000000000000000000000], [274877906939], [1001], [1002], [9223372036854775808], [274877906938], [8892737], [8892746], [8892747], [274877906944], [1003], [9223372036854775805], [252], [8892748], [997], [274877906937], [8892736], [274877906945], [9223372036854775809], [274877906936], [274877906946], [8892735], [8892738], [1004], [10000000000000000000000000000004], [996], [10000000000000000000000000000005], [8892750], [8892749], [1006], [8892751], [99], [98], [9999999999999999999999999999999], [92], [1005], [9999999999999999999999999999998], [8892752], [1007], [9223372036854775804], [995], [16], [263], [53], [30], [274877906947], [29], [9223372036854775810], [67], [66], [9223372036854775811], [9999999999999999999999999999997], [63], [9999999999999999999999999999996], [81], [82], [80], [68], [9223372036854775812], [31], [83], [79], [62], [61], [84], [65], [60], [9223372036854775813], [250], [249], [9999999999999999999999999999995], [85], [89], [9223372036854775814], [49], [78], [50], [88], [33], [90]]\n    results = ['db0db', 'db100000db', 'db1100111db', 'db1111db', 'db11000011010100001db', 'db11111111db', 'db111011100110101100100111111111db', 'db1110100011010100101001010001000000000000db', 'db111db', 'db1111111111db', 'db1db', 'db10db', 'db11db', 'db100db', 'db111011100110101100101000000000db', 'db110db', 'db111011100110101100101000000001db', 'db1110100011010100101001010001000000000010db', 'db101db', 'db11000011010100010db', 'db11000011010100000db', 'db1111111110db', 'db1000db', 'db111011100110101100101000000010db', 'db10000000000db', 'db11000011010100011db', 'db1110100011010100101001010001000000000001db', 'db111011100110101100100111111110db', 'db1110100011010100101001010000111111111111db', 'db100000000db', 'db100000001db', 'db1111111101db', 'db100000011db', 'db1110100011010100101001010001000000000011db', 'db111011100110101100101000000100db', 'db1110100011010100101001010001000000000100db', 'db1110100011010100101001010001000000000101db', 'db111011100110101100101000000101db', 'db1001db', 'db1110100011010100101001010001000000000110db', 'db100000100db', 'db1110100011010100101001010001000000000111db', 'db11000011010100100db', 'db1110100011010100101001010000111111111110db', 'db1110100011010100101001010000111111111101db', 'db100000010db', 'db1110100011010100101001010001000000001000db', 'db111011100110101100101000000110db', 'db101101db', 'db11000011010100101db', 'db11000011010011111db', 'db10000000001db', 'db111011100110101100100111111101db', 'db111011100110101100100111111100db', 'db111011100110101100101000000011db', 'db101100db', 'db101011db', 'db111011100110101100101000000111db', 'db101010db', 'db111011100110101100100111111011db', 'db101110db', 'db101111db', 'db11111110db', 'db1010db', 'db111011100110101100100111111010db', 'db11100db', 'db1110100011010100101001010001000000001001db', 'db11000011010100111db', 'db101001db', 'db1111111100db', 'db11011db', 'db10000000010db', 'db10111db', 'db1110100011010100101001010000111111111100db', 'db11111101db', 'db11000011010100110db', 'db100110db', 'db11000011010101000db', 'db100111db', 'db11000011010101001db', 'db10000000011db', 'db100000101db', 'db11010db', 'db1111111011db', 'db111011100110101100101000001000db', 'db1011db', 'db11111011db', 'db1111111010db', 'db110000db', 'db10110db', 'db11000011010011110db', 'db10101db', 'db101000db', 'db100101db', 'db10100db', 'db11000011010101011db', 'db100000110db', 'db11001db', 'db10000000100db', 'db11000db', 'db111011100110101100100111111001db', 'db11111111111111111111111111111111111111db', 'db111111111111111111111111111111111111111111111111111111111111111db', 'db1111110001101111011111000100000001000101100000010010001010010110010011010000000000000000000000000000001db', 'db100001111011000101000111db', 'db1111101000db', 'db11111111111111111111111111111111111110db', 'db1111110001101111011111000100000001000101100000010010001010010110010011010000000000000000000000000000010db', 'db100001111011000101000110db', 'db100001111011000101000100db', 'db100001111011000101001000db', 'db1111110001101111011111000100000001000101100000010010001010010110010011010000000000000000000000000000011db', 'db100001111011000101001001db', 'db100001111011000101000101db', 'db1111100111db', 'db100001111011000101000011db', 'db11111111111111111111111111111111111101db', 'db11111111111111111111111111111111111100db', 'db1111100110db', 'db111111111111111111111111111111111111111111111111111111111111110db', 'db1111110001101111011111000100000001000101100000010010001010010110010011010000000000000000000000000000000db', 'db11111111111111111111111111111111111011db', 'db1111101001db', 'db1111101010db', 'db1000000000000000000000000000000000000000000000000000000000000000db', 'db11111111111111111111111111111111111010db', 'db100001111011000101000001db', 'db100001111011000101001010db', 'db100001111011000101001011db', 'db100000000000000000000000000000000000000db', 'db1111101011db', 'db111111111111111111111111111111111111111111111111111111111111101db', 'db11111100db', 'db100001111011000101001100db', 'db1111100101db', 'db11111111111111111111111111111111111001db', 'db100001111011000101000000db', 'db100000000000000000000000000000000000001db', 'db1000000000000000000000000000000000000000000000000000000000000001db', 'db11111111111111111111111111111111111000db', 'db100000000000000000000000000000000000010db', 'db100001111011000100111111db', 'db100001111011000101000010db', 'db1111101100db', 'db1111110001101111011111000100000001000101100000010010001010010110010011010000000000000000000000000000100db', 'db1111100100db', 'db1111110001101111011111000100000001000101100000010010001010010110010011010000000000000000000000000000101db', 'db100001111011000101001110db', 'db100001111011000101001101db', 'db1111101110db', 'db100001111011000101001111db', 'db1100011db', 'db1100010db', 'db1111110001101111011111000100000001000101100000010010001010010110010011001111111111111111111111111111111db', 'db1011100db', 'db1111101101db', 'db1111110001101111011111000100000001000101100000010010001010010110010011001111111111111111111111111111110db', 'db100001111011000101010000db', 'db1111101111db', 'db111111111111111111111111111111111111111111111111111111111111100db', 'db1111100011db', 'db10000db', 'db100000111db', 'db110101db', 'db11110db', 'db100000000000000000000000000000000000011db', 'db11101db', 'db1000000000000000000000000000000000000000000000000000000000000010db', 'db1000011db', 'db1000010db', 'db1000000000000000000000000000000000000000000000000000000000000011db', 'db1111110001101111011111000100000001000101100000010010001010010110010011001111111111111111111111111111101db', 'db111111db', 'db1111110001101111011111000100000001000101100000010010001010010110010011001111111111111111111111111111100db', 'db1010001db', 'db1010010db', 'db1010000db', 'db1000100db', 'db1000000000000000000000000000000000000000000000000000000000000100db', 'db11111db', 'db1010011db', 'db1001111db', 'db111110db', 'db111101db', 'db1010100db', 'db1000001db', 'db111100db', 'db1000000000000000000000000000000000000000000000000000000000000101db', 'db11111010db', 'db11111001db', 'db1111110001101111011111000100000001000101100000010010001010010110010011001111111111111111111111111111011db', 'db1010101db', 'db1011001db', 'db1000000000000000000000000000000000000000000000000000000000000110db', 'db110001db', 'db1001110db', 'db110010db', 'db1011000db', 'db100001db', 'db1011010db']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(decimal_to_binary)\n\n\nprint('___SENTINEL___')\n","d50e97be8468da8b6188e89c379a9d5e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[15], [32]]\n    results = ['db1111db', 'db100000db']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(decimal_to_binary)\n\n\n\nprint('___SENTINEL___')\n","8add2cee0f05de81c00a073514a6cd7a"]
[{"$cut":{"chars":206180,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['a'], ['aa'], ['abcd'], ['aabb'], ['adb'], ['xyy'], ['iopaxpoi'], ['iopaxioi'], ['xyz'], ['tim'], ['abcabc'], ['bjmpzkfak'], ['cadbfe'], ['agbebf'], [' this is a comment'], ['yyyyy'], ['xycxyz'], ['bacbacb'], ['xy'], ['xxy'], ['baacbacb'], ['bjmzpzkfak'], ['xxyzycxyz'], ['bacacbacb'], ['tibacacbacbm'], ['bagbebf'], ['tibaagbebfcacbacbmm'], ['baaacbacb'], [' this is bacbacba comment'], ['abbaacbacbcabc'], ['abbaacbaccbcabc'], [' this is bacbacba commenst'], ['baacbacbkfak'], ['xx'], [' this is aao comment'], [' this is bat'], [' this is baacbacbbat'], ['x'], ['agbbebf'], [' thiis is hbat'], ['abbaacbaccb'], [' thiis is hb'], [' this is baaacbacbbat'], [' this is baaacbaicbbat'], ['cabcabc'], ['XX'], [' this is bacbacba coxxmmenst'], [' this is bacbacba comnnt'], ['xxbacbacbx'], ['bjmzpzfak'], ['yxycxyz'], ['baacbacbbRxtTUe'], ['baacbabbaacbaccbcabcacbbyxycxyzRxtTUe'], ['agbebfx'], ['aab this is bacbacba coxxmmenstcabc'], ['bjmpzkafak'], ['baacbagbebfxk'], [' this is bacbacba commbenst'], [' thiabcabcs is baaacbaicbbat'], ['bjmzpzkf'], [' this is b abat'], [' this xxis baaacbaicbbatXXX'], ['zxyxcxyz'], [' thish is b abat'], ['aebfx'], ['acbbaacbaccb'], [''], [' thish i s b abat'], [' this is bcba comment'], ['yyyyyy'], [' this i bacbacba comme'], [' this is hb'], ['xxxx'], [' t his   thish i s b abatis bat'], ['bjmzf'], ['gabgbbebf'], ['bjmzpzkfamk'], [' thiibaacbacbkfaks is hbat'], [' this  i bacbacba comme'], ['zbjmzpzfak'], ['PQko'], ['baacbacbbRxbtTUe'], ['baUe'], [' this ics bacbacba comnnt'], [' t his   thish i  s b abatis bat'], [' this is bacst'], ['bRxtTU this is baaacbaicbbate'], ['abbRxtTU this is baaacbaicbbatebaabcbaccb'], ['bjm this ics bacbacba comnntzkf'], [' this is bcba commentt'], ['PQkaebfxo'], [' tat'], [' thish i sb abat'], ['baacbagbbebfxk'], ['cadbbjmzffe'], [' this isPQkaebfxo bacbacba comnnt'], [' thiagbebfsh i sb abat'], ['caaaabcaabc'], ['tiba t his   thish i s b abatis batcacbacbm'], ['abbaacbaccbbcabc'], ['baUee'], [' this  i ba t is baacbacbbatcbacba comme'], ['xxx'], ['yxycxyzxxy'], ['abababababababababababababababababababababababab'], ['aaddbbccddeeaabbccddee'], ['abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz'], ['aaaaabbbbccccddddaaaabbbbccccddddaaaabbbbccccdddd'], ['abcabcabcabcabcabcabcabcabcabcabcabcabcabcabcabcab'], ['qwertyuiopasdfghjklzxcvbnmqwertyuiopasdfghjklzxcvb'], ['112233445566778899001122334455667788990011223344556677889900'], ['abcccaaabbddeefff'], ['aaaaabbbbccccdeeeddddccccbbbbaaaaeeeedddcccca'], ['abcdefgabcdefgcdefgabcdefgabcdefgcdefgabcdefg'], ['11223344556677556677889900'], ['aaaaabbbbccccdeeeddddccccbbbbaaaaaaaabbbbccccdeeeddddccccbbbbaaaaeeeedddccccaaeeeedddcccca'], ['abcabcabcabcabcabcabcabcabcabcabcabcabcabbcabcabcab'], ['aaaaabbbbccccdeeeddddccccbbbbaaaaaaaabbbbccccdeeeddddccccbbbbaaaaeeeedddccccaaeeeedddccccaabcabcabcabcabcabcabcabcabcabcabcabcabcabbcabcabcab'], ['aaaaabbbbccccddddaaaabbbbccdccddddaaaabbbbccccdddd'], ['aaaaabbbbccccdeeeddddccccbbbbaaaaeeeedddc'], ['aadadbbccddeeaabbccddee'], ['aaaaabbbbccccddddaaaabbbbccdccddddaaaabbbbccccababababababababababababababababababababababababddd'], ['aaccccddddaaaabbbbccccddddaaaabbbbccccdddd'], ['aaaaabbbbccccdeeeddddccccbbbbaaaaeeabcabcabcabcabcabcabcabcabcabcabcabcabcabcabcabcabeedddc'], ['aaaaabbbbccccdeeeddddccccbbbbaaaaeeabcabcabcabcabcabcabcabcabcabcabcaaaaabbbbccccdeeeddddccccbbbbaaaaeeabcabcabcabcabcabcabcabcabcabcabcabcabcabcabcabcabeedddcabcabcabcabcabcabeedddc'], ['aaa"}},"46d08033717f85624d305ada35524bb3"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['a'], ['aa'], ['abcd'], ['aabb'], ['adb'], ['xyy']]\n    results = [False, False, True, False, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_happy)\n\n\n\nprint('___SENTINEL___')\n","704e0735d3cbe4e1b04ca6d3fbe6d661"]
[{"$cut":{"chars":196395,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[4.0, 3, 1.7, 2, 3.5]], [[1.2]], [[0.5]], [[0.0]], [[1, 0.3, 1.5, 2.8, 3.3]], [[0, 0.7]], [[3.8, 2.5, 3.9, 2.2, 1.0]], [[3.1, 2.7, 1.8, 0.9, 0.5, 4.0]], [[2.2, 1.0, 0.8, 3.5, 0.9, 1.8]], [[2.7, 1.5, 0.7, 3.3, 3.9]], [[3.2, 3.1, 3.0, 2.9, 2.8, 2.7]], [[3.3, 2.8, 2.5, 1.9, 1.0]], [[4.0, 4.0, 4.0, 4.0]], [[1.7, 1.7, 1.7, 1.7]], [[2.0, 2.0, 2.0, 2.0]], [[3.8, 3.5, 3.2, 2.5, 1.8]], [[3.3, 2.5, 1.9, 1.0]], [[2.2, 1.0, 3.5, 0.9, 1.8]], [[3.2, 2.5, 3.9, 1.0]], [[2.5, 1.0]], [[2.5, 3.9, 2.2, 1.0]], [[3.2, 2.5, 3.9, 1.0, 3.2]], [[1.7, 2.7, 1.7, 1.7]], [[3.709427582366981, 4.0, 4.0, 4.0, 4.0, 4.0]], [[2.2, 1.0, 3.5, 3.5, 1.8]], [[2.5, 3.9, 1.0]], [[1.042839384499805, 2.5, 3.9, 1.0]], [[3.2, 2.5, 3.9, 1.0, 3.2, 1.0]], [[3.2, 1.805599623539984, 3.9, 1.0, 3.2, 1.0]], [[3.1, 2.7, 1.8, 0.9, 0.5, 3.2179011133442392, 4.0]], [[3.1, 1.042839384499805, 1.8, 0.9, 0.5, 4.0]], [[2.7, 1.5, 3.3, 3.9]], [[3.2, 1.805599623539984, 3.9, 2.5, 1.0, 3.2, 1.0]], [[3.2, 3.0, 2.9, 2.8, 0.8, 2.7]], [[3.709427582366981, 4.0, 4.0, 4.0, 4.0]], [[3.2, 3.0, 2.9, 2.8, 1.805599623539984]], [[3.3, 2.5, 1.9, 1.0, 3.3]], [[3.8, 2.5, 3.9, 2.2, 1.0, 3.8]], [[2.2, 1.0, 0.8, 3.5, 1.8]], [[3.2, 3.0, 2.9, 3.763604414675102, 2.8, 0.8, 2.7]], [[3.2, 1.805599623539984, 3.9, 1.0, 3.2, 1.0, 1.0, 1.0]], [[3.9912671479260595, 3.709427582366981, 2.2, 1.395524873610277, 3.5, 1.8]], [[2.0, 2.0, 2.0, 2.0, 2.0]], [[3.8, 1.7, 3.2, 3.8, 2.5, 1.8]], [[3.2, 3.9, 1.0, 3.2, 1.4895722008503087, 1.0]], [[3.215384727410053, 3.9912671479260595, 3.709427582366981, 2.2, 1.395524873610277, 2.7, 3.5, 1.8, 2.2]], [[3.2, 1.805599623539984, 3.9113959701215952, 2.5, 1.0, 3.2, 1.0]], [[3.2, 2.5, 3.9, 2.508642056561272, 1.0, 3.2, 1.0, 3.2]], [[3.2, 2.5, 3.9, 1.0, 3.2, 3.2]], [[3.3, 1.805599623539984, 2.5, 1.8175526777169158, 1.9, 4.0, 3.3]], [[2.0, 1.4964639270220252, 2.0, 2.0, 2.0]], [[3.2, 1.4369192900023102, 3.9, 1.0, 3.2]], [[2.0, 1.4964639270220252, 2.0, 2.0, 2.0, 2.0]], [[3.2, 1.9608727800276897, 3.0, 2.9, 2.8, 1.805599623539984, 2.9]], [[3.8, 2.5, 3.9, 2.2, 1.0, 3.8, 3.9]], [[3.2, 1.805599623539984, 3.9113959701215952, 3.5, 2.5, 1.0, 3.2, 2.1050281908694695, 1.0, 2.1050281908694695]], [[3.2, 1.805599623539984, 0.3312835169497219, 3.739849311828012, 1.0, 3.2]], [[3.2, 1.805599623539984, 3.9, 1.0, 3.2, 1.0, 1.0, 1.0, 3.2]], [[3.215384727410053, 3.709427582366981, 2.2, 1.395524873610277, 2.7, 3.5, 1.8]], [[1.7, 2.7, 1.7, 1.9019261670109442]], [[3.2, 3.0, 2.9, 3.763604414675102, 2.8, 0.8, 2.7, 3.763604414675102]], [[3.2, 1.9608727800276897, 3.0, 2.8, 1.805599623539984, 2.9]], [[1.8, 3.2, 3.0, 2.9, 2.8, 1.805599623539984]], [[3.3, 2.5, 1.9, 1.0, 1.9]], [[3.8, 3.5, 3.2, 2.5, 1.8, 2.5]], [[3.2, 1.805599623539984, 1.607214262835292, 2.5, 1.0, 3.2, 1.0]], [[3.2, 3.9, 1.0, 3.2, 1.4895722008503087, 1.0, 1.4895722008503087]], [[3.2, 3.9, 2.9, 3.2, 1.0]], [[2.0, 2.3849863566858387, 2.0, 2.0]], [[3.2, 0.3312835169497219, 3.9, 1.9, 3.2, 1.0]], [[1.8, 3.2, 3.0, 2.9, 2.8, 3.763604414675102]], [[2.2, 1.0, 0.8, 3.5, 1.9, 1.8]], [[2.2, 0.8, 3.5, 0.9, 1.8]], [[3.2, 1.805599623539984, 3.9, 1.0, 3.2, 1.0, 1.0]], [[3.8, 3.2, 3.8, 2.5, 1.8]], [[2.5]], [[3.2, 1.805599623539984, 3.9113959701215952, 2.5, 1.0, 3.2, 2.3477546845755017, 1.0]], [[3.8623548805291374, 3.2, 2.5, 3.9, 1.0]], [[3.8, 3.5, 3.2, 2.5, 1.8133352848348985, 3.763604414675102]], [[3.2, 1.805599623539984, 3.9, 3.2, 1.0]], [[2.5, 0.6908813412299079, 1.0]], [[2.7, 1.5, 3.9]], [[3.8, 3.5, 3.2, 2.5, 1.8133352848348985, 3.763604414"}},"8b76ec35a13b1e8bd1337e586bc3b644"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[4.0, 3, 1.7, 2, 3.5]]]\n    results = [['A+', 'B', 'C-', 'C', 'A-']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(numerical_letter_grade)\n\n\n\nprint('___SENTINEL___')\n","d0c61fbbc009be36a01e20fa0b554e26"]
[{"$cut":{"chars":68120,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Hello'], ['abcdcba'], ['kittens'], ['orange'], ['wow'], ['world'], ['MadaM'], ['Wow'], [''], ['HI'], ['go'], ['gogo'], ['aaaaaaaaaaaaaaa'], ['Madam'], ['M'], ['0'], ['a'], ['ab'], ['abc'], ['abcd'], ['abcde'], ['abcdef'], ['abcdefg'], ['abcdefgh'], ['abcdefghi'], ['zyxwvutsrqponmlkjihgfedcba'], ['abcddefghi'], ['abcdefabcddefghi'], ['abcdeabcabcdefgfabcddefghi'], ['abcdefghiab'], ['abcdeabcabcdeabc'], ['zyxwvutsrqponmledcba'], ['aabcbcde'], ['abcdefga'], ['abcddefg'], ['abcdeabcddefgfg'], ['abcdabcdefgadefg'], ['aabcbcdeabcdeabcddefgaabcbcdefg'], ['zyxwvutsrqponwmlkjihgfedcba'], ['phZ'], ['aabcbcdeabcdeabcddefgaabcbabcdefghiabefg'], ['aabcbcdeabcdeabcddefgaeabcbcdefg'], ['abcdabcdabcdefgadefggade'], ['abcabcdddefghi'], ['abcdeg'], ['ababcdefga'], ['abacdabcdefgadefg'], ['abacdabcdefgeadefg'], ['ababcdabcdegabcdefgeadefg'], ['Z'], ['abcdefzyxwvutsrqponmledcbaabcddefghi'], ['aabcbcdeabdcdeabcddefgaabcbabcdefghiabefg'], ['abcddbefg'], ['acde'], ['pZ'], ['abcdabcdabcdefgadefggabcdefabcddefghiadababcdefgae'], ['pabacdabcdefgadefgZ'], ['LgdoOsvabcdeabcabcdeabc'], ['zyxwvupZtsrqponmlkihgfedcba'], ['abcdabcdefgadefga'], ['abcdeaebcddefgfg'], ['abcdgdefg'], ['abcdefgaabcbcdehiab'], ['abcdeaebcddefabacdabcdefgeadefggfg'], ['abcdaabcdgdefgbcdefgadefg'], ['abcddbefabcdefghig'], ['azyxwvupZtsrqponmlkihgfedcbadeabcddefgfg'], ['abcdeabcdefgag'], ['pabcdZ'], ['LgdoOsvabcdeaabcdeaebcddefabacdabcdefgeadefggfgbcabcdeabc'], ['aabcbcdeabcabcddbefgdeabcddefgaeabcbcdefg'], ['dcabcde'], ['abcdeaebcddefabacdabcdefgeadefggfgabcddefg'], ['aabcdefgbcdefga'], ['LfgdoOsvabcdeaabcdeaebcddefabacdabcdefgeadefggfgbcabcdeabc'], ['aa'], ['zyxwvutsrqpzyxwvutsrqponwmlkjihgfedcbaonmlkjihgfedcba'], ['aabcbcdeabdcdeabcddefgaabcbabcdefghiabef'], ['zyxwvutskrqponmlkjihgfedcba'], ['azyxwvupZtsrqponmlkihgfedcbadeababcdefcddmefegafg'], ['zyxwvutskraqpognmlkjihgfedcba'], ['abcdefgaaabcdeaebcddefabacdabcdefgeadefggfgabcddefgbcbcdehiab'], ['abacd'], ['abcdabcdefgadefgaZZ'], ['LfgdoOsvabcdeaabcdeaebcddefzyxwvutskrqponmlkjihgfedcbaabacdabcdefgeadefggfgbcabcdeabc'], ['dcabacdee'], ['aabcbcdeabcdeabcddefgaabcbabcdefghiabeafg'], ['abacdaadefg'], ['ababcdeabcddefgfgcdefg'], ['LaabcbcdeabdcdeabcddefgaabcbabcdefghiabefggdoOsvabcdeabcabcdObeabc'], ['aabcbcdeabcdeabcddefgaabcg'], ['aabcd'], ['abccdeabcdef'], ['apabacdabcdefgadefgZbcdefzyxwvutsrqponmledcbaabcddefgfhi'], ['dcazyxwvupZtsrqponmlkihgfedcbadeababcdefcddmefegafgabcde'], ['aabcbcdeabdcdeabcddefgaabgcbabcdefghiabefg'], ['pabacdabfgZ'], ['abcdefgaabcbcdehiabb'], ['abZabcdabcdegabcdefgeeadefg'], ['aabcdeabcabcdefgfabcddefghibacd'], ['LfgdoOsvabcdeaabcdeaebcddefzyxwvutskrqponmlkjiLgdoOsvabcdeabcabcdeabchgfedcbaabacdabcdefgeadefggfgbcabcdeabc'], ['ababcdefa'], ['LfgdoOsvaababcdeabcddefgfgcdefgbcdeaabcdeaebcddefabacdabcdefgeadefggfgbcabcdeabc'], ['abacdpZ'], ['pabc'], ['LfgdoOsvaababcdeabcdddefgfgcdefgbcdeaabcdeaebcddefabacdabcdefgeadefggfgbcabcdeabc'], ['abZabcdabcdegabcdaefgeeadefg'], ['LfgdoOsvabcdeazyxwvutsrqponmledcbaabcdeaebcddefzyxwvutskrqponmlkjiLgdoOsvabcdeabcabcdeabchgfedcbaabacdabcdefgeadfgbcabeabc'], ['aabcbcdeabcdeLgdoOsvabcdeaabcdeaebcddefabacdabcdefgeadefggfgbcabcdeaefg'], ['LaabcbcdeabdcadeabcddefgaabcbabcdefghiabefggdoOsvabcdeabcabcdObeabc'], ['p'], ['abacabLfgdoOsvabcdeazyxwvutsrqponmledcbaabcdeaebcddefzyxwvutskrqponmlkjiLgdoOsvabcdeabcabcdeabchgfedcbaabacdabcdefgeadfgbcabeabccdaabcdgdefgbcdefgadefgd'], ['abcabcdeaebcddefabacdabcdefgeadefggfgabcddefgdeabcdefgag'], ['Laabcbcd"}},"34041439b2f2c5b2abcfcef414f94168"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Hello'], ['abcdcba'], ['kittens'], ['orange']]\n    results = [True, True, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(prime_length)\n\n\n\nprint('___SENTINEL___')\n","1ea9e994061041236247e19004204fe4"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef ref_func(n):\n\n\n    if n == 1: return 1\n    return 18 * 10 ** (n - 2)\n\n\n\ndef check(candidate):\n    inputs = [[1], [2], [3], [4], [5], [6], [10], [12], [15], [20], [30], [8], [25], [100], [500], [29], [14], [26], [19], [13], [9], [101], [28], [21], [24], [7], [102], [99], [16], [501], [17], [22], [98], [11], [499], [1000], [1234], [9876], [31415], [1000000], [99999], [9877], [9878], [1235], [1001], [9879], [9880], [999999], [9881], [31414], [78], [999998], [999], [1002], [100000], [9882], [1233], [80], [999997], [1236], [1237], [1232], [79], [90], [31416], [31413], [31412], [31411], [1003], [999996], [68], [69], [1004], [97], [23], [9883], [89], [31417], [1231], [67], [100001], [50], [94], [82], [53], [52], [51], [9874], [31418], [77], [54], [9875], [76], [9873], [1000001], [96], [49], [1000002], [75], [998], [35], [39], [48], [34], [70], [38], [95], [997], [47]]\n    for i, inp in enumerate(inputs):\n        assertion(candidate(*inp), ref_func(*inp), 0)\n\ncheck(starts_one_ends)\n\n\nprint('___SENTINEL___')\n","b3622b3917506386dc2832143765ba48"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = []\n    results = []\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(starts_one_ends)\n\n\n\nprint('___SENTINEL___')\n","20065732f6f62fa54246cd740a9048c6"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[1000], [150], [147], [333], [963], [1], [10], [101], [1111], [5000], [9999], [819], [15], [75], [820], [818], [16], [1112], [17], [9998], [9997], [821], [2], [1110], [1113], [74], [11], [14], [10000], [100], [73], [27], [35], [817], [1114], [9996], [1115], [12], [18], [816], [13], [36], [28], [1109], [96], [97], [5001], [76], [1116], [9], [815], [822], [26], [814], [72], [4999], [95], [8], [102], [25], [3], [9995], [1107], [33], [19], [4], [1117], [20], [1118], [5], [24], [94], [23], [34], [77], [812], [4998], [6], [84], [4997], [813], [29], [103], [98], [78], [37], [83], [93], [21], [1108], [1119], [31], [1120], [9994], [85], [79], [7], [30], [71], [9993], [32], [52], [90], [91], [8888], [7777], [6666], [5555], [4444], [3333], [2222], [1010], [7776], [8889], [3332], [6667], [6668], [2223], [2224], [22], [7779], [3331], [7778], [5554], [6665], [6669], [2221], [8887], [5553], [4443], [7780], [57], [5556], [6664], [56], [5557], [5552], [3334], [6670], [4445], [2219], [2225], [60], [5551], [8886], [1009], [2220], [1011], [3330], [55], [2218], [5550], [58], [1012], [3329], [59], [7775], [6671], [6672], [2227], [8885], [70], [1007], [54], [1008], [2228], [2226], [5547], [4442], [2230], [2231], [1013], [5548], [7782], [44], [7783], [3328], [2232], [2233], [6673], [53], [5549], [2234], [69], [6663], [7774], [7773], [7772], [3335], [7771], [8884], [1014], [3336], [3337], [4441], [8883], [5558], [3327], [65], [66], [63], [7770], [5559], [5560], [7769], [5561], [8890], [3338], [8882], [8891], [7768], [62], [5562], [8881], [64], [7767]]\n    results = ['1', '110', '1100', '1001', '10010', '1', '1', '10', '100', '101', '100100', '10010', '110', '1100', '1010', '10001', '111', '101', '1000', '100011', '100010', '1011', '10', '11', '110', '1011', '10', '101', '1', '1', '1010', '1001', '1000', '10000', '111', '100001', '1000', '11', '1001', '1111', '100', '1001', '1010', '1011', '1111', '10000', '110', '1101', '1001', '1001', '1110', '1100', '1000', '1101', '1001', '11111', '1110', '1000', '11', '111', '11', '100000', '1001', '110', '1010', '100', '1010', '10', '1011', '101', '110', '1101', '101', '111', '1110', '1011', '11110', '110', '1100', '11101', '1100', '1011', '100', '10001', '1111', '1010', '1011', '1100', '11', '1010', '1100', '100', '100', '11111', '1101', '10000', '111', '11', '1000', '11110', '101', '111', '1001', '1010', '100000', '11100', '11000', '10100', '10000', '1100', '1000', '10', '11011', '100001', '1011', '11001', '11010', '1001', '1010', '100', '11110', '1010', '11101', '10011', '10111', '11011', '111', '11111', '10010', '1111', '10110', '1100', '10101', '10110', '1011', '10110', '10001', '1101', '10011', '10001', '1110', '1011', '110', '10000', '11110', '1010', '110', '11', '1001', '1010', '1101', '1111', '1101', '100', '10001', '1110', '11010', '10100', '10101', '1101', '11101', '111', '1000', '1001', '1001', '1110', '1100', '10101', '1110', '111', '1000', '101', '10110', '11000', '1000', '11001', '10000', '1001', '1010', '10110', '1000', '10111', '1011', '1111', '10101', '11001', '11000', '10111', '1110', '10110', '11100', '110', '1111', '10000', '1101', '11011', '10111', '1111', '1011', '1100', '1001', '10101', '11000', '10000', '11101', '10001', '11001', '10001', '11010', '11010', '11100', '1000', '10010', '11001', '1010', '11011']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(solve)\n\n\nprint('___SENTINEL___')\n","ae5dfa487cdbdfeb31ef03af3bc7d31d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1000], [150], [147]]\n    results = ['1', '110', '1100']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(solve)\n\n\n\nprint('___SENTINEL___')\n","327556884d7068d4771535cb2e898a66"]
[{"$cut":{"chars":55893,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[4, 88]], [[4, 5, 6, 7, 2, 122]], [[4, 0, 6, 7]], [[4, 4, 6, 8]], [[3, 5, 7, 9]], [[2, 4, 6, 8]], [[1, 2, 3, 4]], [[5, 4, 7, 2, 1]], [[0, 0, 0, 0, 0]], [[1, 3, 5, 7]], [[2, 3, 4, 5]], [[0]], [[1, 2, 3, 4, 5, 6]], [[2, 4, 6, 8, 10]], [[2, 4, 0, 8]], [[2, 3, 6, 8]], [[2, 3, 5, 4]], [[2, 3, 4, 5, 2]], [[8]], [[10, 2, 3, 5, 4]], [[10, 4, 3, 5, 4]], [[9, 9, 5, 7]], [[1, 3, 4]], [[1, 2, 3, 4, 2]], [[6, 2, 3, 5, 4]], [[5, 3, 21, 64, 3, 1, 1]], [[2, 3, 5, 2]], [[2, 3, 2, 6, 8]], [[2, 3, 4, 5, 5]], [[10, 4, 3, 3, 5, 4]], [[0, 0, 0, 0]], [[1, 2, 3, 4, 2, 1, 3]], [[8, 3, 5, 2]], [[0, 0, 0, 0, 21, 0]], [[21, 3, 64, 5, 2]], [[2, 4, 5, 2]], [[5, 3, 21, 64, 3, 2, 64, 1, 1]], [[1, 3, 4, 4]], [[2, 4, 6, 8, 10, 10]], [[1, 3, 4, 5]], [[3, 2, 3, 5, 4]], [[1, 3, 4, 4, 3]], [[1, 2, 3, 4, 2, 1, 3, 3]], [[1, 2, 2, 4, 3, 2, 1, 3]], [[1, 2, 3, 4, 3, 2, 1, 3, 1]], [[2, 4, 6, 8, 64, 10, 10]], [[4, 4, 7, 2, 1]], [[1, 21, 2, 3, 4]], [[1, 2, 3, 4, 3, 2, 1, 2]], [[2, 0, 2, 5, 2]], [[0, 0, 0, 6, 0]], [[1, 2, 2, 4, 3, 5, 2, 1, 3]], [[5, 21, 64, 3, 1, 1, 3]], [[1, 2, 2, 4, 3, 5, 2, 1, 3, 2]], [[6, 2, 3, 5, 4, 4, 4]], [[21, 5, 3, 64, 5, 2]], [[2, 3, 4]], [[4, 2, 3, 5, 2]], [[1, 3, 3, 4]], [[2, 3, 4, 5, 2, 4]], [[21, 5, 3, 6, 64, 5, 2]], [[1, 2, 3, 4, 2, 1, 3, 2]], [[2, 4, 6, 8, 64, 3, 10, 3]], [[1, 2, 3, 7, 4, 2, 1, 3, 1]], [[0, 0]], [[21, 3, 64, 2]], [[1, 3, 4, 4, 1]], [[6, 2, 3, 5, 4, 4, 4, 2]], [[1, 2, 2, 4, 3, 3, 2, 1, 3]], [[8, 3, 5, 2, 8, 2]], [[8, 1, 2, 3, 3, 2]], [[2, 3, 4, 5, 2, 4, 4]], [[7, 2, 3, 5, 4, 4, 9, 4, 2]], [[5, 21, 64, 3, 1, 1, 3, 21]], [[3, 4]], [[5, 3, 21, 64, 3, 1, 1, 1]], [[1, 3, 4, 4, 3, 4]], [[21, 5, 3, 6, 20, 64, 5, 2]], [[2, 3, 4, 8, 2]], [[8, 3, 5, 2, 8, 3]], [[1, 3, 5, 7, 1]], [[8, 8]], [[6, 2, 3, 5, 5]], [[9, 9, 5, 64]], [[2, 21, 3, 64, 2, 21]], [[1, 3, 5]], [[1, 3, 5, 7, 1, 7]], [[5, 3, 21, 64, 3, 1, 2, 1]], [[0, 8, 5, 2, 8, 2]], [[0, 8, 5, 2, 2, 8, 2]], [[21, 3, 64, 8, 2]], [[2, 4, 6, 64, 10, 10]], [[1, 2, 3, 4, 3, 2, 1, 3, 1, 3]], [[20, 21, 64, 3, 1, 1, 3, 21]], [[21, 3, 10, 64, 5, 2]], [[2, 3, 2, 6, 8, 8]], [[2, 3, 2, 6, 8, 1, 8]], [[0, 0, 0, 21, 0]], [[6, 2, 3, 5]], [[-64, -4, 5, -78]], [[1, 5, 3, 8, 7, 10, 6, 9, 23, 2]], [[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30]], [[3, 6, 2, 7, 4, 8, 1, 9, 10, 5]], [[11, 22, 33, 44, 55, 66, 77, 88, 99, 100]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]], [[1, 3, 5, 7, 9, 12, 15, 18]], [[2, 4, 6, 8, 10, 11, 13, 15]], [[1, 4, 3, 8, 7, 10, 14]], [[3, 5, 7, 9, 2, 122, 6, 8, 10, 556, 100, 187, 920, 42, 37, 29]], [[1, 3, 5, 7, 9, 11, 13, 2, 4, 6, 8, 10, 12, 14]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 10]], [[9, 4, 6, 10, 11, 13, 15]], [[122, 9, 4, 6, 10, 11, 13, 15]], [[122, 9, 4, 6, 10, 11, 13, 15, 13]], [[11, 22, 33, 44, 55, 66, 77, 88, 99, 100, 99]], [[3, 1, 2, 3, 4, 5, 6, 7, 17, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 10]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 42, 13, 14, 15, 16, 17, 18, 19, 20, 10]], [[3, 1, 2, 3, 4, 5, 6, 7, 17, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20]], [[1, 4, 3, 8, 7, 10]], [[3, 1, 2, 3, 4, 5, 6, 7, 17, 8, 9, 10, 11, 12, 13, 14, 15, 16, 99, 18, 19, 20, 10]], [[3, 6, 7, 4, 8, 1, 9, 10, 5]], [[1, 5, 3, 8, 7, 1, 10, 6, 9, 23, 2]], [[3, 1, 2, 3, 4, 5, 6, 7, 17, 8, 9, 10, 11, 12, 14, 15, 16, 9, 17, 18, 19, 20]], [[3, 6, 7, 4, 8, 1, 9, 10, 5, 10]], [[3, 5, 7, 9, 2, 6, 8, 10, 556, 100, 187, 920, 42, 37, 29, 7, 8]], [[122, 9, 4, 6, 10, 11, 13, 1"}},"1b3fd57ce9e9bb57eb9b2c72b9ded15b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[4, 2, 6, 7]]]\n    results = [2]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(add)\n\n\n\nprint('___SENTINEL___')\n","f515eabc2a57ad4de692d72af0bc6b95"]
[{"$cut":{"chars":94691,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Hi'], ['hello'], ['number'], ['abcd'], ['Hello World!!!'], [''], ['Hi. My name is Mister Robot. How are you?'], ['12345'], ['\\n\\n123 456\\n789\\n'], ['Mary had a little lamb'], ['Racecar'], ['!!!'], ['The quick brown fox jumps over the lazy dog.'], ['This is a test.'], ['1, 2, 3, testing!'], ['Quick brown fox'], ['The quick brown fox jumps over the lazy dog'], ['The quick brown fox jumps over thhe lazy dog'], ['r'], ['Raccecar'], ['56\\n789\\n'], ['The quicmk brown fox jumps over the lazy dog.'], ['lDQH'], ['The quick brown fox jumps over the lag.'], ['This is a test.r'], ['lThe quick brown fox jumps over thhe lazy dogDQH'], ['This is a t.'], ['1, 2,1 3, testing!'], ['1, 2, 31, testing!'], ['This is a testt.r'], ['1, 2, 31, Racecartesting!'], ['Quick bfrown fox'], ['!!1, 2,1 3, testing!!'], ['\\n\\n1232 456\\n789\\n'], ['1, 2, 31,t Racecartesting!'], ['Raceca'], ['!!1, 2,1 The quick brown fox jumps over the lag.3, testing!!'], ['Raceca!!1, 2,1 The quick brown fox jumps over the lag.3, testing!!'], ['The quick brown fox ju1, 2, 31, testing!mps over thhe lazy dog'], ['Racc!!1, 2,1 The quick brown fox jumps over the lag.3, testing!!car'], ['The quick brown foxg jumps over the lazy mdog'], ['Quick blThe quic jumps over thhe lazy dogDQHrown fox'], ['rr'], [',!!1, 2,1 3, testi1, 2, 3, testing!ng!!'], ['The quic k brown fox jumps o ver theg.'], ['The quick brown foxRaceca!!1, 2,1 The quick brown fox jumps over the lag.3, testing!!mps over the lazy dog.'], ['Raaccecar'], ['RacThe quicmk brown fox jumps over the lazy dog.eca'], ['1, 2,1 3, teseting'], ['tKYJ'], ['!!1,1, 2, 3, testing! 2,1 The quick brown fox jumps over theRacThe quicmk brown fox jumps over the lazy dog.eca lag.3, testing!!'], ['1, 2, 3, testi!!'], ['Quick blThe quic jumps oiver thhe lazy dogDQHrown fox'], ['RacRecar'], ['ThicQuick blThe quic jumps over thhe lazy dogDQHrown foxs is a tes.t.'], ['Quick blThe quic jThe quick brown fox ju1, 2, 31, testing!mps over thhe lazy dogumps over thhe lazy dogDQHrown fox'], ['ThiTcQuick blThe quic jumps over thhe laczy dogDQHrown foxs is a tes.t.'], ['rrr'], ['The quick brown fox jumps over theazy dog.'], ['3, teseting'], ['cRecar'], ['1, 2,1 3, tesetingQuick blThe quic jumps oiver thhe lazy dogDQHrown fox'], ['1, 2This is a testt. resting!'], ['Racc!!1, 2,1 The quick brown cfox jumps over the lag.3, testing!!car'], ['Quick blThe quic cRecarjumps over thhe lazy dogDQHrown fox'], ['The quicmk brown foxRaccecar jRacecarumps over the lazy dog.'], ['\\n\\n5123 456\\n789\\n'], ['ThiTcQuick blThe quic jumps over thhe laczy dogDQHrown foxs is a tes.t.cRecar'], ['The quick brown fox1, 2,1 he lazy dog.'], ['rrrThiTcQuick blThe quic jumps over thhe laczy dogDQHrown foxs is a tes.t.'], ['Racercar'], ['Quick broThe quick brown fox jumps over thhe lazy dogwn fox'], ['1, 2,1 3r, testing!'], ['Quick blTheRaaccecar quic cRecarjumps over thhe lazy dogDQHro1, 2, 31,t Racecartesting!wn fox'], ['!!Raceca1, 2,1 3, testing!!'], ['!!1, g2,1 3,n testi ng!!'], ['1, 2,1 3, tesetingQuick blThe quQuick blThe quic cRecarjumps over thhe lazy dogDQHrown foxic jumps oiver thhe lazy dogDQHrown fox'], ['1, 2,1 3r, testingThe quick brown fox1, 2,1 he lazy !'], ['rrQuick bfrown fox'], ['!!1,1, 2, 3, testing! 2,1 The quick brownR fox jumps over theRacThe quicmk brown fox jumps over the lazy dog.eca lag.3, testing!!'], ['Raceca!!1, 2,1 The quick brown fox jumps over the lag.c3, testing!!'], ['lDQHH'], ['1, 2,1 3, tesetingQuick blThe quic jump"}},"4f2e50612139c1863e11b3ea833ee9f0"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Hi'], ['hello'], ['Hello World!!!']]\n    results = ['Hi', 'ehllo', 'Hello !!!Wdlor']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(anti_shuffle)\n\n\n\nprint('___SENTINEL___')\n","eb32d7692d36f9a12176531c856fa8bb"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[[1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 1, 6], [1, 2, 3, 4, 5, 1]], 1], [[[1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6]], 2], [[[1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6], [1, 1, 3, 4, 5, 6], [1, 2, 1, 4, 5, 6], [1, 2, 3, 1, 5, 6], [1, 2, 3, 4, 1, 6], [1, 2, 3, 4, 5, 1]], 1], [[], 1], [[[1]], 2], [[[], [1], [1, 2, 3]], 3], [[[], [], [], []], 10], [[[1, 2, 3], [4, 5, 6]], 5], [[[1, 1], [1, 2, 3], [4, 5, 6, 7]], 1], [[[1, 0, 4], [4, 8, -1, 1], [0], [5, 5, 5, -3]], 0], [[[0, 0, 0, 0, 0], [0, 1, 2], [0, 1, 2, 3, 4, 5, 6, 7, 8], [], [0, 0, 0]], 0], [[[1, 2, 3], [4, 5, 6], [7, 8]], 3], [[], 5], [[[], [], []], 1], [[[1, 2], [2, 3, 4], [4, 5, 6, 7], [7, 8, 9, 10, 11]], 4], [[[1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3], [4, 4], [5, 5, 5, 5, 5, 5, 5, 5]], 5], [[[1, 2], [2, 3, 4], [4, 5, 6, 6, 7], [4, 5, 6, 6, 7], [7, 8, 9, 10, 11], [2, 3, 4]], 4], [[[], [], []], 6], [[[0, 0, 0, 0, 0], [0, 1, 2], [0, 1, 2, 3, 4, 5, 6, 7, 8], [], [0, 0, 0]], -1], [[[3, 1, 2, 3], [4, 5, 6]], 5], [[[1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3], [4, 4], [5, 5, 5, 5, 5, 5, 5, 5], [2, 2, 2, 2, 2]], 5], [[[], [], [], []], 6], [[[], [False, True, True], []], 0], [[[1, 2], [2, 3, 4], [4, 5, 6, 7], [7, 8, 9, 10, 11], [7, 8, 9, 10, 11]], 4], [[[0, 0, 0, 0, 0], [0, 1, 2], [70.62468430869876], [0, 1, 2, 3, 4, 5, 6, 7, 8], [], [0, 0, 0]], 0], [[[], [False, True, True], []], -1], [[[1, 2], [2, 3, 4], [4, 5, 6, 7], [7, 8, 9, 10, 11]], 9], [[[0, 0, 0, 0, 0], [0, 1, 2], [0, 1, 2, 3, 4, 5, 6, 7, 8], [], [-1, 0, 0, 0, 0]], 3], [[[1, 2, 3], [7, 8, 7]], 3], [[[[False, False, True, True, False, False, True, False, True, True]], [0, 0, 0, 0, 0], [0, 1, 2, 0], [0, 1, 2, 0], [0, 1, 2, 3, 4, 5, 6, 7, 8], [], [-1, 0, 0, 0, 0]], 3], [[[0, 0, 0, 0, 0], [0, 1, 2], [0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 0, 0]], -1], [[[0, 0, 0, 0, 0], [0, 1, 2], [0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 0, 0], [0, 1, 2, 3, 4, 5, 6, 7, 8]], 0], [[[3, 1, 2, 3], [4, 5, 6], [3, 1, 2, 3]], 5], [[[0, 0, 0, 0, 0], [0, 1, 2], [0, 1, 2, 3, 4, 5, 6, 7, 8], [0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0]], -1], [[[], [], [-3, 35, 54, 0, -3, -92, 68, 7], [], []], 0], [[[1, 2], [2, 3, 4], [4, 5, 6, 7]], 9], [[[3, 1, 2, 3], [4, 5, 6]], 8], [[[1, 1], [1, 11, 3], [1, 11, 3], [4, 5, 6, 7]], 1], [[[3, 1, 2, 3], [4, 5, 6], [3, 1, 2, 3], [4, 5, 6]], 5], [[[0]], 1], [[[1]], 1], [[[1, 2], [2, 1, 3], [1, 3, 2, 1], [2, 1, 1]], 1], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 7], [[[1, 5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5]], 5], [[[], [], [], [], []], 1], [[[], [], [], [], []], 10], [[[1], [1], [1], [1]], 1], [[[1], [1], [1], [1]], 2], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 2], [[[2, 0]], 1], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 3], [[[]], 1], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 10], [[[], []], 0], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 10], [[[]], 0], [[[1, 2, 3], [3, 2, 1], [1, 2, 9, 3], [1, 2, 9, 3], [3, 2, 1], [1, 2, 3]], 3], [[[], []], -98], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 62], [[[0]], 0], [[[], [], [], []], 1], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], -27], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], -27], [[[], [], [], [], []], 0], [[[], [], [1], [1], [1]], 0], [[[3, 2, 1], [1, 2, 9, 3], [1, 2, 9, 3], [3, 2, 1], [1, 2, 3]], 7], [[[1, 3, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 62], [[[4, 3, 2, 5], [2, 1, 6]], -27], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 4], [[[1, 2, 7], [3, 2, 1], [1, 2, 7], [1, 2, 3], [3, 2, 1], [1, 2]], 10], [[[3, 2, 1], [1, 2, 9, 3], [3, 2, 1], [1, 2, 3]], 8], [[[1], [1], [1]], 1], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 8], [[[1, 5], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 10], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 9], [[[]], 7], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 49], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6], [2, 1, 6]], 0], [[[True, False, False], [], [], [], [], []], 1], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 5], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6], [2, 1, 6]], 9], [[[0]], 9], [[[1, 2, 3], [3, 2, 1], [1, 2, 1, 3], [1, 2, 1, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 5], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 34], [[], -89], [[[], [], [], [], []], 2], [[[1, 2, 3], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 5], [[], 10], [[[1, 2], [2, 1, 3], [2, 1, 1]], 1], [[[3, 2, 1], [3, 2, 2], [1, 2, 9, 3], [3, 2, 2], [1, 2, 3]], 8], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1]], -27], [[[], [], [-44.27424904738355, -45.679324832296906, 95.34516483790298, 21.648674306121123, -32.17970898728211, -8.081667034352762, -23.02295170209456, 80.76641310561561, 9.678829361211541, 68.16144984963583], [], [], []], 2], [[[], [], [], [], []], 62], [[[], [], [], [], [], []], -98], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 34], [[[]], 6], [[], 6], [[[1, 5, 3, 5, -66, 5, 9, 5, 11, 5, 13, 5]], 5], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1]], 3], [[[4, 3, 2, 5]], -27], [[[1, 2, 3], [3, 2, 1], [1, 2, 1, 3], [1, 2, 1, 3], [3, 2, 1], [1, 2, 3], [1, 2, 3]], 5], [[[True, False, False], [], [], [], [], []], 9], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 74], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3], [1, 2, 3]], 4], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3]], 45], [[[], [-7.55236098678059], [-7.55236098678059], [], [], [], []], -99], [[[False, True, False, True, True, False, True, False], [True, False, False], [], [], [], [], []], 1], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1]], -26], [[[1, 2], [1, 1], [2, 1, 3], [1, 1]], 1], [[[1, 2], [2, 1, 3], [4, 3, 2, 4, 5], [4, 3, 2, 4, 5], [2, 1, 6], [2, 1, 6]], 62], [[[-6, -38, 25, 3, 45]], 0], [[[], [], []], -98], [[[], [], []], 0], [[[], [-7.55236098678059], [-7.55236098678059], [], ['', 'uL', 'ksjvRqrLhyAOKkvpwcrWhP'], [], []], -99], [[[1, 2, 3], [3, 2, 1], [1, 2, 3], [3, 2, 1], [1, 2, 3], [1, 2, 3]], 2], [[], -1], [[[], []], 13], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], -73], [[[]], 8], [[[1, 5], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 44], [[[], [], [], []], 0], [[[], [], []], -1], [[[], [], [], []], 4], [[[5]], 5], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 0], [[[1, 1, 1], [1, 1, 1], [1, 1, 1]], 1], [[[1, 2, 3, 4], [1, 2, 3], [1, 2], [1]], 1], [[[], [], []], 5], [[[1, 2, 3, 4, 5]], 3], [[[1], [2], [3]], 2], [[[], [], [], [1, False, ['rKW', 'NJISO', '', 'GKBhmtgbr', 'oZg', 'wK'], 99.16010072704816, 'OXMYkjFnn', True, True, True, [[1, -16.90064763272207, -52.63553163835755, 80, -59], 6, 64.00391269191459, -27.552555259336174, False, 'VXnk', 1, [-74.08431048384021, 8.119517181553633, 24.987035577244157, -52.62309758224084, -65.04267587536296, -12.933482397247616, 81.74490543580112], 3, 13], 'KnXUmD'], []], 1], [[[1, 2], [2, 1, 3], [4, 3, 2, 5], [2, 1, 6]], 6], [[[], [], [1, False, ['rKW', 'NJISO', '', 'GKBhmtgbr', 'oZg', 'wK'], 99.16010072704816, 'OXMYkjFnn', True, True, True, [[1, -16.90064763272207, -52.63553163835755, 80, -59], 6, 64.00391269191459, -27.552555259336174, False, 'VXnk', 1, [-74.08431048384021, 8.119517181553633, 24.987035577244157, -52.62309758224084, -65.04267587536296, -12.933482397247616, 81.74490543580112], 3, 13], 'KnXUmD'], []], 1], [[[5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5]], 5], [[[-59, 0]], 1], [[[-59, 0]], 80], [[[2, 1], [1, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1]], 6], [[[1, 0], [1, 0]], 80], [[[], [-52.63553163835755, -20.85829830424977, -19.258305309776077, 99.16010072704816, 26.11260344815392, -59.365757443211244, 98.25223736083848], [], [], [], []], 10], [[[1], [1], [1], [1], [1]], 1], [[[1, 5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5, 3]], 0], [[[5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5], [5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5]], 4], [[], 0], [[[1, 2], [2, 1, 3], [1, 3, 2, 1], [2, 1, 1], [1, 2]], -95], [[[1], [1], [1], [1]], 9], [[[1, 5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 6, 5, 3]], 0], [[[1], [1], [1, 1], [1]], 2], [[[2, 1], [1, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1]], 7], [[[1], [1], [1], [1], [1]], 2], [[[1], [1], [1], [1]], 0], [[[2, 1], [1, 4, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1]], 7], [[[1], [1], [], [1]], 0], [[[1], [1]], 0], [[[1], [1], [1, 1], [1, 2], [1, 1]], 3], [[[1]], 10], [[[2, 1], [1, 2, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1]], 7], [[[2, 1], [1, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1]], 5], [[[80, 2, 1], [80, 2, 1], [1, 2], [80, 2, 1], [4, 3, 2, 5], [2, 1, 6], [80, 2, 1]], 5], [[[2, 1], [1, 2, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1], [2, 1]], 7], [[], 2], [[[1], [1], [11, 1], [1], [1]], 2], [[[2, 1], [1, 2, 2], [2, 1], [4, 3, 2, 5], [2, 1]], 8], [[[1], [1], [1, 1], [1]], 7], [[[1], [1], [2, 1], [2, 1], [1], [2, 1]], 11], [[[2, 0, 1], [1, 2], [2, 0, 1], [4, 3, 2, 5], [2, 1, 6], [2, 0, 1]], 6], [[[1, 2], [2, 1, 3], [1, 3, 2, 1], [2, 1, 1], [1, 2]], -96], [[[-59, 0], [-59, 0]], 80], [[[], [1], [1], [1], []], 1], [[[2, 2], [1, 2], [2, 2], [4, 3, 2, 5], [2, 1, 6], [2, 2], [2, 2]], 5], [[[1], [1], [11, 1], [1]], 2], [[[1, 2], [2, 1, 3], [1, 3, 2, 1], [2, 1, 1], [1, 2], [1, 2]], 11], [[], -96], [[[1], [1], [11, 1]], 0], [[[1], [1], [-59, 11, 1]], 0], [[], -59], [[[1, 0], [1, 0], [1, 0]], 81], [[[1], [1], [-59, 11, 1]], 1], [[[1], [1, 1], [11, 1], [1, 1], [1]], 2], [[[2], [1, 2], [2], [4, 3, 2, 5], [2, 1, 6], [2], [2]], 5], [[[2, 1], [1, 2, 2], [1, 2, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1]], 7], [[[], [], [], [1, False, ['rKW', 'NJISO', '', 'GKBhmtgbr', 'oZg', 'wK'], 99.16010072704816, 'OXMYkjFnn', True, True, True, [[1, -16.90064763272207, -52.63553163835755, 80, -59], 6, 64.00391269191459, -27.552555259336174, False, 'VXnk', 1, [-74.08431048384021, 8.119517181553633, 24.987035577244157, -52.62309758224084, -65.04267587536296, -12.933482397247616, 81.74490543580112], 3, 13], 'KnXUmD']], 1], [[[1, 5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5], [1, 5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5]], 5], [[[1], [1], [-59, 11, 1]], 81], [[[1], [1], [1], [1], [1]], 0], [[[1]], 0], [[[1], [1], [], [1]], -28], [[[1, 0], [1, 0]], -32], [[[5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5], [5, 3, 5, 7, 5, 9, 5, 11, 5, 13, 5]], 5], [[[1, 1], [1], [1], [1], [1, 1], [1]], 2], [[[], [1], [1], [1], [], [1]], 1], [[[], [], [], [], []], -32], [[[2, 1, 1], [1, 2], [2, 1, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1, 1]], 6], [[[1], [1], [1]], 9], [[], 79], [[[1], [2, 1, 3], [1, 3, 2, 1], [2, 1, 1], [1]], -96], [[[-59]], 1], [[], -58], [[[], [1], [1], [1], [87.61431870060784, -74.08431048384021, -43.44191994241269]], 0], [[[1], [1], [], [1]], -1], [[[-59, 0], [-59, 0], [-59, 0]], 80], [[[2], [1], [11, 1], [1], [2]], 2], [[[2, 1], [4, 3, 3, 2, 5], [1, 2, 2], [2, 1], [4, 3, 3, 2, 5], [2, 1, 6], [2, 1], [2, 1]], 7], [[[1], [1], [1, 1], [1, 2], [1, 1]], 2], [[[2, 1], [1, 2, 2], [2, 1], [4, 3, 3, 2, 5], [2, 1, 6], [4, 3, 3, 2, 5], [2, 1], [2, 1]], 7], [[[], [-52.63553163835755, -20.85829830424977, -19.258305309776077, 99.16010072704816, 26.11260344815392, -59.365757443211244, 98.25223736083848], [True, False, False, True, True, False], [], [], [], []], -6], [[[1], [1], ['Qmiom', 'OXMYkjFnn', 'zxopRHtsCb', 'SPOKvaykqJ', 'ihaVTyy', 'OCr', 'yP', 'nCIHYIJiq'], [], [1]], -1], [[[2, 1], [1, 2, 2, 2], [2, 1], [4, 3, 2, 5], [2, 1, 6], [2, 1], [1, 2, 2, 2], [2, 1]], 7], [[[1], [0], [1], [0], [1]], 2], [[[1], [1], [1, 1], [79, 2], [1, 1]], 3], [[[False], [], [], [], []], -32], [[[1], [1], [1], [1]], 81], [[[1, 0], [1, 0], [1, 0], [1, 0]], 81]]\n    results = [[(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)], [(0, 1), (1, 1), (2, 1), (3, 1), (4, 1), (5, 1)], [(0, 0), (1, 0), (2, 1), (2, 0), (3, 2), (3, 0), (4, 3), (4, 0), (5, 4), (5, 0), (6, 5), (6, 0)], [], [], [(2, 2)], [], [(1, 1)], [(0, 1), (0, 0), (1, 0)], [(0, 1), (2, 0)], [(0, 4), (0, 3), (0, 2), (0, 1), (0, 0), (1, 0), (2, 0), (4, 2), (4, 1), (4, 0)], [(0, 2)], [], [], [(1, 2), (2, 0)], [(4, 7), (4, 6), (4, 5), (4, 4), (4, 3), (4, 2), (4, 1), (4, 0)], [(1, 2), (2, 0), (3, 0), (5, 2)], [], [], [(1, 1)], [(4, 7), (4, 6), (4, 5), (4, 4), (4, 3), (4, 2), (4, 1), (4, 0)], [], [(1, 0)], [(1, 2), (2, 0)], [(0, 4), (0, 3), (0, 2), (0, 1), (0, 0), (1, 0), (3, 0), (5, 2), (5, 1), (5, 0)], [], [(3, 2)], [(2, 3)], [(0, 2)], [(4, 3)], [], [(0, 4), (0, 3), (0, 2), (0, 1), (0, 0), (1, 0), (2, 0), (3, 2), (3, 1), (3, 0), (4, 0)], [(1, 1)], [], [(2, 3)], [], [], [(0, 1), (0, 0), (1, 0), (2, 0)], [(1, 1), (3, 1)], [], [(0, 0)], [(0, 0), (1, 1), (2, 3), (2, 0), (3, 2), (3, 1)], [], [(0, 11), (0, 9), (0, 7), (0, 5), (0, 3), (0, 1)], [], [], [(0, 0), (1, 0), (2, 0), (3, 0)], [], [(0, 1), (1, 1), (2, 1), (3, 1), (4, 1)], [], [(0, 2), (1, 0), (2, 2), (3, 0), (4, 2)], [], [], [], [], [], [(0, 2), (1, 0), (2, 3), (3, 3), (4, 0), (5, 2)], [], [], [(0, 0)], [], [], [], [], [], [], [], [], [], [], [], [(0, 0), (1, 0), (2, 0)], [], [], [], [], [], [], [(0, 0)], [], [], [], [], [], [], [], [], [], [(0, 0), (1, 1), (2, 2), (2, 1)], [], [], [], [], [], [], [], [], [(0, 11), (0, 9), (0, 7), (0, 5), (0, 3), (0, 1)], [(0, 2), (1, 0), (2, 2), (3, 0), (4, 2), (5, 0)], [], [], [], [], [], [], [], [(0, 6), (0, 4), (0, 3), (0, 1), (1, 0)], [], [(0, 0), (1, 1), (1, 0), (2, 1), (3, 1), (3, 0)], [], [], [], [], [], [(0, 1), (1, 1), (2, 1), (3, 1), (4, 1), (5, 1)], [], [], [], [], [], [], [], [], [(0, 0)], [], [(0, 2), (0, 1), (0, 0), (1, 2), (1, 1), (1, 0), (2, 2), (2, 1), (2, 0)], [(0, 0), (1, 0), (2, 0), (3, 0)], [], [(0, 2)], [(1, 0)], [(3, 7), (3, 6), (3, 5), (3, 0)], [(3, 2)], [(2, 7), (2, 6), (2, 5), (2, 0)], [(0, 10), (0, 8), (0, 6), (0, 4), (0, 2), (0, 0)], [], [], [(4, 2)], [], [], [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0)], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [(3, 3)], [(4, 3)], [], [], [], [], [], [], [(4, 2)], [], [], [(1, 0), (2, 0), (3, 0)], [(3, 3)], [], [], [], [], [], [], [], [(0, 0), (1, 0), (2, 2)], [], [(3, 3)], [], [(3, 7), (3, 6), (3, 5), (3, 0)], [(0, 11), (0, 9), (0, 7), (0, 5), (0, 3), (0, 1), (1, 11), (1, 9), (1, 7), (1, 5), (1, 3), (1, 1)], [], [], [], [], [], [(0, 10), (0, 8), (0, 6), (0, 4), (0, 2), (0, 0), (1, 10), (1, 8), (1, 6), (1, 4), (1, 2), (1, 0)], [], [(1, 0), (2, 0), (3, 0), (5, 0)], [], [(4, 2)], [], [], [], [], [], [], [], [], [(0, 0), (4, 0)], [], [(3, 1)], [], [], [], [], [], [], [], [], []]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(get_row)\n\n\nprint('___SENTINEL___')\n","954116a2ffb6382ee979dba74c6d1d23"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[[1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 1, 6], [1, 2, 3, 4, 5, 1]], 1], [[], 1], [[[], [1], [1, 2, 3]], 3]]\n    results = [[(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)], [], [(2, 2)]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(get_row)\n\n\n\nprint('___SENTINEL___')\n","83b2eb0d1379856518e6d4e57691ea44"]
[{"$cut":{"chars":79449,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[5]], [[2, 4, 3, 0, 1, 5]], [[2, 4, 3, 0, 1, 5, 6]], [[2, 1]], [[15, 42, 87, 32, 11, 0]], [[21, 14, 23, 11]], [[0, 0, 0, 0]], [[1, 2, 3, 4]], [[4, 3, 2, 1]], [[4, 2, 3, 1]], [[1, 9, 2, 8, 3, 7, 4, 6, 5]], [[1, 1, 1, 1, 1, 1, 1]], [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]], [[1, 2, 3]], [[5, 7, 9, 11]], [[30, 20, 10, 5]], [[0, 1, 11, 0, 0, 0]], [[7, 9, 11]], [[7, 9, 9]], [[9, 7, 9]], [[30, 2, 20, 10, 5]], [[7, 9, 11, 11]], [[10, 9, 7, 9, 7]], [[1, 2, 3, 1]], [[1, 9, 2, 8, 3, 7, 4, 6, 5, 2]], [[1, 9, 2, 8, 3, 7, 4, 6, 5, 5]], [[3, 1, 9, 2, 8, 3, 7, 4, 6, 5]], [[7, 9, 7]], [[2, 3, 4]], [[0, 1, 2, 3, 3, 5, 6, 7, 8, 9, 3]], [[1, 1, 1, 1, 1, 1]], [[8, 9, 9, 7, 9]], [[30, 2, 20, 1, 5]], [[10, 7, 9, 11, 11, 9]], [[1, 2, 3, 1, 1]], [[9, 7]], [[1, 9, 2, 7, 3, 7, 4, 6, 5, 5]], [[1, 1, 1, 2, 8, 1, 5, 1, 1, 1]], [[1, 1, 1, 1, 1, 1, 1, 1]], [[1, 2, 3, 1, 1, 2]], [[2, 8, 7, 9, 9]], [[3, 1, 9, 2, 8, 3, 7, 3, 6, 5]], [[3, 1, 6, 9, 2, 8, 3, 7, 4, 6, 5, 1]], [[30, 20, 4, 5]], [[1, 2, 3, 2]], [[3, 1, 10, 6, 9, 2, 8, 3, 7, 4, 6, 5, 1]], [[1, 1, 1, 2, 8, 1, 5, 1, 1]], [[2, 1, 1]], [[7, 2, 3, 4]], [[1, 30, 2, 20, 1, 5]], [[4, 3, 3, 2, 1]], [[10, 7, 8, 9, 9, 11, 11, 11, 9]], [[0, 1, 20, 3, 3, 5, 6, 7, 9, 3]], [[1, 9, 2, 8, 3, 7, 4, 6, 5, 5, 8]], [[1, 2, 3, 2, 1, 1]], [[1, 2, 3, 2, 8, 6, 1, 1]], [[0, 1, 11, 0, 0, 5, 0]], [[1, 2, 3, 2, 3, 2]], [[0, 1, 2, 3, 4, 5, 6, 7, 7, 8, 9]], [[1, 3, 2, 8, 6, 1, 1]], [[1, 1, 0, 1, 1, 1]], [[0, 1, 2, 3, 5, 6, 7, 9, 3]], [[8, 9, 9, 9]], [[8, 10, 7, 9, 7]], [[5, 9, 11]], [[2, 1, 1, 1, 1, 1, 1]], [[2, 1, 1, 1, 1, 1, 1, 1, 1]], [[1, 9, 8, 3, 7, 4, 6, 5]], [[20, 10, 10, 10]], [[1, 9, 8, 7, 3, 7, 4, 6, 5]], [[1, 1, 1, 1, 1, 1, 1, 1, 1]], [[0, 1, 11, 0, 0, 5, 0, 0]], [[3, 1, 9, 2, 8, 3, 2, 7, 4, 6, 5]], [[9, 11]], [[1, 1, 1, 2, 8, 1, 5, 1, 1, 1, 1]], [[20, 10, 10, 10, 10, 20]], [[1, 7, 9, 7]], [[1, 2, 3, 2, 2, 3, 2]], [[5, 0, 1, 2, 3, 5, 6, 7, 10, 3]], [[1, 20, 3, 3, 5, 6, 7, 3]], [[20, 11, 12]], [[9, 7, 9, 7, 7]], [[30, 20, 4]], [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], [[1, 9, 2, 8, 3, 4, 6, 5, 5, 8]], [[1, 1, 2, 1, 1, 1, 1]], [[1, 1, 1, 2, 8, 1, 5, 1, 1, 2]], [[5, 5, 5]], [[20, 10, 10, 10, 10, 20, 20]], [[30, 20, 4, 5, 5, 4]], [[1, 7, 9, 7, 7]], [[1, 3, 3, 1, 1]], [[9]], [[3, 1, 1, 1, 1, 1]], [[8, 1, 1, 2, 8, 1, 5, 1, 1]], [[12, 11]], [[8, 1, 1, 2, 8, 1, 5, 1, 0]], [[5, 0, 1, 2, 2, 5, 6, 7, 10, 3]], [[20, 1, 5]], [[8, 1, 1, 2, 1, 5, 1, 0, 5]], [[2, 1, 1, 1, 1, 1]], [[8, 1, 1, 2, 8, 1, 5, 0, 0]], [[1, 2, 3, 3]], [[0, 5, 3, 6, 9, 8, 1, 12]], [[10, 20, 30, 40, 50, 60]], [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]], [[2, 2, 2, 3, 3, 3, 1, 1, 1]], [[11, 30, 20, 50, 40, 60]], [[11, 30, 20, 40, 50, 60]], [[10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110]], [[51, 3, 45, 7, 39, 11, 33, 15, 27, 19, 21]], [[2, 3, 4, 5, 6, 7, 8, 9, 1, 0]], [[10, 7, 4, 1, 8, 5, 2, 9, 6, 3, 0]], [[11, 30, 20, 40, 50]], [[2, 2, 2, 4, 3, 1, 3, 1, 1, 1, 2]], [[10, 20, 30, 41, 40, 60, 41]], [[0, 5, 3, 6, 9, 1, 12]], [[51, 3, 45, 7, 39, 11, 4, 26, 33, 14, 27, 19, 21]], [[8, 2, 2, 2, 4, 3, 1, 3, 1, 1, 1, 2]], [[0, 5, 3, 6, 9, 1, 12, 12]], [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1]], [[51, 3, 45, 7, 39, 11, 4, 26, 33, 14, 19, 21]], [[45, 30, 20, 40, 50, 60]], [[11, 30, 20, 40, 50, 60, 40]], [[10, 7, 4, 1, 8, 5, 2, 9, 6, 3, 0, 5]], [[20, 30, 40, 60]], [[10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 60]], [[0, 5, 3, 6, 9, 8, 1, 12, 12]], [[0, 3, 6, 9, 8, 1, 12]], [[45, 30, 40, 50, 60]], [[10, 7, "}},"09cf12a3ae1061eb7b24899ea17a6cb5"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[]], [[5]], [[2, 4, 3, 0, 1, 5]], [[2, 4, 3, 0, 1, 5, 6]]]\n    results = [[], [5], [0, 1, 2, 3, 4, 5], [6, 5, 4, 3, 2, 1, 0]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sort_array)\n\n\n\nprint('___SENTINEL___')\n","0146e1a3d7a942f7a783ea4e21457f4c"]
[{"$cut":{"chars":105560,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['hi'], ['asdfghjkl'], ['gf'], ['et'], ['faewfawefaewg'], ['hellomyfriend'], ['dxzdlmnilfuhmilufhlihufnmlimnufhlimnufhfucufh'], ['a'], ['abcde'], ['uvwxyz'], [''], ['test123'], ['1a2b3c'], ['hello world'], ['monitor'], ['abc'], ['kmt'], ['park'], ['mtkmt'], ['testpark123'], ['uvuvwxyzwxyz'], ['abcdetest123'], ['testpark1233'], ['parrte1a2b3cstpark123'], ['pamonitork'], ['uvwabcxyuz'], ['uvuvwxyzwxz'], ['t'], ['uvz'], ['kuvz'], ['kkuvz'], ['abct'], ['tes2tpark1233'], ['at'], ['tkmtkmtuvwabcxyuzmt'], ['uvuvwxyzwxzyz'], ['tkmtkmtuvwabuvuvwxyzwxzcxyuzmt'], ['tsest123'], ['uvutvwxyzwxzyz'], ['uvwparrkxyz'], ['tsest123aparrte1a2b3cstpark123'], ['abctabcde'], ['tes2testpark123tpark1233'], ['uvwabbczxyuz'], ['uvvz'], ['tsest123aparrte1a2b3cstpatrk123'], ['paabctak'], ['zz'], ['pararte1a2b3cstpark123'], ['pamonintork'], ['uvutvwxyzwxzyzabckuvz'], ['uvutvwzzxyzwxzyz'], ['tabcdtabcde'], ['uvwxwyz'], ['aabcde'], ['cpararte1a2b3cstpark1abct23'], ['tse3st23'], ['mtuvwxyzkmt'], ['tsest123aparrte1a2b3cstapark123'], ['cpaararuvvzte1a2b3cstpark1abct23'], ['tse32st23'], ['uvutvwxyzwxzyzabckumtkmtvz'], ['uvwaubcxyuz'], ['abuvutvwxyzwxzyzabckuvzct'], ['tes2testppark1233'], ['uvwxpaabctakyzuvutvuvutvwxyzwxzyzwxyzwxzywz'], ['xuvuvwxyzwxzyz'], ['wuvwxyz'], ['aabdcde'], ['uvwxyzwxyz'], ['cpararte1a2b3cstpark1abctuvwxpaabctakyzuvutvuvutvwxyzwxzyzwxyzwxzywz23'], ['tkumtkmtuvwabuvuvwxyzwxzcxyuzmt'], ['uvwxpaabctakyzuvutvuvutvwxyzwxzyztsest123aparrte1a2b3cstapark123wxyzwxzywz'], ['wuvwxyzz'], ['xzyzabckumtkmtvz'], ['zzz'], ['ts2e3st23'], ['uvzmonitorz'], ['t3se3'], ['uvutvwzzxz'], ['uvuvzwxyzwxz'], ['cpararteuvwxwyz1a2b3cstpark1abct23'], ['stsest123'], ['tsest123aparrte1a2b3cstapark1213'], ['uvutvwvxyzwxzuvwxpaabctakyzuvutvuvutvwxyzwxzyztsest123aparrte1a2b3cstapark123wxyzwxzywz'], ['kparrte1a2b3cstpark123'], ['pamonintorkpamonitoork'], ['tsestcpararte1a2b3cstpark1abct23123apa3'], ['abctest123'], ['xzyzauvwxyzwxyzbckumtzkmtvz'], ['1testpark1233'], ['tse32st233'], ['testtpark'], ['abuvutvwxystsest123zwxzyzabckuvzct'], ['kmuvwxpaabctakyzuvutvuvutvwxyzwxzyztsest123aparrte1a2b3cstapark123wxyzwxzywzt'], ['xzyzabckumtkmtvzz'], ['uvuvwxyzzyzpamonitork'], ['ut3se3vwxpaabctakyzuvutvuvutvwxyzwxzyzwxyzwxzywz'], ['abuvutvwxyzwxvzyzabckuvzct'], ['monitormuvvztkmt'], ['uvxwpuvuvwxyzwxyzarrkxyz'], ['uvwxzwyz'], ['monitomrmuvvztkmt'], ['parrte1a2b3cstpark123uvwabcxyuzuvwaxbbczxyuz'], ['uvutvwxyzwxzyzabckuvzabctest123'], ['parkk'], ['uvwabbcxzxyuz'], ['parrte1a2b3cst2park123'], ['bcd&^%'], ['thequickbrownfoxjumpsoverthelazydog'], ['abcdefghijklmnopqrstuvwxyz'], ['wxy'], ['yzzzzzzzzzzzzzzzzzzzzzzzzz'], ['hi    et a gf hellomyfriend'], ['thequickbrownfoxjumpsoverthelazydo'], ['hi    et a gf hellomyfrienhellod'], ['hello'], ['wxxy'], ['ho'], ['helo'], ['heti    get a gf hellomyfrienhellod'], ['helothequickbrownfoxjumpsoverthelazydo'], ['yzzzzzzzzzzzzzzzzzzzzzzzzzz'], ['hbcd&^%elo'], ['b&cd&^'], ['ythequickbrownfoxjumpsoverthelazydo'], ['hello heloworld'], ['heloworld'], ['abcdefghijklmnopqrstuvwxyzythequickbrownfoxjumpsoverthelazydo'], ['hi    et a rgf hellomyfrienhellod'], ['heti    get a gf hellomyferienhellod'], ['hi    et a gf helloetmyfrienhellod'], ['thi    et a gf helloetmyfrienhellodhequickbrownfoxjumpsoverthelazydog'], ['rgf'], ['abcdefghijklmnopqrstuvwxyzythequickbrhownfoxjumpsoverthelazydo'], ['helothequickbrownfoxumpsoverthelazydo'], ['abcdefghijklmnopqrstuvwxyzythequickbrhownfoxjumpsoverthelazydoe'], ['helothequickbrownfoxump"}},"182ba5dba0595de101c9653cce01cfbf"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['hi'], ['asdfghjkl'], ['gf'], ['et']]\n    results = ['lm', 'ewhjklnop', 'kj', 'ix']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(encrypt)\n\n\n\nprint('___SENTINEL___')\n","c758b43d0247b9bd89d788fd210d6879"]
[{"$cut":{"chars":44851,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4, 5]], [[5, 1, 4, 3, 2]], [[]], [[1, 1]], [[1, 1, 1, 1, 0]], [[-35, 34, 12, -45]], [[1, 2, 3, 4, 5, 6]], [[10, 8, 14, 9, 7, 15]], [[-5, -3, -2, -8, -1]], [[2, 2, 2, 2, 2, 2, 3, 3, 3, 3]], [[4, 4, 4, 4, 4, 4, 4]], [[2, 2, 2, 3, 3, 3]], [[5, 5, 5, 5, 1]], [[7, 6, 5, 4]], [[0, 0, 0, 0, 1, 1, 1]], [[1, 4, 2, 6, 9, 0, -1, -5]], [[4, 15, 4, 4, 3, 4, 4, 4]], [[7, 5, 4, 5]], [[7, 6, 5, 4, 4]], [[2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 2]], [[1, 4, 2, 6, 9, 0, -1, -5, 1]], [[5, 5, 5, -5, 5, 1]], [[4, 4, 4, 4, 4, 4, 4, 4]], [[2, 2, 1, 2, 2, 10, 2, 3, 3, 3, 3]], [[4, 4, 4, 5, 4, 4, 4]], [[1, 4, 10, 6, 9, 0, -1, -5, 1, -1]], [[1, 4, 2, 6, 9, 0, -1, -5, -5]], [[4, 15, 4, 4, 3, 4, 4, 4, 4]], [[5, 5, 2, 5, 5, 1, 5, 5]], [[6, 5, 5, 5, 1]], [[5, 5, 5, -5, 5, 1, 1]], [[5, 2, 5, 2, 5, 5, 5, 1, 5, 5]], [[-5, 5, 5, 5, -5, 5, 1]], [[9, 2, 2, 2, 3, 3, 3]], [[7, -2, 10, 4]], [[10, 8, 14, 9, 15]], [[13, 10, 8, 14, 9, 7]], [[3, 1, 4, 2, 6, 9, 0, -1, -5, -1]], [[2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 2, 2]], [[7, 6, 5, 4, 8, 4]], [[2, 2, 2, 2, 1, 1, 3, 3, 3, 3, 2, 2]], [[5, 2, 5, 5, 14, 5, 5]], [[10, 8, 14, 7, 9, 7, 15]], [[2, 2, 2, 2, 3, 1, 1, 3, 3, 3, 3, 2, 2, 2]], [[7, 15, 4, 4, 3, 4, 4, 4, 4]], [[2, 6, 9, 0, -1, -5, -5]], [[2, 2, 2, 2, 3, 1, 1, 3, 3, 3, 3, 2, 2, 2, 1]], [[5, 2, 5, 2, 5, 5, 10, 5, 1, 5, 5]], [[4, 4, 4, 4, 5, 4]], [[6, 6, 5, 5, 5, 1]], [[8, 14, 7, 9, 7, 15]], [[2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 2, 3]], [[4, 4, 4, 4, 4, 5, 4, 4]], [[10, 8, 14, 7, 9, 7, 7]], [[7, 15, 4, 4, 3, 4, 4, 4, 4, 3, 15]], [[10, 8, 14, 9, 14]], [[4, 4, 15, 4, 4, 5, 4]], [[4, 4, 5, 10, 4, 4, 10]], [''], [[8, 14, 7, 9, 7, 15, 7]], [[6, 5, 5]], [[1, 4, 2, 6, 9, 0, -1, -5, 9]], [[10, 8, 14, 9, 7, 10, 15]], [[4, 4, 15, 4, 4, 5, 4, 4]], [[5, 5, 5, 5, -5, 5, 1]], [[2, 2, 2, 2, 2, 2, 3, 4, 3, 3, 3]], [[10, 8, 14, 9, 7, 15, 9]], [[15, 4, 4, 3, 4, 4, 4]], [[2, 2, 2, 2, 3, 2, 1, 3, 3, 3, 3, 2, 2, 2, 1]], [[1, 4, 2, 6, -6, 9, -5, 9, 9]], [[7, 15, 4, 3, 4, 4, 4, 4, 3, 15]], [[7, 6, 5, 4, 4, 7]], [[7, 6, 5, 3, 4, 7]], [[1, 4, 2, 9, 0, -1, -5, -5]], [[8, 14, 7, 7, 15, 7]], [[7, 15, 4, 4, 4, 4, 4, 3, 15]], [[1, 4, 2, 8, 6, 9, 0, -1, -5]], [[-5, 5, -2, -8, -1]], [[10, 8, 14, 8, 7, 7, 9, 7, 7]], [[8, 14, 9, 7, 15, -8]], [[5, 6, 9, 0, -1, -8, -5, -5]], [[7, 6, 4, 4]], [[7, 6, 5, 3, 4, 7, 4]], [[8, 10, 8, 14, 8, 9, 7, 15, 9]], [[1, 4, 2, 2, 6, 9, 0, -1, -5, -5, -5]], [[4, 4, -1, 4, 4, 5, 4, 4]], [[3, 1, 4, 2, 6, 0, -1, -5, -1]], [[2, 2, 2, 3, 3, 2, 3, 3, 3, 3]], [[6, 5, 5, 5, 1, 5]], [[7, 6, 5, 4, 6, 7]], [[8, 14, -78, 7, 9, 7, 15, 7]], [[2, 3, 2, 1, 2, 2, 10, 2, 3, 3, 3, 3]], [[1, 4, 2, 6, 9, 0, -1, -5, 1, 6]], [[10, 8, 14, 10, 9, 7, 10, 15, 15]], [[2, 6, 10, 0, -1, -5, -5]], [[7, 6, 5, 3, 7]], [[8, 10, 8, 14, 9, 7, 15]], [[-5, -5, -3, -8, -1]], [[4, 4, -1, 4, 5, 5, 4, 4]], [[-8, 14, 6, 5, 3, 4, 7]], [[10, 14, 7, 5, 10, 7, 9, 7, 7]], [[8, 14, -78, 7, 9, 7, 15, 7, 7]], [[1, 2, -3, -4, 5]], [[1, 1, 1, 0, -1, -2, 2, 3]], [[11, 15, 13, 16, 12, 14, 15]], [[5, 3, 7, 8, 2, 1, 9, -1, -10, 0]], [[-10, -20, -30, -40, -50, -60, -70, -80, -90, -100, -110]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, -1, -2, -3, -4, -5, -6, -7, -8, -9, -10]], [[1, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23]], [[23, 21, 19, 17, 15, 13, 11, 9, 7, 5, 1]], [[1, 1, 1, 0, 0, -1, -1, -2, -2, 2, 3, 3, 4, 5, 5, 5, 6, 7, 7, 8]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, -1, -2, -3, -4, -5, -6, -7, -8, -10]], [[11, 15, 13, 16, 12, 10, 14, 15]], [[5, 3, 7, 8, -80, 1, 9, -1, -10, 0]], [[1, 1, 1, 0, -1, -2, 16, 2, 3]], [[1,"}},"02f6c933b3c49e2a615f666f612476eb"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4, 5]], [[5, 1, 4, 3, 2]], [[]], [[1, 1]]]\n    results = [2, 2, None, None]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(next_smallest)\n\n\n\nprint('___SENTINEL___')\n","6e923948d79f0b995347c79da31f2cf6"]
[{"$cut":{"chars":80277,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Hello world'], ['Is the sky blue?'], ['I love It !'], ['bIt'], ['I feel good today. I will be productive. will kill It'], ['You and I are going for a walk'], ['I am very happy today. I love spending time with my friends.'], ['I want to eat pizza for dinner. What do you think, should we order pizza?'], ['I enjoy reading books. They help me learn new things.'], ['I forgot my phone in the car. Oh no, now I have to go back and get it.'], ['In the morning, I like to have a cup of coffee to start my day off right. How about you?'], ['Have you ever gone skydiving before? I did it once and it was amazing.'], ['I think I want to try cooking something new for dinner tonight. Do you have any favorite recipes?'], ['The movie we saw last night was really good, but I think I would have enjoyed it more if I had some popcorn. Do you like popcorn?'], ['I love to read books. What about you?'], ['I have a lot of work to do today. I wish I could take a nap instead.'], ['The movie we saw last night was really good, but I think I would have enjoyed it more if I had some popicorn. Do you like popcorn?'], ['I am very happy today. I love s'], ['The movie we saw last night was really good, but I think I would have enjoyed it more if I had some popicorn. oDo you like popcorn?'], ['I forgot my phone in the car. Oh no, now I have to The movie we saw last night was really good, but I think I would have enjoyed it more if Ip had some popcorn. Do you like popcorn?and get it.'], ['I forgot my phone in the car. Oh no, now I have to The movie we saw last night was really good, but I think I would have enjoyed it more if Ip had some popcorn. Do you like popcorn?and get rit.'], ['I am very happy today. I love spending time with my friiends.'], ['The movie we saw last night was really good, but I think I would have enjoI am very happy today. I love spending time with my friiends.yed it more if I had some popicorn. Do you like popcorn?'], ['In the morning, I lI forgot my phone in the car. Oh no, now I have to go back and get it.ike to have a cup of coffee to start my day off right. How about you?'], ['The movie we saw last night was really good, but?'], ['I want to eat pizza for dinn. What do you think, s'], ['I have a lot of work to do today. I wish I could take a nap iI enjoy reading bo oks. They help me learn new things.nstead.'], ['I am very happy today. I love spending time with my friienI forgot my phone in the car. Oh no, now I have to The movie we saw last night was really good, but I think I would have enjoyed it more if Ip had some popcorn. Do you like popcorn?and get it.ds.'], ['I think I want to try cooking something new for dinner tonight. Do you have anoy favorite recipes?'], ['I forgot my phone in the car. Oh no, now I haI have a lot of work to do today. I wish I could take a nap iI enjoy reading bo oks. They help me learn new things.nstead.ve to go back and get it.'], ['I have today. I wish I could take a nap instead.'], ['I am very happy toroday. I love s'], ['I enjoy reading books. They help me learn newthings.'], ['I enjoy reading boorks. They help me learn newthings.'], ['The movie we saw last night was really goodThe movie we staw last night was really good, but I think I would have enjoI am very happy today. I love spending time with my friiends.yed it more if I had some popicorn. Do you like popcorn?, but?'], ['I enjoy reading books. TheyI think I want to try cooking something new for dinner tonight. Do"}},"844fb1ab5f9d6fd79027a8c23de44dc6"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Hello world'], ['The sky is blue. The sun is shining. I love this weather']]\n    results = [0, 1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_bored)\n\n\n\nprint('___SENTINEL___')\n","8d3dd654d433105aa651312a492c27c5"]
[{"$cut":{"chars":25861,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[2, 3, 1], [2.5, 2, 3], [1.5, 5, 3.5], [2, 6, 2], [4, 2, 2], [2.2, 2.2, 2.2], [-4, 6, 2], [2, 1, 1], [3, 4, 7], [3.0, 4, 7], [-1, 8, 7], [-2, -2, -4], [0, 0, 0], [1, 1, 1], [-3, -4, -7], [50, -20, -30], [-5, 10, -5], [7, 1, 8], [-2, 5, 7], [4, 5, 9], [-2, -1, -4], [-5, 8, 10], [-2, 1, 7], [-5, 8, 8], [7, 11, 11], [50, -19, -30], [-3, 8, -3], [-5, 50, -4], [8, 7, 8], [6, -30, 10], [6, 10, 6], [6, 6, 6], [-3, -4, -6], [6, 7, 7], [-3, -4, 9], [-5, 10, 10], [5, -4, -7], [8, 10, 6], [10, 6, 6], [-20, -5, 10], [-1, -4, -7], [0, 10, 0], [10, 8, -19], [-1, -4, -1], [-5, 50, 50], [-20, -4, 10], [0, 10, -5], [6, -6, 6], [7, 5, 11], [-4, 49, 50], [-1, -30, 7], [8, -30, 8], [5, -5, -7], [-2, -1, -31], [-4, 50, 10], [-5, -3, -3], [-1, 9, -5], [-4, -2, -4], [50, 50, 10], [5, -19, 10], [-2, -30, -30], [-5, -20, -5], [-4, -7, 50], [-5, 4, 4], [-20, -4, 9], [11, 11, 10], [-22, -4, 10], [50, 50, 11], [-2, -4, -2], [4, 6, -4], [50, -30, 49], [6, 5, -6], [-4, 4, 51], [-4, -4, -6], [8, -30, -19], [5, 51, -3], [7, 10, -5], [-5, 6, -4], [-30, -30, 49], [50, 11, 11], [5, -19, 9], [5, 3, 4], [9, -5, 10], [-4, 9, 1], [7, -5, -5], [50, 49, 49], [-7, -3, -4], [-31, 1, 7], [-4, 49, -6], [10, 10, 6], [-4, 11, -22], [5, -4, 10], [-31, 10, 6], [-5, 4, -5], [6, 4, 6], [-30, 49, 49], [-1, -31, -1], [12, -29, 6], [-7, 50, 11], [6, 11, 11], [1, 0, 1], [5, -3, -20], [10, -20, -5], [5, -4, -8], [-4, -8, -7], [-4, -20, 50], [-3, 9, -3], [-5, -3, 10], [3, 6, 3], [7, 12, 12], [-5, -3, -2], [100, 200, 300], [10, 10, 20], [2, 2, 2], [1, 2, 3], [-10, -15, -25], [100000, -50000, 50000], [143.7, -20, -123.7], [-999999999, 1000000000, 1], [0, -1, 0], [1, 2, 2], [-1, 10, 0], [-1, 9, 0], [100, 9, 298], [1000000000, -5, 1000000000], [-1, 1, -1], [10, -10, 20], [-1, 9, -1], [-4, 1000000000, -5], [200, 200, 300], [-123.7, -123.7, -123.04588347134523], [1, 1, 3], [-20, -123.04588347134523, -123.04588347134523], [100, 298, 298], [1, 300, 2], [3, 2, 3], [-1, -1, 9], [-1, 1, 0], [200, 300, 200], [298, 100, 300], [-5, -3, -5], [-122.24385010385771, -123.7, -123.04588347134523], [9, 1, 3], [-2, -3, -5], [100, 200, -15], [10, -2, 2], [0, 20, -10], [2, 0, 2], [3, 3, 2], [1, 10, -4], [100, 50000, 50000], [2, 2, 1], [1000000000, -5, -5], [-1, 11, 0], [9, 10, 9], [-123.7, -123.7, -123.7], [20, 200, 300], [10, 20, 20], [1, 10, 3], [10, 9, 298], [3, 3, 3], [-10, 1, 2], [-1, -1, -1], [1, 4, 3], [1, 100000, 3], [-1, 9, 298], [-15, -2, -2], [-123.04588347134523, -123.04588347134523, -123.04588347134523], [-10, 1, 1], [-5, -1, -6], [1, -4, 100000], [4, -5, 3], [10, 1, 0], [-2, -5, -5], [100, -16, 200], [99, 50000, -3], [1, 100, 2], [-10, 0, 2], [99, 200, 99], [0, 1, 10], [20, -10, -10], [-1, -6, -1], [-15, 20, 10], [-10, -25, -25], [1, 200, -999999999], [1, 2, 1], [99999, -50000, 50000], [-5, -2, -5], [99, -3, -3], [2, 1, 2], [-16, -17, -15], [-123.7, -123.04588347134523, -123.7], [-26, -25, -26], [10, -2, 20], [0, -2, 0], [-122.485440891432, -122.24385010385771, -122.485440891432], [1000000000, 11, 50000], [1, -20, 2], [9, -1, 10], [100, 99, 99], [-1, -3, -3], [-3, -3, 298], [-20, -123.04588347134523, -122.24385010385771], [2, 0, 50000], [10, 1, -2], [1, -19, -19], [10, 3, 3], [-10, -25, 10], [50000, -17, 0], [-20, -123.04588347134523, -20], [-26, 9, 0], [99, 11, -3], [9, 100000, 1000000000], [3, 4, 4], [-3, 3, -3], [-3, 4, -3], [1, 300, 3], [98, 98, 99], [20, -11, -9], [-1, 11, 99], [100, 1000000000, -5], [3, 200, 300], [9, 2, 3], [1000000000, -50000, -5]"}},"ec8fe594603dbba56c92cdeaa84a16df"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5, 2, 7], [3, 2, 2], [3, -2, 1], [3.6, -2.2, 2]]\n    results = [True, False, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(any_int)\n\n\n\nprint('___SENTINEL___')\n","e52e3137668c6f81eeba0062bbcd2559"]
[{"$cut":{"chars":175553,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['TEST'], ['Mudasir'], ['YES'], ['This is a message'], ['I DoNt KnOw WhAt tO WrItE'], ['abcdefghijklmnopqrstuvwxyz'], ['ZYXWVUTSRQPONMLKJIHGFEDCBA'], ['Python is awesome'], ['Quick brown fox jumps over the lazy dog'], ['The quick brown fox jumps over the lazy dog'], ['Every good boy does fine'], ['ABCDEF'], ['The cat in the hat'], ['to be or not to be'], ['Testing encode function'], ['ZYXWVUTSRQPONMLKJIABCDEFHGFEDCBA'], ['The cat in tabcdefghijklmnopqrstuvwxyzhe hat'], ['Python is awesmome'], ['PythEvery good boy does fineme'], ['The cat in th ehh'], ['The cat in tabcdefghijdklmnopqrstuvwxyzhe hat'], ['Quick brown fox jumps oyver the lazy dog'], ['afghijklmnopqrstuvwxyzABCDE'], ['The cat ZYXWVUTSRQPONMLKJIHGFEDCBAin th ehh'], ['to be or notZYXWVUTSRQPONMLKJIABCDEFHGFEDCBA to be'], ['ABCDThe cat in tabcdefghijklmnopqrstuvwxyzhe hatF'], ['ABCDTPythEvery good boy does finemehe cat in tabcdefghijklmnopqrstuvwxyzhe hatvF'], ['Thezo quick brown fox jumps over the lazy dog'], ['to be or notZYXWVUTSRQPabcdefghijklmnopqrstuvwxyzONMLKJIABCDEFHGFEDCBA to be'], ['The cat in th eh'], ['ElqlNnfv'], ['The cat hin th eh'], ['The cat in tabcdefghijdklmnopqrstuvwxyzhe haThe cat in th ehht'], ['ZYXWVUTSRQABCDEFPONMLKJIZYXWVUTSRQPONDCBA'], ['PythEvery good boy doee'], ['Tthe cat in tabcdefghijdklmnopqrstuvwxyzhe hat'], ['The cat in tabcgdefghijdklmnvwxyzhe haThe cat in th ehht'], ['The cat ZYXWVUTSRQPONMLKJIHGFEDLCBAin th ehh'], ['The quick brown fox jumps ovto be or notZYXWVUTSRQPabcdefghijklmnopqrstuvwxyzONMLKJIABCDEFHGFEDCBA to beer the lazy dog'], ['The quicQuick brown fox jumps over the  lazy dog the lazy dog'], ['abcdZYXWVUTSRQPONMLKJIABCDEFHGFEDCBAefghijklmnopqrstuvwxyz'], ['The cat hin th eThe cat in tabcdefghijklmnopqrstuvwxyzhe hath'], ['Every good nboy does fine'], ['ABCDThe rcat in tabcdefghijklmnopqrstuvwxyzhe hatF'], ['The cat in tabcThe cat in tabcgdefghijdklmnvwxyzhe haThe cat in th ehhtdefghijklmnopqrstuvwxyzhe hat'], ['to be or notZYXWVUTSRQPONMLKJIABCDEFHGFEDto be or not to beCBA to be'], ['ABCDThe stuvwxyzhe hatF'], ['ABCDThe cat in tabcdefghijklmn opqrstuvwxyzhe hatF'], ['afghPEythEvery good boy doeeijklmnopqrstuvwxyzABCDE'], ['ABCDTPythEvery good boy does finemehe cat in tabcdefghijklmnoZYXWVUTSRQABCDEFPONMLKJIZYXWVUTSRQPONDCBApqrstuvwxyzhe hatvF'], ['The cat in tabcgdefghijdklmnvwxABCDTPythEvery good boy does finemehe cat in tabcdefghijklmnopqrstuvwxyzhe hatvFyzhe haThe cast in th ehht'], ['to be or notZYXWVUTSRQPONMLKJIABCDEFo be'], ['PythEvery good boy dThe cat in th ehe'], ['Quicxk brown fox jumps oyver the lazy dog'], ['ABCDThe cat in tabcdefghijklmn opqrstuvwxABCDThe rcat in tabcdefghijklmnopqrstuvwxyzhe hatFyzhe hatF'], ['ABCDTPythEvery good boy does finemehe cat ibn tabcdefghijklmnopqrstPython is awesomeuvwxyzhe hatvF'], ['The cat hin afghPEythEvery good boy doeeijklmnopqrstuvwxyzABCDEth eh'], ['The cat abcdefghijklmnopqrstuvwxyzhin th eThe cat in tabcdefghijklmnopqrstuvwxyzhe hath'], ['The  caht in th eh'], ['ABCDTPythZYXWVUTSRQPONMLKJIABCDEFHGFEDCBAEvery good boy does finemehe cat in tabcdefghijklmnopqrstuvwxyzhe hatvF'], ['ABCDThe cat in tabcdefghijklmnopqrstuvwxyABCDTPythZYXWVUTSRQPONMLKJIABCDEFHGFEDCBAEvery good boy does finemehe cat in tabcdefghijklmnopqrstuvwxyzhe hatvFzhe hatF'], ['to be or notZrYXWVUTSRQPabcdefghijklmnopqrstuvwxyzONMLKJIABCDEFHGFEDCBA to be'], ['PythoThe cat in tabcgdefghijdklmnvwxABCDTPythEvery good boy does finemehe cat in tabcdefghijklmnopqrstuvwxyzhe"}},"60d25828f474a4df2e2a1743825d526c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['test'], ['This is a message']]\n    results = ['TGST', 'tHKS KS C MGSSCGG']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(encode)\n\n\n\nprint('___SENTINEL___')\n","cab82e81e2b2db6570753acba9dc6e37"]
[{"$cut":{"chars":136047,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[0, 3, 2, 1, 3, 5, 7, 4, 5, 5, 5, 2, 181, 32, 4, 32, 3, 2, 32, 324, 4, 3]], [[1, 0, 1, 8, 2, 4597, 2, 1, 3, 40, 1, 2, 1, 2, 4, 2, 5, 1]], [[1, 3, 1, 32, 5107, 34, 83278, 109, 163, 23, 2323, 32, 30, 1, 9, 3]], [[0, 724, 32, 71, 99, 32, 6, 0, 5, 91, 83, 0, 5, 6]], [[0, 81, 12, 3, 1, 21]], [[0, 8, 1, 2, 1, 7]], [[8191]], [[8191, 123456, 127, 7]], [[127, 97, 8192]], [[1, 2, 3, 4, 5, 6, 7, 8, 9]], [[10, 12, 73, 4, 6, 8, 10, 12]], [[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]], [[7, 9, 13, 17, 19, 23, 29, 31, 37, 41]], [[97, 101, 103, 107, 109, 113, 127, 131, 137, 139]], [[181, 233, 293, 307, 331, 367, 379, 397, 433, 449]], [[1, 2, 3, 5, 7, 11, 13, 17, 19, 23, 29]], [[0, 0, 0, 2, 5, 7, 11, 13, 17]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]], [[0, 1, 1, 3, 2, 3, 5, 8, 13, 21, 34]], [[1, 2, 3, 73, 5, 6, 7, 8, 9, 10]], [[0, 0, 0, 2, 5, 7, 11, 13, 16, 7]], [[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 34]], [[0, 1, 2, 3, 4, 5, 7, 7, 8, 9]], [[0, 0, 0, 2, 7, 13, 17]], [[0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 6]], [[97, 101, 103, 107, 109, 112, 127, 131, 137, 139]], [[0, 1, 2, 3, 4, 5, 127, 7, 7, 8, 9]], [[0, 11, 1, 2, 3, 4, 5, 7, 7, 8, 9, 7]], [[1, 2, 3, 4, 6, 7, 8, 107, 7]], [[10, 1, 2, 3, 73, 5, 6, 7, 8, 9, 73]], [[0, 0, 0, 2, 5, 7, 11, 13, 17, 2]], [[0, 2, 3, 5, 7, 11, 13, 17, 19, 23, 29]], [[233, 293, 307, 331, 367, 379, 397, 433, 449]], [[3, 101, 103, 107, 109, 112, 127, 131, 139]], [[0, 0, -1, 2, 5, 7, 11, 13, 17]], [[0, 29, 2, 3, 5, 7, 11, 13, 17, 19, 23, 29]], [[3, 101, 103, 107, 109, 112, 127, 9, 131, 139]], [[0, 0, 0, 2, 5, 7, 11, 0, 13, 16, 7]], [[1, 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 19]], [[10, 1, 2, 3, 73, 5, 6, 7, 8, 9, 74]], [[181, 293, 307, 330, 367, 379, 397, 433, 449]], [[3, 101, 97, 103, 100, 107, 109, 112, 127, 9, 131, 139]], [[0, 0, 0, 2, 5, 7, 11, 0, 13, 16, 12, 7]], [[10, 0, 2, 3, 73, 5, 6, 7, 8, 9, 73]], [[97, 101, 103, 107, 109, 112, 127, 131, 137, 139, 112]], [[10, 0, 2, 3, 73, 5, 6, 7, 8, 73]], [[0, 0, 0, 2, 5, 7, 11, 13]], [[17, 1, 2, 3, 4, 5, 127, 7, 7, 8, 9, 3]], [[0, 0, 139, 2, 5, 7, 11, 0, 13, 16, 12, 7]], [[181, 233, 293, 331, 367, 379, 397, 433, 449]], [[1, 2, 139, 3, 5, 7, 11, 13, 17, 19, 23, 29]], [[0, 29, 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 2]], [[0, 1, 2, 3, 4, 5, 7, 103, 8, 9]], [[0, 1, 3, 1, 3, 2, 3, 5, 8, 13, 21, 34]], [[16, 0, 0, 0, 2, 5, 7, 11, 13, 17, 2]], [[97, 101, 103, 107, 109, 112, 127, 131, 137, 139, 112, 112]], [[0, 0, 0, 2, 5, 7, 11, 13, 2, 5]], [[1, 2, 3, 5, 6, 11, 13, 17, 19, 23, 29, 19]], [[0, 2, 3, 5, 7, 11, 11, 13, 17, 19, 19, 23, 29, 2]], [[0, 1, 2, 3, 5, 8, 12, 21, 34, 6]], [[0, 2, 3, 5, 7, 11, 13, 17, 18, 19, 23, 29]], [[97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 112]], [[181, 293, 307, 330, 367, 379, 397, 433, 307]], [[17, 293, 307, 330, 367, 379, 397, 433, 307]], [[0, 2, 7, 13, 17]], [[1, 2, 3, 4, 3, 97, 6, 7, 8, 9]], [[1, 2, 139, 3, 5, 11, 13, 17, 19, 23, 29, 2]], [[137, 10, 12, 73, 4, 6, 8, 10, 12]], [[0, 0, 0, 2, 5, 7, 11, 13, 17, 17]], [[0, 0, 139, 2, 5, 7, 11, 0, 13, 16, 12, 7, 0]], [[0, 1, 3, 4, 5, 7, 103, 8, 9]], [[16, 0, 0, 2, 5, 7, 11, 13, 17, 2]], [[10, 1, 2, 433, 3, 73, 5, 6, 7, 8, 9, 73]], [[0, 1, 1, 2, 306, 3, 5, 8, 13, 21, 34, 0]], [[0, 2, 3, 5, 7, 11, 11, 13, 17, 19, 19, 23, 29, 2, 17]], [[0, 19, 1, 2, 306, 3, 5, 8, 13, 21, 34, 0]], [[0, 29, 2, 3, 5, 11, 13, 17, 4, 18, 23, 29, 2]], [[0, 2, 3, 5, 7, 3, 11, 13, 17, 19, 19, 23, 29, 2, 17, 18, 19]], [[0, 0, 139, 2, 5, 7, 11, 0, 13, 16, 12, 7, 14, 13]], [[10, 0, 14, 3, 73,"}},"c0b4094f603f12555264cc0bea42e24c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[0, 3, 2, 1, 3, 5, 7, 4, 5, 5, 5, 2, 181, 32, 4, 32, 3, 2, 32, 324, 4, 3]], [[1, 0, 1, 8, 2, 4597, 2, 1, 3, 40, 1, 2, 1, 2, 4, 2, 5, 1]], [[1, 3, 1, 32, 5107, 34, 83278, 109, 163, 23, 2323, 32, 30, 1, 9, 3]], [[0, 724, 32, 71, 99, 32, 6, 0, 5, 91, 83, 0, 5, 6]], [[0, 81, 12, 3, 1, 21]], [[0, 8, 1, 2, 1, 7]]]\n    results = [10, 25, 13, 11, 3, 7]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(skjkasdkd)\n\n\n\nprint('___SENTINEL___')\n","2117aa8384cb07367b7b67890cd12524"]
[{"$cut":{"chars":62418,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[{'p': 'pineapple', 'b': 'banana'}], [{'p': 'pineapple', 'A': 'banana', 'B': 'banana'}], [{'p': 'pineapple', '5': 'banana', 'a': 'apple'}], [{'Name': 'John', 'Age': '36', 'City': 'Houston'}], [{'STATE': 'NC', 'ZIP': '12345'}], [{'fruit': 'Orange', 'taste': 'Sweet'}], [{}], [{'FIRST_NAME': 'John', 'LAST_NAME': 'DOE', 'AGE': 35, 'CITY': 'NEW YORK', 'INCOME': '$50,000'}], [{'first_name': 'John', 'last_name': 'Doe', 'age': 35, 'city': 'New York', 'income': '$50,000'}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 35, 'cItY': 'new york', 'Income': '$50,000'}], [{'first_name': 'John', 'Last_Name': 'Doe', 'Age': 35, 'city': 'New York', 'Income': '$50,000', 'FIRST_NAME': 'Jane'}], [{'1': 'apple', '2': 'banana', '3': 'cherry'}], [{'orange': 'fruit'}], [{'8': 'banana'}], [{'yellow': 'color'}], [{'2019': 'year'}], [{'PI': 3.14159}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 35, 'Income': '$50,000'}], [{'first_name': 'John', 'Last_Name': 'Doe', 'city': 'New York', 'FIRST_NAME': 'cherry'}], [{'first_name': 'John', 'Age': 35, 'city': 'New York', 'Income': '$50,000', 'FIRST_NAME': 'Jane'}], [{'2019': 'yeyar'}], [{'1': 'apple', '2': 'banana', '3': 'cherry', 'Income': 'chINCEOMEerry'}], [{'FIRST_NAME': 'John', 'LAST_NAME': 'DOE', 'AGE': 35, 'CITY': 'NK', 'INCOME': '$50,000'}], [{'first_name': 'John', 'Last_Name': 'Dooe', 'Age': 35, 'city': 'New York', 'Income': '$50,000', 'FIRST_NAME': 'Jane', '1': 36, 'Incyellowome': 'INCOMEJohn'}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 'D', 'cItY': 'new york', 'Income': '$50,000'}], [{'first_name': 'John', 'Last_Name': 'Dooe', 'Age': 35, 'city': 'New York', 'Income': '$50,000', 'FIRST_NAME': 'Jane', 'Incyellowome': 'INCOMEJohn'}], [{'FIRST_NAME': 'John', 'LAST_NAME': 'DOE', 'AGE': 35, 'CITY': 'NEW YORK', 'INCOME': '$50,000', 'COME': '$50,0000'}], [{'first_name': 'John', 'Age': 35, 'city': 'New York', 'Income': '$50,000', 'FIRST_NAME': 'Jane', '1': 36, 'Incyellowome': 'INCOMEJohn'}], [{'1': 'apple', '2': 'banana', '3': 'cherry', 'Income': 'New York'}], [{'yellow': 'color', 'yell': 'clor'}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 35, 'cItY': 'new yorok', 'Income': '$50,000', 'cItIY': 36}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 'D', 'cItY': 'new yorAgek', 'Income': '$50,000'}], [{'FIRST_NAME': 'John', 'LAST_NAME': 'DOE', 'AGE': 35, 'INCOME': '$50,000'}], [{'2': 'banana', '3': 'cherry', 'Income': 'New York', '$50,000': 'chrerry', 'Inconme': 'bana'}], [{'first_name': 'John', 'last_name': 'Doe', 'age': 35, 'city': 'New York', 'income': '$50,000', 'ageage': 'Dooe'}], [{'FIRST_NAME': 'John', 'LAST_NAME': 'DOE', 'AGE': 35, 'CITY': 'NK', 'INCOME': '$50,000', '1': 35}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 'D', 'cItY': 'new yorAgek', 'Income': '$50,000', 'IncIome': 'FIRST_NAME'}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 'D', 'cItY': 'new yorAgek', 'Income': '$50,000', 'LASTNAE': 'new yorAgeIncIomek'}], [{'2': 'banana', '3': 'cherry', 'Income': 'New York'}], [{'first_name': 'John', 'Last_Name': 'Doe', 'Age': 35, 'city': 'new yorAgek', 'Income': '$50,000', 'FIRST_NAME': 'Jane'}], [{'firstName': 'John', 'LASTNAME': 'DOE', 'Age': 'D', 'cItY': 'new yorAgek', 'IncIome': 'FIRST_NAME'}], [{'first_name': 'John', 'last_name': 'Doe', 'age': 35, 'city': 'New York', 'income': '$50,000', 'ageage': 'Dooe', 'new yorok': '8'}], [{'firstName': 'John', 'LASTNAME': 'DDOE', 'Age': 'D', 'cItY': 'new yorAgek', 'Income': '$50,000', 'IncIome':"}},"709536c7b80c4a8e09d7edfc02dac892"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[{'a': 'apple', 'b': 'banana'}], [{'a': 'apple', 'A': 'banana', 'B': 'banana'}], [{'a': 'apple', 8: 'banana'}], [{'Name': 'John', 'Age': '36', 'City': 'Houston'}], [{'STATE': 'NC', 'ZIP': '12345'}]]\n    results = [True, False, False, False, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(check_dict_case)\n\n\n\nprint('___SENTINEL___')\n","e7bc128dcd3f097d5735863dacd18be9"]
[{"$cut":{"chars":319181,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5], [6], [7], [10], [0], [22], [1], [18], [47], [101], [2], [3], [12], [17], [50], [500], [1000], [25], [30], [100], [999], [49], [19], [13], [499], [998], [1001], [99], [31], [16], [48], [997], [498], [15], [11], [83], [51], [996], [995], [24], [98], [102], [52], [82], [14], [97], [81], [29], [96], [28], [20], [23], [26], [4], [497], [46], [32], [27], [103], [21], [45], [501], [73], [95], [104], [1002], [74], [84], [8], [53], [77], [496], [91], [94], [76], [75], [78], [9], [105], [106], [85], [495], [107], [108], [79], [93], [494], [109], [90], [89], [92], [54], [33], [86], [502], [110], [44], [72], [200], [10000], [15700], [7919], [150], [152], [9999], [15702], [10001], [151], [9998], [153], [149], [15701], [148], [199], [198], [154], [10002], [9997], [10003], [155], [197], [156], [15703], [157], [158], [503], [10004], [55], [15704], [15706], [10005], [147], [56], [15699], [201], [39], [63], [40], [10006], [159], [7920], [10007], [7918], [196], [15698], [38], [504], [7917], [146], [15705], [195], [1003], [61], [7916], [10008], [87], [37], [145], [62], [60], [15697], [15696], [15695], [15694], [88], [202], [35], [9996], [1004], [994], [68], [67], [69], [80], [36], [15693], [66], [58], [15692], [203]]\n    results = [[2, 3], [2, 3, 5], [2, 3, 5], [2, 3, 5, 7], [], [2, 3, 5, 7, 11, 13, 17, 19], [], [2, 3, 5, 7, 11, 13, 17], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97], [], [2], [2, 3, 5, 7, 11], [2, 3, 5, 7, 11, 13], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181, 191, 193, 197, 199, 211, 223, 227, 229, 233, 239, 241, 251, 257, 263, 269, 271, 277, 281, 283, 293, 307, 311, 313, 317, 331, 337, 347, 349, 353, 359, 367, 373, 379, 383, 389, 397, 401, 409, 419, 421, 431, 433, 439, 443, 449, 457, 461, 463, 467, 479, 487, 491, 499], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181, 191, 193, 197, 199, 211, 223, 227, 229, 233, 239, 241, 251, 257, 263, 269, 271, 277, 281, 283, 293, 307, 311, 313, 317, 331, 337, 347, 349, 353, 359, 367, 373, 379, 383, 389, 397, 401, 409, 419, 421, 431, 433, 439, 443, 449, 457, 461, 463, 467, 479, 487, 491, 499, 503, 509, 521, 523, 541, 547, 557, 563, 569, 571, 577, 587, 593, 599, 601, 607, 613, 617, 619, 631, 641, 643, 647, 653, 659, 661, 673, 677, 683, 691, 701, 709, 719, 727, 733, 739, 743, 751, 757, 761, 769, 773, 787, 797, 809, 811, 821, 823, 827, 829, 839, 853, 857, 859, 863, 877, 881, 883, 887, 907, 911, 919, 929, 937, 941, 947, 953, 967, 971, 977, 983, 991, 997], [2, 3, 5, 7, 11, 13, 17, 19, 23], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97], [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113, 127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181, 191, 193, 197, 199, 211, 223, 227, 229, 233, 239, 241, 251, 257, 263, 269, 271, 277, 281, 283, 293, 307, 311, 313, 317, 331, 337, 347, 349, 353, 359, 367, 373, 379, 383, 389, 397, 401, 409, 419, 421, 431, 433, 439, 443, 449, 457, 461, "}},"df6c0ec8933c82b224fc824f3f9bea6a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5], [11], [0], [20], [1], [18]]\n    results = [[2, 3], [2, 3, 5, 7], [], [2, 3, 5, 7, 11, 13, 17, 19], [], [2, 3, 5, 7, 11, 13, 17]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(count_up_to)\n\n\n\nprint('___SENTINEL___')\n","a1036deb0025360f02bfdc64c33f5c7a"]
[{"$cut":{"chars":22026,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[148, 412], [19, 28], [2020, 1851], [14, -15], [76, 67], [17, 27], [0, 1], [0, 0], [-6, -9], [-87, 5], [39, 25], [1, 100], [-15, -12], [-5, 9], [-12, -16], [0, 8], [8, 0], [123, 321], [-6, -5], [-9, 0], [8, 8], [-87, -87], [123, -12], [5, 25], [1, 0], [1, -16], [125, 124], [-6, -4], [123, 5], [8, -9], [124, 100], [-7, -9], [-7, -6], [8, -16], [8, -10], [0, -7], [-15, -6], [-86, -87], [-15, -7], [0, -9], [1, 1], [9, 25], [5, -5], [-12, -12], [-8, -9], [-5, 8], [125, 125], [-16, 5], [-11, -12], [-4, -4], [-12, -13], [-86, -86], [124, 99], [-4, -5], [5, 8], [123, 123], [-9, -9], [5, 100], [-5, -4], [-16, -16], [100, 99], [-15, -15], [-87, -86], [8, -4], [25, -9], [-15, 8], [-9, -10], [8, -8], [0, -6], [124, 124], [-8, -10], [1, 6], [-9, -5], [-6, -8], [9, 9], [-12, 0], [9, 5], [-5, -5], [100, 100], [-86, -12], [123, -8], [125, -6], [124, 98], [5, -86], [-13, -4], [-86, 5], [123, -3], [-15, -11], [5, 5], [25, 8], [-87, 321], [-86, 100], [9, -16], [5, 123], [9, -12], [-9, 99], [124, -7], [124, 8], [5, -15], [-17, -16], [-5, -3], [-17, -87], [-17, 1], [124, -8], [-8, -86], [-10, -10], [-17, 3], [1234567890, 9876543210], [-9876543210, 1234567890], [1092387465, 2938475610], [246813579, -975312468], [-99, -99], [-12345, 6789], [987654, -123457], [-987654, -123457], [1234567890, 1234567890], [1092387465, 2938475609], [6789, 6789], [1234567890, 9876543211], [2938475610, 6789], [-987654, -987654], [1092387465, 987654], [-16, -17], [6787, 6788], [987655, -123457], [2938475609, 3], [-16, -99], [-987655, -987654], [3, 2938475610], [-17, 2], [-9876543210, -987654], [2, -123457], [987654, 987654], [-99, -17], [2938475611, 6789], [-99, 987654], [-987655, -99], [-17, -17], [-975312468, 1234567892], [2938475610, -975312468], [2, -99], [6790, 6789], [2938475610, 2938475609], [-123457, -17], [3, 3], [3, -12345], [6786, -10], [-16, 6786], [3, 2938475609], [1234567891, 9876543210], [2938475610, -16], [2938475609, -10], [-12345, -12346], [987654, -12347], [6790, 6790], [2938475610, -12346], [246813579, 2938475610], [2938475610, 2938475610], [-10, 6789], [6787, 6787], [9876543210, -99], [-12345, 246813579], [-975312468, 6790], [1234567891, 9876543211], [6788, 6788], [-10, 6787], [-99, 3], [987653, 987653], [2938475610, 9876543210], [1234567892, -123457], [1234567890, 1234567891], [987653, -12345], [6788, 6787], [987654, -10], [-123457, -123457], [-123457, 2], [1092387466, 987654], [-12345, -12345], [6787, 1092387466], [-99, 6790], [2938475609, 9876543209], [-975312468, 9876543209], [-975312467, 246813579], [-975312468, 6789], [-9876543210, -9876543210], [-975312468, 6788], [9876543210, 9876543210], [246813579, -17], [1092387465, 1234567892], [-123458, -123457], [2, 3], [-123457, 1], [6787, -12346], [6788, 9876543210], [-975312468, -975312468], [-99, 1092387466], [9876543211, 2938475610], [2938475610, -10], [-99, 1234567890], [6788, 987655], [1234567891, -975312468], [9876543209, -17], [6788, 3], [-12347, -123457], [-987655, -123457], [987653, 9876543209], [987655, 6789], [6790, 2938475610], [-987655, 987655], [2938475610, 9876543211], [6788, 9876543209], [9876543209, 6787], [-975312468, 246813579], [1092387466, 1092387466], [3, 4], [2938475611, -11], [9876543211, 9876543210], [2938475609, 9876543210], [987654, 6789], [2938475611, 2938475611], [6788, -16], [-12346, -12346], [987653, 6789], [987654, -123458], [1234567889, -987654], [-11, -9876543210], [-99, 9876543211], [1234567891, -12347], [1234567892, -975312469],"}},"11321e0a8bc50cbb5f96fb625fb2f640"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[148, 412], [19, 28], [2020, 1851], [14, -15]]\n    results = [16.0, 72.0, 0.0, 20.0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(multiply)\n\n\n\nprint('___SENTINEL___')\n","a6309c84829365676f43210ef2921a1b"]
[{"$cut":{"chars":171831,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['aBCdEf'], ['abcdefg'], ['dBBE'], ['B'], ['U'], [''], ['EEEE'], ['DbdOH'], ['abcDEf'], ['AEOIU'], ['XYZ'], ['uEi'], ['ABCD'], ['hhEErrRR'], ['AbCdEfGhIjKlMnOpQrStUvWxYz'], ['UOIEA'], ['bbcefg'], ['AbCdEOfGhIjKlMnOpQrStUvWxYz'], ['AAEOIUBCD'], ['AbCdEfGhIjKlMnOpQrStUv'], ['AbCdEfGhIjKlMABCDnOpQrStUv'], ['ABCAbCdEfGhIjKlMABCDnOpQrStUabcDEfvD'], ['CABCD'], ['AEOIUIEA'], ['AbCdEfGhIjKlabcDEfMnOpQrStUvWxYz'], ['uEiAEOIU'], ['DbdOHUOIEA'], ['AEABCAbCdEfGhIjKlMABCDnAbCdEfGhIjKlabcDEfMnOpQrStUvWxYzOpQrStUabcDEfvDOIUIEA'], ['AbCdEOStUvWxYz'], ['AAEOOIUBCD'], ['CDbdOHUOIEAABCD'], ['AbCdEOfGhIjKlMnOStUvWxYz'], ['hABCDhEErrRR'], ['AUEOIUIE'], ['AbCdEOhhEErrRRStUvWxCDbdOHUOIEAABCDYz'], ['AAEIOOIUBCD'], ['DbdOHUOIIEA'], ['AbCdEIfGhIjKlabcDEfMnOpQrStUvWxYz'], ['AAEOIUBCAAEIOOIUBCDD'], ['UOIAEA'], ['ABCAnbCdEfGhIjKlMABCDnOpQrStUabcDEfvD'], ['AfbCdEOhhEEAbCdEIfGhIjKlabcDEfMnOpQrStUvWxYzrrRRStUvWxCDbdOHUOIEAABCDYz'], ['AAEIOOIAbCdEfGhIjKlMnOpQrStUvWxYzCD'], ['UUOIAEA'], ['hhEAAEOIUBCDErrRR'], ['ABCAbCdEfGhIjKlMABCAbCdEfGhIjKlMnOpQrStUvDnOpQrStUabcDEfvD'], ['AbCdEOfGhIjKlMnOpQrStWxYz'], ['AbCdEOfGhIjKlMnOpQrStUvWxhhEErrRRYz'], ['AbCAbCdEOhhbEErrRRStUvWxCDbdOHUOIEAABCDYzdEfGhIjKlMnOpQrStUv'], ['hABCDhEErrURRAEOIU'], ['AbCAbCdEOhhbEErrRRStUvWxCDbdOHUOIEAABCDYzdEfGhIjKlMnOpQrSCtUv'], ['AfbCdEOhhEEAbCdEIfGhIjKlabcDfEfMnOpQrStUvWxYzrrRRStUvWxCDbdOHUOIEAABCDYz'], ['AbCdEOhhEErrRRStUvWxCDbAbCdEOfGhIjKlMnOStUvWxYzdOHUOIEAABCDYz'], ['AbxCdEfGhIjKlabcDEfMnOpQrStUvWxYz'], ['AbCdEOAbCdEIfGhIjKlabcDEfMnOpQrStUvWxYzStUvWWxYz'], ['AbCdEOStUvWxYzlMnOpQrStUvWxYz'], ['DbdOHUIOIEA'], ['AbCdEOfGABCAnbCdEfGhIjKlMABCDnnOpQrStUabDbdOHcDEfvDhIjKlMnOpQrStWxYz'], ['AbCdEOfGhIjKlMnOpQrSntWxYz'], ['AfbAbCdEIfGhIjKlabcDfEfMnOpQrStUvWxYzrrRRStUvWxCDbdOHUOIEAABCDYz'], ['AbCdEOfGhIjKlMnOpQrStUvWxhhEErrERRYz'], ['uEiiAEOIU'], ['hABChDhEEArrrURRAEOIU'], ['AfbCdEOhhEEAbCdEIfGhIjKlabcDfEfMnOpQrStUvWxYzrnrRRStUvWxCDbdOHUOIEAABCDYz'], ['AbCdEOfGABCAnbCdEfGhIjKlMABCAfbCdEOhhEEAbCdEIfGhIjKlabcDEfMnOpQrStUvWxYzrrRRStUvWxCDbdOHUOIEAABCDYznOpQrStUabDbdOHcDEfvDhIjKlMnOpQrStWxYz'], ['DbdH'], ['AfbCdEOhhEEAbCdEIfGhIjKlabcDfEfMnOAAEIOOIUBCDpQrStUvWxYzrrRRStUvWxCDbdOHUOIEAABCDYz'], ['AbCdEfGhIjKlMABtCDnOpQrStUv'], ['AAEOIUBCAAEIOOIUBCDBD'], ['AAEAbCdEfGhIjKlMABtCDnOpQrStUvOIUBCD'], ['AfbCdEOhhEEAbCdEIfGhIjKlabcDfEfMnOpQrStUvWxYzrnrRAbCdEOhhEErrRRStUvWxCDbdOHUOIEAABCDYzRStUvWxCDbdOHUOIEAABCDYz'], ['uEiiAEuOIU'], ['AAAEOIUBCAAEIOOIUBCDDbCdEOfGABCAnbCdEfGhIjKlMABCDnnOpQrStUabDbdOHcDEfvDhIjKlMnOpQrStWxYz'], ['AfbAbCdEIfIjKlabcDfEfMnOpQrStUvWxYzrrRRStUDbdOHUOIIEAvWxCDbdOHUOIEAABCDYz'], ['AbCAbCdEOStUvWxYzlMnOpQrStUvWxYhIjKlMnOStAbCdEOfGhIjKlMnOpQrStUvWxhhEErrRRYzWxYz'], ['uEiAEOAbCdEOhhEErrRRStUvWxCDbdOHUOIEAABCDYzIU'], ['AbCdEOfGABCAnbCdEfGhIjKlMABCAfbCdEOhhEEAbCdEIfGhIjDhIjKlMnOpQrStWxYz'], ['AfbCdEOhhxEEAbCdEIfGhIjKlabcDEfMnOpQrStUvWxYzrrRRStUvWxCDbdOHUOIEAABCDYz'], ['AfbCdEOhhEEAbCdEIfGhIjKlabcDfEfMnOpQrStUvWxYzrrRRStUvWhhEAAEOIUBCDErrRRxCDbdOHUOIEAABCDYz'], ['AbCdEOhhEErrRRStUvWxKlMnOStUvWxYzdOHUOIEAABCDYz'], ['AfbAbCdEIfIjKlabcDfrEfMnOpQrStUvWxYzrrRRStUDbdOHUOIIEAvWxCDbdOHUOIEAABCDYz'], ['bAfbCdEOhhEEAbCdEIfGhIjKlaAbCdEOfGhIjKlMnOpQrSntWxYzAbCAbCdEOStUvWxYzlMnOpQrStUvWxYhIjKlMnOStAbCdEOfGhIjKlMnOpQrStUvWxhhEErrRRYzWxYzfMnOpQrStUvWxYzrnrRAbCdEOhhEErrRRStUvWxCDbdOHUOIEAABCDYzRStUvWxCDbdOHUOIEAABCDYzbcefg'], ['UOabcDEfIAEA'], ['AfbCdEDOhhEEAbCdEIfGhIjKlabcDfEfMAbCAbCdEOhhbEErrRRStUvWxCDbdOHUOIEAABCDYzdEfGhIjKlMnOpQrStUvnOAAEIOOIUBCDpQrStUvWxYzrCrRRStUvWxCD"}},"ed9041ab9fc9b9cb3435c28672c876e8"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['aBCdEf'], ['abcdefg'], ['dBBE']]\n    results = [1, 0, 0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(count_upper)\n\n\n\nprint('___SENTINEL___')\n","ff61750753395929ef8afce85612bbee"]
[{"$cut":{"chars":19979,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['10'], ['14.5'], ['-15.5'], ['15.3'], ['0'], ['-2.8'], ['3.6'], ['5.5'], ['-6.5'], ['0.5'], ['1.6'], ['-1.6'], ['0.0003'], ['99.99'], ['-99.99'], ['-99.9'], ['00'], ['999.99'], ['99.9999'], ['99.999'], ['9.999'], ['999.999'], ['000'], ['09.99900'], ['-999.99'], ['99.9'], ['-99'], ['-6.'], ['0900'], ['0000'], ['-6.00000'], ['6'], ['-999'], ['999'], ['11.6'], ['-6.00099900'], ['111.6'], ['00900'], ['-66.'], ['11.'], ['-9111.699'], ['-6.65'], ['5'], ['0009000'], ['-99.'], ['-9.'], ['-99000'], ['-5'], ['900.999'], ['911.600'], ['-66666.'], ['-9111.6919'], ['999.9999'], ['-090109111.6919'], ['-9111.19'], ['009090'], ['-6.000999006'], ['9999.99'], ['0009000000'], ['-91111.691'], ['999000.999'], ['-6.00'], ['-6.000999900'], ['-090109111.6919999'], ['-6.9096'], ['911'], ['-6.000000'], ['-666666.'], ['66666.'], ['9999.9999'], ['9.9'], ['1'], ['999.99999'], ['-699.990'], ['-66.6000'], ['9999'], ['00090000'], ['0099090'], ['00009000'], ['9'], ['-919'], ['000600'], ['-9900'], ['00090099990'], ['-6666666.'], ['.9096'], ['00090000000'], ['00600'], ['9.9999'], ['111.'], ['99'], ['00090000009.999000'], ['-6999.99000'], ['0.000'], ['000900'], ['-66666666.'], ['000900000000'], ['-9111191.691'], ['99990099090.99'], ['99999'], ['0090900'], ['-60.00099900'], ['-66966666.'], ['-111.900090099990900'], ['-54.9999'], ['0.0001'], ['12345678.54321'], ['-87654321.12345'], ['0.0000000009'], ['1.234567890000000001'], ['-1.234567890000000001'], ['-5.5'], ['1.2345678900040000001'], ['0.00000000009'], ['0.000000000009'], ['0.9'], ['-787654321.12345'], ['1.0001'], ['1.01'], ['-87654321.123345'], ['4.9999'], ['11'], ['10.2345678900000000001'], ['10.23456789000000000001'], ['1.0'], ['-187654321.123345'], ['1.'], ['-51.234567890000000001'], ['0.09'], ['-9'], ['-51.2354567890000000001'], ['0.'], ['1.001'], ['1.011'], ['-51.27890000000001'], ['5.55'], ['-91.01'], ['-87654321.212345'], ['-51.278900000000001'], ['10.234567890000000000091'], ['0.000000000000'], ['11.99'], ['55.5'], ['1.00001'], ['-51.278590000000001'], ['0.00000000'], ['1234567821'], ['111'], ['01'], ['-51.1234567890000000001'], ['11.9'], ['-5787654321.12345'], ['1.00'], ['1111'], ['00.0000000000000'], ['-599.5'], ['001'], ['00.00000000000000'], ['11111'], ['0.0000000010'], ['10.23456789000000000011101'], ['911.99'], ['10.23456789000000011111000091'], ['111111'], ['10.00001'], ['000.000000000000000'], ['-51.123456789001111100000001'], ['-91.'], ['00000000'], ['0.0000000000000'], ['10001'], ['-511.23545678900000500001'], ['-687654321.12345'], ['-578000000007654321.12345'], ['-51.1223456789001111100000001'], ['-5780000000076254321.162345'], ['-01.234567890000000001'], ['0.0'], ['000.00000000000000000'], ['-687654321.152345'], ['-5787.12345'], ['10.2345678900000001'], ['5.555'], ['1111.'], ['00.0001'], ['-54.99999'], ['1111111'], ['1.1001'], ['-51.2345678900000002001'], ['0.011111'], ['12534567821'], ['1.0000011'], ['9111.9900'], ['1000101'], ['12345678.521'], ['1.0111'], ['10.234567890000001'], ['555.5'], ['-51.20000000001'], ['101.234567890000001'], ['1.0099'], ['911001.99'], ['-787654321.12'], ['1.00111'], ['-54.999'], ['-191.01'], ['-5780007.12345'], ['-7876521.12345'], ['-599'], ['0010.234567890000000000091000000'], ['1.000001'], ['125345678221'], ['10.0000000010'], ['-687654321.122345'], ['-5780017.12345'], ['1.10001010'], ['100001'], ['111.9'], ['-51.12340001'], ['10.234567890000000001'], ['91000000'], ['99.99999'], ['10.21'], ['9911.99'], ['-051.278900000000"}},"d3cfaeb36948e42f93de92ddf249c1c4"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['10'], ['15.3']]\n    results = [10, 15]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(closest_integer)\n\n\n\nprint('___SENTINEL___')\n","7d9b5d61b3fdf48b0c4621138316aa1d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef ref_func(n):\n\n\n    ans, num = [], n\n    for _ in range(n):\n        ans.append(num)\n        num += 2\n    return ans\n\n\n\ndef check(candidate):\n    inputs = [[3], [4], [5], [6], [8], [1], [2], [10], [15], [20], [100], [12], [25], [50], [14], [16], [9], [24], [99], [21], [51], [52], [22], [73], [17], [101], [72], [98], [97], [53], [13], [96], [92], [102], [23], [11], [93], [49], [78], [86], [71], [95], [94], [70], [77], [69], [79], [103], [68], [37], [18], [36], [67], [91], [35], [90], [48], [54], [87], [19], [85], [84], [55], [7], [104], [38], [74], [39], [83], [66], [80], [105], [47], [109], [65], [42], [89], [46], [40], [88], [82], [108], [110], [64], [111], [26], [57], [58], [63], [59], [45], [106], [41], [81], [62], [107], [56], [43], [75], [30], [32], [33], [29], [34], [31], [76], [27], [28], [44], [1000000], [60], [61]]\n    for i, inp in enumerate(inputs):\n        assertion(candidate(*inp), ref_func(*inp), 0)\n\ncheck(make_a_pile)\n\n\nprint('___SENTINEL___')\n","90e828c77caad4837d7d0b74082e1021"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3]]\n    results = [[3, 5, 7]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(make_a_pile)\n\n\n\nprint('___SENTINEL___')\n","53235e5066725c88c409de1a13319958"]
[{"$cut":{"chars":104567,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Hi, my name is John'], ['One, two, three, four, five, six'], ['Hi, my name'], ['One,, two, three, four, five, six,'], [''], ['ahmed     , gamal'], [',,,,'], [' '], ['Elephant,giraffe,,lion,zebra'], ['Hi,there is,a lot,of,space   ,     ,'], ['        '], ['apple,'], ['cat dog, fish'], ['hello,  world'], ['One,two ,  three , four'], ['The quick brown fox jumps over the lazy dog'], ['hello,  oworld'], ['         '], ['The quick brown f the lazy dog'], ['          '], ['The quickbrown f the lazy dog'], ['   '], ['The quickbrowny f the lazy dog'], ['The quTick brown f the lazy dog'], ['The quick brown fox jumps over tohe lazy dog'], ['The quickbrown y dog'], ['One,two ,  three , fouOne,two ,  three , fourr'], ['cagt dog, fish'], ['Elephant,gieraffe,,lion,zebra'], [',,'], ['The quickbrown  dog'], [',The quTick brown f the lazy dog,'], ['cat dofish'], ['hehello,  oworldllo,  oworld'], [' cat dofish       '], [',         ,The quickbrown  dog'], ['The quTick brown f One,two ,  three , fourthe lazy dog'], [',The quTick bThe quick brown fox jumps over tohe lazy dogrown f the lazy dog,'], ['The quTickf the lazy dog'], ['app cat dofish       e,'], ['The quTicat dog, fishckf the lazy dog'], ['The quTicat dog, fishckf the lazy doyg'], [',,,,,'], ['         appl e,'], ['The qucfTickf the lazy dog'], ['XUI'], ['hllo,  wold'], ['One,two ,  three , fouOne,thello,  oworldwo ,  three , fourr'], ['app,The quTick brown f the lazy dog, cat dofish       e,'], [' The quTickf the lazy dog  '], ['cat dofis'], ['Theh quTicat dog, fishckf the lazy doyg'], ['The quTickTheh quTicat dog, fishckf the lazy doyg brown f the lazy dog'], ['Tx jumps over tohe lazy dog'], ['The quick brown f,The quTick br own f the lazy dog,ox jumps over tohe lazy dog'], ['cat dhofishOne,two ,  three , four'], ['The quick brown fox jumps over tohe lazy dog      '], ['cT he quTick brown f One,two ,  three , fourthe lazy dogt dofis'], [',,,'], ['The quTick brownThe quickbrown y dog f One,two ,  three , fourthe lazy dog'], ['The quTicat dog, fishckf the l         appl e,azy dog'], ['The quTick brown f the lazy The quicThe quick brown f,The quTick br own f the lazy dog,ox jumps over tohe lazy dogk brown f,The quTick brgdog'], ['The hquickbg'], ['Tx xjumps over tohe lazy dog'], ['The quTick brownThe quickbrown y dog f One,two ,  three , fourthe flazy dog'], ['Elephant,         appl e,giraffe,,lion,zebra'], ['The quTicat dog, fishckf the l         appl e,azy dogI'], ['   Theh quTicat dog, fishckf the lazy doyg      '], [' he quTickf the lazy dog  '], ['Theh quTicat dog, fishckf the lazy The qucfTickf the lazy dogdoyg'], ['cat dfofish'], ['XI'], ['Hi,there is,a lot,of,space  cT he quTick brown f One,two ,  three , fourthe lazy dogt dofis ,     ,'], ['eesrvDWbLL'], ['The quick bThe quick brown f the lazy dogrown fox jumps over tohe lazy dog'], ['cagt dogfish'], [' hOne,two ,  three , foure quTickf the lazy dog  '], ['The qkuickbrown y dog'], [',The quTick bT,,,,he quick brown fox jumps over tohe lazy dogrown f the lazy dog,'], ['  '], ['app cat dofish       e,Elephant,gieraffe,,lion,zebra'], ['The quTick brown f the lazy The quThe quickbrown f the lazy dogicThe quick brown f,The quTick br own f the lazy dog,ox jumps over tohe lazy dogk brown f,The quTick brgdog'], ['   Theh quTicat dog, fishckf the lazy doyg     '], [',         ,The quickbrown  dobg'], ['The quTiThe queri tohe lazy dogk brown f,The quTick brgdogckf the lazy dog'], [' The quTickf the l"}},"52ad4a71beed38aa59a46f47649a9f99"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Hi, my name is John'], ['One, two, three, four, five, six']]\n    results = [['Hi', 'my', 'name', 'is', 'John'], ['One', 'two', 'three', 'four', 'five', 'six']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(words_string)\n\n\n\nprint('___SENTINEL___')\n","e130891b442cc897cdac3c9e7ed24d3a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[12, 15], [13, 12], [33, 12354], [5234, 5233], [6, 29], [27, 10], [7, 7], [546, 546], [20, 30], [30, 30], [50, 60], [12, 14], [10, 12], [3, 5], [6, 20], [100, 200], [1, 2], [30, 35], [100, 6], [6, 30], [101, 6], [21, 3], [14, 14], [100, 100], [100, 35], [35, 101], [60, 60], [35, 35], [5, 6], [2, 35], [60, 50], [28, 1], [35, 200], [200, 5], [60, 6], [20, 20], [30, 6], [28, 35], [200, 200], [20, 36], [1, 6], [30, 1], [21, 5], [35, 199], [11, 14], [201, 201], [6, 5], [13, 10], [12, 16], [199, 12], [14, 13], [1, 1], [60, 11], [13, 35], [100, 30], [12, 12], [15, 14], [5, 5], [36, 29], [12, 11], [100, 15], [27, 28], [200, 201], [11, 201], [10, 11], [100, 13], [15, 29], [200, 101], [3, 3], [101, 15], [36, 35], [34, 101], [101, 101], [1, 14], [30, 21], [12, 3], [10, 4], [2, 2], [21, 20], [30, 50], [200, 199], [3, 101], [6, 15], [50, 59], [11, 11], [12, 13], [29, 35], [30, 201], [99, 5], [60, 21], [20, 5], [6, 35], [6, 36], [100, 98], [5, 200], [31, 50], [60, 59], [59, 21], [101, 34], [1, 15], [201, 1], [35, 50], [50, 3], [10, 35], [14, 30], [201, 200], [201, 199], [61, 60], [23, 27], [8, 10], [10, 17], [999, 998], [7, 20], [17, 21], [31, 99], [1000, 2000], [2, 20], [24, 27], [17, 24], [18, 31], [998, 998], [31, 1], [20, 21], [1, 7], [23, 100], [100, 23], [101, 100], [18, 32], [99, 99], [101, 18], [998, 31], [7, 24], [2000, 21], [19, 20], [1000, 2], [2, 3], [8, 1], [31, 999], [1, 23], [18, 33], [10, 2], [100, 998], [10, 20], [31, 20], [8, 24], [24, 24], [32, 1], [18, 18], [20, 19], [2, 100], [99, 31], [100, 1000], [1, 19], [31, 31], [32, 7], [20, 27], [2, 31], [32, 6], [10, 10], [2, 5], [2000, 998], [24, 33], [17, 17], [8, 9], [33, 2000], [20, 31], [1, 8], [102, 22], [1000, 24], [9, 10], [18, 6], [24, 99], [10, 101], [100, 10], [24, 7], [2, 17], [1000, 22], [20, 22], [23, 21], [9, 24], [32, 3], [9, 5], [3, 1], [2000, 2000], [22, 32], [8, 7], [3, 2], [31, 32], [27, 6], [7, 2000], [27, 101], [20, 7], [2, 1], [17, 33], [10, 24], [33, 33], [100, 31], [23, 18], [99, 998], [23, 31], [21, 21], [99, 32], [1000, 10], [1000, 1], [100, 22], [23, 6], [2, 21], [18, 8], [17, 32], [2, 28], [33, 32], [4, 7], [23, 23], [2001, 2000], [22, 99], [1000, 28], [1, 2001], [22, 4], [8, 2], [11, 10], [8, 8], [32, 22], [1999, 2000], [23, 32], [5, 24], [17, 102], [32, 32], [7, 18], [29, 28], [99, 10], [22, 31], [2, 4], [99, 100], [7, 1], [6, 1999], [10, 25], [28, 28], [1000, 2001], [17, 7], [1999, 28], [27, 27], [21, 19], [998, 100], [32, 33], [24, 10], [33, 24], [99, 6], [998, 32], [32, 34], [25, 20], [33, 3], [998, 1999], [24, 28], [24, 1999], [31, 18], [22, 17], [99, 3], [11, 5], [999, 102], [4, 2], [23, 24], [24, 9], [8, 998], [99, 20], [11, 9], [32, 11], [20, 1999], [19, 24], [1000, 6], [1999, 1], [19, 19], [29, 1], [5, 31], [1001, 18], [29, 18], [8, 20], [4, 4], [2000, 99], [32, 18], [1, 18], [10, 1], [6, 7], [6, 34], [26, 25], [24, 25], [9, 9], [32, 1001], [28, 2], [9, 20], [4, 27], [1, 10], [2000, 16], [20, 32], [1999, 1999], [102, 10], [999, 18], [9, 8], [5, 10], [9, 6], [999, 999], [2000, 101], [10, 29], [22, 8], [16, 6], [10, 32], [17, 34], [10, 28], [7, 102], [1001, 1001], [25, 33], [101, 20], [27, 100], [23, 101], [18, 17], [10, 5], [22, 21], [21, 998], [22, 22], [2, 16], [999, 24], [18, 21], [1000, 1000], [22, 10], [99, 999], [7, 6], [99, 26], [11, 102], [998, 999], [1, 99], [102, 20], [6, 1000], [17, 1000], [103, 7], [1999, 21], [1999, 997], [7, 9], [1003, 1002], [28, 998], [2, 1002], [19, 31], [32, 10], [1, 999], [7, 3], [31, 16], [7, 99], [7, 17], [99, 98], [100, 21], [100, 11], [20, 25], [9, 99], [25, 100], [2, 32], [100, 101], [33, 2001], [98, 32], [2001, 2001], [6, 21], [24, 6], [4, 20], [1003, 1001], [100, 2000], [1999, 1000], [30, 7], [103, 998], [999, 99], [34, 25], [19, 3], [1002, 1003], [34, 4], [17, 99], [23, 1001], [1, 3], [22, 23], [7, 2], [1999, 19], [3, 32], [6, 18], [23, 997], [17, 29], [27, 62], [26, 28], [1001, 7], [22, 5], [997, 998], [29, 100], [22, 100], [22, 6], [62, 62], [34, 34], [32, 21], [29, 6], [16, 3], [998, 10], [1999, 99], [27, 7], [17, 98], [34, 5], [30, 99], [17, 30], [104, 7], [100, 62], [28, 27], [100, 3], [4, 998], [3, 21], [10, 98], [1002, 1999], [98, 21], [4, 10], [25, 17], [24, 23], [2000, 2001], [1003, 998], [998, 997], [32, 1002], [28, 1001], [22, 1], [24, 26], [27, 104], [103, 1001], [11, 12], [6, 8], [101, 32], [1000, 999], [10, 21], [999, 28], [100, 99], [34, 33], [5, 20], [20, 34], [33, 1002], [30, 3], [1000, 29], [12, 29], [4, 24], [20, 102], [29, 98], [70, 70], [18, 62], [18, 19], [5, 16], [1002, 1002], [11, 93], [18, 3], [98, 7], [29, 29], [16, 17], [34, 2], [9, 93], [30, 103], [1001, 70], [23, 1999], [1001, 998], [26, 99], [21, 18], [998, 8], [21, 22], [23, 1], [1003, 1003], [23, 998], [2000, 3], [25, 28], [2, 27], [102, 102], [1004, 1003], [103, 99], [70, 100], [32, 104], [1003, 7], [5, 3], [18, 98], [25, 27], [22, 1000], [103, 103], [1000, 1001], [1002, 1001], [4, 31], [102, 101], [2000, 1004], [21, 8], [99, 70], [3, 1002], [20, 8], [1003, 1004], [33, 30], [6, 6], [25, 9], [31, 4], [70, 5], [31, 28], [19, 33], [3, 4], [5, 9], [1999, 1004], [104, 29], [62, 998], [25, 99], [21, 1999], [33, 34], [997, 4], [102, 998], [1000, 19], [23, 10], [1004, 1004], [997, 2001], [998, 6], [30, 29], [10, 998], [4, 9], [70, 32], [27, 20], [102, 21], [8, 3], [19, 4], [33, 6], [12, 23], [1, 17], [29, 99], [102, 99], [24, 29], [7, 22], [28, 12], [1001, 99], [22, 71], [3, 27], [999, 23], [7, 10], [18, 1], [63, 102], [25, 29], [103, 6], [8, 6], [28, 25], [99, 12], [10, 27], [32, 30], [21, 30], [996, 2001], [104, 27], [28, 17], [999, 1000], [103, 104], [16, 34], [11, 8], [2000, 24], [16, 35], [32, 31], [26, 23], [27, 26], [9, 21], [18, 20], [29, 17], [2, 33], [32, 23], [22, 9], [17, 5], [10, 22], [34, 20], [9, 2], [11, 998], [35, 1], [23, 102], [22, 2001], [2000, 23], [24, 30], [2000, 62], [100, 63], [996, 4], [18, 4], [101, 71], [1003, 20], [70, 21], [10, 3], [72, 71], [27, 1002], [31, 17], [1998, 1999], [62, 21], [71, 71], [2001, 21], [9, 104], [1004, 18], [18, 2], [7, 1000], [19, 32], [17, 2000], [104, 103], [27, 18], [21, 31], [1, 1004], [1999, 98], [21, 7], [30, 17], [1998, 1998], [101, 102], [17, 8], [29, 12], [2001, 16], [1000000, 1000001], [10, 23], [27, 23], [2000, 999], [1, 21], [8, 23], [30, 23], [10, 16], [23, 8], [27, 17], [2000, 17], [7, 31], [7, 27], [999, 30], [2000, 100], [30, 2], [21, 10], [999, 2000], [100, 2], [10, 18], [99, 2], [99, 23], [22, 2000], [1000, 9], [10, 2001], [30, 22], [1000, 17], [999, 17], [999, 100], [9, 2000], [999, 2001], [99, 1000], [31, 21], [2001, 20], [27, 2], [23, 9], [29, 23], [1999, 29], [27, 2001], [5, 23], [10, 100], [101, 2000], [999, 1], [99, 7], [23, 2001], [9, 16], [5, 2], [10, 9], [30, 16], [27, 2000], [17, 2001], [998, 1000], [22, 18], [1999, 999], [10, 1999], [29, 999], [1999, 31], [99, 16], [16, 10], [11, 30], [11, 2], [10, 31], [999, 9], [99, 1], [22, 30], [31, 7], [23, 17], [29, 101], [2002, 2002], [999, 2002], [2000, 18], [16, 21], [99, 17], [10, 7], [21, 16], [23, 7], [1999, 8], [999, 20], [8, 22], [26, 27], [1000, 16], [21, 27], [17, 22], [999, 21], [15, 21], [26, 7], [10, 2000], [11, 100], [21, 23], [5, 18], [9, 1999], [18, 7], [99, 101], [44, 1999], [44, 43], [16, 16], [30, 10], [2000, 7], [11, 99], [99, 24], [2000, 1], [11, 31], [28, 2001], [999, 10], [1001, 24], [29, 22], [2000, 20], [7, 999], [2001, 100], [99, 30], [18, 43], [6, 17], [24, 2001], [102, 30], [11, 22], [999, 5], [99, 1999], [20, 1001], [19, 7], [20, 2000], [7, 8], [2001, 1001], [98, 99], [7, 19], [102, 15], [11, 21], [19, 1001], [98, 1000], [26, 100], [999, 19], [21, 1000], [2002, 31], [23, 99], [26, 2000], [98, 17], [2002, 30], [23, 1002], [2001, 9], [102, 999], [9, 11], [1999, 11], [31, 8], [29, 997], [100, 102], [23, 98], [1999, 17], [5, 102], [28, 8], [24, 17], [29, 5], [15, 15], [1001, 11], [999, 26], [9, 22], [44, 9], [2002, 997], [2000, 10], [7, 23], [18, 2001], [5, 1999], [2000, 5], [101, 10], [2003, 11], [31, 6], [30, 5], [2001, 7], [28, 30], [1999, 30], [24, 5], [1001, 23], [998, 1], [9, 2002], [15, 10], [16, 9], [102, 24], [998, 29], [2002, 2000], [21, 999], [44, 6], [25, 2003], [10, 999], [102, 100], [1001, 100], [15, 2], [19, 22], [2002, 10], [23, 15], [8, 2001], [25, 5], [2001, 2002], [27, 30], [26, 101], [1001, 22], [5, 21], [99, 21], [28, 29], [6, 2002], [2000, 1000], [8, 27], [31, 1001], [32, 5], [2004, 2003], [15, 16], [18, 16], [10, 15], [1, 30], [1, 1001], [2001, 17], [2002, 2001], [99, 1002], [29, 2001], [30, 15], [6, 1001], [20, 26], [30, 100], [1002, 22], [10, 1998], [31, 10], [998, 101], [28, 31], [26, 102], [1, 997], [23, 22], [29, 30], [101, 21], [7, 32], [998, 23], [2003, 7], [43, 1], [1001, 20], [24, 2003], [17, 999], [1001, 30], [1998, 999], [22, 27], [14, 15], [1998, 9], [9, 2001], [998, 28], [24, 20], [1, 2000], [22, 999], [96, 99], [999, 7], [99, 25], [6, 26], [1001, 101], [1, 29], [16, 1], [100, 5], [19, 1999], [22, 1999], [25, 24], [3, 998], [44, 99], [2000, 9], [1998, 31], [1999, 27], [31, 14], [15, 999], [27, 29], [1999, 101], [24, 104], [998, 9], [997, 23], [26, 6], [997, 101], [4, 22], [2004, 31], [31, 30], [1000, 23], [24, 16], [98, 98], [28, 16], [100, 19], [44, 7], [16, 5], [26, 999], [100, 1002], [997, 22], [16, 2001], [2002, 2003], [1998, 2000], [16, 15], [98, 1001], [29, 2003], [21, 100], [2000, 1999], [1000, 1999], [1999, 102], [29, 1002], [6, 99], [103, 102], [100, 1001], [31, 24], [25, 26], [21, 6], [8, 26], [26, 5], [1000, 998], [44, 44], [2004, 8], [9, 7], [20, 16], [103, 27], [102, 18], [998, 2001], [101, 104], [4, 102], [24, 2004], [6, 4], [2001, 104], [17, 28], [100, 43], [1001, 2004], [1998, 43], [2002, 999], [43, 30], [102, 9], [2003, 5], [1002, 102], [1999, 998], [2003, 10], [14, 2], [32, 2001], [1000, 30], [8, 103], [999, 1999], [43, 43], [96, 96], [16, 2002], [7, 2002], [23, 34], [22, 11], [5, 15], [26, 26], [8, 5], [96, 4], [15, 20], [12, 8], [2, 999], [21, 2000], [20, 98], [1, 2004], [997, 997], [21, 102], [18, 9], [14, 998], [28, 2003], [23, 20], [2, 22]]\n    results = [14, -1, 12354, -1, 28, -1, -1, 546, 30, 30, 60, 14, 12, 4, 20, 200, 2, 34, -1, 30, -1, -1, 14, 100, -1, 100, 60, -1, 6, 34, -1, -1, 200, -1, -1, 20, -1, 34, 200, 36, 6, -1, -1, 198, 14, -1, -1, -1, 16, -1, -1, -1, -1, 34, -1, 12, -1, -1, -1, -1, -1, 28, 200, 200, 10, -1, 28, -1, -1, -1, -1, 100, -1, 14, -1, -1, -1, 2, -1, 50, -1, 100, 14, 58, -1, 12, 34, 200, -1, -1, -1, 34, 36, -1, 200, 50, -1, -1, -1, 14, -1, 50, -1, 34, 30, -1, -1, -1, 26, 10, 16, -1, 20, 20, 98, 2000, 20, 26, 24, 30, 998, -1, 20, 6, 100, -1, -1, 32, -1, -1, -1, 24, -1, 20, -1, 2, -1, 998, 22, 32, -1, 998, 20, -1, 24, 24, -1, 18, -1, 100, -1, 1000, 18, -1, -1, 26, 30, -1, 10, 4, -1, 32, -1, 8, 2000, 30, 8, -1, -1, 10, -1, 98, 100, -1, -1, 16, -1, 22, -1, 24, -1, -1, -1, 2000, 32, -1, -1, 32, -1, 2000, 100, -1, -1, 32, 24, -1, -1, -1, 998, 30, -1, -1, -1, -1, -1, -1, 20, -1, 32, 28, -1, 6, -1, -1, 98, -1, 2000, -1, -1, -1, 8, -1, 2000, 32, 24, 102, 32, 18, -1, -1, 30, 4, 100, -1, 1998, 24, 28, 2000, -1, -1, -1, -1, -1, 32, -1, -1, -1, -1, 34, -1, -1, 1998, 28, 1998, -1, -1, -1, -1, -1, -1, 24, -1, 998, -1, -1, -1, 1998, 24, -1, -1, -1, -1, 30, -1, -1, 20, 4, -1, -1, 18, -1, 6, 34, -1, 24, -1, 1000, -1, 20, 26, 10, -1, 32, -1, -1, -1, -1, 10, -1, -1, -1, 28, -1, -1, 32, 34, 28, 102, -1, 32, -1, 100, 100, -1, -1, -1, 998, 22, 16, -1, 20, 1000, -1, 998, -1, -1, 102, 998, 98, -1, 1000, 1000, -1, -1, -1, 8, -1, 998, 1002, 30, -1, 998, -1, -1, 98, 16, -1, -1, -1, 24, 98, 100, 32, 100, 2000, -1, -1, 20, -1, 20, -1, 2000, -1, -1, 998, -1, -1, -1, 1002, -1, 98, 1000, 2, 22, -1, -1, 32, 18, 996, 28, 62, 28, -1, -1, 998, 100, 100, -1, 62, 34, -1, -1, -1, -1, -1, -1, 98, -1, 98, 30, -1, -1, -1, -1, 998, 20, 98, 1998, -1, 10, -1, -1, 2000, -1, -1, 1002, 1000, -1, 26, 104, 1000, 12, 8, -1, -1, 20, -1, -1, -1, 20, 34, 1002, -1, -1, 28, 24, 102, 98, 70, 62, 18, 16, 1002, 92, -1, -1, -1, 16, -1, 92, 102, -1, 1998, -1, 98, -1, -1, 22, -1, -1, 998, -1, 28, 26, 102, -1, -1, 100, 104, -1, -1, 98, 26, 1000, -1, 1000, -1, 30, -1, -1, -1, -1, 1002, -1, 1004, -1, 6, -1, -1, -1, -1, 32, 4, 8, -1, -1, 998, 98, 1998, 34, -1, 998, -1, -1, 1004, 2000, -1, -1, 998, 8, -1, -1, -1, -1, -1, -1, 22, 16, 98, -1, 28, 22, -1, -1, 70, 26, -1, 10, -1, 102, 28, -1, -1, -1, -1, 26, -1, 30, 2000, -1, -1, 1000, 104, 34, -1, -1, 34, -1, -1, -1, 20, 20, -1, 32, -1, -1, -1, 22, -1, -1, 998, -1, 102, 2000, -1, 30, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1002, -1, 1998, -1, -1, -1, 104, -1, -1, 1000, 32, 2000, -1, -1, 30, 1004, -1, -1, -1, 1998, 102, -1, -1, -1, 1000000, 22, -1, -1, 20, 22, -1, 16, -1, -1, -1, 30, 26, -1, -1, -1, -1, 2000, -1, 18, -1, -1, 2000, -1, 2000, -1, -1, -1, -1, 2000, 2000, 1000, -1, -1, -1, -1, -1, -1, 2000, 22, 100, 2000, -1, -1, 2000, 16, -1, -1, -1, 2000, 2000, 1000, -1, -1, 1998, 998, -1, -1, -1, 30, -1, 30, -1, -1, 30, -1, -1, 100, 2002, 2002, -1, 20, -1, -1, -1, -1, -1, -1, 22, 26, -1, 26, 22, -1, 20, -1, 2000, 100, 22, 18, 1998, -1, 100, 1998, -1, 16, -1, -1, 98, -1, -1, 30, 2000, -1, -1, -1, -1, 998, -1, -1, 42, 16, 2000, -1, 22, -1, 1998, 1000, -1, 2000, 8, -1, 98, 18, -1, 20, 1000, 1000, 100, -1, 1000, -1, 98, 2000, -1, -1, 1002, -1, 998, 10, -1, -1, 996, 102, 98, -1, 102, -1, -1, -1, -1, -1, -1, 22, -1, -1, -1, 22, 2000, 1998, -1, -1, -1, -1, -1, -1, 30, -1, -1, -1, -1, 2002, -1, -1, -1, -1, -1, 998, -1, 2002, 998, -1, -1, -1, 22, -1, -1, 2000, -1, 2002, 30, 100, -1, 20, -1, 28, 2002, -1, 26, 1000, -1, -1, 16, -1, 14, 30, 1000, -1, -1, 1002, 2000, -1, 1000, 26, 100, -1, 1998, -1, -1, 30, 102, 996, -1, 30, -1, 32, -1, -1, -1, -1, 2002, 998, -1, -1, 26, 14, -1, 2000, -1, -1, 2000, 998, 98, -1, -1, 26, -1, 28, -1, -1, 1998, 1998, -1, 998, 98, -1, -1, -1, -1, 998, 28, -1, 104, -1, -1, -1, -1, 22, -1, -1, -1, -1, 98, -1, -1, -1, -1, 998, 1002, -1, 2000, 2002, 2000, -1, 1000, 2002, 100, -1, 1998, -1, 1002, 98, -1, 1000, -1, 26, -1, 26, -1, -1, 44, -1, -1, -1, -1, -1, 2000, 104, 102, 2004, -1, -1, 28, -1, 2004, -1, -1, -1, -1, -1, -1, -1, -1, -1, 2000, -1, 102, 1998, -1, 96, 2002, 2002, 34, -1, 14, 26, -1, -1, 20, -1, 998, 2000, 98, 2004, -1, 102, -1, 998, 2002, -1, 22]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(choose_num)\n\n\nprint('___SENTINEL___')\n","0e2f3c94e7c376e5fedfff1d4d6dd7fb"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[12, 15], [13, 12]]\n    results = [14, -1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(choose_num)\n\n\n\nprint('___SENTINEL___')\n","3ec3b78b3bd992b7a8da1828ec9152cf"]
[{"$cut":{"chars":26910,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[1, 5], [7, 13], [964, 977], [996, 997], [560, 851], [185, 546], [362, 496], [350, 902], [197, 233], [7, 5], [5, 1], [5, 5], [1, 1], [3, 9], [25, 35], [10, 30], [100, 200], [15, 15], [10, 10], [50, 100], [15, 100], [200, 30], [51, 100], [51, 50], [30, 200], [3, 101], [35, 35], [4, 3], [50, 50], [4, 9], [9, 50], [6, 5], [3, 6], [9, 9], [6, 6], [30, 201], [25, 25], [15, 16], [9, 6], [200, 6], [3, 16], [9, 3], [1, 200], [201, 200], [16, 30], [6, 7], [201, 25], [14, 15], [2, 9], [10, 6], [10, 4], [7, 30], [16, 5], [9, 10], [2, 2], [101, 16], [6, 4], [16, 16], [49, 49], [101, 200], [29, 30], [7, 3], [15, 14], [201, 31], [4, 2], [201, 201], [2, 7], [2, 10], [4, 1], [15, 25], [30, 16], [8, 31], [5, 3], [4, 4], [31, 30], [3, 1], [14, 32], [7, 10], [10, 5], [202, 25], [202, 15], [999999, 1000000], [10000, 12000], [54321, 98765], [123456, 789012], [1, 100000], [100, 1000], [3000, 5000], [99998, 100003], [10000, 20000], [3000, 20000], [100, 12001], [3000, 1000000], [3000, 3000], [1000, 100], [100000, 1], [100003, 100003], [3000, 1000001], [5000, 100003], [100003, 1], [3000, 999999], [101, 1], [123456, 20001], [1000000, 100], [1000, 10], [1000001, 20000], [20001, 100003], [54322, 54321], [3000, 3001], [2999, 3001], [20000, 20000], [19999, 20000], [1000, 1000], [1000000, 1000000], [999999, 3000], [3001, 3001], [999999, 999999], [3001, 1000000], [1, 12000], [789012, 100002], [75, 100003], [75, 12000], [1, 3001], [99, 100000], [999999, 1000], [10000, 98765], [100, 100], [999999, 1000001], [100003, 20000], [100, 99], [1000, 1000001], [100002, 3000], [99, 1], [54321, 100], [100000, 2], [99, 20000], [54321, 101], [99998, 100000], [100001, 1], [100002, 100003], [100001, 20000], [19999, 100001], [75, 75], [1000000, 999999], [5000, 5000], [2, 54322], [99, 99], [1000000, 54322], [19998, 100001], [54321, 54321], [10, 1], [20001, 99997], [101, 99997], [99997, 100], [999998, 999999], [54321, 54322], [54321, 12000], [999998, 12000], [10, 9], [100001, 789012], [123456, 98765], [20000, 99], [999997, 123456], [75, 99997], [100005, 789012], [99999, 99], [101, 100000], [101, 1000], [54322, 789012], [101, 100001], [10, 11], [999999, 12000], [3001, 99999], [5000, 3000], [99997, 99997], [789012, 789012], [1000000, 54321], [54321, 99], [1000000, 1000001], [3000, 75], [99999, 99998], [19997, 19998], [2999, 2999], [100, 98], [99998, 100], [98765, 98765], [123456, 99], [100, 99997], [1000000, 75], [10000, 2999], [11999, 12000], [100001, 100000], [5000, 100004], [3000, 12001], [999998, 999998], [54320, 54321], [12000, 1000000], [3001, 123456], [99999, 20000], [100001, 789013], [20000, 19998], [20001, 12001], [54323, 54321], [98, 12000], [12000, 12000], [999999, 100], [54320, 12000], [10000, 75], [3000, 99997], [100, 19997], [1000000, 2999], [2, 100000], [999997, 3001], [3001, 3000], [100005, 100003], [100001, 100001], [100000, 100000], [20001, 20001], [19999, 1], [2, 123456], [2, 1000], [10, 999998], [99998, 99], [3001, 2999], [12001, 12000], [98, 99], [3000, 2999], [100, 999998], [101, 101], [99999, 100], [100, 54320], [12000, 11998], [54321, 999998], [9999, 9999], [99997, 999999], [98, 100002], [54321, 1000000], [75, 11999], [98, 98], [10001, 10001], [12001, 12001], [789013, 789013], [19998, 1000001], [54320, 3001], [100, 99998], [73, 92], [100001, 100004], [54320, 54320], [100004, 100003], [1, 5000], [100000, 100001], [54322, 99], [20001, 54322], [100004, 99997], [3000, 3002], [789013, 100004], [789013, 1000000], [1000000, 1"}},"1b9dd6431aa75435f0d2965dbb8155f4"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1, 5], [7, 5], [10, 20], [20, 33]]\n    results = ['0b11', -1, '0b1111', '0b11010']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(rounded_avg)\n\n\n\nprint('___SENTINEL___')\n","2d61c402c36ca0b6e579372d59f1619e"]
[{"$cut":{"chars":106798,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[15, 33, 1422, 1]], [[152, 323, 1422, 10]], [[12345, 2033, 111, 151]], [[135, 103, 31]], [[257, 369, 781, 409]], [[1357, 79, 8642, 246]], [[321, 741, 951, 753]], [[2358, 159, 647, 380]], [[111, 333, 555, 777]], [[2468, 13579, 86420, 97531]], [[123, 246, 369, 888]], [[951, 753, 246, 135]], [[680, 925, 753, 413]], [[246, 468, 802, 666, 999]], [[321, 741, 951, 753, 321]], [[2358, 159, 647, 381]], [[1357, 79, 8642, 246, 1357, 246]], [[2358, 159, 647]], [[369, 123, 246, 369]], [[13579, 468, 802, 666, 999]], [[257, 369, 781, 409, 369]], [[2358, 159, 321, 381]], [[951, 753, 246, 135, 753]], [[369, 781, 409]], [[2358, 320, 381]], [[2358, 159, 321, 381, 321, 321]], [[1357, 79, 8642, 888, 246, 888]], [[2358, 159, 381, 2358]], [[257, 246, 781, 409]], [[2468, 13579, 86420, 97531, 97531]], [[2358, 2358, 159, 647, 380]], [[320, 741, 951, 753]], [[369, 246, 369]], [[79, 245, 8642, 246, 1357, 246]], [[257, 246, 781, 409, 246]], [[951, 753, 246, 680, 135, 753]], [[1357, 79, 8642, 246, 888]], [[1357, 79, 8642, 888]], [[246, 468, 802, 666, 999, 468, 802]], [[680, 925, 753, 468, 413]], [[646, 2358, 159, 647]], [[1357, 79, 8642, 888, 888]], [[380, 741, 951, 753]], [[2356, 2357]], [[2468, 257, 86420, 888, 413, 13579]], [[321, 159, 13579, 647, 381]], [[2358, 320, 381, 2358]], [[951, 753, 246, 680, 135, 752]], [[13579, 802, 999]], [[2358, 159]], [[2358, 159, 321, 381, 321, 321, 321]], [[111, 333, 778, 555]], [[257, 257, 369, 781, 370]], [[2358, 159, 321, 2468, 381, 321, 321, 159]], [[13579, 86420, 97531, 97531, 97531]], [[646, 2358, 647, 646]], [[1357, 79, 8642, 666]], [[951, 753, 246, 680, 135, 753, 951]], [[1357, 246, 79, 8642, 888, 246, 888]], [[13579, 97531, 97531, 97531]], [[1357, 246, 79, 888, 246, 888]], [[2358, 2358, 159, 647, 2358]], [[753, 246, 134]], [[333, 555, 777]], [[321, 159, 647, 322, 381]], [[1357, 79, 8642, 246, 888, 246]], [[257, 413, 781, 409, 246]], [[246, 369, 246, 888]], [[2357, 2358, 159, 647, 2358]], [[245, 1357, 246, 79, 8642, 888, 246, 888]], [[951, 753, 246, 680, 135, 999]], [[2358, 2359, 159, 647, 2358]], [[321, 159, 8642, 647, 381]], [[666, 369, 2468, 369, 246]], [[2358, 123, 2358, 159, 380]], [[951, 753, 753, 246, 135, 753]], [[1357, 8642, 246, 888, 888]], [[2358, 741, 159, 647, 2358]], [[2358, 158]], [[753, 321, 741, 951, 753, 951]], [[123, 246, 369, 888, 246]], [[2358, 380, 381]], [[2358, 123, 2358, 159, 380, 2358]], [[79, 8642, 246, 1357, 246]], [[468, 111, 333, 778, 555]], [[1357, 666]], [[2468, 159, 381, 2358]], [[159, 2358, 159]], [[159, 381, 2358]], [[2358, 320, 381, 381]], [[246, 369, 245, 888]], [[409, 781, 409]], [[158, 741, 753, 321]], [[1357, 246, 888, 888]], [[680, 753, 468, 753, 413]], [[2468, 159, 2358]], [[2358, 381, 2358]], [[409, 410, 781, 409]], [[410, 2358, 159, 647, 380]], [[13579, 97531, 97531, 97531, 97531]], [[680, 753, 468, 753, 413, 753]], [[13579, 86420, 97531, 97531, 2468]], [[321, 741, 951, 753, 741, 741]], [[2468, 647, 86420, 97531, 97531]], [[123, 234, 345, 456, 567, 678, 789, 890, 901, 102, 213, 324, 435, 546, 657, 768, 879, 987, 876, 765, 654, 543, 432, 321, 210, 111, 222, 333, 444, 555, 666, 777, 888, 999, 1111, 2222, 3333, 4444, 5555, 6666, 7777, 8888, 9999, 1001, 2012, 3013, 4024, 5035, 6046, 7057, 8068, 9079]], [[2, 4, 6, 8, 10, 12, 14, 16, 18, 20]], [[15, 33, 55, 77, 99, 101, 121, 151, 181]], [[246, 468, 1357, 2468, 13579, 24680, 135791, 246802]], [[16, 27, 38, 49, 50, 61, 72, 83, 94, 105]], [[123456789, 246813579, 111111111, 987654321]], [[11"}},"d514f488f446c2eaa275229d04e548dc"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[15, 33, 1422, 1]], [[152, 323, 1422, 10]]]\n    results = [[1, 15, 33], []]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(unique_digits)\n\n\n\nprint('___SENTINEL___')\n","9b9635bd7406f52fb49da94a2d5b85e4"]
[{"$cut":{"chars":133618,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[2, 1, 1, 4, 5, 8, 2, 3]], [[]], [[1, -1, 55]], [[1, -1, 3, 2]], [[9, 4, 8]], [[9, 8, 7, 6, 5, 4, 3, 2, 1]], [[-1, 0, 5, 6, 10]], [[9, 5, 2, 1, 1, 5, 6, 8]], [[8, 9, 7, 5, 4, 3, 2, 1, 0]], [[1, 2, 3, 4, 5, 6, 7, 8, 9]], [[3, 3, 3, 3, 3, 3]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[9, 9, 9, 8, 8, 8, 7, 7, 7, 1, 1, 1]], [[5, 3, 2, 1, 9, 8, 7, 6]], [[4, 8, 15, 6, 7, 21, 9]], [[6, 3, 3, 3, 3]], [[4, 3, 2, 1, 9, 8, 7, 6]], [[1, 2, 3, 5, 6, 7, 8, 9]], [[8, 9, 7, 5, 4, 3, 2, 1, 5]], [[9, 5, 2, 1, 1, 5, 6, 0, 8]], [[9, 5, 2, 1, 1, 8, 5, 6, 0, 8]], [[9, 8, 7, 6, 5, 5, 4, 3, 2, 1]], [[9, 5, 2, 1, 1, 5, 21, 6, 8]], [[4, 3, 2, 1, 9, 8, 7, 6, 2]], [[9, 5, 2, 0, 1, 1, 5, 6, 0, 8]], [[9, 5, 2, 1, 1, 5, 6, 0, 8, 5]], [[1, 6, 4, 5, 10, 6, 7, 7, 8, 9]], [[1, 2, 3, 4, 6, 21, 7, 8, 9, 10]], [[9, 8, 5, 4, 4, 3, 2, 1, 2]], [[4, 8, 7, 6, 5, 4, 3, 1]], [[1, 22, 2, 3, 4, 6, 21, 7, 8, 9, 10]], [[4, 2, 2, 1, 9, 8, 7, 6, 2]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 4]], [[4, 2, 1, 9, 8, 7, 6, 2]], [[1, 2, 3, 4, 6, 21, 7, 8, 9, 10, 2]], [[2, 2, 3, 5, 6, 2, 7, 8, 9]], [[4, 8, 3, 4, 7, 6, 5, 4, 3, 1]], [[4, 3, 1, 9, 8, 7, 6, 2]], [[9, 5, 2, 1, 5, 8, 8]], [[1, 2, 3, 6, 21, 7, 8, 9, 10, 10, 8]], [[1, 2, 3, 6, 21, 7, 8, 9, 10, 10, 8, 2]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 4, 4]], [[4, 2, 2, 1, 9, 7, 7, 6, 2]], [[9, 9, 9, 8, 8, 8, 9, 7, 9, 7, 1, 1, 1]], [[4, 3, 3, 2, 1, 9, 8, 7, 6, 2]], [[8, 7, 5, 4, 3, 2, 1, 5]], [[9, 9, 6, 8, 8, 8, 7, 7, 7, 1, 1, 1]], [[8, 7, 5, 4, 3, 2, 1, 5, 4]], [[4, 2, 2, 22, 9, 8, 7, 6, 2, 9]], [[4, 2, 1, 9, 8, 7, 6, 3]], [[4, 3, 1, 9, 8, 7, 6]], [[8, 5, 7, 2, 1, 7, 1, 6, 8]], [[9, 5, 2, 1, 5, 6, 8]], [[9, 8, 7, 3, 6, 5, 5, 4, 3, 2, 1, 3]], [[4, 8, 4, 7, 6, 5, 4, 3, 1, 6]], [[9, 9, 9, 3, 8, 8, 7, 7, 7, 1, 1, 1]], [[4, 8, 4, 4, 7, 6, -1, 4, 3, 1, 6]], [[4, 8, 15, 6, 7, 21, 9, 4]], [[8, 3, 4, 7, 6, 5, 4, 3, 1]], [[1, 0, 22, 2, 3, 4, 6, 21, 7, 8, 9, 10]], [[9, 8, 7, 3, 6, 3, 5, 5, 4, 3, 2, 1, 3]], [[9, 5, 2, 1, 5, 21, 8]], [[1, 2, 3, 4, 5, 6, 1, 8, 9, 10]], [[1, 22, 2, 3, 4, 6, 21, 7, 8, 2, 9, 10, 21]], [[9, 8, 4, 4, 4, 3, 1, 2]], [[1, 22, 2, 3, 4, 6, 21, 7, 9, 10]], [[4, 2, 1, 9, 8, 7, 6, 2, 4]], [[4, 8, 4, 4, 7, 6, -1, 4, 10, 3, 1, 6]], [[-1, 3, 2, 2, 1, 9, 9, 7, 6]], [[4, 8, 3, 4, 7, 5, 4, 3, 1]], [[3, 3, 1, 9, 8, 7, 6]], [[8, 7, 5, 5, 4, 3, 2, 1, 5]], [[-1, 5, 6, 10]], [[1, 6, 4, 5, 10, 6, 7, 15, 7, 8, 9]], [[3, 9, 8, 7, 3, 6, 3, 5, 5, 4, 3, 2, 1, 3]], [[1, 6, 4, 10, 6, 7, 15, 2, 7, 8, 9]], [[4, 8, 10, 15, 6, 7, 21, 9]], [[9, 9, 6, 8, 8, 8, 7, 7, 7, 10, 1, 1, 1, 7]], [[4, 8, 3, 4, 7, 5, 4, 3, 1, 7]], [[4, 8, 5, 4, 7, 6, 5, 4, 3, 1, 6]], [[1, 22, 2, -1, 3, 4, 6, 21, 7, 9, 10]], [[9, 8, 4, 3, 4, 3, 1, 4]], [[9, 8, 4, 3, 4, 4, 3, 1, 5, 4]], [[1, 2, 3, 6, 21, 7, 8, 9, 10, 10, 0]], [[4, 3, 1, 9, 9, 8, 7, 5]], [[4, 3, 3, 2, 9, 8, 7, 6, 3]], [[3, 9, 8, 7, 3, 6, 3, 5, 5, 4, 3, 2, 1, 3, 7]], [[9, 5, 2, 1, 1, 5, 6, 0, 8, 5, 8]], [[2, 2, 3, 5, 6, 2, 7, 10, 8, 6, 9]], [[10, 5, 4, 8, 4, 4, 7, 6, -1, 4, 3, 2, 6]], [[9, 5, 2, 1, 9, 5, 6, 0, 8]], [[1, 2, 4, 6, 21, 7, 8, 9, 10]], [[8, 4, 7, 5, 5, 4, 3, 2, 1, 5]], [[9, 8, 7, 6, 5, 5, 4, 3, 2, 1, 8]], [[9, 5, 2, 1, 1, 5, -1, 6, 0, 8, 5]], [[4, 2, 1, 1, 9, 8, 7, 6, 2]], [[4, 8, 10, 15, 6, 7, 21, 9, 6]], [[9, 8, 7, 3, 6, 3, 5, 5, 4, 1, 3, 2, 1, 3, 3]], [[1, 2, 3, 6, 21, 7, 8, 9, 10, 10, 10, 2]], [[22, 9, 9, 8, 8, 8, 7, 7, 7, 1, 1, 1, 7]], [[4, 8, 15, 6, 4, 10, 4]], [[9, 8, 7, 6, 5, 4, 2, 1, 4, 6]], [[9, 6, 5, 2, 1, 9, 5, 6, 0, 8]], [[9, 9, 6, 1, 8, 8, 8, 7, 7, 7, 1, 1, 1]], [[0, 10, 11, "}},"a37bcbfacd1618d729a6e1754acd24d7"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[2, 1, 1, 4, 5, 8, 2, 3]], [[]], [[1, -1, 55]]]\n    results = [['Eight', 'Five', 'Four', 'Three', 'Two', 'Two', 'One', 'One'], [], ['One']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(by_length)\n\n\n\nprint('___SENTINEL___')\n","efe0b465a6365e71de0fff41733116e9"]
[{"$cut":{"chars":148887,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5], [7], [1], [3], [0], [2], [4], [6], [8], [10], [100], [15], [20], [12], [11], [9], [19], [99], [101], [98], [52], [13], [18], [21], [102], [103], [104], [105], [16], [85], [65], [84], [17], [14], [53], [64], [83], [63], [54], [81], [66], [97], [96], [106], [67], [95], [82], [94], [55], [22], [86], [70], [30], [29], [68], [38], [87], [31], [69], [37], [62], [88], [32], [93], [33], [71], [80], [79], [51], [61], [50], [92], [49], [23], [28], [24], [72], [35], [34], [39], [36], [41], [77], [25], [89], [40], [48], [42], [91], [78], [47], [45], [44], [76], [43], [26], [27], [60], [57], [90], [58], [73], [74], [75]]\n    results = [[1, 2, 6, 24, 15], [1, 2, 6, 24, 15, 720, 28], [1], [1, 2, 6], [], [1, 2], [1, 2, 6, 24], [1, 2, 6, 24, 15, 720], [1, 2, 6, 24, 15, 720, 28, 40320], [1, 2, 6, 24, 15, 720, 28, 40320, 45, 3628800], [1, 2, 6, 24, 15, 720, 28, 40320, 45, 3628800, 66, 479001600, 91, 87178291200, 120, 20922789888000, 153, 6402373705728000, 190, 2432902008176640000, 231, 1124000727777607680000, 276, 620448401733239439360000, 325, 403291461126605635584000000, 378, 304888344611713860501504000000, 435, 265252859812191058636308480000000, 496, 263130836933693530167218012160000000, 561, 295232799039604140847618609643520000000, 630, 371993326789901217467999448150835200000000, 703, 523022617466601111760007224100074291200000000, 780, 815915283247897734345611269596115894272000000000, 861, 1405006117752879898543142606244511569936384000000000, 946, 2658271574788448768043625811014615890319638528000000000, 1035, 5502622159812088949850305428800254892961651752960000000000, 1128, 12413915592536072670862289047373375038521486354677760000000000, 1225, 30414093201713378043612608166064768844377641568960512000000000000, 1326, 80658175170943878571660636856403766975289505440883277824000000000000, 1431, 230843697339241380472092742683027581083278564571807941132288000000000000, 1540, 710998587804863451854045647463724949736497978881168458687447040000000000000, 1653, 2350561331282878571829474910515074683828862318181142924420699914240000000000000, 1770, 8320987112741390144276341183223364380754172606361245952449277696409600000000000000, 1891, 31469973260387937525653122354950764088012280797258232192163168247821107200000000000000, 2016, 126886932185884164103433389335161480802865516174545192198801894375214704230400000000000000, 2145, 544344939077443064003729240247842752644293064388798874532860126869671081148416000000000000000, 2278, 2480035542436830599600990418569171581047399201355367672371710738018221445712183296000000000000000, 2415, 11978571669969891796072783721689098736458938142546425857555362864628009582789845319680000000000000000, 2556, 61234458376886086861524070385274672740778091784697328983823014963978384987221689274204160000000000000000, 2701, 330788544151938641225953028221253782145683251820934971170611926835411235700971565459250872320000000000000000, 2850, 1885494701666050254987932260861146558230394535379329335672487982961844043495537923117729972224000000000000000000, 3003, 11324281178206297831457521158732046228731749579488251990048962825668835325234200766245086213177344000000000000000000, 3160, 71569457046263802294811533723186532165584657342365752577109445058227039255480148842668944867280814080000000000000000000, 3321, 475364333701284174842138206989404946643813294067993328617160934076743994734899148613007131808479167119360000000000000000000, 3486, 33142401345653532669993875791301312880006662862420494871188460323"}},"9e7aa41e17961afcd44e95c71d7eb62a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5]]\n    results = [[1, 2, 6, 24, 15]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(f)\n\n\n\nprint('___SENTINEL___')\n","1f81600e651f1a93bbec0d598d362a4a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[123], [12], [3], [63], [25], [19], [9], [1], [1000], [500], [777], [10], [15], [27], [35], [50], [89], [201], [51], [11], [26], [778], [88], [202], [28], [200], [31], [30], [999], [32], [36], [87], [779], [998], [203], [86], [33], [14], [29], [34], [24], [204], [13], [23], [780], [85], [781], [206], [16], [499], [84], [207], [17], [205], [997], [199], [498], [37], [776], [775], [22], [52], [83], [774], [782], [78], [21], [208], [773], [98], [209], [497], [772], [996], [18], [8], [53], [7], [38], [79], [90], [20], [771], [97], [82], [6], [496], [770], [77], [62], [91], [783], [502], [61], [210], [92], [60], [93], [503], [501], [76], [75], [59], [888], [555], [400], [978], [505], [506], [401], [979], [504], [96], [556], [887], [507], [889], [508], [554], [977], [402], [399], [553], [95], [890], [398], [509], [886], [99], [510], [511], [891], [94], [552], [551], [550], [397], [885], [980], [396], [884], [100], [512], [994], [995], [57], [395], [892], [557], [982], [993], [80], [883], [981], [983], [58], [984], [403], [404], [5], [976], [974], [405], [985], [4], [973], [975], [893], [39], [494], [986], [101]]\n    results = [(8, 13), (4, 6), (1, 2), (6, 8), (5, 6), (4, 6), (4, 5), (0, 1), (48, 60), (28, 30), (38, 48), (4, 5), (4, 6), (5, 6), (5, 7), (6, 7), (8, 9), (8, 20), (6, 7), (4, 6), (5, 6), (38, 48), (8, 9), (9, 20), (5, 6), (8, 20), (5, 6), (5, 6), (48, 60), (5, 6), (5, 7), (7, 9), (38, 48), (48, 59), (9, 20), (7, 9), (5, 7), (4, 6), (5, 6), (5, 7), (5, 6), (9, 20), (4, 6), (5, 6), (38, 48), (7, 9), (38, 48), (9, 20), (4, 6), (28, 30), (7, 9), (9, 20), (4, 6), (9, 20), (48, 59), (8, 20), (28, 30), (5, 7), (38, 47), (38, 47), (5, 6), (6, 7), (7, 9), (38, 47), (38, 48), (7, 9), (4, 6), (9, 20), (38, 47), (8, 9), (9, 20), (28, 30), (38, 47), (48, 59), (4, 6), (4, 4), (6, 7), (3, 4), (5, 7), (7, 9), (8, 9), (4, 6), (38, 47), (8, 9), (7, 9), (3, 3), (28, 30), (38, 47), (7, 9), (6, 8), (8, 9), (38, 48), (28, 30), (6, 8), (9, 20), (8, 9), (6, 8), (8, 9), (28, 30), (28, 30), (7, 8), (7, 8), (6, 8), (47, 50), (28, 36), (18, 30), (48, 57), (28, 31), (28, 31), (18, 30), (48, 58), (28, 30), (8, 9), (28, 36), (46, 50), (28, 31), (47, 50), (28, 31), (28, 35), (48, 57), (18, 30), (18, 30), (28, 35), (8, 9), (47, 50), (18, 30), (28, 31), (46, 50), (8, 10), (28, 31), (28, 31), (47, 50), (8, 9), (28, 35), (28, 35), (28, 35), (18, 30), (46, 50), (48, 58), (18, 30), (46, 50), (8, 10), (28, 31), (48, 59), (48, 59), (6, 8), (18, 30), (47, 50), (28, 36), (48, 58), (48, 59), (7, 9), (46, 50), (48, 58), (48, 58), (6, 8), (48, 58), (18, 30), (19, 30), (2, 3), (48, 57), (48, 57), (19, 30), (48, 58), (2, 2), (48, 57), (48, 57), (47, 50), (5, 7), (28, 30), (48, 58), (8, 11)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(even_odd_palindrome)\n\n\nprint('___SENTINEL___')\n","fc41710398f00f09e932903f50bd9342"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3], [12]]\n    results = [(1, 2), (4, 6)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(even_odd_palindrome)\n\n\n\nprint('___SENTINEL___')\n","3b904d548d2aa0786f41b6143231abb3"]
[{"$cut":{"chars":107147,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[-1, -2, 0]], [[1, 1, 2, -2, 3, 4, 5]], [[1, 6, 9, -6, 0, 1, 5]], [[1, 100, 98, -7, 1, -1]], [[12, 23, 34, -45, -56, 0]], [[0, 1]], [[1]], [[0, 0, 0]], [[-1, 0, 1]], [[123, -456, 789]], [[0, -1, -20, 30]], [[-10, -11, -12, 13, 14, -20]], [[123, 456, 789, -987, -654, -321]], [[100, -250, 375, 500, -750]], [[-10, -20, -30, -40]], [[99, 999, 666, -5555]], [[101, -202, 303, -404, 505, -606]], [[123, 456, 789, 790, -987, -654]], [[101, 303, -404, -606]], [[-5555, -12, 101, -202, 303, -404, 505, -606]], [[100, -250, 375, -750]], [[101, -202, 303, -403, 505, -606]], [[0, -1, -20, 30, 0, -20]], [[-1, -20, 30, 0, -20, 0]], [[-1, 0, 1, -1, 0]], [[0, 666]], [[15, -10, -11, -12, 13, 14, -20]], [[-1, -404, 30, 0, -20, 0]], [[99, -250, 375, -750]], [[303, -404, -606]], [[0]], [[303, -405, -405, -606]], [[99, 99, 999, 666, -5555]], [[99, -250, 375]], [[-2, -20, 30, 0, -20, 0]], [[101, -987, 303, -404, -606]], [[99, 99, 666, -5554, -5555]], [[100, 790, 101, -202, 303, -403, 506, -606]], [[99, 99, 666, -5554, -5555, 99]], [[101, -202, 303, 505, -606]], [[-10, 123, -12, 13, 14, -20]], [[99, 666, -5554, -5555, -5554]], [[101, -202, 303, -403, -606]], [[99, 999, -202, 30, -5555, -202]], [[101, -202, 303, -404, 505, 302, -606, 302]], [[-10, -11, -12, 0, 14, -20]], [[-2, -20, 30, 0, 505, -11]], [[101, 101, -40, 303, -404, -606]], [[-1, 303, 1, -1, 0, 1]], [[99, 999, -202, 30, -5555, -202, 30]], [[15, -10, -11, -12, 13, 14]], [[101, -1, -40, 303, -404, -606]], [[123, 456, 789, -987, -654, -5555, -321]], [[101, 303, -404, 505, -606]], [[-10, -11, 505, 0, 14, -20]], [[-1, -404, 30, 999, -20, 0]], [[-1, -404, 30, 999, -20, 0, 0, 999]], [[101, -202, 303, -404, -606]], [[999, 666, -5555]], [[101, -404, 304, -404, 505, -606]], [[456, 789, 790, -987, -654, 790]], [[0, 0]], [[99, 999, -202, 30, -750, -5555, -202, 30]], [[101, -202, 303, -403, -606, 101]], [[-405, 303, -405, -405, -606]], [[101, -11, -202, -606, 505, -606]], [[999, 665, 666, -5555]], [[123, -456, 789, 123]], [[15, -10, -11, -12, 14, -20]], [[-1, -404, 999, 30, 999, -20, 0, 0, 999, 0]], [[123, 456, 789, -987, -654]], [[999, -1, -404, -750, 999, -19, 0]], [[100, -250, 375]], [[99, -250, 375, -750, -750]], [[-251, 99, -250, 375, -750]], [[99, 999, -202, 30, -5555, -202, 30, -202]], [[0, 0, 0, 0]], [[15, -10, -11, -12, 14, 14, -20]], [[-10, -11, -12, 13, 14, -20, 14]], [[-10, 30, -11, 505, 0, 14, -20]], [[-405, 506, 303, -405, -405, -606]], [[-405, -456, 303, -405, -405, -606]], [[99, 999, 666, -5555, 99]], [[101, -202, 303, -404, 505, -605, 302]], [[-2, -20, 30, 0, -20, 0, -20]], [[-405, 506, -250, -405, -405, -606]], [[99, 999, -250, -202, 30, -5555, -202, 30, 999]], [[-605, 303, -405, -405, -5555, -606, -606]], [[456, 789, 789, 790, -987, -654]], [[-1, -404, 30, 999, -20, 0, 0, -19, 999]], [[-30]], [[-1, 0, 1, -1]], [[101, -11, -202, -606, 666, -606, 666]], [[-1, -404, 14, 30, 999, -20, 0, 0, -19, 999]], [[99, 99, 999, 666, -5555, 666]], [[100, -250, 375, -250]], [[-12, -201, 101, -202, 303, -404, 505, -605, 302]], [[100, -605, 790, 101, -202, 303, -403, 506, -606]], [[99, -5554, 999, 666, -5555, 99]], [[-405, 506, 303, -405, -405, -606, -405]], [[456, 789, 790, -987, -654]], [[99, -5554, 999, 666, -5555]], [[0, 1, -1, 0]], [[123, -456, 789, 789, -456]], [[99, 999, -203, 30, -5555, -202, 30, -202]], [[999, -202, 30, -5555, -202]], [[-2, 0]], [[1000000, 999999, -888888, -123456, -987654, 11111, -22222, 3333, -4444, 555, 666, -77, 88, 9]], [[1, 2, 3,"}},"54cea00f28f7ed2eef16ba700c1b6678"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[]], [[-1, 11, -11]], [[1, 1, 2]]]\n    results = [0, 1, 3]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(count_nums)\n\n\n\nprint('___SENTINEL___')\n","f23f6d4eceb5b992151ea6bd574a19fe"]
[{"$cut":{"chars":31360,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[3, 4, 5, 1, 2]], [[3, 5, 10, 1, 2]], [[4, 3, 1, 2]], [[3, 5, 4, 1, 2]], [[]], [[1]], [[5, 6, 7, 8, 1, 2, 3, 4]], [[1, 2, 3, 4, 5, 6, 7, 8]], [[8, 7, 6, 5, 4, 3, 2, 1]], [[2, 1]], [[4, 3, 2, 1]], [[9, 7, 8, 6, 4, 5, 3, 1, 2]], [[3, 2, 1, 4, 5]], [[1, 2, 3, 4, 5]], [[5, 4, 3, 2, 1]], [[5, 6, 7, 8, 1, 2, 4]], [[5, 4, 3, 2]], [[8, 7, 6, 5, 4, 2, 1]], [[9, 2, 1]], [[1, 2, 3, 4]], [[5, 6, 8, 1, 2, 4]], [[6, 7, 8, 1, 2, 3, 4]], [[9, 2, 6]], [[5, 6, 8, 2, 4]], [[4, 3, 2]], [[86, 5, 9, 2, 4]], [[9, 5, 2, 6]], [[8, 7, 6, 5, 3, 1]], [[1, 2, 3]], [[86, 5, 2, 4]], [[8, 7, 6, 5, 3, 2]], [[7, 8, 6, 4, 5, 3, 1, 2]], [[4, 1]], [[8, 1]], [[3, 2, 1]], [[4, 3]], [[2, 1, 4, 5]], [[9, 7, 8, 5, 4, 3, 1, 2]], [[7, 6, 5, 4, 2, 1]], [[9, 4, 1]], [[86, 5, 2]], [[6, 2, 1, 4]], [[8]], [[3]], [[4]], [[1, 3]], [[7, 5, 4, 3]], [[2]], [[3, 5, 1]], [[3, 4]], [[3, 2, 4, 5]], [[1, 2]], [[2, 3, 1, 4, 5]], [[13]], [[86, 7, 6, 5, 4, 2, 1]], [[2, 3, 1, 5]], [[8, 7, 5, 3, 2]], [[5, 2]], [[2, 4, 5]], [[8, 2, 1, 4, 5]], [[9, 7, 6, 4, 5, 3, 1, 2]], [[5, 8, 2, 4]], [[9, 7, 8, 5, 4, 86, 3, 1, 2]], [[2, 8, 7, 6, 5, 3, 1]], [[2, 6, 9]], [[9, 2]], [[9, 7, 8, 5, 4, 6, 1, 2]], [[7, 6, 4, 5, 3, 1, 2]], [[3, 2, 6, 9]], [[1, 3, 2, 6]], [[5, 6, 7, 8, 1, 2, 3]], [[9, 7, 13, 5, 4, 6, 1, 2]], [[8, 7, 13, 6, 2]], [[8, 7, 6, 3, 2]], [[5, 6, 8, 7, 2, 3]], [[1, 7, 3]], [[3, 5]], [[6, 7, 8, 1, 3, 4]], [[6, 7, 8, 1, 2, 4]], [[9, 6, 7, 8, 1, 2, 3]], [[8, 7, 14, 6, 2]], [[3, 2]], [[86, 4, 1]], [[8, 7, 2, 6, 5, 3]], [[5, 6, 8, 7, 2, 4]], [[6, 8, 7, 13, 86]], [[5, 3, 2, 6, 7, 1, 8, 4]], [[1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12]], [[1, 4, 7, 8, 5, 3, 2, 6]], [[1, 2, 3, 4, 5, 6, 7, 9, 8]], [[1, 3, 2, 5, 4, 7, 6, 9, 8]], [[-2, 0, 2, 1, 3, 8, 7, 6, 5, 4]], [[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]], [[0, 1, 6, 2, 5, 8, 7, 4, 3]], [[5, 3, 2, 6, 7, 1, 4]], [[1, 3, 2, 4, 7, 6, 9, 8]], [[1, 3, 2, 4, 7, 6, 9, 11, 8]], [[1, 3, 2, 4, 7, 6, 9, 0, 8]], [[5, 3, 6, 7, 1, 8, 4]], [[1, -2, 7, 8, 5, 3, 2, 6]], [[1, 3, 5, 7, 9, 2, 4, 6, 8, 10, 12]], [[0, 1, 6, 2, 5, 8, 7, 3]], [[1, -2, 7, 8, 5, 3, 6]], [[5, 3, 6, 7, 0, 8, 4]], [[1, 3, 2, 4, 6, 9, 0, 8]], [[0, 1, 6, 5, 8, 7, 4, 3]], [[1, 3, 4, 5, 6, 7, 8]], [[1, 3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 13]], [[3, 5, 7, 9, 11, 2, 4, 6, 8, 10, 12]], [[1, 3, 5, 7, 10, 11, 2, 4, 6, 8, 12]], [[5, 7, 9, 11, 2, 4, 6, 8, 10, 12]], [[4, 7, 8, 5, 3, 2, 6]], [[1, 4, 5, 6, 7, 8]], [[1, 3, 0, 7, 9, 11, 2, 4, 6, 8, 10, 13]], [[5, 2, 6, 1, 8, 4]], [[1, 3, 2, 4, 7, 6, 11, 8]], [[1, 4, 5, 6, 7]], [[1, 2, 4, 7, 6]], [[9, 5, 7, 10, 11, 2, 4, 6, 8, 12]], [[3, 2, 7, 4, 6, 9, 0, 8]], [[1, 3, 2, 4, 6, 9, -1, 0, 8]], [[11, 1, 0, 5, 6, 7, 8]], [[3, 5, 7, 9, 11, 2, 4, 6, 8, 10]], [[1, 3, 2, 4, 6, -1, 0, 8]], [[3, 2, 4, 6, -1, 0, 8, 1]], [[1, 3, 2, 4, 6, 9, 8]], [[2, 5, 4, 7, 6, 9, 8]], [[-2, 0, 2, 1, 3, 8, 6, 5, 4]], [[1, 4, 5, 3, 6, 7]], [[7, 1, 3, 2, 4, 6, -1, 0, 8]], [[5, 3, 2, 6, 8, 1, 4]], [[10, 0, 1, 6, 2, 5, -1, 8, 7, 3]], [[5, 3, 6, 7, 1, 4]], [[8, 7, 6, 5, 4, 3, 2]], [[1, -2, 7, 4, 3, 2, 6]], [[5, 3, 6, 7, 1, 8]], [[5, 3, 6, 0, 8]], [[1, -2, 11, 8, 5, 3, 2, 6]], [[3, 5, 7, 10, 13, 11, 2, 4, 6, 8, 12]], [[1, 3, 2, 4, 7, 9, 0, 8]], [[1, 3, 2, 4, 7, 6, 9]], [[5, 7, 9, 2, 4, 6, 8, 10, 12]], [[8, 7, 5, 4, 2, 1]], [[0, 1, 6, 5, 2, 8, 7, 4, 3]], [[1, 5, 2, 4, 7, 6, 9]], [[5, 3, 0, 8]], [[4, 8, 5, 3, 2, 6]], [[1, 2, 3, 4, 5, 6, 9, 8]], [[5, 3, 2, 6, 7, 8, 1, 4]], [[5, 7, 9, 11, 2, 6, 8, 10, 12]], [[0, 1, 6, 8, 7, 4, 3]], [[5, 2, 6, 1, 7, 4]], [[5, 3, 6, 2, 1, 8, 4]],"}},"1cbfcaed44e6961e02baa88d52f65db5"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[3, 4, 5, 1, 2]], [[3, 5, 4, 1, 2]]]\n    results = [True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(move_one_ball)\n\n\n\nprint('___SENTINEL___')\n","0c65566030b2d1004332b49cce4fd1e1"]
[{"$cut":{"chars":52633,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4], [1, 2, 3, 4]], [[1, 2, 3, 4], [1, 5, 3, 4]], [[1, 2, 3, 4], [2, 1, 4, 3]], [[5, 7, 3], [2, 6, 4]], [[5, 7, 3], [2, 6, 3]], [[3, 2, 6, 1, 8, 9], [3, 5, 5, 1, 1, 1]], [[100, 200], [200, 200]], [[2, 4, 6], [1, 3, 5]], [[1, 3, 5], [2, 4, 6]], [[2, 2, 2], [1, 3, 5]], [[1, 3, 5], [2, 2, 2]], [[1, 3, 5, 7], [2, 4, 6]], [[2, 4, 6], [1, 3, 5, 7]], [[1, 3, 5, 7], [2, 4, 6, 8]], [[2, 4, 6, 8], [1, 3, 5, 7]], [[1, 3, 5, 7], [5, 7, 9, 11]], [[5, 7, 9, 11], [1, 3, 5, 7]], [[1, 5, 7], [5, 7, 9, 11]], [[2, 4, 6, 8, 8], [1, 3, 5, 7]], [[5, 7, 11], [1, 3, 5, 7]], [[1, 3, 5, 7, 7], [2, 4, 6, 8]], [[1, 3, 5, 7], [1, 3, 5, 7]], [[1, 3, 5, 7, 7], [2, 4, 6, 8, 6]], [[1, 3, 5, 7], [5, 7, 4, 11]], [[1, 3, 2, 7, 4, 7], [2, 4, 6, 8]], [[2, 4, 6, 8], [1, 3, 11, 7]], [[1, 3, 5, 7, 5], [1, 3, 5, 7, 5]], [[1, 3, 5], [1, 3, 5]], [[2, 4, 6, 6, 8, 6, 8], [1, 4, 3, 5, 7, 7]], [[1, 3, 2, 5, 7, 3], [1, 3, 2, 5, 7, 3]], [[5, 4, 3, 5, 7], [5, 4, 3, 5, 7]], [[1, 3, 5, 7, 3], [1, 3, 5, 7, 3]], [[1, 3, 2, 2, 7, 4, 7], [2, 4, 6, 8]], [[1, 3, 2, 5, 7, 3, 3], [1, 3, 2, 5, 7, 3, 3]], [[1, 3, 2, 5, 7, 7], [1, 3, 2, 5, 7, 7]], [[1, 3, 2, 5], [1, 3, 2, 5]], [[2, 4, 11, 6, 6], [1, 3, 5]], [[1, 2, 5, 7, 3, 3], [1, 2, 5, 7, 3, 3]], [[3, 5, 7], [3, 5, 7]], [[4, 1, 3, 5, 7, 3, 3], [4, 1, 3, 5, 7, 3, 3]], [[6], [1, 7, 7]], [[-1, 3, 5], [-1, 3, 5]], [[1, 3, 5, 7, 1, 5], [1, 3, 5, 7, 1, 5]], [[1, 2, 5, 7, 3], [1, 2, 5, 7, 3]], [[1, 3, 5, 7, 7], [1, 3, 5, 7, 7]], [[1, 3, 2, 7], [2, 4, 6]], [[2, 5, 4, 6], [2, 5, 4, 6]], [[1, 3, 5, 7, 1], [5, 7, 4, 11]], [[2, 4, 6, 3, 8], [1, 3, 5, 7]], [[1, 3, 5, 5, 1], [1, 3, 5, 5, 1]], [[2, 3, 6, 8, 2], [1, 3, 2, 7, 4, 7]], [[5, 7, 11], [1, 4, 3, 5, 7, 1]], [[1, 4, 5, 7], [1, 4, 5, 7]], [[5, 1, 3, 9, 5, 7], [5, 1, 3, 9, 5, 7]], [[4, 3, 5, 7, 7], [4, 3, 5, 7, 7]], [[3, 4, 7, 3], [3, 4, 7, 3]], [[1, 6, 3, 2, 5, 3, 5], [1, 6, 3, 2, 5, 3, 5]], [[5, 7, 4, 11], [1, 4, 3, 5, 7]], [[1, 8, 2, 5, 3, 3, 3], [1, 8, 2, 5, 3, 3, 3]], [[4, 1, 3, 5, 7, 3, 1, 3], [4, 1, 3, 5, 7, 3, 1, 3]], [[1, 3, 7, 3], [1, 3, 7, 3]], [[1, 3, 11], [2, 2]], [[2, 6, 8, 8], [2, 6, 8, 8]], [[1, 6, 3, 2, 5, 3, 5, 2], [1, 6, 3, 2, 5, 3, 5, 2]], [[1, 3, 2, 7], [2, 6, 6]], [[2, 4, 11, 6, 3, 11, 6], [2, 4, 11, 6, 3, 11, 6]], [[1, 3, 5, 7, 4, 7], [1, 3, 5, 7, 4, 7]], [[2, 2], [1, 3, 5]], [[1, 3, 3], [1, 3, 3]], [[2, 4, 6], [2, 4, 6]], [[5, 2, 3, 9, 5, 7, 2], [5, 2, 3, 9, 5, 7, 2]], [[7, 2, 4, 6, 8, 8], [1, 3, 5, 7]], [[6, 2, 2], [6, 2, 2]], [[1, 3, 2, 7, 8, 4, 7], [1, 3, 2, 7, 8, 4, 7]], [[2, 2], [3, 5]], [[5, 4, 4, 5, 7], [5, 4, 4, 5, 7]], [[1, 4, 5, 1, 7, 5], [1, 4, 5, 1, 7, 5]], [[1, 3, 5, 7, 0, 5], [1, 3, 5, 7, 0, 5]], [[-1, 1, 3], [-1, 1, 3]], [[5, 0, 2, 3, 9, 5, 7, 2], [5, 0, 2, 3, 9, 5, 7, 2]], [[1, 3, 5, 7, 1], [1, 3, 5, 7, 1]], [[1, 3, 2, 5, 7, 3, 5], [1, 3, 2, 5, 7, 3, 5]], [[1, 3, 2, 8, 5, 7, 3], [1, 3, 2, 8, 5, 7, 3]], [[2, 4, 6, 6], [2, 4, 6, 6]], [[1, 4, 11, 6, 3, 11, 6], [1, 4, 11, 6, 3, 11, 6]], [[2, 4, 6], [1, 3, 1, 4, 7]], [[1, 3, 1, 2, 2, 7, 4, 7], [1, 3, 1, 2, 2, 7, 4, 7]], [[1, 3, 2, 1, 2, 2, 7, 4, 7], [1, 3, 2, 1, 2, 2, 7, 4, 7]], [[1, 3, 11, 0, 7], [1, 3, 11, 0, 7]], [[1, 7, 7], [1, 7, 7]], [[2, -1, 11, 8], [2, -1, 11, 8]], [[4, 1, 3, 7, 3, 8, 3, 3], [4, 1, 3, 7, 3, 8, 3, 3]], [[5, 1, 3, 0, 9, 5, 7], [5, 1, 3, 0, 9, 5, 7]], [[1, 4, 5], [1, 4, 5]], [[4, 2, 3, 6, 7, 3, 1, 3], [4, 2, 3, 6, 7, 3, 1, 3]], [[1, 3, 2, 5, 5], [1, 3, 2, 5, 5]], [[4, 2, 3, 6, 7, 3, 1, 3, 4], [4, 2, 3, 6, 7, 3, 1, 3, 4]], [[3, 5, 7, 0, 5], [3, "}},"4921167459b8fd06341f1e16573e41bf"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4], [1, 2, 3, 4]], [[1, 2, 3, 4], [1, 5, 3, 4]]]\n    results = ['YES', 'NO']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(exchange)\n\n\n\nprint('___SENTINEL___')\n","4242f78762806e07fbd794bb5617ef7e"]
[{"$cut":{"chars":79420,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['a b b a'], ['a b c a b'], ['a b c d g'], ['r t g'], ['b b b b a'], [''], ['a'], ['x y z x y z x'], ['c a r s'], ['h e l l o'], ['a b b b b b'], ['p u z z l e'], ['a a a a a a a b b b b b b b'], ['c c c c b b b a a a'], ['p p p r r r'], ['a b c d e f g'], ['h i j j k l m m m n o o o o p'], ['a b b  b b b'], ['h i j j k l m m m p'], ['a a a a a a a b b b b b b'], ['a b h i j j k l m m m n o o o o p'], ['h i j j k l m m m n o o o o  p'], ['a b b  b b  b'], ['h i j j  k l m m m n o o o o  p'], ['a b c  d e f g'], ['p  l  e'], ['h i j j   k l  m m m n o o o o  p'], ['p u z l e'], [' p p p r r r'], [' p p p  r r r'], ['a a a a a a a b b  b b b b'], ['p l  e'], ['h i j j   k l  m  o o  p'], [' p r'], ['a b b b b b  b'], [' p '], ['a b c  d  e f g'], ['a b b b b'], ['h i j m m m p'], ['h i j j   k l  m  p'], ['h  i j j   k l  m  o o  '], ['h i j j    k l  m   p'], ['a a a a a a a b b  b'], ['a b b  b b   b'], [' p  '], ['  p p r r r'], ['h  i j j   k l  m  o  '], ['h i j j k l m m m n  o o o o  p'], ['h  i j j k l  m  o  '], ['h i j j   k l  m  o p'], ['x y z x y  z x'], [' p h  i j j k l  m  o  '], ['h  i j j   k l  m  o   '], ['a b c  e f g'], ['c c c c b b b a  a a'], ['p u z z  l e'], ['h i j j k l m m m n o  o o o  p'], ['a b c d e  p  f g'], ['a b h i j j m m m n o o o o p'], ['x y z x y  z x '], ['h i j j k l m m m n o o p'], ['a b  b b b b'], ['h   i j j   k l  m  o   '], ['p  l h i j j k l m m m p e'], ['a b b  b b b  b'], ['h e'], ['h i j j k l m m m n o  o o   p'], ['p  l h i j j k l m  e'], [' p p p r r r p '], ['  p p  r r r'], ['a b c h  i j j k l  m  o  d e  p  f g'], ['p u z z  e'], ['p  u z z  e'], ['p u z z  l  e'], ['  p  '], ['  s'], ['h i j j k  h i j j   k l  m  o o  p p p p r r r m m n o o o o  p'], ['h  i j m m m p'], ['p  l h i j j k  l m  e'], ['  p p r h i j j k l m m m n  o o o o  p r'], [' p'], [' a b b  b b   b'], [' a b b  b b    b'], [' a  b b  b b   b'], ['h  i j  p p r r r j   k l  m'], ['c c c c b b a a'], [' p p p r  r r'], [' r'], ['a b b  b'], ['h  i  j m m m'], ['h  i j j k l   m  o  '], ['h i j j k  h i j j   k l  m  o o  p p p p r r r m m n  o o o o  p'], ['a a a a a a a b b b  b'], ['  p p p  r r r '], ['p  l  h i j j k l m  e'], ['p  p p r h i j j  p p p r r r p k l m m m n  o o o o  p r  u z z  e'], ['a  b c d e f g'], ['  p'], ['   p  '], ['a a p h  i j j k l  m  o   a a a a a b b b b b b'], ['a  a a a a a a b b  b b b b'], ['  p   p '], ['p   l  e'], ['h  i p p r h  i j j   k l  m  o o   r r j   k l  m'], ['c a a a a b b d d d d f f f g h i'], ['p p q q q r r r s s s t t t u u u v v w w x x y y z z'], ['o o o o o o p p p p p p q q q q q q r r r r r r s s s s s s t t t t t t u u u u u u v v v v v v w w w w w w x x x x x x y y y y y z z z z z'], ['l m m m m m m m m n n n n n n n n n n n n n n o o p p q q r r s'], ['     a a a a b b d d d d f f f g h i  '], ['x y z x y z x y z x y z x y z x y z x y z x y z x'], ['    a b        c d e f   a g g h h h i j j j k k k l l l l m n o p q r r r s s s s s s s t t t t t t t t u v w x y z'], ['a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g h i j k l m n o p q r s t u v w x y z a b c d e f g'], ['x y a a a b b d d d d f f f g h i i i i i j j j j k k k k l l l l m n o p q r r r s s s s s s s t t t t t t t t u v w'], ['    x      a b c d e f   a g g h h h h i j j j k k k k l l l l m n o p q r r r s s s s s s s t t t t t'], ['h'], ['l'], ['x y a a a b b d d d d f f f g h i i i i i j j j  j k k k k l"}},"b6d04c1c9ccc51352d1fc3a436f0a155"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['a b c'], ['a b b a'], ['a b c a b'], ['b b b b a'], ['']]\n    results = [{'a': 1, 'b': 1, 'c': 1}, {'a': 2, 'b': 2}, {'a': 2, 'b': 2}, {'b': 4}, {}]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(histogram)\n\n\n\nprint('___SENTINEL___')\n","4724608812c1feefae649b3d93a27f71"]
[{"$cut":{"chars":53186,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['abcde', 'ae'], ['abcdef', 'b'], ['abcdedcba', 'ab'], ['dwik', 'w'], ['a', 'a'], ['abcdedcba', ''], ['abcdedcba', 'v'], ['vabba', 'v'], ['mamma', 'mia'], ['racecar', 'ace'], ['level', 've'], ['noon', 'on'], ['abcba', 'bc'], ['kayak', 'ka'], ['deified', 'de'], ['radar', 'ad'], ['tenet', 'ne'], ['reviver', 'er'], ['refer', 'fe'], ['non', 'on'], ['abcba', 'ne'], ['radar', 'a'], ['vee', 've'], ['ave', 've'], ['level', 'ave'], ['ve', 've'], ['er', 'ervee'], ['bc', 'ervee'], ['noon', 've'], ['ve', 'v'], ['', 've'], ['deified', 'ne'], ['WqHkuRXIf', 'WqHkuRXIf'], ['ervee', 'vrefere'], ['vnonrefere', 've'], ['nooon', 'noon'], ['vrevivere', 've'], ['racecar', 'racecar'], ['ratcetenetcar', 'racetenetcar'], ['deified', 'deifiedracecar'], ['vnonrefere', 'v'], ['er', 'e'], ['noonoa', 'noona'], ['ve', 'WqHkuRXIf'], ['racetenetcar', 'racetenetcar'], ['', 'e'], ['tenet', 'tenet'], ['vreviveere', 'vrevivere'], ['tenet', 'radar'], ['racecar', 'deace'], ['refer', 'er'], ['racecar', 'vrevivere'], ['dei', 'deified'], ['re', 'rer'], ['vnonvreviveererefere', 'v'], ['accce', 'acce'], ['vnoone', 'v'], ['deifiedve', 'deified'], ['noner', 'ervee'], ['refer', 'vfe'], ['refer', 'vnonvreviveererefere'], ['deifeied', 'deified'], ['racet', 'racetenetcar'], ['abcba', 'abcba'], ['radar', ''], ['refer', 'refer'], ['', ''], ['vnoone', 'xUJIA'], ['onooon', 'nooon'], ['tdetenet', 'tenet'], ['ve', 'WqHXIf'], ['dveeifieacced', 'dveeified'], ['tenetvnonvreviveererefere', 'tenet'], ['dedi', 'e'], ['dedi', 'dedi'], ['r', 'reviver'], ['referr', 'refer'], ['kaonyak', 'kayak'], ['radarr', 'radar'], ['tdetenet', 've'], ['reviver', 'de'], ['radarr', 'radarr'], ['non', 'non'], ['raderveenar', 'deifiedracecara'], ['dei', 'ne'], ['racetenvfeetcar', 'racetenettcar'], ['ne', ''], ['avreviveerebcba', 'bc'], ['erve', 'ervee'], ['noxUJIAn', 'non'], ['racecar', 'ne'], ['vffe', 'vfe'], ['bc', 'bc'], ['e', 'ee'], ['none', 'vfe'], ['vnonreeferrer', 'v'], ['onooon', 'onooon'], ['raderveenar', 'raderveenar'], ['ve', 'eve'], ['nonnon', 'nonnon'], ['raderveenar', 've'], ['vee', 'vee'], ['lelvel', 'ave'], ['vededie', 'vee'], ['raceetenvfeetcar', ''], ['refer', 'fee'], ['acreferrcce', 'accce'], ['racetenvftcar', 'noxUJIAn'], ['dde', 'deified'], ['racecar', 'aei'], ['kayak', 'xyz'], ['madam', 'ab'], ['rotator', 'z'], ['tattarrattat', 'bcdfghjklmnpqvwxyz'], ['abcedeba', 'aceb'], ['level', 'ev'], ['racecar', 'a'], ['rotator', 't'], ['asymmetrical', 'lme'], ['asymmetr', 'asymmetrical'], ['mmadam', 'ab'], ['lme', 'lme'], ['aceb', 'lme'], ['kayak', 'lme'], ['racecaeir', 'racecaeir'], ['abcedeba', 'abcedeba'], ['t', 't'], ['xyz', 'xyz'], ['racecar', 'raccecar'], ['racecaeir', 't'], ['kkayk', 'xyz'], ['mmadadm', 'mmaadam'], ['kayakaceb', 'abcedeba'], ['mmadadm', 'dmmaadam'], ['racecaeir', 'racmadamecaeir'], ['lme', 'a'], ['mmadadm', 'bcdfghjklmnpqvwxyz'], ['rotator', 'asymmetr'], ['kayak', 'ev'], ['madam', 'aab'], ['racecaeir', 'ev'], ['mmadaaeim', 'dmmaadam'], ['aab', 'asymmetrical'], ['kayak', 'racmadamecaeir'], ['ammadadm', 'mmadadm'], ['asymmetrical', 'lmme'], ['kayakasymmetr', 'kayak'], ['t', 'xxyz'], ['aei', 'mmaadam'], ['bcdfghjklmnpqvqwxyz', 'mmadadm'], ['bcdfghraccecarjklmnpqvkkaykwxyz', 'bcdfghjklmnpqvwxyz'], ['adm', 'mmaadam'], ['madbcdfghraccecarjklmnpqvkkaykwxyzam', 'madam'], ['kaadmyak', 'xyz'], ['aceb', 'aceb'], ['rotrator', 'rotrator'], ['bcdfghjklmnpqvwxyz', 'ev'], ['ab', 'ab'], ['bcdfghjklmnpqvqwxyz', 'bcdfghjklmnpqvqwxyz'], ['tattarrattat', 'x"}},"34e1e27381887d667ceffd04df69a37c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['abcde', 'ae'], ['abcdef', 'b'], ['abcdedcba', 'ab']]\n    results = [('bcd', False), ('acdef', False), ('cdedc', True)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(reverse_delete)\n\n\n\nprint('___SENTINEL___')\n","c490520daa1760985a4f9dbf7f165c1e"]
[{"$cut":{"chars":502108,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[['1234567']], [['3', '11111111']], [['271', '137', '314']], [['2468']], [[]], [['0', '00', '000']], [['13579', '2468', '357']], [['11224466558888', '55555', '1234567']], [['1111', '3333', '5555', '7777', '9999']], [['444', '8888']], [['555', '777']], [['1111', '333', '5555']], [['123', '321', '12321']], [['7778888', '444', '8888']], [['778888', '333']], [['778888', '12321', '333333']], [['778888']], [['778888', '333', '333']], [['11224466558888', '8888', '55555', '1234567']], [['7778888', '444']], [['2468', '2468']], [['444', '4444', '8888']], [['7778888', '2468', '777', '2468']], [['0', '00', '00', '000']], [['77444888', '12321', '333333', '77444888']], [['13579', '2468', '24648', '357']], [['77444888', '12321', '333333', '77444888', '77444888']], [['747444888', '74447444888', '12321', '333333', '774444888', '77444888']], [['77444888', '12321', '77444888']], [['778888', '333', '333', '333']], [['13579', '3757', '11224466558888', '2468', '3537']], [['7778888', '444', '3757', '8888']], [['24628', '13579', '2468', '357']], [['7778888', '435744']], [['1111', '333', '555', '5555']], [['44413579', '8888']], [['2468', '3333', '2468']], [['77444888', '132321', '77444888']], [['77444888', '12321', '33335555533', '333333', '77444888']], [['55555', '1111', '3333', '5555', '7777', '9999']], [['778855588', '778888', '333', '333']], [['7778888', '88877788888', '444', '3757', '8888']], [['778855588', '778888', '333', '333', '778855588']], [['333']], [['7788878', '333333']], [['1111', '333']], [['11224466558888', '8888']], [['8888', '77444888', '333333', '77444888']], [['747444888']], [['13579', '24648', '357']], [['778888', '778888']], [['123', '3231', '321', '355555231', '12321']], [['778888', '333', '33', '4444333', '333']], [['7778888', '444', '8888', '444']], [['778888', '8778888', '778888']], [['7874448888', '77444888', '12321', '333333', '787444888', '77444888']], [['7778888', '444', '8888', '7778888']], [['7778888', '2468', '268']], [['7778888', '24268', '777', '2468']], [['77444888', '12321', '333333', '77444888', '333333']], [['004441357901111', '0', '00', '0001111']], [['1111', '333', '5555', '5555']], [['7778888', '77788888', '132321']], [['11224466558888', '55555', '1234567', '11224466558888']], [['1111']], [['1111', '333', '333']], [['1111', '333', '3']], [['747444888', '74447444888', '12321', '333333', '75555547444888', '774444888', '77444888']], [['77444888', '12321', '33335555533', '333333']], [['77444888', '132321', '774888']], [['778855588', '24628', '333', '778855588']], [['1111', '333', '3', '1111']], [['7474448833388', '7474448888']], [['2464877444888', '12321', '333333', '77444888', '333333']], [['2464877444888', '12321', '333333', '77444888', '333132321333']], [['778855588', '24628', '3', '000', '333']], [['13579', '357']], [['778855588', '24628', '3', '000', '333', '24628']], [['7878888', '778888', '7778888', '778888']], [['333', '333']], [['2464877444888', '12321', '333333', '77444888']], [['7733378888', '2468', '777', '2468']], [['1111', '3333', '5555', '7777', '9999', '1111']], [['778855588', '246', '333']], [['474413579', '44413579', '8888']], [['1111', '3333', '5555', '7777', '99999']], [['44413579', '8888', '8888']], [['44413579', '8888', '88888']], [['778888', '333', '33', '4444333', '333', '333', '333']], [['00333', '3333', '333']], [['13579', '2468', '24648', '357', '2468']], [['444', '7874448888', '8888', '8888']], [['77444888', '12321', '33335555533', '774484888', '33"}},"a4e44ed3ad1afc4c02f2782f23776e11"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[['1234567']], [['3', '11111111']]]\n    results = [['the number of odd elements 4n the str4ng 4 of the 4nput.'], ['the number of odd elements 1n the str1ng 1 of the 1nput.', 'the number of odd elements 8n the str8ng 8 of the 8nput.']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(odd_count)\n\n\n\nprint('___SENTINEL___')\n","45600430ef00b70966636c6907e24e56"]
[{"$cut":{"chars":74615,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[2, 3, 4, 1, 2, 4]], [[-1, -2, -3]], [[-1, -2, -3, 2, -10]], [[-9999999999999999]], [[0, 10, 20, 1000000]], [[-1, -2, -3, 10, -5]], [[100, -1, -2, -3, 10, -5]], [[10, 11, 13, 8, 3, 4]], [[100, -33, 32, -1, 0, -2]], [[-10]], [[7]], [[1, -1]], [[2, 4, -1, 3, 5, -4, 1, -2]], [[4, -4, -5, -3, 5, -1, 6]], [[-10, 5, 3, -2, 0, 4, -8]], [[2, 1, -3, 4, -1, 2, 1, -5, 4]], [[-2, -5, -8, -3, -1, -2, -4]], [[3, 2, -5, 4, 1, -3, 2, -2, 5]], [[1, 2, -3, -4, 7, -6, 8, -10]], [[-1, -2, -3, -4]], [[-2, 3, -1, -4, 6, -7, 8, -5]], [[-10, -15, -20, -25, -30]], [[-2, -1, -4, 6, -7, 8, -5]], [[-2, -1, -4, 6, -7, 8, -4, -5]], [[-5, 4, -4, -5, -3, 5, -1, 6]], [[1, 2, -3, -4, 7, -6, 8, -10, -6]], [[-2, 1, -4, 6, -7, -4, -5]], [[-2, 3, -1, -4, -2, 6, 8, -5, 8]], [[-2, 1, -4, 6, -7, -4, -5, 1]], [[-2, -5, -8, -3, -1, 5, -4]], [[3, 2, -5, 4, 2, -3, 2, -2, 5]], [[3, 2, -5, 4, 2, -3, 2, 5]], [[-10, 4, 5, 3, -2, 0, 4, -8]], [[-5, -8, -3, -1, -2, -4, 6, -1]], [[-2, 1, 2, 6, -7, -3, -5, 1, -2]], [[-2, -5, -8, -3, -1, -2, -4, -3]], [[-5, 4, -3, -5, -3, 5, -1, 6]], [[-2, -1, -4, 6, 7, -7, 8, -6]], [[-2, 1, -4, 6, -7, -4, -5, 1, -4]], [[1, 2, -3, 7, -6, 8, -10]], [[-5, -8, -3, -2, -4, 6, -1]], [[-2, 3, -1, -4, 6, 8, -5, -2]], [[-6, -5, 4, -3, -5, -3, 5, -1, 6]], [[1, 2, 7, -6, 8]], [[-5, 2, 4, -1, 3, 3, 5, -4, 1, -2]], [[1, -3, 4, -1, 2, 1, -5, 4]], [[-2, -1, -4, 8, -5, -2, 6]], [[-3, -2, -3, -4]], [[-2, -5, 8, -8, -3, -1, -2, 0, -4]], [[-2, -5, 8, -8, -3, -1, -2, -2, -4]], [[-2, 1, -4, -7, -4, -5, 1, -4]], [[-8, -3, -2, -4, 6, -1]], [[3, 2, -5, 4, 2, -3, 2, -1]], [[-5, -1, -2, -4, 6, -1, -1]], [[1, 2, -6, 8]], [[-5, -1, -2, -2, -4, 6, -1, -1]], [[-5, -8, -3, -2, -3, 6, -1]], [[-5, -1, 3, -2, -4, 6, -1, -1]], [[3, 2, -5, 4, 1, -3, 1, -2, 5]], [[-2, 1, -4, 6, -7, 0, -4, -5, 1]], [[2, 1, -3, -1, 2, 1, -5, 5]], [[-2, -5, -8, -3, -1, -2, -4, -10, -3]], [[-5, 4, -4, -5, -3, 5, -30, 6]], [[-15, 2, -3, -4, 7, 8, -10]], [[-5, -4, -1, -2, -4, 6, -1, -1]], [[-2, 1, -4, 6, -10, 0, -4, -5, 1]], [[-2, 3, -4, -2, 6, 8, -5, 9, -1]], [[-3, -4]], [[-2, 1, -4, 6, -7, 2, -4, -5, 1, -4, -4]], [[-2, 1, 2, 6, -7, -4, -3, -5, 1, -2, 2]], [[-3, -2, -3, 4, -4]], [[3, 2, -5, 4, 2, -3, 2, 5, 4]], [[-5, -8, -3, -1, -2, -4, -1]], [[2, 1, -3, -1, 2, 1, -5, 5, -1]], [[2, 1, 2, -3, -1, 1, -5, 5]], [[-5, -1, -2, -4, 6, 9, -1]], [[-6, 6, 5, 3, -2, 0, 4, -8]], [[-5, 4, -30, -3, 5, -1, 6]], [[-8, -3, -2, -4, 6, -1, -8]], [[-2, 1, 2, 6, -7, -4, -3, -5, 1, -2, 2, 1]], [[-2, -4, 6, -7, -25, -5, 1, -4]], [[-6, 6, 5, 3, -2, -3, 0, 4, 3, -8]], [[1, 2, -3, 7, -6, 8, -10, 1]], [[-2, -5, -8, -3, -1, -2, -4, -4]], [[-5, -8, -3, -2, -3, 6, -3, -1]], [[0, -3, -2, -4, 6, -1, -8, -8]], [[1, 2, -3, -4, 7, -6, 8, -10, -6, -6]], [[-2, -1, -4, 6, -7, 8, -5, -2]], [[0, -7, -2, -3, -4]], [[1, -4, 6, -7, -4, -5]], [[-3, -5, -8, -3, -2, -4, -10, -3]], [[5, -1, -2, -2, -4, 6, -1, -1]], [[2, 4, -1, 3, 5, -4, 1, 5, -2]], [[3, 2, -5, 3, 2, -3, 2, -1]], [[2, 1, 2, -3, -1, 1, -5, 5, 5]], [[-2, 3, -4, -2, 6, 8, -5, 9, -1, -2]], [[-15, 2, -3, -4, 7, 8, -10, -10, 2]], [[-2, 3, -1, -4, 6, 8, -5, -2, 3]], [[-5, -1, -2, -4, 6, -1, -1, -1]], [[2, -5, 4, -1, 3, 5, -4, 1, -2]], [[-3, -5, -8, -3, -2, -4, -10]], [[-2, 3, -4, 6, -5, 9, -6, -2, 3]], [[3, 2, -5, 4, 0, 1, -3, 2, -2, 5]], [[-3, -5, -8, -3, -2, -4, -3]], [[-7, -8, -3, -2, -4, 6, -1, -8, -3]], [[-2, 3, -2, -4, 6, -7, 8, -5]], [[1, 3, 2, -3, 7, -6, 8, -10, 1, 1]], [[-1, -5, -1, -2, -2, -4, 6, -1, -1]], [[-5, -4, -1, -2, -4, 6, -1, -1, -4]]"}},"d52fdd9249e5b497a5a61fedcfd80081"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[2, 3, 4, 1, 2, 4]], [[-1, -2, -3]]]\n    results = [1, -6]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(minSubArraySum)\n\n\n\nprint('___SENTINEL___')\n","e641e544ee8c26cd1cc745eee1f116b1"]
[{"$cut":{"chars":55731,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[[0, 0, 1, 0], [0, 1, 0, 0], [1, 1, 1, 1]], 1], [[[0, 0, 1, 1], [0, 0, 0, 0], [1, 1, 1, 1], [0, 1, 1, 1]], 2], [[[0, 0, 0], [0, 0, 0]], 5], [[[1, 1, 1, 1], [1, 1, 1, 1]], 2], [[[1, 1, 1, 1], [1, 1, 1, 1]], 9], [[[1, 0, 0, 1], [0, 1, 1, 1], [0, 0, 0, 0], [1, 0, 1, 1]], 2], [[[1, 1, 1], [1, 0, 1], [1, 1, 1], [1, 1, 1]], 3], [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], 1], [[[0, 1, 0, 1], [1, 0, 0, 0], [1, 1, 1, 1]], 2], [[[1, 0, 0], [0, 1, 0], [0, 0, 1]], 2], [[[1, 0, 0], [0, 1, 0], [0, 0, 1]], 1], [[[1, 1, 1], [1, 1, 1]], 2], [[[0, 0, 1, 0], [0, 0, 1, 0], [1, 1, 1, 1]], 2], [[[0, 0, 0, 0], [0, 0, 0, 0]], 1], [[[1, 0, 0, 1], [0, 1, 1, 0], [1, 0, 0, 1]], 3], [[[0, 0, 1, 0], [0, 0, 1, 0], [1, 1, 1, 1], [0, 0, 1, 0]], 2], [[[0, 1, 0, 1], [1, 0, 0, 0], [1, 1, 1, 1]], 3], [[[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0]], 2], [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], 1], [[[0, 1, 0, 1], [1, 0, 0, 0]], 3], [[[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0]], 3], [[[1, 1, 1], [1, 0, 1], [1, 1, 1], [1, 1, 1]], 4], [[[0, 0, 0, 0]], 1], [[[0, 1, 0], [0, 0, 1], [1, 0, 0]], 2], [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], 2], [[[0, 1, 0], [0, 0, 1], [1, 0, 0]], 4], [[[0, 1, 0], [0, 0, 1]], 4], [[[0, 1, 0], [0, 0, 1], [1, 0, 0]], 3], [[[0, 1, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0]], 3], [[[0, 0, 1, 0], [0, 1, 1, 0], [0, 1, 1, 0], [1, 1, 1, 1], [0, 1, 1, 0]], 2], [[[0, 0, 0, 0]], 3], [[[1, 1, 1]], 2], [[[1, 1, 1], [1, 0, 1], [1, 1, 1], [1, 1, 1], [1, 1, 1], [1, 1, 1]], 4], [[[0, 0, 0, 0]], 4], [[[1, 0, 0], [0, 1, 0]], 1], [[[0, 0, 1, 0], [0, 0, 1, 0], [1, 1, 1, 1], [0, 0, 1, 0]], 1], [[[0, 0, 1, 0], [0, 0, 1, 0], [1, 1, 1, 1]], 4], [[[0, 0, 1], [0, 0, 0], [0, 0, 0], [0, 0, 0]], 1], [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], 3], [[[0, 0, 0], [0, 0, 0]], 4], [[[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0]], 4], [[[1, 1, 1], [1, 0, 1], [1, 1, 1], [1, 1, 1], [1, 1, 1], [1, 1, 1]], 1], [[[0, 1, 0, 1], [1, 0, 0, 0]], 1], [[[0, 1, 0], [0, 0, 1], [1, 0, 0]], 1], [[[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0]], 1], [[[0, 0, 1, 0], [0, 0, 1, 0], [1, 1, 1, 1]], 3], [[[1, 1, 1], [1, 0, 1], [1, 1, 1]], 1], [[[1, 1, 1], [1, 1, 1]], 1], [[[0, 0, 0]], 2], [[[0, 1, 0], [1, 0, 0]], 4], [[[0, 1, 0], [1, 0, 0], [0, 0, 1], [1, 0, 0], [0, 1, 0]], 2], [[[1, 1, 1]], 4], [[[0, 0, 1, 0], [0, 0, 1, 0], [1, 1, 1, 1], [0, 0, 1, 0]], 3], [[[0, 0, 0, 0]], 5], [[[1, 0, 0, 1], [0, 1, 1, 1], [0, 0, 0, 0]], 2], [[[0, 0, 1, 0], [1, 1, 1, 1]], 6], [[[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]], 4], [[[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [1, 0, 0]], 1], [[[0, 1, 0, 1], [1, 0, 0, 0], [1, 1, 1, 1]], 4], [[[0, 0, 0], [0, 0, 0]], 3], [[[1, 1, 1], [1, 1, 1]], 3], [[[0, 0, 1, 0], [0, 0, 1, 0], [1, 1, 1, 1], [0, 0, 1, 0], [0, 0, 1, 0]], 3], [[[1, 0, 0], [1, 1, 0], [0, 0, 1], [1, 0, 0]], 3], [[[1, 1, 1], [1, 1, 1], [1, 1, 1]], 2], [[[0, 1, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0]], 4], [[[1, 1, 1], [1, 0, 1], [1, 1, 1], [1, 1, 1]], 1], [[[0, 0, 0, 0], [0, 0, 0, 0]], 2], [[[1, 0]], 6], [[[0, 0, 0, 0], [0, 0, 0, 0]], 6], [[[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0]], 5], [[[0, 0, 0, 0], [0, 0, 0, 0]], 5], [[[1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 0, 0], [1, 0, 0], [1, 0, 0]], 3], [[[0, 0, 0]], 7], [[[0, 0, 0]], 3], [[[1, 0, 0, 1], [0, 1, 1, 1], [0, 0, 0, 0], [1, 0, 0, 1]], 2], [[[1, 0], [1, 0], [1, 0]], 6], [[[1, 0, 0], [1, 0, 0]], 4], [[[0, 0, 0, 0], [0, 0, 0, 0]], 3], [[[1, 0, 0, 1], [0, 0, 0, 0], [1, 0, 0, 1]], 2], [[[1, 1, 1, 1]], 7], [[[1, 0,"}},"110d2eeaa8483f8848052a4b118e6b5f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[[0, 0, 1, 0], [0, 1, 0, 0], [1, 1, 1, 1]], 1], [[[0, 0, 1, 1], [0, 0, 0, 0], [1, 1, 1, 1], [0, 1, 1, 1]], 2], [[[0, 0, 0], [0, 0, 0]], 5]]\n    results = [6, 5, 0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(max_fill)\n\n\n\nprint('___SENTINEL___')\n","850824dbdaee7b0c490f5d239791e3a9"]
[{"$cut":{"chars":94527,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 5, 2, 3, 4]], [[-2, -3, -4, -5, -6]], [[1, 0, 2, 3, 4]], [[]], [[2, 5, 77, 4, 5, 3, 5, 7, 2, 3, 4]], [[3, 6, 44, 12, 32, 5]], [[2, 4, 8, 16, 32]], [[3, 7, 6, 5, 4]], [[10, 8, 12, 11, 9]], [[111, 222, 333, 444]], [[100000000, 0, 10101010, 111111111, 100000]], [[0, 15, 3, 7, 12]], [[2, 4, 6, 8, 10]], [[16, 32, 64, 128, 256]], [[1023, 511, 255, 127, 63]], [[2, 4, 6, 8, 10, 10]], [[33, 16, 32, 64, 128, 256, 32]], [[7, 12, 11, 9]], [[3, 7, 6, 6, 5, 4]], [[3, 111, 221, 222, 333, 444, 222, 222]], [[3, 111, 511, 222, 3, 333, 444, 222, 222, 222]], [[127, 32, 12, 11, 9]], [[3, 111, 511, 222, 3, 333, 444, 222, 221, 222, 512]], [[15, 0, 10101010, 0, 100000]], [[111, 15, 222, 333, 444]], [[3, 111, 511, 222, 3, 333, 444, 222, 222]], [[0, 15, 3, 7, 12, 3]], [[2, 4, 6, 10, 10]], [[0, 15, 3, 7, 12, 12, 3, 3]], [[3, 111, 511, 222, 3, 333, 444, 222, 222, 222, 111]], [[111, 15, 222, 333, 444, 333]], [[511, 16, 32, 2, 128, 256]], [[0, 15, 3, 12]], [[0, 15, 3, 12, 3]], [[0, 100000, 3, 7, 12]], [[7, 12, 11, 9, 12]], [[127, 32, 12, 11, 9, 12]], [[4, 7, 6, 5, 4]], [[2, 4, 2, 6, 8, 10, 8]], [[4, 6, 10, 10]], [[511, 16, 32, 2, 128]], [[127, 32, 12, 11, 9, 13]], [[15, 0, 10101009, 0, 100000]], [[2, 4, 2, 6, 8, 10, 9]], [[111, 15, 222, 333, 444, 333, 222]], [[4, 7, 6, 5, 3, 4, 7]], [[16, 15, 3, 12, 3]], [[3, 7, 6, 6, 4]], [[111, 222, 333, 334, 444]], [[16, 15, 3, 12, 3, 15]], [[16, 12, 15, 3, 12, 3]], [[3, 111, 222, 333, 444, 222, 222]], [[32, 12, 11, 9, 12]], [[16, 15, 3, 13, 3, 15]], [[15, 0, 10101010, 0, 100000, 100000]], [[16, 12, 15, 12]], [[7, 12]], [[2, 4, 2, 6, 10, 9]], [[10, 9, 12, 11, 9]], [[10, 8, 12, 11]], [[3, 111, 511, 222, 3, 333, 444, 222, 222, 222, 222]], [[32, 2, 128, 128]], [[10, 8, 12, 7, 11]], [[111, 222, 333, 444, 444]], [[511, 16, 32, 2, 128, 256, 128]], [[16, 2, 128, 128]], [[2, 4, 2, 6, 10, 9, 2]], [[7, 8, 64, 12]], [[333, 111, 15, 222, 332, 444, 333, 222]], [[12, 3, 12, 3]], [[511, 16, 32, 2, 128, 129, 128, 32]], [[512, 16, 32, 2, 128]], [[10, 9, 12, 11, 9, 9]], [[10, 12, 11, 10101009, 9]], [[2097151, 524287, 16777215, 33554431, 134217727, 268435455]], [[0]], [[7, 7, 7, 7, 7, 7, 7, 7]], [[9999999, 987654321, 123456789, 777777, 111111111, 444555666, 12312312, 8888, 99999]], [[10, 11, 12, 13, 14, 15, 16, 17, 18, 19]], [[1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033]], [[111111, 1111111, 11111111, 111111111, 1111111111, 111111, 1111, 111, 11111]], [[9, 15, 56, 67, 89, 143, 568, 789, 987, 216]], [[9999999, 123456789, 987654321, 123456789, 777777, 111111111, 444555666, 12312312, 8888, 99999, 9999999]], [[2097151, 524287, 16777215, 33554431, 268435455]], [[111111, 1111111, 11111111, 111111111, 1111111111, 1111111, 111111, 1111, 111, 11111]], [[9999999, 123456789, 987654321, 123456789, 777777, 111111111, 444555666, 1032, 8888, 99999, 9999999]], [[9999999, 123456789, 987654322, 123456789, 777777, 111111111, 444555666, 12312312, 8888, 99999, 9999999]], [[10, 11, 12, 13, 14, 15, 16, 17, 17, 19]], [[524287, 16777215, 33554431, 134217727, 268435455]], [[2097151, 524287, 16777215, 33554431]], [[2097151, 524287, 16777215, 33554431, 134217727, 134217727]], [[9999999, 123456789, 987654322, 123456789, 777778, 111111111, 444555666, 17, 12312312, 8888, 99999, 9999999]], [[9999999, 987654321, 123456789, 777777, 111111111, 444555666, 12312312, 8888, 9999999, 99999]], [[1]], [[2097151, 2097151, 524287, 16777215, 33554431, 268435455]], [[9999999, 123456789, 987654322, 123456789, 777778, 111111111,"}},"ffb9398e0082d043573b5ed4516e081d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 5, 2, 3, 4]], [[-2, -3, -4, -5, -6]], [[1, 0, 2, 3, 4]]]\n    results = [[1, 2, 4, 3, 5], [-4, -2, -6, -5, -3], [0, 1, 2, 4, 3]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sort_array)\n\n\n\nprint('___SENTINEL___')\n","a234fc5c5a2979dc64f329dacc86883d"]
[{"$cut":{"chars":42607,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Mary had a little lamb', 4], ['Mary had a little lamb', 3], ['simple white space', 2], ['Hello world', 4], ['Uncle sam', 3], ['', 4], ['a b c d e f', 1], ['apple banana cherry', 3], ['random words are fun to write', 5], ['the quick brown fox jumps over the lazy dog', 6], ['the cat in the hat', 2], ['jingle bells jingle bells jingle all the way', 8], ['Python is a popular programming language', 3], ['', 1], ['this is a test string with multiple words containing different numbers of consonants', 7], ['quack quack goes the duck', 2], ['ThE qUiCk BrOwN fOx JuMpS oVeR tHe LaZy DoG', 6], ['apple banana cherry', 6], ['random words are fun to write', 2], ['Python isp a popular programming language', 3], ['apple banana chernry', 3], ['random words are fun to write', 8], ['apple banana cherry', 2], ['', 2], ['apple banana cherry', 1], ['apple banana chethe cat in the hatrry', 6], ['the quick brown fox jumps over the lazy dog', 1], ['quack quack goes the duck', 1], ['the quick browan fox jumps over the lazy dog', 0], ['Python isp a popular programming languagePython is a popular progrmming language', 2], ['appna cherry', 2], ['the quick brown fox jumps og', 1], ['this is a test string with multiple words containing different numbers of consonants', 6], ['Python isp a popular programmia popular progrmming language', 2], ['jingle bells jingle bells jingle all the way', 2], ['apple banappna cherryana cherry', 2], ['apple banappna cherryana cherry', 1], ['apple banaapple banana chethe cat in the hatrryppna cherryana cherry', 8], ['Python isp a popular programmia popular progrmming language', 1], ['ThE qUiCk BrOwN fOx JuMpS oVeR tHe LaZy DoG', 5], ['Python isp a popular programming language', 0], ['Python isp a popular programmia popular progrmming language', 3], ['Python isp a popular mprogramming language', 7], ['apple banana cherapple banaapple banana chethe cat ine hatrryppna cherryana cherryry', 2], ['apple banana chernry', 1], ['apple banappna cherryana cherr', 1], ['the quick brown fox jumps over the lazy dog', 0], ['apple banana chethe cat in the hatrry', 3], ['this is a test sThE qUiCk BrOwN fOx JuMpS oVeR tHe LaZy DoGds containing different numbers of consonants', 7], ['Pythion isp a popular programmia popular progrmming language', 2], ['apple banana cherapple banaapple banana chethe cat ine hatrrypypna cherryana cherryry', 2], ['Python isp a popular program ming language', 3], ['apple banana cherapple banaapple banana chethe cat ine hatrrypypna cherryana chcerryry', 2], ['the quick browan fox jumps over the lazy dog', 2], ['Python isp a popular program ming language', 1], ['apple banaapple banana chethe cat in the hatrryppna cherryana cherry', 1], ['the quick brown fox jumps over the lazy dog', 8], ['eapple banana chernry', 8], ['apple banana cherry', 5], ['random words are fun to write', 9], ['Pythion isp a popular programmia popular progrmming language', 1], ['ThE qUiCk BrOwN fOx JuMpS oVPython isp a popular program ming languageeR tHe LaZy DoG', 5], ['this is a test s tring with multiple words containing different numbers of consonants', 5], ['Python isp a popular program ming language', 5], ['this is a test s tring with multiple words containing different numbers of consonants', 6], ['apple banana chernry', 6], ['apple banana cheraptple banaapple banana chethe cat ine hatrrypypna cherryana chcerryry', 2], ['apple banana cherPython isp a popular mprogramming languageapple banaapple banana "}},"dbb125b39cd293ff0a5d3ec05b07549f"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Mary had a little lamb', 4], ['Mary had a little lamb', 3], ['simple white space', 2], ['Hello world', 4], ['Uncle sam', 3]]\n    results = [['little'], ['Mary', 'lamb'], [], ['world'], ['Uncle']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(select_words)\n\n\n\nprint('___SENTINEL___')\n","1ca4fb574f0c25b887b727554efc4425"]
[{"$cut":{"chars":161025,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['yogurt'], ['full'], ['easy'], ['eAsy'], ['ali'], ['bad'], ['most'], ['ab'], ['ba'], ['quick'], ['anime'], ['Asia'], ['Above'], ['hello'], ['cup'], ['kill'], ['bike'], ['album'], ['mute'], ['nylon'], ['jelly'], ['hi'], ['try'], ['himute'], ['jejellylly'], ['hill'], ['hilljejellylly'], [''], ['alb'], ['hilljhejellylly'], ['ttrty'], ['helo'], ['lalb'], ['aabuum'], ['ehehilo'], ['tttrjejellyllyt'], ['kilbike'], ['bkike'], ['ccup'], ['ehehi'], ['kiill'], ['trjejellyllyt'], ['himuhilljejellyllyte'], ['hhimute'], ['ehehilohi'], ['knylonill'], ['bik'], ['hhhimutehimute'], ['hhimutehilljhejellyllbiky'], ['hhhimutehimuute'], ['halbilljhejellylly'], ['knyloknill'], ['knyonnill'], ['al'], ['hhimue'], ['ty'], ['knylonbikill'], ['ehello'], ['knyloknnill'], ['ehehhhimutehimutehilohi'], ['hillhhhimutehimuute'], ['ttrtybike'], ['hhhimutehimuuehehilote'], ['kilil'], ['hii'], ['hiylljejellly'], ['hialllhi'], ['knylonbik'], ['ehhimutehilljhejellyllbiky'], ['kiliiil'], ['ljelly'], ['halbilljhejellyy'], ['thilljejellylly'], ['knyloll'], ['nyhialllhilon'], ['kiliil'], ['hillll'], ['muthiie'], ['heolo'], ['lnyhialllhilon'], ['hialllihhi'], ['knkilbikieylonbikehehi'], ['eheho'], ['hiill'], ['lal'], ['mte'], ['hhiue'], ['hialllhhimutehi'], ['hiilhalbilljhejellyllyl'], ['h'], ['hlialllihhehehoi'], ['khhimueilbhiilhalbilljhejellyllylike'], ['ehehjellyo'], ['lehhello'], ['ljellly'], ['jlemuthiielly'], ['kiihlialllihhehehoill'], ['lly'], ['jelely'], ['jejhhimute'], ['hikillll'], ['trthialllihhiy'], ['knyonnillhhimue'], ['ehehhhimutehimutehilkilbikeohi'], ['jlemutly'], ['knylonbikilll'], ['hlikilhialllhhimutehilll'], ['lalbkike'], ['hhimutehilljhejellyllbikytmute'], ['hhimutbkikee'], ['hillhhhimhimuute'], ['ehlo'], ['hhhimutehimuuehehilalbkikelote'], ['tttuxiozmcnrvxaxeeeeekzpwiktlvbjjvydknsnhpbcttrrrzkurifpqjyypugyhiiiiiiiiiiiiiinprlxfaaaaaaaaaaaztqdwllntofsacsitzzlcnvtvlztxxmgwondjofzhhvyscurovmxebakretepxhapqjriulawnpeyxvlnufkwcyjxkiyhfwmbvdzmssxxpwoaynylrlzhkemjxbopglbghojxxwnovsmrqajx'], ['zzzqaiozzz'], ['abcdeffeedcba'], ['zbcdafghijklmnoprstuvwxeyzzouzzza'], ['tttxuxzzzrttt'], ['kooxnne'], ['bbkrtfdoiyyiuy'], ['UVWXYZuvwxya'], ['xyzabcDEFghi'], ['QWERTYqwerty'], ['zbcdafghijklmnoprszouzzza'], ['tttxuxzzzrtt'], ['qwerty'], ['zbcdafghijklmnoprstuvwxUVWXYZuvwxyaeyzzouzzza'], ['zbcdabbkrtfdoiyyiuyfghijklmnoprszouzzza'], ['tttxuxzzzrttQWERTYqwerty'], ['bbkrtiyyiuy'], ['bbkyrtfdoiyyiuy'], ['bbkrtiyyiuykooxnne'], ['kooxnzbcdabbkrtfdoiyyiuyfghijklmnoprszouzzzane'], ['zbcdafghijklmnoprszuouzzza'], ['zbcdafghijklmnoprstuvwxUVWXYZuvwxyaeyzzouzzzaqwerty'], ['qwertty'], ['qwertyxyzabcDEFghi'], ['xyzabcDEDFghi'], ['abdcdeffeedcba'], ['zzzqaiozzzbcdafghijklmnoprszuouzzzaz'], ['abcdzzzqaiozzzbcdafghijklmnoprszuouzzzazeffeedcba'], ['zbcdafghijklmnoprstuvwvwxyaeyzzouzzzaqwerty'], ['zbcdafghijklmnoprstuvwwxyaeyzzouzzzaqwerty'], ['tttuxiozmcnrvxaxeeeeekzpwiktlvbjjvydknsnhpbcttrrrzkurifpqjyypugyhiiiiiiiiiiiiiinprlxfaaaaaaaaaaaztqdwllntofsacsitzzlcnvtvlztxxmgwabcdzzzqaiozzzbcdafghijklmnoprszuouzzzazeffeedcbaondjofzhhvyscurovmxebakretepxhapqjriulawnpeyxvlnufkwcyjxkiyhfwmbvdzmssxxpwoaynylrlzhkemjxbopglbghojxxwnovsmrqajx'], ['zbcdabbkrtfdoiyyizbcdafghijklmnoprstuvwxUVWXYZuvwxyaeyzzouzzzaqwertyuyfghijklmnoprszouzzza'], ['xytttuxiozmcnrvxaxeeeeekzpwiktlvbjjvydknsnhpbcttrrrzkurifpqjyypugyhiiiiiiiiiiiiiinprlxfaaaaaaaaaaaztqdwllntofsacsitzzlcnvtvlztxxmgwabcdzzzqaiozzzbcdafghijklmnoprszuouzzzazeffeedcbaondjofzhhvyscurovmxebakretepxhapqjriula"}},"12c52f12f6772e94adc90b77c3feaa2a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['yogurt'], ['FULL'], ['quick'], ['ab']]\n    results = ['u', 'U', '', '']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(get_closest_vowel)\n\n\n\nprint('___SENTINEL___')\n","43b2ce9e1d16862ff98b83eb0f47f056"]
[{"$cut":{"chars":27876,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[['()(', ')']], [[')', ')']], [['(()(())', '())())']], [[')())', '(()()(']], [['(())))', '(()())((']], [['()', '())']], [['(()(', '()))()']], [['((((', '((())']], [[')(()', '(()(']], [[')(', ')(']], [['(', ')']], [[')', '(']], [['(', '(']], [['))', '))']], [['(', '()())(']], [['()()', '()()()']], [['(())', ')()(']], [['()()', '))']], [['((', '))']], [['(((', ')))']], [['()', ')()(']], [['())(', '()']], [['(', '((']], [['()()()()', '))']], [['()()()(', '))']], [['()()()(()())', '))']], [['', '(']], [['()()(()()()()()', '))']], [['()()()(', ')()()()(()()))']], [[')()()()(', ')()()()(()()))']], [[')()(', ')()(']], [[')()(', ')())()()()(']], [[')()()()(()()))', '(']], [['()(()()()(()()))()(()())', '))']], [['((', '(']], [['()(()()()(()()))()(()())', '()(()(()()(()()))()(()())']], [['())(', '((']], [['()()', '()()()()()()()']], [['())))(', '((']], [['', '((']], [['(((', '(']], [['()(()()()()))()(()())', '))']], [['())(', '())']], [['()()', '()()']], [['((', '((']], [[')()(', ')()))()()()(']], [['(())(', '()']], [['()()()(', '))())']], [['))())', '((']], [['', '']], [['(', '()(']], [['()())((((', ')))']], [['((', ')()(']], [['()(()()()(()()))()(()())', '()(()(()()(()()())(()())']], [['((', '()())(']], [['(())(((', '))']], [['(((', ')']], [['()()()()()()()', '']], [['()()((', ')()(']], [['((', ')()))()()()(']], [['((', '']], [['(())', ')))()))(']], [['()()(())())', '))())']], [['()()()()()()()()()()()', '()()()()()()()']], [['())))(', ')()()()(()()))']], [[')()()()(()()))', '((']], [['()())(())(', '((']], [['()()()(()())', ')()()()())']], [['((', '()()()()(()()))(']], [['())(', '())(']], [['((((', '(']], [['(())', '()())()))()()((']], [['()())((((', '))))']], [['', '()()(()()()()()']], [['()()()((', '))())']], [['()())(())(', ')()()()(()()))']], [[')()()()(()()))', '())))(']], [['', '()']], [[')()))()))))()()(', ')()))()()()(']], [[')()(', ')()()()(()()))']], [['()(()()()()))()(()())', ')()()()())']], [['())(', ')()']], [['((', '()()(']], [[')()))()))))()()(', ')()))()(()((())(']], [['(())(', '()())(())((()']], [['(()(', '()']], [['(())(((', '()()()()()()()()()()()']], [['()()()()()()()', '))))']], [['()()()((', '))(']], [['', '())']], [[')())()()()(', '()']], [['()', '()']], [['((', '()()()()()()()()()(']], [['((((', ')()))()))))()()(']], [['(())(', '()()()()()()()()())(())((()']], [['((', '()())()))()()((']], [['()())(()))(', ')()()()(()()))']], [['()(((', '()()((']], [[')()(', ')()))()()(()(']], [[')()))()()(()((((', '(']], [['())()()()()(', '()']], [['()()()(', ')()))()()(()((((']], [['()()()))))((', '))(']], [['()(()()()()))()(()())', '((']], [['()()((', '()()(']], [['(())', '(((']], [['(()(()()(()()())', ')))()))(']], [['()(()()()(()()))()(()())', '((((']], [['(((', '()()(']], [['()()()()(()()))(', '(()))(((']], [['())))(', '(']], [['(', '()(()))()']], [['(((((((', '((((())))))))']], [['()(((', '))))']], [[')(()()', '((((((())))']], [['())()()(', ')))))(']], [['(((())))', '()']], [[')()()(', '(()))']], [[')))))', '(((((']], [['((', ')))))(((']], [['(()(', '))))']], [['())()()(', ')))(()()))(']], [['(((())))', '(((())))']], [['())()()(', ')))))(((']], [[')()())(', '(()))']], [['(((())))', '(()))']], [['())()())))))(', ')))(()()))(']], [['((((())))))))', '))))']], [['()(((', ')))))']], [['((((())))))))', '((((()))))((((()))))))))))']], [['(', ')))))(((']], [['((()(', '))))']], [['((((())))))))', '((((()))))(())']], [['(', ')))))']], [['((((())))))))', '((((()))))((((())))))))))))))((())']], ["}},"259cb29109c9bd26b7ead89008ee5e04"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[['()(', ')']], [[')', ')']]]\n    results = ['Yes', 'No']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(match_parens)\n\n\n\nprint('___SENTINEL___')\n","61f09ec3b23f48a89409e08cbc7f1e0a"]
[{"$cut":{"chars":58232,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[-3, -4, 5], 3], [[4, -4, 4], 2], [[-3, 2, 1, 2, -1, -2, 1], 1], [[123, -123, 20, 0, 1, 2, -3], 3], [[-123, 20, 0, 1, 2, -3], 4], [[5, 15, 0, 3, -13, -8, 0], 7], [[-1, 0, 2, 5, 3, -10], 2], [[1, 0, 5, -7], 1], [[4, -4], 2], [[-10, 10], 2], [[1, 2, 3, -23, 243, -400, 0], 0], [[1, 2, 3, 4, 5], 3], [[-1, -2, -3, -4, -5], 2], [[2, 2, 2, 2, 2], 3], [[0, 0, 0, 0, 0, 0], 4], [[1, 2, 3], 1], [[1], 0], [[0], 1], [[-2, 5, 10, 3, 8], 4], [[-1000, 0, 1000], 3], [[5, 2, 1], 1], [[-2, 5, 4, 10, 3, 8], 4], [[2, 2, 2, 2, 2, 2], 3], [[1, 4, 4], 1], [[1, 1], 0], [[2, 2, 2, 2, 2], 2], [[1, 2, -3, 2], 1], [[2, 2, 2, 2, 2, 2], 2], [[1, 1, 1], 0], [[2, 2, 2, 2, 2, 2], 1], [[1, 1, 1], 1], [[1, 2, 3], 2], [[-1, -3, -2, -3, -4, 10, -5], 2], [[2, 2, 2, 2, 2], 1], [[2, 3, 2, 2, 2], 1], [[1, 2, 3, 3], 1], [[2, 2, 2, 2, 2], 0], [[-1, -2, -3, -3, 10, -5], 3], [[2, 2, 8, 2, 2, 2], 2], [[0, 0, 0, 0, 0, 0, 0], 5], [[0, 0, 0, 0, 0], 4], [[1, 4, 4, 4], 1], [[-3, 1], 0], [[-3], 0], [[0, -3, 1, -3], 0], [[2, 3, 2, 2, 2], 2], [[-1, -2, -3, -4, -5, -4], 2], [[2, 3], 2], [[0, 0, 0, 0], 4], [[-3, 1], 1], [[0, 1, 4, 4], 2], [[1, 4, 4, 1], 1], [[1, 2, 2, 3, 4, 5], 3], [[0], 0], [[-4, -3, 1], 1], [[-2, 5, 4, 10, 3, 8, 3], 3], [[1], 1], [[-1, 5, 4, 4, 4], 1], [[5, 2, 1], 2], [[0, 1000, 0, 0], 4], [[2, 3, 2, 3, 2], 2], [[2, 2, 2, 2, 2, 2, 2], 5], [[1, 10, 4, 4], 1], [[2, 3, 2, 3, 2, 2], 2], [[0, 0], 0], [[0, -3, 1, -3, -3], 0], [[-2, -3, -3, 10, -5], 4], [[1, 2, -3], 1], [[1, 2, 3, 3], 0], [[-1, -2, -3, 10, -5], 3], [[0, 0, 0, 0, 0, 0, 0], 4], [[-1, -2, -3, 10, -5], 2], [[2, 2, 2, -999, 2], 0], [[1, 1], 1], [[-1000, 0, 1000], 1], [[1, 2, -3, 2, 2], 2], [[2, 0, 0, 0, 0, 0], 0], [[1, 10, 4], 1], [[2, 2, 2, 2, 2, 2, 2], 4], [[-1, -2, -3, -3, 10, 10, -5], 3], [[-3, -3], 0], [[-1, 11, -2, -3, 10, -5], 3], [[-2, -3, -4, -5], 2], [[0, 0], 1], [[1, 4], 1], [[1, 2, 2, 3, 4, 5], 4], [[-2, 5, 4, 10, 3, 8, 3, 8], 3], [[2, 2, 2, 2], 0], [[-2, 5, 4, 10, 3, 8, 3, 8, 8], 3], [[-1, -2, -3, -3, 10, 10, -5], 5], [[1, 0, 1000, 0, 0], 4], [[-1, -2, -3, 8, -5], 2], [[1, 1, 3], 1], [[-2, 5, 4, 10, 3, 8], 3], [[1, 4, 4, 4], 2], [[5, 2, 0], 2], [[2, 3, 2, 2, 2, 2], 1], [[1, 2, -3, -2], 1], [[1, 4, 4, 1], 0], [[3, 4, 5], 3], [[2, 2, 2, 2], 2], [[2, 2, 2, 2], 1], [[1, 2, 2, 3, 5, 2], 3], [[-1000, -4, 1000], 1], [[1, 1], 2], [[-3, 1, -3], 0], [[-2, -3, -3, 10, -5, -5], 4], [[-3, 1, -3, 1], 0], [[0, 0, 0, 0, 0, 1], 5], [[1, 4], 0], [[0, 0, 0, 0, 0, 0, 0, 0], 5], [[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, -5, -5, -5, -5, -5], 10], [[100, -100, 100, -100, 100, -100, 100, -100, 100, -100], 5], [[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, -5, -5, -5, -5, -5], 4], [[10, -20, 30, -40, 50, -60], 3], [[4, 2, 5, 6, 7, 4, 8, 4], 3], [[1, 2, 3, -23, 243, -400, -400, 0], 2], [[1000, -1000], 2], [[0, 0, 0, 1, -1, 1000, -1000, 1000, -1000], 7], [[1, 2, 3, -23, 243, -400, -400, 0, 243, -400], 2], [[1, 2, 3, -23, 243, -399, -400, -400, 0], 2], [[10, -20, 30, -40, 50, -60], 4], [[1, 2, 3, -23, 243, -400, -400, 0, -400], 1], [[10, -20, 30, -40, 50, -60, -60], 4], [[5, 5, 5, 4, 5, 5, 5, 5, 5, 5, -5, -5, -5, -5, -5], 4], [[1, 2, 3, -23, 243, -400, -400, 4, 0, 243, -400], 2], [[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, -5, -5, -5, -5, -5], 11], [[1000, -1000, -1000], 2], [[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, -5, -5, -5, -5, -5], 3], [[3, 0, 0, 1, -1, 1000, -1000, 1000, -1000], 7], [[1, 2, 3, -23, 243, -400, -400, 0, 1], 2], [[2, 5, 6, 7, 4, 8, 4], 3], [[10, -20, 30, -40, 50, -60], 2], [[999, -1000], 2], [[5, 5, 5, 5, 5, 5, "}},"cd267940c709662c9ae954baa61eab9e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[-3, -4, 5], 3], [[4, -4, 4], 2], [[-3, 2, 1, 2, -1, -2, 1], 1]]\n    results = [[-4, -3, 5], [4, 4], [2]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(maximum)\n\n\n\nprint('___SENTINEL___')\n","49dd758109835ecad0e155ba1e47dd55"]
[{"$cut":{"chars":43667,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[5, 8, 7, 1]], [[3, 3, 3, 3, 3]], [[30, 13, 24, 321]], [[5, 9]], [[2, 4, 8]], [[30, 13, 23, 32]], [[3, 13, 2, 9]], [[1, 2, 3, 4, 5, 6]], [[0, 1, 2, 3, 4, 5, 6, 7]], [[2, 5, 10, 11, 18]], [[1, 3, 5, 7]], [[2, 3, 5, 8, 13]], [[2, 4, 6, 8, 10]], [[1, 1, 1, 1, 1, 1]], [[7]], [[2, 1, 2, 1, 2, 1]], [[0, 0, 0, 0, 1]], [[2, 5, 10, 11, 11]], [[2, 4, 0, 6, 8, 1]], [[2, 10, 11, 18]], [[2, 1, 2, 1, 2, 2, 1]], [[2, 7, 1, 2, 1, 2, 1]], [[1, 2, 3, 4, 5]], [[2, 5, 10, 11, 2, 11, 11]], [[1, 1, 1, 3, 4, 5, 5, 7]], [[4, 10, 11, 18]], [[1, 2, 3, 13, 5, 6]], [[2, 1, 2, 1, 2, 2, 1, 2]], [[2, 3, 4, 5]], [[13, 5, 10, 11, 2, 11, 11]], [[2, 5, 11, 2, 11, 11]], [[2, 1, 2, 6, 2, 1]], [[0, 1, 3, 5, 7, 5]], [[2, 7, 1, 2, 3, 1, 2, 1, 2]], [[1, 3, 2, 7]], [[2, 7, 1, 2, 3, 1, 2, 1, 2, 2]], [[2, 1, 2, 2, 1, 2]], [[2, 4, 8, 10]], [[0, 1, 2, 3, 5, 6, 7, 2]], [[1, 2, 1, 2, 1, 2, 2, 1, 2]], [[2, 5, 10, 11, 2, 11]], [[2, 3, 5, 13, 5]], [[6, 10, 11, 18]], [[0, 0, 10, 0, 1]], [[2, 7, 4, 8, 10]], [[7, 2, 10, 11, 10, 18]], [[2, 3, 5, 8, 12]], [[1, 1, 1, 1]], [[2, 7, 1, 2, 3, 1, 11, 13, 2, 1, 2, 2]], [[2, 3, 5, 13, 13]], [[2, 1, 2, 1, 2, 1, 1]], [[0, 1, 2, 3, 4, 5, 6, 7, 6]], [[4, 10, 11, 18, 18]], [[12, 13]], [[2, 5, 10, 11, 11, 2, 11]], [[2, 3, 5, 8, 13, 13]], [[2, 5, 6, 11, 2, 11, 11, 2]], [[2, 1, 3, 1, 2]], [[7, 1, 2, 3, 1, 2, 1, 2]], [[2, 5, 10, 11, 11, 2, 11, 2]], [[0, 3, 5, 7, 5, 7]], [[2, 1, 2, 6, 2, 1, 1, 1]], [[1, 2, 4, 5, 6]], [[1, 3, 13, 14, 5, 6]], [[10, 2, 3, 13, 5, 6, 2]], [[10, 2, 14, 3, 13, 5, 6]], [[0, 5, 2, 7, 5, 7, 2]], [[2, 5, 10, 11, 11, 2, 11, 2, 11]], [[3, 2, 7]], [[2, 5, 10, 11, 2, 11, 11, 2]], [[0, 1, 0, 0, 0, 1]], [[1, 3, 3, 13, 14, 5, 18]], [[0, 1, 3, 7, 5]], [[2, 4, 5, 13, 5, 5]], [[1, 1, 1, 10, 3, 4, 5, 5, 7]], [[4, 10, 11, 18, 10]], [[0, 3, 5, 7, 5]], [[2, 8, 10, 10]], [[0, 1, 2, 3, 11, 4, 5, 6, 7]], [[2, 2, 5, 10, 11, 11]], [[1, 1, 1, 10, 3, 4, 5, 5, 7, 4]], [[2, 4, 7, 8, 10]], [[2, 1, 2, 0, 1, 2, 12, 1]], [[1, 2, 1, 2, 2, 1, 2]], [[1, 2, 10, 2, 2]], [[2, 7, 4, 8, 10, 10]], [[5, 3, 4, 5]], [[0, 1, 3, 2, 7]], [[5, 3, 5, 4, 5]], [[2, 6, 1, 2, 6, 2, 1, 1, 1, 1]], [[1, 2, 3, 4, 5, 6, 7, 6]], [[6, 12, 13]], [[1, 4, 7, 8, 10]], [[2, 5, 10, 11, 11, 11]], [[5, 11, 10, 11, 2, 11]], [[2, 5, 10, 12, 11, 11, 11, 11]], [[0, 10, 0, 1, 0]], [[13, 5, 10, 11, 2, 11, 11, 10]], [[1, 2, 3, 4, 5, 6, 5]], [[0, 10, 0, 1, 0, 1]], [[1, 3, 2, 1, 2, 2, 1, 2]], [[1, 2, 4, 5, 6, 1, 6]], [[2, 5, 10, 11, 2, 11, 11, 10, 5, 5]], [[2, 1, 3, 2]], [[2, 5, 10, 11, 11, 2]], [[0, 0, 0, 13]], [[2, 3, 4, 5, 6, 7, 8, 9, 10]], [[1, 4, 1, 4, 1, 4, 1, 4]], [[2, 2, 2, 1, 1, 1, 5, 5, 5]], [[0, 0, 0, 0, 0, 0, 0, 0]], [[11, 22, 33, 44, 55, 66, 77, 88, 99]], [[1, 1, 1, 1, 1, 1, 1, 1, 1]], [[0, 1, 2, 3, 4, 5, 6, 7, 8]], [[2, 3, 4, 5, 6, 9, 8, 11, 10]], [[31, 42, 53, 64, 75, 86, 97, 108, 119]], [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[65, 11, 22, 33, 44, 55, 66, 77, 88, 99]], [[0, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[2, 5, 2, 2, 1, 1, 1, 5, 5, 5, 1]], [[65, 22, 33, 44, 55, 66, 77, 88]], [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], [[2, 2, 1, 1, 1, 5, 5, 5]], [[2, 3, 4, 6, 9, 8, 11, 10]], [[2, 2, 1, 1, 1, 5, 5, 5, 5]], [[0, 1, 2, 3, 4, 5, 6, 7, 9, 2]], [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 2]], [[2, 3, 4, 5, 6, 7, 8, 9, 31, 10]], [[11, 22, 33, 44, 55, 66, 88, 99]], [[2, 1, 1, 1, 5, 5, 5]], [[2, 2, 2, 1, 1, 1, 5, 5]], [[2, 3, 4, 9, 8, 11, 10]], [[2, 3, 4, 4, 6, 9, 8, 11, 10]], [[2, 3, 4, 5, 6, 8, 9, 31, 10]], [[65, 22, 44, 55, 66, 77]], [[1, 4, 1, 1, 4, 1, 4]], [[65, 11, 22, "}},"aaf2fd2a17562767c9c98c346aad1a55"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[5, 8, 7, 1]], [[3, 3, 3, 3, 3]], [[30, 13, 24, 321]]]\n    results = [12, 9, 0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(solution)\n\n\n\nprint('___SENTINEL___')\n","ee2b4ceeb928c26bd3260fa9497c755a"]
[{"$cut":{"chars":75727,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, -2, -3, 41, 57, 76, 87, 88, 99], 3], [[111, 121, 3, 4000, 5, 6], 2], [[11, 21, 3, 90, 5, 6, 7, 8, 9], 4], [[111, 21, 3, 4000, 5, 6, 7, 8, 9], 4], [[1], 1], [[98, 87, 76, 65, 54, 43, 32, 21, 10], 5], [[-4, 5, 67, 34, 56, 12, 89, 23, 45], 7], [[100, 200, 300, 400, 500, 600], 3], [[10, 20, 30, 40, 50, 60], 1], [[-1, -2, -3, -4, -5, -6, -7, -8, -9], 4], [[9, 10, 11, 100, 200, 300], 5], [[90, 80, 70, 60, 50, 40, 30], 3], [[1, 11, 22, 99, 100, 999], 6], [[5, 10, 15, 20, 25, 30, 35, 40, 45, 50], 10], [[101, 202, 303], 2], [[98, 87, 65, 54, 43, 32, 21, 10, 87], 5], [[100, 199, 300, 400, 500, 600], 3], [[200, 300, 400, 500, 600], 3], [[-1, -2, -3, -4, -5, -6, -7, -8, -9], 3], [[100, 199, 300, 400, 500, 600], 2], [[98, 87, 76, 20, 65, 54, 43, 32, 21, 10], 5], [[98, 87, 76, 20, 65, 54, 43, 32, 21, 10, 87], 5], [[100, 199, 400, 500, 600], 2], [[-4, 5, 67, 34, 56, 12, 23, 87], 7], [[-1, -2, -3, -4, -5, -6, -7, -8, -10], 3], [[90, 80, 70, 60, 50, 40, 30, 90], 3], [[-1, -2, -3, -4, -5, -6, -7, 99, -10], 3], [[100, 199, 300, 400, 500, 600, 600], 3], [[-4, 5, 67, 34, 56, 12, 23, 87, 67, 34], 7], [[101, 303], 2], [[5, 10, 15, 20, -2, 25, 30, 35, 40, 45, 50], 10], [[9, 10, 11, 101, 200, 300], 6], [[5, 10, 15, 20, -2, 25, 30, 35, 40, 45, 50, -2], 10], [[-4, 5, 67, 34, 56, 12, 23, 87, 67], 7], [[100, 199, 300, 400, 500, 600], 1], [[100, 199, 400, 9, 500, 600], 2], [[100, 199, 299, 400, 500, 600], 3], [[5, 21, 10, 15, 20, -2, 25, 30, 35, 40, 45, 50], 10], [[5, 21, 10, 15, 20, -2, 25, 30, 35, 40, 45, 50, 5], 10], [[100, 199, 300, 400, 500, 600, 300], 2], [[-1, -2, -3, -4, -5, -6, -7, 99, -10], 2], [[100, 199, 300, 399, 500, 600, 50, 300], 1], [[9, 10, 11, 100, 200, 300], 4], [[101, 23], 2], [[-7, -1, -2, -3, -4, -5, -6, -7, 99, -10], 2], [[-1, -2, -3, -4, -5, -6, -7, -8], 5], [[-1, -2, -3, -4, -5, -6, -7, 99, -10], 4], [[-4, 5, 67, 34, 56, 12, 89, 23, 11, 45], 7], [[100, 199, 300, 400, 500, 600, 300], 7], [[90, 80, 60, 50, 40, 51, 30], 3], [[-1, -2, -3, -4, -5, -6, 35, -8], 5], [[304, 101, 303], 2], [[98, 87, 65, 54, 43, 32, 21, 10, 87, 21], 6], [[9, 10, 100, 200, 10, 300, 10], 5], [[5, 21, 10, 15, 20, -2, 25, 30, 35, 40, 45, 50, 5, 10], 11], [[23, 101, 23], 2], [[90, 80, 70, 60, 50, 40, 30], 2], [[-1, -2, -3, 12, -5, -6, 35, -8], 5], [[-4, 5, 67, 34, 56, 12, 89, 23, 11, 45], 8], [[-4, 5, 67, 34, 56, 12, 23, 87], 6], [[101, 23], 1], [[202, 101, 202, 303], 2], [[-4, 5, 67, 34, 56, 12, 23, 87, 67, -4], 7], [[-1, -2, -3, -4, -5, -6, -7, -8, -9, -8], 3], [[5, 21, 10, 20, -2, 25, 30, 35, 40, 45, 50], 9], [[-5, 5, 67, 34, 56, 12, 23, 87, 67, 34], 7], [[5, 21, 10, 15, 20, -2, 25, 30, 35, 40, 45, 50], 12], [[90, 80, 70, 60, 50, 40, 30, 90, 70], 3], [[100, 300, 400, 500, 600, 600], 1], [[5, 10, 15, 20, 24, 30, 35, 40, 45, 50], 10], [[100, 199, 400, 9, 600], 2], [[98, 87, 76, 20, -6, 65, 54, 43, 32, 21, 10, 87], 5], [[90, 23, 70, 60, 50, 40, 30], 3], [[100, 35, 199, 400, 500, 600, 300], 2], [[5, 21, 10, 15, 20, -2, 25, 30, 35, 40, 45, 49], 11], [[5, 10, 15, 20, -2, 25, 30, 35, 40, 16, 45, 50], 11], [[100, 199, 300, 400, 500, 600, 600, 199], 2], [[-1, -2, -3, -4, -6, -7, -8, -9], 4], [[-1, -2, -3, -4, -6, 16, -8, -9], 4], [[60, 101, 303], 2], [[-1, -2, -3, -4, -5, -6, -7, 99, -10], 5], [[98, 87, 76, 20, -6, 65, 43, 32, 21, 10, 87], 5], [[100, 199, 300, 400, 500, 600, 300], 1], [[98, 87, 76, 20, -6, 54, 43, 32, 21, 10, 87], 5], [[100, 35, 199, 400, 500, 600, 300, 199], 5], [[5, 21, 10, 20, -2, 25, 30, 35, 40, 45, 50], "}},"2c0daca7d861d0d6f5d4fa4a4feb1d63"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[111, 21, 3, 4000, 5, 6, 7, 8, 9], 4]]\n    results = [24]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(add_elements)\n\n\n\nprint('___SENTINEL___')\n","6309bdcbd74f2802b20743dee44e7ab4"]
[{"$cut":{"chars":77701,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[14], [5], [12], [1], [2], [3], [7], [10], [15], [20], [25], [30], [100], [13], [6], [101], [99], [29], [19], [27], [26], [8], [28], [11], [102], [18], [16], [98], [17], [4], [21], [9], [62], [22], [103], [97], [10000], [27345], [48271], [99999], [1000000], [10000000000000], [982927638], [1073741825], [9857654321], [9999999999999999999999999999999999], [9999999999999999999999999999999998], [27347], [1000001], [1000002], [10001], [27348], [27349], [10000000000000000000000000000000000], [27350], [982927639], [10002], [999999], [982927641], [982927642], [982927640], [48272], [1073741824], [100001], [1073741826], [100000], [1073741822], [9857654322], [9999], [100002], [48270], [27346], [99998], [982927637], [999998], [99997], [982927636], [37], [1073741823], [982927643], [1073741827], [10000000000000000000000000000000001], [82], [999997], [1073741821], [70], [36], [10003], [76], [9999999999999], [10004], [9999999999999999999999999999999997], [2147483647], [9223372036854775807], [9223372036854775808], [9857654320], [10000000000001], [10000000000002], [27344], [10000000000003], [9997], [67], [9857654323], [27343], [9996], [9998], [10000000000004], [9999999999998], [27342], [52], [27340], [68], [9999999999997], [83], [9857654319], [9999999999996], [9999999999995], [9999999999994], [9857654324], [48273], [48274], [27341], [35], [27339], [54], [48276], [53], [9999999999993], [982927644], [34], [982927645], [33], [999996], [9999999999992], [9999999999991], [1073741828], [96], [999995], [55]]\n    results = [[1, 5, 7, 11, 13, 17], [1, 5], [1, 3, 5], [1], [1], [1, 3, 5], [1, 5, 7, 11, 13, 17], [1, 5], [1, 5, 15, 23, 35, 53], [1, 5], [1, 5, 11, 13, 17, 19, 25, 29], [1, 5, 15, 23, 35, 53], [1, 5, 11, 13, 17, 19, 25, 29], [1, 5, 13], [1, 3, 5], [1, 5, 11, 13, 17, 19, 29, 101], [1, 5, 7, 11, 13, 17, 99, 149], [1, 5, 11, 13, 17, 29], [1, 5, 11, 13, 17, 19, 29], [1, 5, 23, 27, 31, 35, 41, 47, 53, 61, 71, 91, 103, 107, 121, 137, 155, 161, 167, 175, 233, 251, 263, 283, 319, 325, 377, 395, 425, 433, 445, 479, 577, 593, 719, 911, 1079, 1367, 1619, 2051, 2429, 3077], [1, 5, 13], [1], [1, 5, 7, 11, 13, 17], [1, 5, 11, 13, 17], [1, 5, 11, 13, 17, 29, 51, 77], [1, 5, 7, 9, 11, 13, 17], [1], [1, 5, 7, 11, 13, 17, 37, 49], [1, 5, 13, 17], [1], [1, 21], [1, 5, 7, 9, 11, 13, 17], [1, 5, 23, 31, 35, 47, 53, 61, 71, 91, 103, 107, 121, 137, 155, 161, 167, 175, 233, 251, 263, 283, 319, 325, 377, 395, 425, 433, 445, 479, 577, 593, 719, 911, 1079, 1367, 1619, 2051, 2429, 3077], [1, 5, 11, 13, 17], [1, 5, 23, 35, 53, 61, 103, 155, 167, 175, 233, 251, 263, 283, 319, 325, 377, 395, 425, 433, 445, 479, 577, 593, 719, 911, 1079, 1367, 1619, 2051, 2429, 3077], [1, 5, 23, 35, 47, 53, 55, 61, 71, 73, 83, 91, 97, 103, 107, 121, 125, 137, 155, 161, 167, 175, 233, 251, 263, 283, 319, 325, 377, 395, 425, 433, 445, 479, 577, 593, 719, 911, 1079, 1367, 1619, 2051, 2429, 3077], [1, 5, 11, 13, 17, 469, 625], [1, 5, 23, 31, 35, 41, 47, 53, 61, 71, 91, 103, 107, 109, 121, 137, 145, 155, 161, 167, 175, 193, 233, 251, 257, 263, 283, 319, 325, 377, 395, 425, 433, 445, 479, 577, 593, 685, 719, 911, 913, 1079, 1217, 1367, 1619, 2051, 2429, 3077, 3245, 7691, 8653, 11537, 20509, 27345], [1, 5, 11, 13, 17, 19, 29, 101, 119, 179, 211, 269, 281, 317, 443, 499, 665, 749, 1181, 1243, 1399, 1657, 1865, 1963, 2099, 2209, 2945, 3149, 3871, 4135, 5513, 5807, 6203, 6979, 8711, 9305, 10469, 13067, 13763, 14701, 17183, 19601, 20645, 24467, 25775, 30547, 36701, 3"}},"d40574d7d0d467a10298774056a41751"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5]]\n    results = [[1, 5]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(get_odd_collatz)\n\n\n\nprint('___SENTINEL___')\n","c07ce82d91c733f88265155b95db1e04"]
[{"$cut":{"chars":62235,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['03-11-2000'], ['15-01-2012'], ['04-0-2040'], ['06-04-2020'], ['01-01-2007'], ['03-32-2011'], [''], ['04-31-3000'], ['06-06-2005'], ['21-31-2000'], ['04-12-2003'], ['04122003'], ['20030412'], ['2003-04'], ['2003-04-12'], ['04-2003'], ['12-31-1999'], ['02-29-2021'], ['04-31-2022'], ['11-31-2023'], ['00-01-2000'], ['13-01-2000'], ['01-00-2000'], ['01-32-2000'], ['02-30-2000'], ['06-04-202'], ['01-000-2000'], ['04-31-022'], ['04-2022'], ['01-00-20000'], ['01-32-20000'], ['13-01-20'], ['11-3104-202223'], ['01-32-01-000-200020000'], ['02-29-204-31-202221'], ['044-2022'], ['11-11-31-20233104-213-01-2002223'], ['02-230-2000'], ['011-3104-2022231-32-01-000-200020000'], ['11-43104-3202223'], ['04-01-00-20001-20'], ['192-31-1999'], ['01-32-01-0006-04-2020-200020000'], ['010-32-2000'], ['002'], ['13-031-20000'], ['02-29-204-31-202-29-202102221'], ['11-311-2023'], ['0202'], ['04-01-01-000-200000-20001-20'], ['192-31--1999'], ['192-31011-3104-2022231-32-01-000-200020000--19919'], ['013-04-01-00-20001-20031-20000202'], ['-04-2022'], ['11-31011-3104-2022231-32-01-000-2000200002223'], ['04-01-32-2000031-2022'], ['-11-431204-3202223'], ['13-031-2001-32-001-32-01-0006-04-2020-2000200001-0006-04-2020-200020000000'], ['000-01-2000'], ['04-31022'], ['11-3120212-31-19993'], ['02-29-204-310-202-29-202102221'], ['04-01-032-2000031-2022'], ['192-1999'], ['11-31011-3104-2022231-32-01-000-2000200002212-31-199923'], ['11-02-230-20003120212-31-19993'], ['11-13-01-202023'], ['02-2330-2000'], ['01-000-202-2330-2000'], ['01-04-2022-32-2000'], ['11-3101-32-200004-202223'], ['01-32-000'], ['11-311-3'], ['02213-01-2000'], ['011-431004-3044-202220192-1999222302'], ['11-02-230-20003120212-31-219993'], ['00-0113-01-20-2000'], ['02-229-2021'], ['04-01-01-0011-11-31-20233104-213-01-20022230-200000-20001-20'], ['013-04-01-00-20001-20031-2000020201-00-2000'], ['02-230-200'], ['011-3104-2022231-32-01-000-202213-01-2000020000'], ['101-00-20000'], ['11-219993'], ['00-0113-01-201-32-200002000'], ['02-230-20000'], ['11-11-31-2000-0113-01-20-20003-01-2002223'], ['11-02-230-220003120212-31-19993'], ['00202'], ['-04-310222'], ['02-29-204-31-11-311-302-29-202102221'], ['04-01-01-0011-11-31-20233104-213-01-20022230-200000-20001-'], ['04-004-31-20221-32-2000031-2022'], ['13-031-2000000-0113-01-201-32-200002000'], ['04-01-01-0011-11-31-20233104-213-0101-00-2000001-'], ['01-32-0000'], ['11-31011-3104-2022231-32-01-000-'], ['04-31-20-22'], ['02-29-2020'], ['13-01-2020'], ['04-31-2020'], ['02-30-2020'], ['2020-06-04'], ['06/04/2020'], ['2020-06--04'], ['2020-06-042020-06--04'], ['2020-04'], ['02-30-06/04/20202020'], ['202020-06-042020-06--04201-00-20000-06--04'], ['04-02-29-202131-2020'], ['01-00-20002020-06--02-30-06/04/2020202004'], ['02-30-06/042/20202020'], ['26020-06-042020-06--04'], ['04-313-01-20201-2020'], ['13-01-21020'], ['02-30-06/042/20202006/04/202020'], ['02-29-202-02-29-20201'], ['02-3004-02-29-202131-2020-06/04/20202020'], ['02020-06-042020-06--041-00-2000'], ['04-02-29-202020-06-042131-2020'], ['2020-0413-01-21020'], ['20020-06-042020-06--04'], ['02-3004-02-29-202131-20202002-30-06/042/20202006/04/20202006/04/20202020'], ['020-30-06/042/2002-29-2021202020'], ['02020-06-042020-06-02-30-06/042/20202020-041-00-2000'], ['26020-02020-0413-01-210204'], ['04-02-29-2-2020'], ['02-3004-02-29-202131-/20202002-30-06/042/20202006/04/20202006/04/20202020'], ['260202-06-042020-06--04'], ['01-00-20002020-0602-29-2020--02-30-06/04/2020202004']"}},"119ef12dc388b78480b782d7f8f26f45"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['03-11-2000'], ['15-01-2012'], ['04-0-2040'], ['06-04-2020'], ['06/04/2020']]\n    results = [True, False, False, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(valid_date)\n\n\n\nprint('___SENTINEL___')\n","f30e3a602aa34b30576532329958f383"]
[{"$cut":{"chars":103383,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Hello world!'], ['Hello,world!'], ['Hello world,!'], ['Hello,Hello,world !'], ['abcdef'], ['aaabb'], ['aaaBb'], [''], ['Hello?'], ['abc deg'], ['aaa,bbb'], ['Hello World!'], ['123,456'], ['abc123'], ['Hello , world !'], ['apple, banana, orange, grapefruit'], ['1234'], ['HELLO WORLD'], ['aabc123'], ['Hellabc123o , world !'], ['HELLOHELLO WORLD WOORLD'], ['g'], ['aaabc123'], ['Hello ,Hello? world !'], ['Hello dWorlld!'], ['Hello WdWorlld!'], ['abc de'], ['aabc123Hello World!'], ['abcd de'], ['2aaabc123'], ['abcHELLOHELLO WOORLD WOORLD de'], ['abcHello World! deg'], ['NDcwhK'], ['abca123'], ['abcHELLOHELLO WRLD de'], ['Helalabc123o , world !'], ['dabcd de'], ['ab cd deg'], ['abcHELLOHELLO WRabcHELLOHELLO WOORLD WOORLD deLD de'], ['NDcwK'], ['Hello ,Hello? rld !'], ['Hello , world Hello , world !!'], ['Helalabc123o , bworld !'], ['HELLOHello , world !HELLO WORLD WOOLRLD'], ['abcabc a123'], ['abcHello , deworabcd dded a123'], ['Hello ,Helaabc123lo? rld  !'], ['ababc123'], ['12344'], ['H!ello WdWorlld!'], ['Heab cd deglled 1234'], ['aaabc123aabc123Hello World!'], ['dabcd aaabc123aabc123Hello World!e'], ['oHelldHelled !'], ['abc g'], ['Hello ,Hello? rlaabc123c d !'], ['abcHELLOHELLO WRLLD dee'], ['abce deg'], ['Hello , worHelled ld !'], ['aaa3bc123'], ['Helalabc123o , bworldNDcwhK!'], ['aabc12abc1233'], ['ab cd degab cd deg'], ['Hello , world HellHello , eworabcd deHello2aaabc123 , world !d o , world !!'], ['ab cdg deg'], ['aObcLHELLOHELLO WRLD de'], ['aObcLHELLOHELLOHELLO WORLD WOORLDHELLO WRLD de'], ['HelloHello ,Helaabc123lo? rld  ! ,Hello? world Hello ,Hello? rlaabc123c d !!'], ['Heab cabcHello World! degd deglled 1234'], ['14'], ['zAMobwxrx'], ['HHelblo ,Helaabc123lo? rl'], ['HELLOD'], ['ab cd cdeg'], ['abcHello Worlld! deg'], ['abcHello , deworabcd dHello , worHelled ld !ded a123'], ['ab cdg deg12344'], ['gg'], ['aaa,bb'], ['Hello , woapple, banana, orange, grapefruitrld Hello , world !!'], ['zAMorx'], ['Hello , world HellHello ,d !d o , world !!'], ['HOHello , world !HELLO WORLD WOOLRLD'], ['NHello , world Hello , world !!DcwhK'], ['Hello ,Hello? waaa,bborld !'], ['HHelblo ,Helaabc123lo? rlabcHello Worlld! deg'], ['Hello , w orld Hello , world !!'], ['aObcLOHELLO HELLOHELLO WORLD WOORLDHELLO WRLaabc123D de'], ['oHeHlldHelled !'], ['dabcd aaabc123aabab cdg deg12344c123Hello World!e'], ['aaab cdg deg12344a,bbb'], ['NDcwhwK'], ['ab ecd degab cd deg'], ['Python 3.9.7 (default, Sep 26 2021, 08:14:53) [MSC v.1916 64 bit (AMD64)] \\n'], ['Testing with spaces, commas and odd-order lowercase letters like a, bdf, hjklp'], ['Testing error handling when None is passed as the input parameter'], ['A nice list of words like antidisestablishmentarianism, pneumonoultramicroscopicsilicovolcanoconiosis, floccinaucinihilipilification, supercalifragilisticexpialidocious'], ['A mix of spaces and commas like this,should split as,words,and numbers like 12345,67890'], ['This text contains no whitespaces but has commas,a period, and  odd-order lowercase letters such as bd, fhhj, and nprtvxz'], ['This also has no whitespaces, but only has commas like, this, and, that, so we should split on commas'], ['A normal sentence with whitespaces and no commas'], ['ABCDEFG'], ['k'], ['A normal sentence with whitespaces and noommas'], ['should'], ['A nice list of words like antidisestablishmentarianism, pneumonoultramicroscopicsilicovolcanoconiosis, floccinaucinihilipilificateion, supercalifragilisticexpialidocious'], ['eZWOsS"}},"874ba930967a0fbe70a7b2ee9c7bebb7"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Hello world!'], ['Hello,world!'], ['abcdef']]\n    results = [['Hello', 'world!'], ['Hello', 'world!'], 3]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(split_words)\n\n\n\nprint('___SENTINEL___')\n","9447f5109af079711bf138868f146d50"]
[{"$cut":{"chars":46629,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[5]], [[1, 2, 3, 4, 5]], [[1, 3, 2, 4, 5]], [[1, 2, 3, 4, 5, 6]], [[1, 2, 3, 4, 5, 6, 7]], [[1, 3, 2, 4, 5, 6, 7]], [[]], [[1]], [[3, 2, 1]], [[1, 2, 2, 2, 3, 4]], [[1, 2, 3, 3, 3, 4]], [[1, 2, 2, 3, 3, 4]], [[1, 2, 3, 4]], [[1, 2, 3, 4, 5, 6, 7, 8]], [[8, 7, 6, 5, 4, 3, 2, 1]], [[1, 2, 2, 2, 2, 3, 4]], [[1, 1, 2, 2, 3, 3, 4]], [[1, 2, 3, 3, 3, 3, 3]], [[3, 3, 3, 3, 2, 2, 2, 2, 1, 1]], [[1, 1, 2, 3, 4]], [[4, 3, 2, 1]], [[1, 2, 2, 3, 4, 4, 5]], [[1, 0, 2, 3, 4]], [[1, 1, 2, 3, 5]], [[4, 3, 2]], [[4, 1, 3, 2]], [[1, 0, 2, 3]], [[1, 1, 2, 3, 4, 4]], [[1, 2, 3, 4, 5, 6, 7, 4, 8, 8]], [[8, 7, 6, 5, 4, 1, 3, 2]], [[8, 6, 5, 4, 3, 2, 1]], [[1, 1, 2, 2, 3, 3, 5, 4]], [[8, 6, 4, 3, 2, 1, 6]], [[5, 3, 2]], [[1, 2, 3, 6, 4, 5, 6, 7, 4, 8, 8]], [[1, 2, 3, 4, 5, 6, 4, 8]], [[8, 7, 6, 5, 4, 3, 2, 1, 5]], [[1, 2, 3, 3, 3, 3, 3, 3]], [[8, 8, 6, 5, 4, 3, 2, 1]], [[8, 8, 6, 5, 7, 6, 2, 1]], [[8, 7, 6, 5, 4, 3, 2, 6, 5]], [[8, 8, 6, 5, 4, 2, 2, 1, 8, 4]], [[8, 6, 8, 6, 5, 4, 3, 2, 1]], [[8, 8, 6, 5, 4, 2, 2, 1, 8, 4, 5, 4]], [[1, 1, 2, 2, 2, 3, 4]], [[8, 1, 6, 8, 6, 5, 4, 3, 2, 1]], [[8, 7, 4, 3, 2, 6, 5]], [[1, 0, 2, 4, 4]], [[1, 2, 3, 4, 5, 6, 7, 4, 8, 8, 2]], [[1, 2, 1, 2, 2, 3, 3, 5, 4]], [[3, 1, 3, 2]], [[1, 1, 2, 2, 2, 3, 4, 3]], [[4, 3, 2, 4, 3]], [[8, 8, 6, 5, 4, 3, 2, 1, 6]], [[1, 2, 2, 3, 7, 4, 5]], [[8, 6, 8, 6, 5, 4, 3, 2, 8, 1]], [[1, 2, 2, 2, 3, 3, 5, 4]], [[8, 7, 4, 3, 2, 6, 5, 6]], [[7, 4, 3, 2, 6, 5, 6]], [[0, 3, 2]], [[8, 1, 6, 2, 8, 6, 5, 4, 3, 2, 1]], [[1, 5, 5, 2, 3, 4, 5, 6, 7, 8]], [[8, 8, 6, 5, 4, 5, 1]], [[8, 8, 5, 4, 2, 2, 1, 8, 4, 5, 4]], [[4, 1, 2, 3, 4, 5, 6, 7, 8]], [[1, 2, 2, 3, 4, 5, 4, 5]], [[1, 2, 1, 5, 2, 6, 3, 8, 5, 4]], [[8, 8, 6, 5, 4, 2, 2, 1, 8, 4, 5, 4, 5]], [[1, 8, 6, 5, 4, 3, 2, 1]], [[1, 2, 2, 3, 5, 4, 5]], [[0, 2, 3, 4]], [[1, 2, 2, 3, 7, 4, 5, 2]], [[8, 6, 6, 5, 4, 3, 2, 8, 1, 4]], [[1, 8, 6, 5, 4, 2, 1]], [[8, 6, 8, 6, 5, 8, 4, 3, 2, 8, 1, 4]], [[1, 2, 2, 3, 4, 5, 5]], [[8, 8, 6, 5, 4, 3, 1]], [[0, 3]], [[2]], [[8, 7, 6, 5, 4, 3, 2, 6, 5, 2]], [[1, 0, 2, 4, 3]], [[1, 2, 3, 4, 5, 6, 7, 4, 8, 8, 1, 6]], [[5, 5, 5, 2, 3, 4, 5, 6, 8]], [[1, 8, 6, 5, 8, 3, 2, 1]], [[8, 7, 6, 5, 4, 3, 2, 1, 5, 1]], [[1, 2, 2, 2, 3, 3, 5, 4, 1]], [[8, 8, 6, 5, 4, 3, 2, 1, 4]], [[8, 7, 6, 5, 4, 3, 3, 1, 5]], [[8, 8, 6, 5, 4, 2, 2, 1, 8, 4, 5, 4, 6]], [[1, 2, 4, 3, 3, 3, 3, 7]], [[1, 2, 4, 3, 3, 3, 2, 3, 7]], [[5, 5, 5, 2, 3, 4, 6, 6, 8]], [[6, 3, 2, 4, 3]], [[8, 8, 5, 4, 2, 2, 1, 8, 4, 5, 4, 5]], [[8, 6, 8, 5, 4, 2, 1]], [[1, 2, 3, 3, 3, 3, 3, 1]], [[8, 8, 6, 5, 4, 3, 2, 1, 7]], [[1, 2, 2, 2, 3, 3, 5, 4, 1, 2]], [[0, 2, 2, 3, 4, 4, 5]], [[8, 8, 5, 4, 2, 2, 1, 8, 4, 5, 1, 5, 1]], [[5, 8, 7, 6, 4, 3, 2, 1, 5, 1]], [[1, 2, 2, 3, 5, 5]], [[5, 0, 2, 3, 0, 5, 6, 0, 8]], [[8, 4, 3, 2, 1, 6, 1]], [[8, 6, 5, 4, 2, 2, 1, 8, 4, 5, 4]], [[5, 8, 6, 4, 4, 2, 1, 5, 1, 6]], [[5, 4, 3, 2, 1]], [[1, 2, 1, 2, 2, 3, 3, 5, 1, 4]], [[8, 6, 5, 8, 3, 2, 1]], [[5, 0, 2, 3, 0, 5, 6, 0, 8, 0]], [[1, 1, 1, 2, 3, 4, 4]], [[5, 5, 5, 2, 3, 4, 6, 8]], [[0, 0, 2, 2, 4, 4, 4]], [[1, 1, 1, 2, 2, 2, 3, 3, 3]], [[1, 2, 2, 2, 2, 2, 2, 3]], [[1, 2, 2, 2, 3, 3, 3, 3, 3]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10]], [[1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2]], [[1, 1, 1, 1, 1, 1]], [[7, 3, 10, 8, 2]], [[2, 3, 4, 4, 4, 4, 4, 4, 5, 6]], [[1, 2, 3, 5, 4, 6, 7, 8, 9, 10, 11]], [[1, 1, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2]], [[1, 1, 4, 1, 1, 1, 1]], [[0, 0, 2, 4, 4, 4]], [[12, 1, 1, 3, 5, 4, 6, 7, 8, 9, 10, 11]], [[7, 3, 5, 10, 8, 2, 2]], [["}},"5f228a2b304ae7b9a36884ae1846dc6c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[5]], [[1, 2, 3, 4, 5]], [[1, 3, 2, 4, 5]], [[1, 2, 3, 4, 5, 6]], [[1, 2, 3, 4, 5, 6, 7]], [[1, 3, 2, 4, 5, 6, 7]], [[1, 2, 2, 3, 3, 4]], [[1, 2, 2, 2, 3, 4]]]\n    results = [True, True, False, True, True, False, True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_sorted)\n\n\n\nprint('___SENTINEL___')\n","f59c0ee7982d47b19996973ceb5836ef"]
[{"$cut":{"chars":21842,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2], [2, 3]], [[-1, 1], [0, 4]], [[-3, -1], [-5, 5]], [[-2, 2], [-4, 0]], [[-11, 2], [-1, -1]], [[1, 2], [3, 5]], [[1, 2], [1, 2]], [[-2, -2], [-3, -2]], [[0, 0], [0, 1]], [[10, 20], [15, 25]], [[-15, 15], [-10, 10]], [[0, 5], [6, 10]], [[5, 10], [1, 7]], [[11, 11], [11, 11]], [[1, 5], [3, 7]], [[-6, -2], [-1, 1]], [[7, 13], [10, 23]], [[-10, 0], [-2, 2]], [[-6, -2], [-6, -2]], [[6, 6], [6, 6]], [[0, 1], [0, 0]], [[3, 7], [3, 7]], [[7, 12], [10, 23]], [[-6, -2], [-1, 0]], [[1, 5], [1, 5]], [[5, 6], [5, 6]], [[5, 5], [5, 5]], [[0, 0], [0, 0]], [[3, 13], [3, 13]], [[-2, -2], [-2, -2]], [[2, 3], [2, 3]], [[10, 23], [10, 23]], [[-15, 20], [-15, 20]], [[10, 20], [10, 20]], [[5, 11], [1, 7]], [[7, 12], [7, 12]], [[5, 10], [-1, 7]], [[2, 5], [3, 7]], [[0, 3], [0, 0]], [[5, 10], [5, 10]], [[-10, 0], [-10, 0]], [[2, 2], [2, 2]], [[-15, 12], [-10, 10]], [[-2, 7], [-2, 7]], [[-15, 15], [-15, 15]], [[-10, 10], [-10, 10]], [[11, 15], [11, 15]], [[-15, 6], [-15, 6]], [[-15, 1], [-15, 1]], [[12, 12], [12, 12]], [[-10, 1], [-2, 2]], [[12, 13], [12, 13]], [[1, 1], [1, 1]], [[2, 5], [2, 5]], [[-10, 1], [-10, 1]], [[7, 13], [9, 10]], [[10, 15], [10, 15]], [[6, 10], [6, 10]], [[1, 6], [3, 7]], [[-10, -1], [-10, -1]], [[2, 13], [2, 13]], [[5, 9], [5, 9]], [[10, 21], [10, 21]], [[15, 25], [15, 25]], [[10, 10], [10, 10]], [[-15, 12], [-15, 12]], [[7, 13], [3, 10]], [[1, 5], [-1, 7]], [[-1, 1], [-1, 1]], [[-7, -2], [-7, -2]], [[4, 10], [4, 10]], [[-1, 0], [-1, 0]], [[9, 23], [9, 23]], [[0, 5], [9, 10]], [[2, 7], [2, 7]], [[6, 7], [6, 7]], [[-1, -1], [-1, -1]], [[23, 23], [23, 23]], [[9, 9], [9, 9]], [[1, 7], [1, 7]], [[10, 11], [10, 11]], [[7, 13], [7, 13]], [[0, 5], [0, 5]], [[0, 2], [0, 2]], [[8, 8], [8, 8]], [[-15, 10], [-15, 10]], [[-7, 5], [-7, 5]], [[5, 10], [-1, 6]], [[2, 12], [2, 12]], [[-15, -10], [-15, -10]], [[-7, 4], [-7, 4]], [[-7, 10], [-7, 10]], [[19, 23], [19, 23]], [[0, 1], [0, 1]], [[-10, 10], [-15, 15]], [[2, 4], [2, 4]], [[-12, 2], [-12, 2]], [[9, 10], [9, 10]], [[15, 15], [-10, -10]], [[-15, 9], [-15, 9]], [[4, 10], [-1, 7]], [[-11, 10], [-15, 15]], [[-11, 3], [-11, 3]], [[1, 12], [1, 12]], [[5, 23], [5, 23]], [[1, 6], [1, 6]], [[0, 5], [3, 10]], [[-10, 10], [-20, 20]], [[-100, 50], [25, 150]], [[-3, 5], [-9, -2]], [[-7, -5], [0, 5]], [[-1000, -999], [-1000, -999]], [[1000000000, 1000000001], [1000000001, 1000000002]], [[-999999999, 1000000000], [-1000000000, 1000000001]], [[7, 11], [13, 19]], [[100000007, 100000009], [100000009, 100000011]], [[-1000000000, 1000000000], [1, 1000000001]], [[-100, 50], [-100, 50]], [[-3, 50], [-3, 50]], [[50, 50], [50, 50]], [[1000000000, 1000000002], [1000000001, 1000000002]], [[-10, 1000000001], [-10, 1000000001]], [[1000000001, 1000000002], [1000000000, 1000000002]], [[1000000001, 1000000002], [1000000001, 1000000002]], [[-20, 20], [-10, 10]], [[1000000000, 1000000001], [1000000000, 1000000001]], [[-4, -4], [0, 5]], [[100000007, 100000009], [100000007, 100000009]], [[1000000000, 1000000001], [1000000001, 1000000001]], [[-20, 20], [-20, 20]], [[-999, -5], [-999, -5]], [[-20, 20], [-4, 10]], [[-100, 49], [-100, 49]], [[-4, 11], [-4, 11]], [[1000000001, 1000000001], [1000000001, 1000000001]], [[0, 1000000001], [0, 1000000001]], [[-1000000000, 1000000000], [-1000000000, 1000000000]], [[1000000000, 1000000002], [1000000000, 1000000002]], [[-999, 5], [-999, 5]], [[-999, -100], [-999, -100]], [[-100, -100], [-100, -100]], [[-999, -99], [-999, -99]], [[100000009"}},"d32d927486c92ea143713ac93668a42d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[(1, 2), (2, 3)], [(-1, 1), (0, 4)], [(-3, -1), (-5, 5)]]\n    results = ['NO', 'NO', 'YES']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(intersection)\n\n\n\nprint('___SENTINEL___')\n","9028250e11e34f11dfd8bb7b322caf9f"]
[{"$cut":{"chars":48338,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 2, -4]], [[0, 1]], [[1, 1, 1, 2, 3, -1, 1]], [[]], [[2, 4, 1, 2, -1, -1, 9]], [[-1, 1, -1, 1]], [[-1, 1, 1, 1]], [[-1, 1, 1, 0]], [[0, 0, 0, 0]], [[-1, -2, -2, -4]], [[-1, 0, 1, 2]], [[-2, -2, -2, 4]], [[1, 1, 1, 0]], [[-3, 5, -7, 9]], [[100, 10, 1, 0, -1, -10, -100]], [[2, 2, 2, 2, 2, 2, 2, -2]], [[1, 1, 1, -1, -1, -1, 0]], [[5, -3, 0, 4]], [[-1, 0, 2, 2, 2]], [[-1, 0, 1, -100, 0, 2]], [[-3, 5, -7]], [[-1, -2, -2, -4, -4, -4]], [[-1, -2, -2, -4, -4, -4, -4]], [[-1, 0, 0, -100, 0, 2]], [[0, 0]], [[-1, -3, -2, -4, -4, -4]], [[0, 4, 0, -100, 0]], [[-2, -2, 9, 4]], [[2, 2, 2, 2, 2, 2, 4, 2, -2]], [[2, 1, 1, -1, -1, 0]], [[0, 1, 0]], [[2, 1, 1, 0, -1, 0]], [[-1, 1, 2, -1]], [[2, 2, 2, 2, 2, 2, 3, 5, 2, -2]], [[0, 0, 0, -1, 1]], [[-1, 0, 1]], [[2, 3, 1, 1, -1, -1, 0]], [[100, 10, 1, -1, -10, -100, 10]], [[2, 2, 2, 2, 2, 2, -2, 2]], [[9, -1, -7, 0, 1, 9]], [[1, 2, 1, 1, 0, -1, 0]], [[5, -3, 0, 4, -3]], [[-2, 0, 0, -100, 0, 2]], [[2, 2, 2, 2, 2, 2, 2, -2, -2]], [[-2, -2, 9, -4]], [[1, 2, 1, 1, 0]], [[-3, -2, -4, -4, -4]], [[2, 2, 2, 2, 2, 2, -2, -2]], [[-1, 0, -100, 0, 2, 1]], [[3, -2, -4, -4, -4]], [[-1, 0, -100, 0, -2, 1]], [[2, 2, 2, 2, 2, 2, -2, -2, 2]], [[2, 0, 0, -100, 0, 2, 0]], [[2, 2, 2, 2, 2, 2, 3, 5, 2, -2, 2]], [[-1, 0, 0, -2, 1]], [[-3, -2, -4, -4]], [[-1, -3, -2, -2, -4, -4]], [[1, 10, 1, 0, -1, 0]], [[0, 1, 4, 0]], [[1, 1, -1, -1, -2, -1, 10]], [[2, 2, 2, 2, 0, 2, 2, 4, 2, -2]], [[1, 1, 0]], [[-3, 5, -7, 9, -3]], [[-3, -10, -4, -4]], [[-3, 3, -10, 9, -4, -4]], [[-3, 3, -10, 10, -4, -5]], [[-1, 0, 0, -2, 1, 0]], [[4, 10, -2, -1, 0]], [[-3, -1, -2, -2, -4, -4, -4, -4, -2]], [[2, 2, 2, -1, 2, 1, 2, 3, 5, 2, -2, 2]], [[0, 1, 1]], [[1]], [[-1, 1, 2, 2]], [[-1, 0, 1, -100, -1, 2]], [[2, 2, 2, 2, 2, 2, 2, -2, -2, -2]], [[1, 2, 1, 1, 0, -1, 0, 2]], [[9, -1, -7, 1, 1, 9]], [[-4, 0, 5, -10, 83, 4]], [[-2, 0, 0, -100, 0, 2, 0]], [[2, 2, 2, 2, 2, 2, -2]], [[-3, 1]], [[-3, -10, -4, -4, -10]], [[-3, -1, -2, -2, -4, -4, -4, -4, -2, -4]], [[0, 1, 1, 1]], [[1, 1, 1, 0, -1, 0]], [[3, 1, 1, -1, -1, 0, 0]], [[-3, 3, -10, 10, -4, -3, -5, 3]], [[9, -1, -7, 0, 1, 9, 0]], [[-1, 0, -100, 0, -2, 1, 0]], [[1, 1, 1, -7, 0, 1]], [[1, -10, 1, 1, 0, -1, 0]], [[2, 2, 2, 2, 2, 3, 2, -2, -2]], [[0, -1, -1, 0, 0]], [[-3, -10, 83]], [[2, 0, -100, 0, 2, 0]], [[100, 1, 1, -1, -1, -1, 0]], [[-1, 0, 1, -100, 0, -1, 2]], [[100, 10, 1, -1, -10, -100, 10, 1]], [[0, 0, -2, 1, 0]], [[-10, 3, -10, 10, -4, -5]], [[-2, 0, 0, -100, 0, 2, 0, 2]], [[2, 2, 2, 2, 2, 4, 2, -2]], [[0, 0, 0, -1]], [[9, -1, -7, 0, 1, 1, 9]], [[0, 1, 4, 0, 0, 1]], [[-1, 0, 0, 2, 1]], [[4, -7, -7]], [[1, 1, 2, -1, -1, 0, 1]], [[1, 2, 3, 4, 5, -6, -7, -8, -9, -10]], [[-1, -2, -3, -4, -5, -6, -7, -8, -9, -10]], [[0, 0, 0, 0, 0, 0, -1, -1, 1, 1, 1, 1, 1]], [[1, 2, 3, 0, -3, -2, -1]], [[0, 0, 0, 0, 0, 0]], [[1, 2, -3, -4, 0, 5, 6, -7, -8, 9, 10, 11, -12, 13, 14, -15, 16, 17, -18, -19, -20]], [[0, 0, 0, 0, 0, 1, 2, 3, 4, -1, -2, -3, -4, 5, 6, 7, -5, -6, -7]], [[-1, -2, -3, -4, -5, -6, 0]], [[0, 1, 2, 3, -4, -5, -6, 7, 8, -9, -10]], [[1, 2, 3, -4, -5]], [[1, 2, 3, 0, -3, 6, -1]], [[0, 1, 2, 3, -4, -5, -6, 7, 8, -9, -10, -10]], [[1, 2, -3, -4, 0, 5, 6, -7, 9, 10, 11, -12, 13, 14, -15, 16, 17, -18, -19, -20, 9]], [[0, 1, 2, 2, 3, -4, -5, 10, 7, 8, -9, -10, -10, 7]], [[0, 0, 0, 0, 0, 1, 2, 3, 4, -1, -2, -3, -4, 5, 6, 7, -5, -6, -7, -6]], [[0, 1, 2, 2, 3, -4, -5, 10, 7, 8, 2, -10, -10, 7, -10]], [[0, 0, 0, 0, 0, 4, 1, 2, 3, 4, -1, -2, -3, -4, 5, 6, 7, -5, -6"}},"3de129cb01da38ca42e94ad0febee98a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 2, -4]], [[0, 1]], [[]]]\n    results = [-9, 0, None]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(prod_signs)\n\n\n\nprint('___SENTINEL___')\n","19e4174ad0c83db0bf0e90eb245a3857"]
[{"$cut":{"chars":20838,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3], [[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1], [[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16]], 4], [[[6, 4, 13, 10], [5, 7, 12, 1], [3, 16, 11, 15], [8, 14, 9, 2]], 7], [[[8, 14, 9, 2], [6, 4, 13, 15], [5, 7, 1, 12], [3, 10, 11, 16]], 5], [[[11, 8, 7, 2], [5, 16, 14, 4], [9, 3, 15, 6], [12, 13, 10, 1]], 9], [[[12, 13, 10, 1], [9, 3, 15, 6], [5, 16, 14, 4], [11, 8, 7, 2]], 12], [[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 8], [[[6, 1, 5], [3, 8, 9], [2, 7, 4]], 8], [[[1, 2], [3, 4]], 10], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 1], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 9], [[[9, 8, 7], [6, 5, 4], [3, 2, 1]], 3], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 5], [[[5, 4, 7], [2, 1, 8], [3, 6, 9]], 4], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 5], [[[1, 5, 3], [4, 2, 6], [7, 8, 9]], 4], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 6], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 15], [[[1, 5, 3], [4, 2, 6], [7, 8, 9]], 2], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 13], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 6], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 4], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 5], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 7], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 18], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 9], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 10], [[[1, 5, 3], [4, 2, 6], [7, 8, 9]], 3], [[[5, 4, 7], [2, 1, 8], [3, 6, 9]], 12], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 1], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 20], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 19], [[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 20], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 17], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 17], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 3], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 6], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 13], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 14], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 2], [[[1, 4, 7], [2, 5, 8], [3, 6, 9]], 21], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 12], [[[5, 4, 7], [2, 1, 8], [3, 6, 9]], 1], [[[2, 3, 4], [5, 6, 7], [8, 9, 1]], 15], [[[1, 6, 13, 14], [9, 8, 7, 16], [12, 10, 2, 11], [5, 4, 3, 15]], 16], [[[1, 5, 9, 13], [2, 6, 10, 14], [3, 7, 11, 15], [4, 8, 12, 16]], 16], [[[2, 7, 4], [3, 1, 5], [6, 8, 9]], 1], [[[1, 3, 5, 7], [9, 11, 13, 15], [2, 4, 6, 8], [10, 12, 14, 16]], 5], [[[10, 5, 20, 14, 16], [7, 11, 12, 17, 9], [13, 19, 1, 15, 8], [3, 18, 4, 6, 2], [22, 21, 23, 24, 25]], 10], [[[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [11, 12, 13, 14, 15], [16, 17, 18, 19, 20], [21, 22, 23, 24, 25]], 20], [[[10, 7, 14, 1], [15, 9, 8, 5], [12, 6, 2, 16], [13, 11, 3, 4]], 10], [[[1, 2], [3, 4]], 2], [[[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [11, 12, 13, 14, 15], [16, 17, 18, 19, 20], [21, 22, 23, 24, 25]], 1], [[[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [11, 12, 13, 14, 15], [16, 17, 18, 19, 20], [21, 22, 23, 24, 25]], 9], [[[1, 2], [3, 4]], 3], [[[1, 3, 5, 7], [9, 11, 13, 15], [2, 4, 6, 8], [10, 12, 14, 16]], 8], [[[10, 5, 20, 14, 16], [7, 11, 12, 17, 9], [13, 19, 1, 15, 8], [3, 18, 4, 6, 2], [22, 21, 23, 24, 25]], 11], [[[1, 2], [3, 4]], 24], [[[10, 7, 14, 1], [15, 9, 8, 5], [12, 6, 2, 16], [13, 11, 3, 4]], 11], [[[1, 3, 5, 7], [9, 11, 13, 15], [2, 4, 6, 8], [10, 12, 14, 16]], 6], [[[10, 7, 14, 1], [15, 9, 8, 5], [12, 6, 2, 16], [13, 11, 3, 4]], 4], [[[1, 3, 5, 7], [9, 11, 13, 15], [2, 4, 6, 8], [10, 12, 14, 16]], 10], [[[1, 3, 5, 7], [9, 11, 13, 15], [2, 4, 6, 8], [10, 12, 14, 16]], 9], [[[1, 3, 5, 7], [9, 11, 13, 15], [2, 4, 6, 8], [10, 12, 14, 16]], 15], [[[1, 2], [3, 4]], 18], [[[1, 6, 13, 14], [9, 8, 7, 16], [12, 10, 2, 11],"}},"c33d841e663b1394bf64fb8f7e75c960"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[[1, 2, 3], [4, 5, 6], [7, 8, 9]], 3], [[[5, 9, 3], [4, 1, 6], [7, 8, 2]], 1]]\n    results = [[1, 2, 1], [1]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(minPath)\n\n\n\nprint('___SENTINEL___')\n","9aa08e97d9b9a2edf0a1c2a16f6a0d16"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef ref_func(n):\n\n\n    if n == 0: return [1]\n    if n == 1: return [1, 3]\n    ans = [1, 3]\n    for i in range(2, n + 1):\n        if i % 2 == 0:\n            ans.append(1 + i / 2)\n        else:\n            ans.append(ans[-1] + ans[-2] + 1 + (i + 1) / 2)\n    return ans\n\n\n\ndef check(candidate):\n    inputs = [[3], [4], [5], [6], [7], [8], [9], [20], [0], [1], [2], [10], [15], [25], [13], [12], [30], [100], [35], [50], [99], [29], [24], [51], [16], [14], [26], [17], [18], [23], [49], [34], [98], [11], [28], [36], [22], [101], [102], [33], [31], [27], [21], [97], [32], [52], [48], [53], [47], [19], [103], [88], [87], [89], [96], [95], [46], [45], [44], [94], [104], [85], [37], [86], [43], [105], [42], [84], [38], [39], [106], [83], [82], [93], [108], [81], [41], [64], [40], [90], [54], [65], [66], [91], [63], [107], [67], [92], [109], [80], [62], [61], [55], [75], [79], [68], [111], [110], [1000000], [74], [73], [1000001], [999999], [999997], [999998], [999996], [999995], [76], [77], [78], [71], [72], [1000002], [1000003], [1000004]]\n    for i, inp in enumerate(inputs):\n        assertion(candidate(*inp), ref_func(*inp), 0)\n\ncheck(tri)\n\n\nprint('___SENTINEL___')\n","e4c49fcd7571309dbc80584669221232"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3]]\n    results = [[1, 3, 2, 8]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(tri)\n\n\n\nprint('___SENTINEL___')\n","89f26c25d78239881f1b48cdaf4e3f24"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5], [54], [120], [5014], [98765], [5576543], [2468], [951], [246], [135797531], [888], [182135], [703], [999], [111], [1001], [3], [952], [889], [998], [2], [182136], [25], [701], [4], [24], [997], [247], [6], [953], [135797532], [7], [248], [23], [996], [135797533], [995], [994], [891], [26], [8], [112], [22], [950], [702], [1000], [704], [182137], [893], [993], [135797534], [135797535], [245], [249], [9], [244], [890], [47], [992], [700], [135797530], [705], [243], [27], [182134], [887], [46], [894], [699], [45], [707], [892], [182138], [182139], [1002], [113], [1], [88], [706], [250], [110], [949], [698], [242], [11], [135797529], [1003], [109], [135797536], [182133], [43], [135797538], [241], [71], [114], [28], [135797539], [10], [89], [954], [240], [44], [886], [115], [70], [991], [323456789101112131415161718192021222324252627282930313233343536], [182937457814614279640075438629345987263878749129823578184719333882443], [8843924584737538929273870549395092387583092748327447402387489518947358439582352948], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347584], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598343], [13579], [123456789], [945], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253], [182937457814614279640075438629345987263878749129823578184719333882442], [182937457814614279640075438629345987263878749129823578184719333882444], [123456788], [123456787], [944], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347585], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347583], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515254], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598344], [323456789101112131415161718192021222324252627282930313233343535], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515252], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598342], [182937457814614279640075438629345987263878749129823578184719333882441], [182937457814614279640075438629345987263878749129823578184719333882445], [943], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515251], [8843924584737538929273870549395092387583092748327447402387489518947358439582352947], [323456789101112131415161718192021222324252627282930313233343537], [323456789101112131415161718192021222324252627282930313233343534], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347587], [323456789101112131415161718192021222324252627282930313233343538], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347586], [182937457814614279640075438629345987263878749129823578184719333882446], [942], [182937457814614279640075438629345987263878749129823578184719333882448], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347582], [182937457814614279640075438629345987263878749129823578184719333882447], [941], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347581], [8843924584737538929273870549395092387583092748327447402387489518947358439582352946], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598341], [123456786], [8843924584737538929273870549395092387583092748327447402387489518947358439582352949], [13578], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515255], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515256], [8843924584737538929273870549395092387583092748327447402387489518947358439582352945], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598346], [8843924584737538929273870549395092387583092748327447402387489518947358439582352944], [8843924584737538929273870549395092387583092748327447402387489518947358439582352950], [53], [940], [52], [182937457814614279640075438629345987263878749129823578184719333882440], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515257], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515250], [946], [73], [947], [182937457814614279640075438629345987263878749129823578184719333882449], [55], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598340], [323456789101112131415161718192021222324252627282930313233343539], [16], [69], [15], [13577], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598345], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598347], [30], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347588], [74], [64], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515249], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515258], [72], [17], [8843924584737538929273870549395092387583092748327447402387489518947358439582352951], [14], [51], [95], [94], [123456785], [57], [8843924584737538929273870549395092387583092748327447402387489518947358439582352943], [32], [65], [62], [68], [182937457814614279640075438629345987263878749129823578184719333882439], [123456784], [18], [33], [323456789101112131415161718192021222324252627282930313233343533], [96], [76], [124834738571930288374895092375830274843252127479238048384758941827309258429539458173975894729347589], [948], [75], [13580], [13], [182937457814614279640075438629345987263878749129823578184719333882450], [123456783], [1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515248], [100], [11111111111111111111], [22222222222], [333333333333], [13581], [123456790], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598348], [3902482539585903843732859374089573948579380957409378540930757943758435987234095873947598349], [13576], [8843924584737538929273870549395092387583092748327447402387489518947358439582352942], [8843924584737538929273870549395092387583092748327447402387489518947358439582352941], [13582], [8843924584737538929273870549395092387583092748327447402387489518947358439582352940], [123456791], [8843924584737538929273870549395092387583092748327447402387489518947358439582352939], [323456789101112131415161718192021222324252627282930313233343532], [13583], [8843924584737538929273870549395092387583092748327447402387489518947358439582352938], [21], [49], [20], [13585], [123456792], [323456789101112131415161718192021222324252627282930313233343531], [99], [48]]\n    results = [5, 5, 1, 5, 315, 2625, 0, 45, 0, 99225, 0, 15, 21, 729, 1, 1, 3, 45, 9, 81, 0, 3, 5, 7, 0, 0, 567, 7, 0, 135, 99225, 7, 0, 3, 81, 297675, 405, 81, 9, 0, 0, 1, 0, 45, 7, 1, 7, 21, 27, 243, 99225, 496125, 5, 9, 9, 0, 9, 7, 81, 7, 99225, 35, 3, 7, 3, 7, 0, 9, 81, 5, 49, 9, 3, 27, 1, 3, 1, 0, 7, 5, 1, 81, 9, 0, 1, 297675, 3, 9, 99225, 9, 3, 99225, 1, 7, 1, 0, 893025, 1, 9, 45, 0, 0, 0, 5, 7, 81, 83053267329375, 2374385525072174368125, 9200959088342885342286486328125, 47338934509524145086063972158203125, 149749111277833459456445972784093017578125, 945, 945, 45, 83439724563916998046875, 791461841690724789375, 791461841690724789375, 105, 735, 9, 236694672547620725430319860791015625, 142016803528572435258191916474609375, 27813241521305666015625, 49916370425944486485481990928031005859375, 415266336646875, 27813241521305666015625, 49916370425944486485481990928031005859375, 791461841690724789375, 3957309208453623946875, 27, 27813241521305666015625, 64406713618400197396005404296875, 581372871305625, 83053267329375, 331372541566669015602447805107421875, 83053267329375, 47338934509524145086063972158203125, 791461841690724789375, 9, 791461841690724789375, 47338934509524145086063972158203125, 5540232891835073525625, 9, 47338934509524145086063972158203125, 9200959088342885342286486328125, 49916370425944486485481990928031005859375, 105, 82808631795085968080578376953125, 105, 139066207606528330078125, 27813241521305666015625, 46004795441714426711432431640625, 49916370425944486485481990928031005859375, 9200959088342885342286486328125, 46004795441714426711432431640625, 15, 9, 5, 791461841690724789375, 194692690649139662109375, 27813241521305666015625, 9, 21, 63, 7123156575216523104375, 25, 49916370425944486485481990928031005859375, 747479405964375, 1, 9, 5, 735, 249581852129722432427409954640155029296875, 349414592981611405398373936496217041015625, 3, 47338934509524145086063972158203125, 7, 0, 50063834738350198828125, 27813241521305666015625, 7, 7, 46004795441714426711432431640625, 1, 5, 45, 9, 525, 35, 27602877265028656026859458984375, 3, 5, 0, 0, 21369469725649569313125, 105, 1, 9, 249159801988125, 9, 7, 426050410585717305774575749423828125, 9, 35, 15, 3, 3957309208453623946875, 315, 5562648304261133203125, 1, 1, 0, 531441, 15, 945, 49916370425944486485481990928031005859375, 449247333833500378369337918352279052734375, 105, 9200959088342885342286486328125, 9200959088342885342286486328125, 15, 9200959088342885342286486328125, 945, 248425895385257904241735130859375, 83053267329375, 45, 27602877265028656026859458984375, 1, 9, 0, 75, 945, 83053267329375, 81, 0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(digits)\n\n\nprint('___SENTINEL___')\n","fdf3b676b4191aa4970691959fead578"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1], [4], [235]]\n    results = [1, 0, 15]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(digits)\n\n\n\nprint('___SENTINEL___')\n","f12e455df7f386bc0b45f8b97ca32e25"]
[{"$cut":{"chars":82931,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['[[]]'], ['[]]]]]]][[[[[]'], ['[][]'], ['[]'], ['[[[[]]]]'], ['[]]]]]]]]]]'], ['[][][[]]'], ['[[]'], ['[]]'], ['[[]][['], ['[[][]]'], [''], ['[[[[[[[['], [']]]]]]]]'], ['[[]][]'], ['[[]]]'], ['[]][[]'], ['[][][]'], ['[[][]['], ['[[[]]]]'], ['[[[][]]]'], ['[][][][[][]][]'], ['][[][]['], ['[[[[[[]]]]]]'], ['[[][[]['], ['][]][[]'], ['[[[[][]]]][]'], ['[[[[][]]]]][]'], ['][]][][]][[][]'], [']][[][[[]]]]['], [']][[][[]]]]['], ['[[[][]][[][][]]]]][]'], [']][[][[]]]][[[[[[][]]]]][][]]]][]['], ['[[[]]]'], ['[[[[[[]]]]]]][[][[]]]][[[[[[][]]]]][][]]]][][]'], ['][]][[[]]'], ['][]][]'], ['][][]['], ['][]][[[]'], ['][]][[[][]]]]]][[][[]]]][[[[[[][]]]]][][]]]][]['], ['[[[[[[]]]]]]]'], ['[[]]]]]]][]'], ['[[[]]]][]][][]][[][]]'], ['][][]][[[]]][[[]'], ['][]]][[][]'], ['[[[[[[]]]]]]][[][[]]]][[[[[[][]]]]][][]]]][]['], ['][][[[]'], ['][][][][]][[][]'], ['][][][[[]'], ['[[]]]]][[][[]]]]['], [']]'], ['[[]]]]]]][[[]]]][]][][]][[][]][]]'], ['[[[[[[]]]]'], ['[[[[[[]]]]][]]]'], ['[[]]]]]][]'], ['[][][][][][]'], ['][][][][][][][]][[[]'], ['[[]]]]][[][[]]]][['], ['[[[[[][]]]]]]'], ['[][][][][]][[[]]][][]'], ['[][][][][]][]][]][][]][[][]'], [']][[][[[]]['], ['[[[[][]]]][][[[[[[]]]]]]][[][[]]]][[[[[[][]]]]][][]]]][][[[]['], ['[[[[[[]]]]]]][[][[]]]]]['], ['][][[][[[[[[[[[][]][[[]]]]]]]]][[][[]]]][[[[]]][][]'], ['][[[[[[]]]]][]]][][[[]'], [']][[][[]'], ['[[[[][]]]][][[[[[[]]]]]]][[][[]]]][[[[[[][]]]]][][]]][][[[]][]][][]][[][]['], ['[[[[][]]]][][[[[[[]]]]]]][[][[]]]][[[[[[][]]]]][][]]]][][[[][[[]]]]][[][[]]]]['], ['][]]][][][]'], ['[[[][[]['], ['][][][][[[[]]]]][[][]'], ['[[]]]]][['], ['[[]]]]]][][][][[[[]]]]][[][][[][[]]]]['], ['][]][[[][]]]]]][[][[]]]][[[[[[][]]]]][][]]]][][[[[[][]]]]][]'], ['[][][][][][[]'], ['[[[[[[]]][[[[[[]]]]]]]]'], ['[[]]]]]]]][]'], ['[][[]]]]]][]][[][[[[[[]]][[[[[[]]]]]]]]'], ['[[[[[][]]]]][]'], [']]]'], ['[[[[[[]]]]]][]][[[]][]]]][][]'], ['[[[[[[]]]][[[][]][[][][]]]]][]]][[][[]'], ['][]]][[]][]'], ['][][[][[[[[[[[[][]][][[]]]]]]]]][[][[]]]][[[[]]][[][]'], [']][[][[]]]][[[[[[][]]]]]]]][]][]]]][]['], ['][[[[[[]]]]]][]][[[]][]]]][][]]'], ['[[]]]]][[][[[[[[][]]]][]]]]]['], ['[[]]]]][[][[]]]][[['], ['][]][[][[[[[[[[[][]][[[]]]]]]]]][[][[]]]][[[[]]][][]'], ['][[]['], [']][[][[]]]]][[[[[[][]]]]][][]]]][]['], ['[[]]]]][][[['], ['][]][[[][]]]]]][[][[]]]][[[[[[][]]]]][][]]]][][[[[[][]]]]]][]'], [']]][[][[]'], ['[]]]]][]'], ['[[[[[[]]]]][]]'], ['[[[[][]]]][][[[[[[]]]]]]][[][[]]]][[[[[[][]]]]][][]]]][][[[[][[[]][]]][[][[]]]]['], ['[[[[]]]]]][][][][[[[]]]]][[][][[][[]]]][]]]]]]][]'], ['[[[[][]]]][][[[[[[]]]]]]][[][[[[[[[][][][[[]]]]][[[][]][[][][]]]]][]]][[][[][]]]][[[[[[][]]]]][][]]]][][[[][[[]]]]][[][[]]]]['], ['[[]]]]][[][[][[[[][]]]][][[[[[[]]]]]]][[][[[[[[[][][][[[]]]]][[[][]][[][][]]]]][]]][[][[][]]]][[[[[[][]]]]][][]]]][][[[][[[]]]]][[][[]]]][]]]['], ['[[[[]]]]]][][][][[[[]]]]][[][][[][[]]]][[][[]['], ['[[]]]][[]][[[]]'], ['][][][][][][][]][[][]'], ['[[[]]]]]]]][][[[]]]]]][][][][[[[]]]]][[][][[][[]]]]][]][[[]][][[[]]['], ['][]][[[][]]]]]][[][[]]]][[[[[[]][]]]]][][]]]][][[[[[][]]]]]][]'], ['[[[]]]]]]]][][[[]]]]]][][][][[[[]]]]]][[][][[][[]]]]][]][[[]][][[[]]['], ['][][[][[[]]]]]]]][][[[[[[[[][]][][[]]]]]]]]][[][[]]]][[[[]]][[][]'], ['[][][][][]'], ['][][[][[[]]]]]]]]][][[[[[[[[][]][][[]]]]]]]]][[][[]]]][[[[]]][[][]'], ['[[[[]]]]]][][][[][[[[]]]]][[][][[[][[]]]][]]]]]]][]'], [']][[][][][][][[][][[]]]]['], ['[[[[]]]]]]][[[]]]][]][][]][[][]][]][[[[]]]]][]]]'], ['[[[[[[]]]]]][[][][]][[[]][]]]][][[]'], "}},"b78fbb43084d5c9cdaa3902040a4372b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['[[]]'], ['[]]]]]]][[[[[]'], ['[][]'], ['[]'], ['[[][]]'], ['[[]][[']]\n    results = [True, False, False, False, True, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_nested)\n\n\n\nprint('___SENTINEL___')\n","61ddefba04347fd3083a855d07082684"]
[{"$cut":{"chars":75244,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[1.0, 2, 3]], [[1, 3, 5, 7]], [[1.4, 4.2, 0]], [[-2.4, 1, 1]], [[100, 1, 15, 2]], [[10000, 10000]], [[-1.4, 4.6, 6.3]], [[-1.4, 17.9, 18.9, 19.9]], [[0]], [[-1]], [[-1, 1, 0]], [[-3, 4, 5, 6, 7]], [[2, 3, 4, -5]], [[0, 3.3, 7.7, -2.2]], [[10, 20, 30, 40]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[0, 0, 0]], [[-1, -2, -3]], [[1.1, 2.5, 3.7]], [[-2.9, -2.5, -1.1]], [[0.1, 0.5, 0.9]], [[2, 3, 2, 4, -5]], [[1.1, 2.535790961084111, 3.7]], [[1.1, 2.5, 3.7, 1.1]], [[0.5, 0.9]], [[1, 2, 0, 4, 5, 6, 7, 8, 9, 10]], [[3, 4, -5]], [[0.1, 0.5, 0.9, 0.5]], [[-2.9, -2.5]], [[10, 20, 30, 40, 10]], [[-2.9, -2.5, -1.1, -1.1]], [[10, 3, 10, 2, 4, -5, 4]], [[1, 2, 0, 6, 5, 6, 7, 8, 9, 10]], [[2, 3, 2, 9, 4, -5]], [[2, 3, 2, 4, -5, -5]], [[1, 2, 0, 6, 5, 7, 8, 9, 10]], [[1.3807739357525621, 0.5, 0.9]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 2]], [[-1, -2, -3, -1, -1]], [[10, 3, 10, 2, 4, -5, 4, 4]], [[0.5, 3.3, 0.5651200929607817]], [[1.1964179356010927, 2.5, 3.7, 1.1]], [[1.3807739357525621, 0.5, 0.9, 0.5]], [[30, 10, 20, 30, 40, 10]], [[-3, 4, 5, 6, 7, 4]], [[1, 2, 0, 5, 6, 7, 8, 9, 10]], [[-5, 20, 30, 40, 10, 10]], [[0, -2, -2]], [[2, 3, 4]], [[-0.0395412918863951, 1.3807739357525621, 0.5, 0.5]], [[0, 0, 0, 0]], [[-1, -2, 30, -1]], [[-3, 8, 4, 5, 6, 7]], [[-5, 20, 30, 10, 10, 10, 10, 10]], [[1, 2, 3, 3, 4, 5, 6, 7, 8, 9, 10]], [[-5, 20, 30, 9, 10, 10, 10, 10, 10]], [[1, 2, 0, 6, 5, 6, 7, 8, 9, 10, 6]], [[2, 4, -5]], [[-2, 30, 10, 20, 30, 40, 10]], [[1.1, 2.535790961084111, 3.7, 1.1]], [[1.3807739357525621, 0.5, 0.9, 0.5, 0.9]], [[-2, 30, -1]], [[40, -2, -2, 30, -1, 30, -1]], [[40, -2, -2, 30, -1, -3, -1]], [[-2.5, -1.1, -1.1]], [[40, -2, -2, 30, -1, 30, -1, -2]], [[2, 3, 2, 4, -5, -5, 2]], [[1, 4, 2, 0, 6, 5, 7, 8, 9, 10]], [[0, -2]], [[-2, 4, 5, 5, 6, 7, 5]], [[10, 20, 30, 7, 10]], [[-3, 8, 4, 5, 7, 6, 7]], [[1.3807739357525621, 0.5, 0.9, 3.3, 0.5, 0.5]], [[-1, -2, -3, -1, -1, -1]], [[-2.5, 0.5, 1.3122633441453049, -1.1, -1.820012478772272, -1.1, -2.5]], [[-2.5, -1.1]], [[1.1964179356010927, 2.5, 3.7, 1.1, 2.5]], [[2, 4, 2, 4, -5, -4, 2]], [[2.535790961084111, -0.0395412918863951, 2.535790961084111]], [[1, 2, 0, 10, 5, 6, 7, 8, 9, 10, 8, 10]], [[-4, 2, 4, -5, 2]], [[1.1964179356010927]], [[-4, 4, 2, 4, -5, -4, 2]], [[-2, -2, 30, -1, -1]], [[0, -2, -1]], [[1, 4, 2, 0, 6, 5, 7, 8, 9, 10, 7]], [[40, -2, -2, 30, 5, 30, -1, -2]], [[1, 4, -5]], [[4]], [[4, -3, 8, 4, 5, 7, 6, 7, 6]], [[-3, 8, 4, 5, 6, 7, 4]], [[10, 20, 30, 40, 10, 40]], [[1.3807739357525621, 0.13158576006729072, 0.9]], [[10, 9, 20, 30, 7, 10]], [[2, 3, 1, -5, 2, 4, -5]], [[2, 3, 2, -5, 4, -5, -5, 2]], [[1, 4, 2, 0, 6, 1, 5, 7, 8, 9, 10, 7]], [[10, 20, 30, 4, 10, 40]], [[-2.9, -1.1]], [[2, 0, 1, -5, 2, 4, -5]], [[2, 3, -5, -5]], [[-2, -2, 30, -1, -3, -1]], [[0, 0, 6, 0]], [[0, 0, 6, 5, 0]], [[-5, 9, 20, 30, 10, 10, 10, 10]], [[10, 4, 3, 10, 2, 4, -5, 4]], [[1.3807739357525621, 0.5, 0.5]], [[-1, 40, -2, -3, -1, -1]], [[-3, -5, 4, 5, 6, 7]], [[-5, 20, 30, 8, 10, 10, 10, 10]], [[1, 2, 0, 5, 6, 7, 8, 9, 10, 9]], [[1, 2, 3.4, -4.6, 5.1, 6]], [[1.1, 2.5, -3.7, -4.6, 5.2, 6]], [[-1.1, 2.5, -3.7, 4.6, 5.1, 6]], [[1, 2, -3.4, -4.6, -5.1, -6]], [[1.1, 2.5, -3.7, -4.6, -5.2, -6]], [[3.14, -8.09, 2.71, 0.69, 1.62, -9.99, 6.28, -14.04]], [[0.1, 1.5, 2.9, 3.2, 4.6, 5.1, 6.7]], [[0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6]], [[-5, -4.5, -4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5]], [[2.4, 4.2, 0, -1.5, -2.7, 3.6,"}},"0f6fe14d0bea211a3e217fb452158624"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[1, 4, 9]], [[1, 3, 5, 7]], [[1.4, 4.2, 0]], [[-2.4, 1, 1]]]\n    results = [14, 98, 84, 29, 6]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sum_squares)\n\n\n\nprint('___SENTINEL___')\n","7f03e139b369dbbdbbac0f26d482de2e"]
[{"$cut":{"chars":42600,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['apple'], ['apple pi e'], ['eeeee'], ['A'], ['Pumpkin pie '], ['Pumpkin pie 1'], [''], ['eeeee e '], ['apple pie'], ['apple pi e '], ['Pumpkin pi e'], ['Pumpkin pie!'], ['pUMPKIN PIE'], ['!'], ['aaaaa A'], ['aaaaa 1'], ['12'], ['apple pie!'], ['blueberry muffin!'], ['cake?'], ['pUMPKPIE'], ['aaaaaa 1'], ['cake?blueberry muffin!'], ['pUMPKPIEPumpkin pi e'], ['?blueberry muffin!'], ['Pumpkin pie!cake?'], ['Pumpkin e!'], ['applel pUMPKPIEPumpkin pi epie!'], ['caake?'], ['c?blueberry muffin!ke?'], ['aaaaa aaaaa 1A'], ['aaaaaa A'], ['aaaaaa aaaaa 1A'], ['cake?blueberrymuffin!'], ['cake?blueberrymuffinc!'], ['ceberrymuffinc!'], ['pUMPK'], ['aaaaa aaaaaa 1A'], ['1Pumpkin pie!cake?2'], ['ceberrymu12ffinc!'], ['?blueberruy muffin!'], ['ceberrymuffinc!Pumpkin pie!cake?'], ['acake?'], ['aaaaa aaa'], ['1Pumpkin pie!cake?applel pUMPKPIEPumpkin pi epie!2'], ['aaaaa 1cake?'], ['cakel?blueberrymuffinc!'], ['aaaaaa aaaa 1A'], ['cblueberry muffin!'], ['cake?blueberrymuffina!'], ['caaaaaaaa aaaaa 1Ake?'], ['cake?blueberrymufufinc!'], ['aaaaaaaaaa Aa aaa'], ['bluebepUMPKIN PIErry muffin!'], ['ceberrymunc!Pumpekin pie!ecake?'], ['ccake?'], ['blueberry muf'], ['cakel?blueberarymuffinc!'], ['bluebepUMEPKIN PIErry muffin!'], ['i?blueberry muffin!'], ['Pblueberry mufumpkin e!'], ['cakel?blupUMPKPIEPumpkin pi eeberrymuffinc!'], ['aaaaaa aaaaa 1?blueberruy muffin!A'], ['Pumpkin piie!cake?'], ['ccakapple pie!e?'], ['aaaaa pUMPKPIEPumpkin pi eaaaaa 1A'], ['blueberry ceberrymuffinc!Pumpkin pie!cake?muf'], ['Peumpkine pie!cake?'], ['pUMPcake?blueberrymufufinc!KPIEPulmpkin pi e'], ['1Pumpkin pie!c ake?applel pUMPaaaaa aaaaa 1AKPIEPumpkin pi epie!2'], ['applel pUMPKPIEPumpkin pi epiie!'], ['aaaaaa aaaaaa 1A'], ['cbluebeerry muffin!'], ['bluebepn!'], ['pUcake?blueberry muffin!IE'], ['jpBTU'], ['apple p!ie!'], ['OPxQV'], ['ccakceberrymuffinc!Pumpkin pie!cake?apple pcakel?blueberrymuffinc!iie!e?'], ['acceberrymuffinc!Pumpkin pie!cake?ake?'], ['pPUMPK'], ['blueberry mceberrymuffinc!Pumpkin pie!cake?in!'], ['aaaaaaaaaaaaaa 1cake?a pUcake?blueberry muffin!IEAa aaa'], ['21'], ['cakel?bluebec?blueberry muffin!ke?rarymuffinc!'], ['cake?blueberry mu ffin!'], ['aaaaapUMPK aaaaaa 1A'], ['aaaaacake?aa aaaaa 1A'], ['Pumie!cake?'], ['OPxQVV'], ['cmbluebeerry muffin!'], ['pUcake?blueberry muffnin!IE'], ['acake?blueberrymuffin!aaaa 1'], ['blueberry aaaaaa aaaaa 1An pie!cake?muf'], ['apple piaaaaaa aaaa 1Ae!'], ['cebOPxQVerrymuffinc!'], ['bluebepbUMEPKIN PIErccakceberrymuffinc!Pumpkin pie!cake?bapple pcakel?blueberrymuffinc!iie!e?muffin!'], ['bluebepUMEapple piaaaaaa aaaa 1Ae!muffinM!'], ['cebcbluebeerry muffin!errymuffcinc!'], ['aaa1Pumpkin pie!c ake?applel pUMPaaaaa aaaaa 1AKPIEPumpkin pi epie!2aaa A'], ['21Peumpkine pie!cake?'], ['cebcbluebeerry muffinPblueberry mufumpkin e!!errymuffcinc!'], ['cake?blueberrymufficebOPxQVerirymuffinc!n!'], ['cebcbluebeerry muffin!errymuffcinaaaaapUMPK aaaaaa 1Ac!'], ['pUMblueberry ceberrymuffinc!Pumpkin pie!cake?mufPKPIEPumpkin pi e'], ['applel pUMPKPIEPumpkin pi eppie!'], ['acake?bluebferrymuffin!aaaa 1'], ['cberry muffin!'], ['21Peumpki?'], ['aa1aaceberrymunc!Pumpekin pie!ecake?aa 1'], ['Apple $%^pie'], ['Hello, wor1d!'], ['The quick brown fox jumps over the lazy dogs.'], ['apple pie... or is it?'], ['My favorite food is fish, even though it swims.'], ['apple pi\\ne'], ['the quick brown fox jumps over the lazy dogs'], ['apple pie! '], ['appple pie 1 '], ['A$pple $%^pie'], ['Apple $%^$p$%^pieie'], ['$%^"}},"30487f32fb67ded2b16d7ae5fc0c1d38"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['apple pie'], ['apple pi e'], ['apple pi e '], ['']]\n    results = [False, True, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(check_if_last_char_is_a_letter)\n\n\n\nprint('___SENTINEL___')\n","d652533e5463a14e0d3cd789741ab91d"]
[{"$cut":{"chars":26865,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 4, 3, 5]], [[1, 2, 4, 5]], [[1, 4, 2, 5, 6, 7, 8, 9, 10]], [[4, 8, 5, 7, 3]], [[]], [[1]], [[1, 2, 3, 4, 5]], [[5, 4, 3, 2, 1]], [[1, 3, 5, 4, 6, 7, 9, 8]], [[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]], [[1, 4, 2, 5, 6, 7, 8, 9, 10, 3]], [[1, 3, 2, 4]], [[5, 4, 3, 2]], [[-1, 0, 1, 2, 3]], [[2, 3, 1, 4]], [[1, 3, 4]], [[6, 0, 1, 2, 3]], [[1, 4, 2, 5, 6, 8, 9, 10, 3]], [[2, 3, 4, 5]], [[2]], [[1, 2, 5, 6, 8, 9, 10, 3]], [[5, 4, 3, 1, 2]], [[1, 3, 5, 4, 6, 7, 8]], [[3, 1]], [[1, 4, 2, 5, 6, 7, -1, 9, 10, 3]], [[1, 4, 2, 5, 7, -1, 9, 10, 3]], [[6, 0, 1, 3]], [[-1, 0, -2, 1, 2, 3]], [[1, 4, 2, 5, 6, 8, 7, -1, 9, 10, 3]], [[10, 1]], [[5, 4, 2]], [[2, 1]], [[3, 2, 4]], [[5, 4, 6, 2]], [[1, 4, 2, 6, 8, 7, -1, 9, 10, 3]], [[6, 0, 1, 2, 4]], [[5, 4, 2, 1, 8]], [[9, 8, 7, 6, 5, 4, 3, 2, 1]], [[8, 4, 3, 2]], [[1, 4, 2, 6, 7, 5, -1, 10, 3]], [[-1, 2, 1]], [[1, 3, 5, 4, 6, 7, 9]], [[1, 3, -2]], [[-1, 2, 0]], [[5, 10, 1]], [[6, 0, 10, 2, 4]], [[6, 3, 4, 5]], [[1, 4, 2, 5, 6, 7, -1, 9, 3]], [[6, 0, 10, 4]], [[2, 3, 7, 4]], [[10, 8, 7, 6, 5, 4, 3, 2, 1]], [[6, 0, 2, 4]], [[2, 4, 10, 5]], [[8, 4, 3]], [[3]], [[5, 4, 6, -2]], [[5, 4, 2, 1]], [[4, 2, 1]], [[10, 3, -2, -1, 1]], [[1, 3]], [[3, 7]], [[0, 4, 2, 1, 8]], [[10, 9, 8, 7, 6, 5, 4, 3, 2, 0]], [[10, 3, 2, -2, -1, 1]], [[6, 4, 3, 1, 2]], [[-1, 0, 1, 7, 3]], [[1, 8, 4, 3, 2]], [[1, 3, 5, 4, 6, 7, 10, 8]], [[3, 1, 4]], [[1, 6, -2, 3]], [[5, 4, -3]], [[-1, 0, 6, 7, 3]], [[5, -3]], [[6, 0, 1, 2, 3, 4]], [[-1, 5, 0, 1, 2, 3]], [[7]], [[1, 3, 5, 4, 10, 6, 7, 9]], [[6, 3, 2, 4]], [[1, 3, 2, -3, 4]], [[1, 4, 2, 5, -2, 7, -1, 9, 10, 3]], [[1, 3, 5, 4, -1, 6, 7, 9, 8]], [[1, 4, 5, 6, 8, 7, -1, 9, 10, 3]], [[-3, 5, 4, -2]], [[5, 3, 2]], [[-1, -2, 1, 2, 3]], [[2, 1, 4, 10, 5]], [[0, 3]], [[-2, 5, -3]], [[2, 3, 4, 7]], [[10, 9, 8, 7, 6, 5, 4, 3, 1, 0]], [[6, 1, 2, 4]], [[4, 1]], [[-1, 2]], [[5, 6, 7, 0, 10, 4]], [[0, 1, 2, 4]], [[10]], [[1, 6, 0, -2, 3]], [[5, -3, 4, 6, -2]], [[5, 10]], [[4, 2, 1, 3, 5, 6, 7]], [[10, 9, 8, 4, 7, 6, 5, 2, 1]], [[3, 6, 9, 12, 15, 18, 21, 19, 16, 13, 10, 7, 4, 1, 2, 5, 8, 11, 14, 17, 20]], [[1, 3, 5, 4, 2, 6, 8, 7, 10]], [[1, 2, 3, 10, 9, 8, 7, 6, 5]], [[10, 9, 8, 1, 2, 3, 4, 7, 6, 5]], [[1, 10, 2, 9, 3, 8, 4, 7, 5, 6]], [[5, 4, 3, 2, 1, 6, 7, 8, 9, 10]], [[1, 3, 2, 5, 4, 7, 6, 9, 8, 10]], [[4, 3, 2, 1]], [[4, 8, 2, 1]], [[4, 6, 2, 1]], [[10, 8, 17, 7, 6, 5, 2, 18, 1]], [[3, 6, 9, 12, 15, 18, 21, 19, 16, 13, 10, 7, 4, 1, 2, 5, 8, 14, 17, 20]], [[10, 9, 8, 4, 17, 6, 5, 2, 1]], [[1, 3, 2, 5, 4, 7, 9, 8, 10]], [[4, 6, 3, 1]], [[4, 3, 2, 5, 1]], [[1, 2, 4, 10, 9, 8, 7, 6, 5]], [[2, 4, 10, 9, 8, 7, 6, 5]], [[1, 5, 4, 2, 6, 8, 7, 10]], [[1, 3, 5, 4, 2, 8, 7, 10]], [[10, 9, 8, 1, 2, 3, 4, 7, 6]], [[4, 3, 12, 2, 1]], [[19, 4, 3, 2, 1]], [[10, 9, 8, 4, 18, 6, 5, 2, 1]], [[4, 2]], [[4, 3, 2, 5]], [[4, 9, 3, 2, 5]], [[4, 2, 5, 1]], [[4, 3]], [[4, 6, 3]], [[10, 9, 8, 1, 18, 2, 3, 4, 7, 6]], [[9, 4, 2, 1]], [[4, 3, 1]], [[0, 1, 3, 2, 5, 4, 7, 9, 8, 10]], [[0, 1, 3, 2, 5, 4, 6, 7, 9, 8, 10]], [[3, 2, 1, 5]], [[1, 3, 5, 4, 0, 2, 6, 8, 7, 10]], [[0, 3, 12, 18, 2, 5, 4, 6, 7, 9, 8, 10]], [[1, 3, 5, 2, 6, 8, 7, 10]], [[4]], [[1, 3, 5, 2, 6, 8, 10]], [[1, 4, 5, 2, 6, 8, 10]], [[1, 2, 3, 10, 9, 8, 6, 5]], [[4, 3, 2, 5, 16, 1]], [[1, 3, 2, 5, 4, 7, 6, 8, 10]], [[1, 5, 4, 2, 8, 7, 10]], [[4, 3, 2, 5, 19, 1]], [[1, 0, 3, 2, 5, 4, 7, 6, 9, 8]], [[4, 2, 3, 5, 1]], [[0, 3, 12, 18, 21, 5, 4, 6, 7, 9, 11, 8, 10]], [[5, 4, 9]], [[1, 0, 5, 4, 2, 6, 8, 7, 10]], [[0, 1, "}},"37fed5e2b578690d7acd34170a275abe"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 4, 3, 5]], [[1, 2, 3]]]\n    results = [3, -1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(can_arrange)\n\n\n\nprint('___SENTINEL___')\n","6636198e2350f63b33692ea7e271bfd9"]
[{"$cut":{"chars":49830,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[2, 4, 1, 3, 5, 7]], [[2, 4, 1, 3, 5, 7, 0]], [[1, 3, 2, 4, 5, 6, -2]], [[4, 5, 3, 6, 2, 7, -7]], [[7, 3, 8, 4, 9, 2, 5, -9]], [[]], [[0]], [[-1, -3, -5, -6]], [[-1, -3, -5, -6, 0]], [[-6, -4, -4, -3, 1]], [[-6, -4, -4, -3, -100, 1]], [[9, -4, -6, 5, 0, -2]], [[1, 1, 1, 1, 1, 1]], [[-2, -2, -2, 3, 3, 3]], [[-10, 0, 10, -20, 30]], [[0, 0, 0, 0, 1, -1]], [[1, 2, 3, -3, -2, -1]], [[1, 2, 3, 4, 5]], [[-1, -2, -3, -4, -5]], [[0, -1, 2, 3, -4, 5, -6]], [[1, 3, -5, -7, 2, -4, 6]], [[-5, -10, 0, 10, -20, 30]], [[1, 1, 0, 1, 1, 1, 1]], [[0, 0, 0, 0, 1, -1, 0, -1]], [[9, -4, -6, 5, 0, -2, 9]], [[1, 2, 3, 5]], [[1, 2, 3, -3, 9, -1]], [[-10, 0, 30, 10, 30]], [[9, -4, -6, 5, 0, -6, -2, 9]], [[1, 1, 0, 1, -2, 1, 1]], [[-10, 0, 10, -7, 30]], [[-5, -10, 1, 10, 30]], [[1, 0, 1, -2, 1]], [[-10, 1, 10, 30]], [[0, 0, 0, 1, -1]], [[-1, 1, -2, 1]], [[-2, -2, 3, 3, 3]], [[3, -1, -2, -3, -4, -5]], [[1, 1, 1, 1, 1]], [[3, 10, -20, 30]], [[1, 2, 2, 5]], [[-1, 1, 1, 1]], [[2, 3, 5]], [[2, 2, 6]], [[-10, 6, 0, 30, 10, 30, 30]], [[0, 0, 0, 1, 0, 1, -1]], [[2, 5, 2]], [[0, 3, -5, -7, 2, -4, 6]], [[1, 2, 3, 3, 4, 5]], [[0, 5, -1, 2, 3, -4, 5, -6]], [[3, -1, -3, -4, -5]], [[-2, -3, -4, -5, -4]], [[0, 0, 0, 1, -1, 1]], [[1, 2, 2, 5, -5, 1]], [[1, 2, -5, 5]], [[-7, 2, -4, 5]], [[0, 0, 0, 1, -2, 0, 1, -1]], [[0, -2, 0, 1, -2, 1, 3]], [[0, -1, 3, -4, 5, -6]], [[0, 0, 0, -2]], [[1, 1, 1, 3, 6, 1, 1]], [[-10, 3, 6, 0, 30, 10, 30, -1, 30, 30]], [[3, 10, -20, -6]], [[-5, -10, 0, 10, 30, -5]], [[2, 3, 4]], [[1, 1, 2, 1, -1, 1, -6]], [[-5, -10, 6, -4, -20, -10]], [[-4, -4, -1, 3, -4, 5, -6, -4]], [[2, 5, 2, 6]], [[1, 1, 2, -5]], [[0, -7, -1, 2, 3, -4, 5, -6]], [[1, 1, 1, -1, 1, -6]], [[1, 2, 2, 5, 1, 5]], [[0, 0, 0, 1, -1, -1, 5]], [[0, -2, 0, -2, 0]], [[-4, -4, -1, 3, -4, 5, -7, -4]], [[1, 2, 1, -1, 1, -6, -1]], [[3, -3, -4, 10, -5]], [[3, 10, 30]], [[0, 0, 0, 1, 0, 1, -1, 0, -1]], [[2, 3]], [[9, -6, 5, 0, -6, -2, 9]], [[0, 0, 0, 0, 0, 1, -1, -1]], [[1, 2, -5]], [[0, 0, 0, 1, 0, -1]], [[1, 3, -5, -5, 2, -4, 6]], [[0, 0, 0, 1, -2, 0, 1, 2, -1, 0]], [[4, 3, 10, 30]], [[-1, -6, 3, 4]], [[-10, 3, 6, 0, 30, 10, 30, -1, 30, 30, 30]], [[2, 1, 3, 9, -7, 2, -4, 6]], [[3, -1, -3, -4, -5, -3]], [[3, -2, -1, -2, -3, -4, -5, -2]], [[3, 2, -2, -2, -3, -4, -6, -5, -2]], [[2, 5, 6]], [[1, 0, 1, 9, 1]], [[-1, 30, 3, 4]], [[1, 0, 1, 2, 1, -1, 1, -6]], [[-2, 3, 3, 3]], [[-4, -1, 3, -4, 5, -7, 1]], [[3, 9, 30]], [[-2, -3, -4, -5, -4, -3]], [[-1, -10, -10, 1, 10, 30, 1]], [[1, 2, 5, -5, 1]], [[0, 0, 0, 0, -5, -1]], [[1, 1, 1, -1, 1, -6, 1]], [[1, 2, 1, 1, 1, 1, 1]], [[0, -1, 2, 3, 5, -6, 5]], [[1, 2, 1, 2, 1, 1, 1]], [[0, -1, 5, -3, 7, -9, 10, -15, 20]], [[-20, 5, 10, -5, 15, 11, -8, -2, -15]], [[2, 4, 6, -8, -10, 1, -3, -5]], [[0, 0, -1, -3, -7, 2, 4, 6]], [[1, 2, 3, 4, 5, 6, 7, -2, -4, -6]], [[-10, -15, -20, 10, 5, 0]], [[0, 0, -1, 2, 1, -2, 0, 0, 2]], [[-2, -4, -6, -4, -10, -8, 0, -1]], [[1, 3, -5, 7, 9, -8, -7, -9, 5]], [[-10, -2, 0, 2, 8, 10, 15]], [[6, 1, 3, -5, 7, 9, -8, -7, -9, 5]], [[-10, -2, 0, 2, -6, 8, 10, 15]], [[0, 0, -3, -7, 2, 4, 6]], [[-10, -20, 10, 5, 0]], [[0, 0, -1, -3, -7, -2, 4, 6, -2]], [[0, 0, -1, 3, -8, 2, 1, -2, 0, 0, 2]], [[-19, 5, 10, -5, 4, 15, 11, -8, -2, -15]], [[-1, 5, -3, 7, -9, 10, -15, 20]], [[1, -5, 20, 9, -8, -7, 5]], [[0, 0, -1, -3, -7, 2, 4, -7]], [[-19, 5, 10, -5, 4, 15, 11, -8, -2, 11, -15]], [[-20, 5, 10, -5, 15, 11, -8, 14, -2, -15]], [[0, -1, 5, -3, 7, -9, 10, -15, 20, -3]], [[0, 0, -1, 3, -3, 2, 4, 6]], ["}},"3347e3a2fa312c3c422a89a17df6ff7b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[2, 4, 1, 3, 5, 7]], [[]], [[0]]]\n    results = [(None, 1), (None, None), (None, None)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(largest_smallest_integers)\n\n\n\nprint('___SENTINEL___')\n","4ddf35a98a5c103364528d2ca121a896"]
[{"$cut":{"chars":34945,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[1, 2], [1, 2.5], [2, 3], [5, 6], [1, '2,3'], ['5,1', '6'], ['1', '2'], ['1', 1], [3, 3], [-1, -1], [0, 0], [-2.5, 2.5], [10, '10.0'], ['5,000', 5000], ['7.3', 7.3], [-3, '-3.0'], ['-4,1', '-4.0'], [-2.0, 3], [1, 0], ['77.3', '7.3'], [10, 0], [-1.0425166390148266, -1.123543564552395], ['5,000', 4999], ['773.3', '7.3'], [1, -1], ['7.3', -2.5], [5000, 0], [4999, 5000], [4999, -1], ['7.3', -2.0], [-1, 10], ['7.30', '-3.0'], [10, '77.3'], [5001, 0], [5000, 5001], [5000, 5000], [0, 5001], [-2.0, 2.5], [10, -1], ['5,0050', 10], [11, 10], ['7.3', '7.3'], [-1, -3], [10, 10], [10, '1.0'], [0, 4999], ['5,000', '5,000'], [4999, 5001], ['773.3', 5000], [5000, 3], [2, 1], ['5,000', '05,000'], [0, -1], [3, 0], [3, -1], [-1, '77.3'], [1, 5001], [5001, -3], [1.496091849454374, 2.5], [-2.0, 2], [-1, -2], [-3, 2], [-1.0425166390148266, -1.0425166390148266], [9, 10], [5002, -3], [1, 1], [1.496091849454374, 2], [4999, 1], [1, 9], [-3, -3], [0, 1], [-3, -2], ['11.0', '1.0'], ['7.3', '-4,1'], [10, 5000], [5002, 5000], [-3, 5000], [7.3, 7.3], ['7.3', 1.496091849454374], [-2.0, 5002], [41, 40], ['-4.0', '-4.0'], [2.5, 5002], [4999, 4999], [1, -2], [-1.123543564552395, 2.5], [9, '77.3'], [41, -2], [5000, 2], [9, '10.0'], [-1.123543564552395, 3], [-2.0, -2.0], [5002, '77.3'], [10, 5002], [1, 10], [11, 0], [5000, 4998], [1.496091849454374, -1.0425166390148266], [-2, 4999], ['7.33', '7.3'], [-2, 2], ['-4,1', '7.3'], [10, '-4,1'], [40, -2], [11, 11], ['05,000', '1.0'], ['11.0', '77.3'], [-3, 3.14], [-9.876, '-9.123'], ['-8,9', -7.654], ['1.23', '1,45'], ['-6.7', '6.7'], ['3', '3.0'], ['-2', '-2.0'], ['0', 0], [1, '1.00000001'], ['1.25', '1,250'], ['1,45', '1.25'], ['15,415', '1,45'], ['3', '1.25'], ['6.7', '1.25'], ['1,45', '1.225'], ['1.25', '1.25'], ['1,45', 0], ['0', '1.25'], ['1.25', '6.7'], ['00', 0], ['15.25', '1.25'], [-7.915238266264661, -7.654], ['7', '1.25'], [1, -3], ['1', '1.125'], [1, '1,45'], ['3,415', '41,45'], [-8.74973784205587, -9.876], ['-9.123', '-9.123'], ['-9.12', '-9.123'], ['1.205', '1.25'], ['3', '15.25'], [-3, -7.915238266264661], ['-2.0', '1.25'], ['00', '00'], ['3', '1.205'], ['1.225', '1.225'], ['-8,9', '00'], ['1.23', '1.225'], ['15.25', '15.25'], ['3', '1.215'], ['6.7', '-15,4159'], ['1,250', '1.2'], ['3.0', '-2.0'], ['16.7', '16.7'], ['15,415', '1'], ['41,45', '41,45'], [-2, -3], [2.767386384178415, 3.14], ['41,45', '4,45'], ['145', '145'], ['-6.7', '-2.0'], [-7.654, -7.014581866391794], ['00', '1.25'], [-8.74973784205587, -8.74973784205587], ['1.23', '16.7'], ['1,45', '1,45'], ['0', '1,45'], ['1,45', '1,4'], ['1,45', '1,'], ['33', '1.25'], ['00', -1], [-12.967215344684003, -4.51094653769451], ['1.20', '33.0'], ['1.23', '-6.7'], ['1.23', '1.125'], ['1.215', '1.215'], ['1', '15,415'], ['1.25', '6337'], ['-.123', '-.123'], ['0', -1], ['1.25', '63371.25'], ['1.23', '1.1'], ['0', '0'], ['33.0', '1.215'], ['1', '1.225'], ['1.0205', '1.25'], ['0', -2], ['415', '41,45'], [-12.774935986016603, -12.967215344684003], ['.0', '-2.0'], ['1.1', '1.25'], ['1.23', '1.23'], ['000', '1,'], ['415', '415'], ['2151,250', '1.2155'], [-2, -1], [-7.915238266264661, -7.014581866391794], ['3', '3'], ['-9.12', '415'], ['1.20', '1.25'], [-12.774935986016603, -12.774935986016603], [34, -2], ['-2.000', '-2.0'], ['41,45', '6.7'], ['11.23', '1.225'], ['-9.12', '1.1'], ['1,250', '1,250'], ['1.2', '-9.1'], ['1.1', '33'], ['-6.7', '1.23'], ['63371.25', '-2'], ['115.25', '15.25'], ['1,45', '0'], ['1,4', '1,45'], [-3, 34],"}},"e10a1e68eebebc7062a4bae6734fcafb"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[1, 2.5], [1, '2,3'], ['5,1', '6'], ['1', 1]]\n    results = [2.5, '2,3', '6', None]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(compare_one)\n\n\n\nprint('___SENTINEL___')\n","02b72f52902d4c0aeab43c438c22b528"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[4], [6], [8], [10], [11], [12], [13], [16], [20], [22], [24], [30], [36], [40], [42], [48], [50], [28], [41], [21], [39], [23], [25], [35], [19], [49], [51], [52], [47], [37], [34], [-79], [29], [53], [57], [56], [-2], [0], [2], [5], [9], [15], [27], [100], [105], [-3], [76], [101], [98], [3], [97], [7], [1], [99], [-50], [102], [-71], [-1], [-72], [-27], [104], [96], [-26], [-39], [-55], [-29], [-66], [14], [-42], [77], [-38], [-30], [-25], [-34], [78], [103], [-65], [-49], [-18], [-7], [75], [-37], [-73], [-51], [106], [64], [-52], [-8], [-6], [-10], [107], [26], [18], [108], [109], [17], [110], [31], [-98], [-87], [-5], [-40], [-88], [-4], [55], [-86], [32], [54], [-68], [-90], [-91], [-78], [-80]]\n    results = [False, False, True, True, False, True, False, True, True, True, True, True, True, True, True, True, True, True, False, False, False, False, False, False, False, False, False, True, False, False, True, False, False, False, False, True, False, False, False, False, False, False, False, True, False, False, True, False, True, False, False, False, False, False, False, True, False, False, False, False, True, True, False, False, False, False, False, True, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, True, True, False, False, False, False, False, True, True, True, False, False, True, False, False, False, False, False, False, False, False, False, True, True, False, False, False, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_equal_to_sum_even)\n\n\nprint('___SENTINEL___')\n","645d590f39894c0a111800c1e21f4004"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[4], [6], [8]]\n    results = [False, False, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(is_equal_to_sum_even)\n\n\n\nprint('___SENTINEL___')\n","29d56fd24e8d2fdd257deb410f015d0a"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef ref_func(n):\n\n\n    fac, ans = 1, 1\n    for i in range(2, n + 1):\n        fac *= i\n        ans *= fac\n    return ans\n\n\n\ndef check(candidate):\n    inputs = [[4], [5], [7], [1], [2], [3], [6], [8], [10], [13], [20], [50], [15], [12], [11], [22], [14], [9], [21], [51], [30], [29], [32], [49], [77], [52], [23], [48], [19], [33], [16], [53], [27], [34], [35], [17], [28], [26], [47], [74], [24], [36], [95], [18], [31], [45], [37], [38], [46], [78], [39], [73], [75], [79], [80], [72], [81], [25], [76], [96], [44], [94], [40], [43], [93], [71], [42], [83], [41], [70], [97], [84], [54], [85], [92], [91], [55], [82], [69], [98], [86], [56], [99], [57], [100], [101], [58], [87], [68], [62], [59], [102], [103], [60], [88], [67], [66], [104], [63], [200], [500], [199], [198], [499], [197], [497], [501], [498], [502], [496], [201], [503], [495], [493], [196], [492], [195], [202], [504], [505], [203], [491], [204], [105], [90], [494], [89]]\n    for i, inp in enumerate(inputs):\n        assertion(candidate(*inp), ref_func(*inp), 0)\n\ncheck(special_factorial)\n\n\nprint('___SENTINEL___')\n","0edf62f053984d160a79cf53a819ee70"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[4]]\n    results = [288]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(special_factorial)\n\n\n\nprint('___SENTINEL___')\n","3039ee983a576092e83550cf94de4436"]
[{"$cut":{"chars":65179,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Example'], ['Mudasir Hanif '], ['Yellow Yellow  Dirty  Fellow'], ['Exa   mple'], ['   Exa 1 2 2 mple'], ['Hello,   world!'], ['happy 123'], ['Hey    there!'], ['  spaces  every  where  '], ['NoSpacesHere'], ['This is  a  test'], ['Testing     1  2   3'], ['Hello World'], ['Hello   World'], ['   Hello World'], ['This is  a  tesst'], ['This is  a  tes'], ['This is  a This is  a  tes test'], ['Hello r  World'], ['This is  a Hello r  World tsesst'], ['This is  a This is  a  tes test  spaceNoSpacesHere '], ['Thish is  a  tesst'], ['HelloNoSpacesHere,   world!'], ['Hey   e there!'], ['  spaces  eveThis is  a This This is  a This is  a  tes test  spaceNoSpacesHere is  a  tes testry  where  '], ['happy 123  spaces  every  where  '], ['  spaces  eveThis is  a This  This is  a This ishappy 123  a  tes test  spaceNoSpacesHere is  a  tes testry  where  '], ['Hello r  Word'], ['This is  a sst'], ['  spaces  eveThis is  a This This is  a This is  a  tes test  spaceNoSpacesHello r  WorldHere is  a  tes testry  where  '], ['  spaces  eveery  where  '], ['happy1233'], ['  spaces  eveThis is  a This This is  a This is  a  tes test  spaceNoSpacesHeNoSpacesHerello r  WorldHere is  a  tes testry  where  '], ['happy 123 p spaces  every  where  '], ['  spaces  eveThis is  a This This is  a This is  tes testry  where  '], ['Thish isThis is  a Hello r  World tsTesting     1  2   3 a  This is  a ssttesst'], ['Helleo World'], ['happyw 123 p spacees  every  where  '], ['Thish is  a  tesHey    there!st'], ['happyw 123 p spacees  This is  a sstevery  wher  '], ['  spaces  every  w here  '], ['Th is is  a This is  a  tes test'], ['This is   a This is  a  tes test  spacoeNoSpacesHere '], ['  spaces  eveThis is  a This  This is  a This is happy 123  a  tes test  spaceNoSpacesHere is  a  tes testry  where  '], ['Thihappyw 123 p spacees  This is  a sstevery  wher  s is  a Hello r  Woreld tsesst'], ['  spaces  eveThis is  a This This is  a This is  a  tes test  spaceNoSpacesHtry  where  '], ['happThis is  a  tessty'], ['This is  a T  spaces  eveThisTh is is  a This is  a  tes test is  a This  This is  a This ishappy 123  a  tes test  spaceNoSpacesHere is  a  tes testry  where  his is  a  tes test'], ['This is Thish is  a  tesHey    there!st a This is  a  tes test  spaceNoSpacesHere '], ['Thish is  asst'], ['  spaces  everThis is  a This is  a  tes testy  where  '], ['This is  This is  a T  spaces  eveThisTh is is  a This is  a  tes test is  a This  This is  a This ishappy 123  a  tes test  spaceNoSpacesHere is  a  tes testry  where  his is  a  tes testa  tes'], ['  spaces  eveThis tis  a This This is  a This is  a  tes test  spaceNoSpacesHere is  a  tes testry  where  '], ['  spaces  eveThis is  a This This is  a This is  a  tes test  spaceNoSpacesHello r   WorldHere is  a  tes testry  where  '], [' happyw 123 p spacees  every  where  '], ['happyw 123 p spacees  This is  a sstevery  whser  '], ['  spaces  eveThis is  a This This is  a This is  a This is  a  tes test  spaceNoSpacesHere This is  tes testry  where  '], ['haappy1233'], ['Testing   Hey   e there!  1  2   3'], ['Hello r   spaces  eveThis is  a This This is  a This is  a  tes test  spaceNoSpacesHello r   WorldHere is  a  tes testry  where   Word'], ['Testing   s  1  2   3'], ['Th is is  a This is  a  tes teHello,   world!st'], [''], ['ThThis is  a Hello r  World tsesstis is  a sst'], ['This is  This is  a T  spaces  eveThisThh is is  a This is  a  tes test is  a "}},"bfe0bf76ae54b3ccdf616f709f74a413"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Example'], ['Example 1'], [' Example 2'], [' Example   3']]\n    results = ['Example', 'Example_1', '_Example_2', '_Example-3']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(fix_spaces)\n\n\n\nprint('___SENTINEL___')\n","ab8eac8b9d320d01494ff6d422d61a92"]
[{"$cut":{"chars":91061,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['example.txt'], ['1example.dll'], ['s1sdf3.asd'], ['K.dll'], ['MY16FILE3.exe'], ['His12FILE94.exe'], ['_Y.txt'], ['?aREYA.exe'], ['/this_is_valid.dll'], ['this_is_valid.wow'], ['this_is_valid.txt'], ['this_is_valid.txtexe'], ['#this2_i4s_5valid.ten'], ['@this1_is6_valid.exe'], ['this_is_12valid.6exe4.txt'], ['all.exe.txt'], ['I563_No.exe'], ['Is3youfault.txt'], ['no_one#knows.dll'], ['1I563_Yes3.exe'], ['I563_Yes3.txtt'], ['final..txt'], ['final132'], ['_f4indsartal132.'], ['.txt'], ['s.'], ['example.py'], ['my.docx'], ['hello world.exe'], ['alice.123.txt'], ['abc123def.exe'], ['1script.bat'], ['validfile.txt'], ['.exe'], ['123.txt'], ['file.doc'], ['.ex'], ['heello world.exe'], ['ffile.docile.doc'], ['.exalice.12123.txt3.xtxte'], ['.exalice.123.txt'], ['.exmy.docx'], ['fle.doc'], ['1script.batt'], ['.exalic1script.bate.123.txt'], ['.exalice.123..exalice.123.tx.t'], ['my.dcx'], ['.exmy.docx.exe'], ['..ex'], ['abc123defexe'], ['hello world.exe.exmy.docx.exe'], ['alice.123.taxt.i.ex'], ['abcheello world.exe123defexe'], ['heell.exalice.12123.txt3.xtxteo world.exe'], ['.exalice.12123.ex.txt3.xtxt.e'], ['filc'], ['.eex'], ['alice.123.i.ex'], ['.e.ex'], ['.exal.123.txt'], ['123.ttxt'], ['.efile.doc.ex'], ['1script.ba.exet'], ['alice.123.i.1script.batex'], ['.exali123.ttxtc1script.bate.123.txt'], ['alice.123.i.exalice.123.txt'], ['hello world1script.bat.exe.exmy.docx.exe'], ['alice.exali123.ttxtc1script.bate.123.txt.123.i.ex'], ['.efile.dex'], ['alice.l12l3.i.exalice.123.txt'], ['.efil.exal.123.txte.dex'], ['validftile.txt'], ['1script.ba.eexert'], ['hello world1script.bat.exe.exmy.docx.exealice.12i.ex'], ['.exmy.docx.efil.exal.123.txte.dex.exe'], ['hehello world.exe.exmy.docx.exello world.exe'], ['1script.ba.xet'], ['.exali123.ttxtc1script.bate.123.tx.efil.exal.123.txte.dext'], ['.exali123.ttxtc1script.bate.123.tx.efil.exal.123.txte.defile.docxt'], ['FX'], ['.heello world.exeexalice.123..exalice.123.tx.t'], ['alice.123.i.exalice..123.txt'], ['file.dolc'], ['hehello world.exe.exmy.docx.exelwlo world.exe'], ['.exalict1script.bate.123.txt'], ['....ex'], ['validfilve.txtFX'], ['.exali123.ttxtc1script.bate.123.tx.efil.exal.123.txte.dex.exm1y.docxt'], ['....e.eexx'], ['mhello world.exe.exmy.docx.exey.dcx'], ['valfile.txit'], ['alicealice.exali123.ttxtc1script.bate.123.txt.123.i.ex.l12l3.i.exalice.123.txt'], ['.eex1script.ba.exet'], ['alice.l12validfile.txtl3.i.exalice.123.txt'], ['1.txt'], ['...ex'], ['.eeex'], ['.exmy.docx.FXexe'], ['.exali123.ttxtc1sc..exript.bate.123.tx.efil.exal.123.txte.dext'], ['hello worl.d.exe'], ['....e.eeheell.exalice.12123.txt3.xtxteo world.exe'], ['abcheelrld.exe123defexe'], ['alice.l12validfile.txtlalice.exali123.ttxtc1script.bate.123.txt.123.i.ex3.i.exalice.123.txt'], ['.exali123.ttxtc1scriptt.bate.123.txt'], ['.heello world.exheell.exalice.12123.txt3.xtxteo world.exeeexalice.123..exalice.123.tx.t'], ['.exalice.12121232d.efexexte'], ['.exalice.l12validfile.txtl3.i.exalice.123.txtal.123.txt'], ['.exalice.l12validfile.txtl3.i.my.docx'], ['.exhello worl.d.exealic1script.batFXe.12.txt'], ['.exmya.docx.efil.emy.docxxal.123.txte.dex.exe'], ['.exali123c.ttxtc1script.bate.123.txt'], ['.exali123alice.exali123.ttxtc1script.bate.123.txt.123.i.exc.ttxabc123defexetc1script.bate.123.txt'], ['alice.l12validflile.txtl3.i.exalice.123.ttxt'], ['1script.batt.exalic1script.bate.123.t'], ['.e.exali123.ttxtc1script.bate.123.tx.efil.exal.123.txte.dextfile.doc.ex'], ['.exalice.12123.txxtxte'],"}},"2a829a04c6b5be6f50124b61713a272d"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['example.txt'], ['1example.dll']]\n    results = ['Yes', 'No']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(file_name_check)\n\n\n\nprint('___SENTINEL___')\n","9d47d7cf35251eb30e3110bc4977ae5c"]
[{"$cut":{"chars":86129,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[1, 4, 9]], [[]], [[1, 1, 1, 1, 1, 1, 1, 1, 1]], [[-1, -1, -1, -1, -1, -1, -1, -1, -1]], [[0]], [[-1, -5, 2, -1, -5]], [[-56, -99, 1, 0, -2]], [[-1, 0, 0, 0, 0, 0, 0, 0, -1]], [[-16, -9, -2, 36, 36, 26, -20, 25, -40, 20, -4, 12, -26, 35, 37]], [[-1, -3, 17, -1, -15, 13, -1, 14, -14, -12, -5, 14, -14, 6, 13, 11, 16, 16, 4, 10]], [[2, 4, 6, 8, 10, 12]], [[0, 0, 0, 0, 0, 1, 0, 0, 0, 0]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]], [[3, 6, 9, 12, 15, 18, 21, 24, 27]], [[-2, 5, -6, 7, -8]], [[2, 4, 6, 8, 10, 12, 14, 16, 18, 20]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10]], [[3, 6, 9, 12, 15, 18, 21, 24, 27, 30]], [[0, 1, 0, 1, 0, 1, 0, 1, 0, 1]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -8]], [[3, 6, 9, 12, 6, 19, 18, 21, 24, 27]], [[1, -2, 3, -4, 5, -6, 7, -8, 6, 9, -10]], [[3, 9, 12, 5, 19, 18, 2, 21, 24, 27]], [[3, 3, 6, 12, 15, 18, 21, 24, 27]], [[3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 21]], [[0, 0, 0, 0, 0, 0, 0, 0, 0]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -8, 5]], [[3, 6, 9, 12, 18, 21, 24, 27]], [[6, 18, 12, 15, 18, 21, 24, 27, 30]], [[2, 4, 6, 8, 10, 12, 10, 10]], [[3, 6, 9, 12, 18, 21, 24, 28]], [[1, -2, 3, -4, 5, -6, -8, 6, -10]], [[3, 3, -8, 6, 12, 15, 18, 21, 24, 27]], [[3, 6, 9, 22, 12, 18, 21, 24]], [[0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0]], [[0, 0, 0, 0, 3, 0, 0, 0, 0, 0]], [[3, 9, 12, 5, 19, 18, 2, 21, 24]], [[1, -2, 3, -4, 5, -6, -9, 7, -8, 9, -10, -8]], [[3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 21, 24]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[3, 6, 9, 12, 15, 21, 24, 27, 30]], [[1, -2, 4, -4, 5, -6, 7, 18, 9, -10, -8, 5]], [[3, 6, 9, 12, 15, 18, 21, 24, 27, 12]], [[3, 6, 9, 22, 12, 18, 21, 25]], [[1, -2, 2, -4, 5, -6, 7, -8, 9, -10, -8]], [[2, 4, 6, 10, 12, 10, 10]], [[3, 6, 14, 10, 15, 21, 24, 27, 23, 30]], [[1, -2, 2, -2, 5, -6, 7, -8, 9, -10, -8]], [[1, -2, 3, -4, 5, -6, -9, 7, -8, 9, 7, -8]], [[1, -2, 3, -4, -6, 7, -8, 9, -10, -8, 5]], [[6, 9, 12, 15, 18, 21, 24, 27, 12]], [[7, 1, -2, 3, -4, -6, 7, -8, 9, -10, 5]], [[23, 6, 8, 10, 12, 10, 10]], [[1, -2, 4, -4, 5, -6, 7, 18, 9, 0, -8, 5]], [[0, 0, 0, 0, 3, 0, 0, 8, 0, 0]], [[9, 12, 15, 18, 21, 24, 27, 12]], [[21, 6, 22, 12, 18, 21, 12, 24]], [[0, 0, 0, 0, 3, 0, 23, 0, 8, 0, -1, 0]], [[3, 3, 6, 12, 15, 18, 21, 27]], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [[2, 30, 6, 9, 12, 18, 21, 24, 28, 28]], [[0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0]], [[2, 30, 6, 12, 18, 21, 24, 0, 28]], [[1, 19, 3, -4, -6, 7, -8, 9, -10, -8, 5]], [[0, 0, 0, 3, 0, 0, 0]], [[1, -2, 3, -4, 5, -6, -9, 7, -8, 9, 7, -8, -6]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -8, 3]], [[3, 6, 9, 12, -6, 15, 18, 21, 24, 27]], [[0, 0, 0, 3, 14, 0, 0, 3]], [[2, 30, 6, 13, 18, 21, 24, 0, 28]], [[3, 6, 12, 15, 18, 21, 24, 27, 30, 21]], [[9, 14, 15, 18, 21, 24, 27, 12]], [[-2, 5, -6, -6, 7, -8, -6]], [[1, 2, -2, 3, 5, -7, 7, -8, 1, 9, -10, -8, 3, 5]], [[1, -2, 4, -4, 5, -6, 7, 18, 9, 0, 5]], [[1, -2, 3, -4, 5, -6, 7, -8, 21, -10, -8, 3]], [[2, 30, 6, 13, 18, 20, 24, 0, 28]], [[3, 6, 9, 12, 18, 16, 21, 24, 28]], [[1, -2, 3, -4, 5, -6, 7, -8, 9, -10, -7, 5]], [[2, 4, 6, 8, 10, 12, 14, 16, 20]], [[0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0]], [[30, 6, 13, 18, 21, 24, 0, 28]], [[2, 30, 6, 12, 18, 21, 24, 28]], [[0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0]], [[0, 0, 0, 3, 14, 24, 19, 0, 0, 3]], [[0, 0, 0, 27, 3, 0, 23, 0, 8, 0, -1, 0]], [[1, -2, 3, -4, 5, -6, -9, 7, -8, 9, 7, -8, -6, 3]], [[3, 6, 9, 8, 12, 15, 18, 21, 24, 30, 21]], [[3,"}},"2a30673750ebf0bedaff3398a82900ec"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3]], [[]], [[-1, -5, 2, -1, -5]]]\n    results = [6, 0, -126]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sum_squares)\n\n\n\nprint('___SENTINEL___')\n","b9c8d9bfee9d0b4377b30ebb0a90881f"]
[{"$cut":{"chars":50653,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['This is a test'], ['lets go for swimming'], ['there is no place available here'], ['Hi I am Hussein'], ['go for it'], ['here'], ['here is'], ['cats and dogs'], ['I am a developer'], ['elephants are huge'], ['the quick brown fox jumps over the lazy dog'], ['this code challenge is tricky'], ['Python programming is fun'], ['mathematics can be easy'], ['writing clean code is important'], ['I love eating pizza'], ['quick sort algorithm is efficient'], ['I am a dquick sort algorithm is efficienteveloper'], ['mathematics can be eacsy'], ['eleephants are huge'], ['Python programmingg is fun'], ['this code schallenge is tricky'], ['this code mathematics can be eacsychalleI love eating pizzangge is tricky'], ['I athe quick brown fox jumps over the lazy dogm a developer'], ['Io love eaI love eating pizzaquick sort algorithm is efficientting pizza'], ['this acode mathematics can be eacsychalleI love eating pizzangge is tricky'], ['Io love eaI love eating pizort algorithm is efficientting pizza'], ['I athe qurown fox jumps over the lazy dogm a developer'], ['quick sort algoritI love eating pizzahm is efficient'], ['this code challenge is triycky'], ['I am a dquick sort algorithm isp efficientevelope r'], ['eleepnhantselephanpts are huge are huge'], ['I am a deper'], ['Pyththe quick brown fox jumps over the lazy dogon programming is fun'], ['this code schayllenge is tricky'], ['thse quick brown fox jumps over the lazy dog'], ['I am a dquick sort algorithm is efficientthis code challenge is triyqckyeveloper'], ['quick soithm is efficient'], ['eleepnhantselepmathematics can be easyhanpts are huge are huge'], ['quick sort algoritI love eaating pizzahm is efficient'], ['elephants are hugeIo love eaI love eating pizort algorithm is efficientting pizza'], ['this code schayllI am a dquick sort algorithm is efficienteveloperenge is tricky'], ['quick sort algorithm iselephants are hugeIo love eaI love eating pizort icient'], ['thse q the lazy dog'], ['I am a deveoper'], ['I athe qurown fox jumps over the lazy dogm a developethse q the lazy dog'], ['this code e is tricky'], ['mahthematics can be easy'], ['I athe quick brown fox jumpthis code e is trickys over the lazy dogm a ddeveloper'], ['Io love eaI love eting pizort algorithm is efficientting pizza'], ['I am a deveopthis code mathematics can be eacsychalleI love eating pizzangge is trickyer'], ['I am ad deveoper'], ['mahthematics can be e asy'], ['Pythothis code mathematics can be eacsychalleI love eating pizzangge is trickyprogrammingg is fun'], ['quick soithmc ihs efficient'], ['I Io love eaI love eating pizort aligorithm is effIicientting pizzaeloper'], ['I am a dquick sort algorithm is efficienteveloperr'], ['I am a dquick sort algorithm is efficienttehis code challenge is triyqckyeveloper'], ['quick sort algoritI love eating pizzahm ist'], ['mahthematics can bI athe qurown fox jumps over the lazy dogm a developethse q the lazy dog asy'], ['Pyththe quick brown fox jumps over the lazy dogon proeleephants are hugegramming is fun'], ['I am a develthis code schayllI am a dquick sort algorithm is efficienteveloperenge is trickyoper'], ['quick sort algoritI love this code schallenge is trickyeating pizzahm is efficient'], ['writing clean code iis rimportant'], ['qu ick sort algoritI love eaating pizzahm is efficzient'], ['qu ick sort algoritI love eaating pizzvahm is efficzient'], ['thisI am a dquick sort algorithm is efficienteveloperchayllenge is tricky'], "}},"fc7628d4d5b78eb38f7b3c8efa5824be"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['This is a test'], ['lets go for swimming']]\n    results = ['is', 'go for']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(words_in_sentence)\n\n\n\nprint('___SENTINEL___')\n","98627808d687c0b6506bd3fc56c8f804"]
[{"$cut":{"chars":31487,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['1/5', '5/1'], ['1/6', '2/1'], ['5/1', '3/1'], ['7/10', '10/2'], ['2/10', '50/10'], ['7/2', '4/2'], ['11/6', '6/1'], ['2/3', '5/2'], ['5/2', '3/5'], ['2/4', '8/4'], ['2/4', '4/2'], ['1/5', '1/5'], ['3/4', '4/3'], ['6/8', '3/4'], ['1/6', '6/1'], ['2/3', '3/2'], ['9/12', '12/9'], ['15/17', '17/15'], ['8/11', '11/8'], ['13/19', '19/13'], ['20/25', '25/20'], ['3/8', '8/3'], ['17/15', '15/117'], ['12/9', '17/15'], ['6/8', '33/4'], ['12/9', '112/9'], ['616/6', '6/1'], ['12/9', '12/9'], ['205/25', '20/25'], ['98/3', '19/13'], ['12/9', '13/19'], ['9/12', '9/12'], ['3/2', '2/3'], ['13/19', '17/15'], ['133/19', '13/19'], ['3/2', '3/2'], ['119/13', '119/13'], ['205/25', '112/9'], ['2/3', '2/3'], ['1319/13', '119/13'], ['119/13', '1319/13'], ['133/19', '616/6'], ['8/3', '3/8'], ['4/3', '19/13'], ['15/17', '3/2'], ['1112/9', '112/9'], ['225/20', '19/13'], ['119/1', '119/1'], ['23/2', '3/2'], ['68/8', '33/4'], ['13/199', '13/19'], ['2055/25', '112/9'], ['33/4', '33/4'], ['8/3', '33/2'], ['4/3', '17/15'], ['15/117', '15/117'], ['6/1', '17/15'], ['3/19', '13/19'], ['133/19', '133/19'], ['3/88', '3/8'], ['3/8', '83/3'], ['15/17', '112/9'], ['20/25', '112/9'], ['112/9', '205/225'], ['2055/25', '205/25'], ['133/19', '19/13'], ['15/117', '3/2'], ['19/13', '19/13'], ['6/8', '3/88'], ['933/4', '9/12'], ['13/1999', '13/19'], ['19/13', '19/3'], ['8/1', '8/11'], ['23/2', '616/6'], ['17/15', '15/1117'], ['15/117', '17/15'], ['119/1', '4/3'], ['8/811', '11/8'], ['33/44', '33/44'], ['1119/1', '119/1'], ['17/15', '6/8'], ['33/4', '33/34'], ['1112/9', '1112/9'], ['13/19', '3/119'], ['2/3', '22/3'], ['1/6', '1/6'], ['8/3', '8/3'], ['2225/20', '2225/20'], ['2055/25', '22/3'], ['25/20', '1199/1'], ['13/1999', '12/9'], ['119/13', '1119/13'], ['1333/19', '133/19'], ['3/88', '33/8'], ['1119/1', '4/3'], ['13/19', '13/19'], ['3/888', '3/888'], ['15/1117', '15/117'], ['13/199', '17/15'], ['33/34', '3/22'], ['3/119', '13/19'], ['13/1999', '13/1999'], ['1119/1', '1119/1'], ['61612/9', '6/6'], ['3/4', '8/3'], ['1199/1', '1199/1'], ['199/13', '19/313'], ['19/3', '19/13'], ['1119/13', '1119/13'], ['1333/19', '133/1'], ['1333/19', '1333/19'], ['25/20', '8/3'], ['2/3', '8/13'], ['23/52', '16/17'], ['11/7', '13/77'], ['99/100', '11/9'], ['3/8', '7/25'], ['467/736', '453/384'], ['37/55', '176/9'], ['597/275', '380/241'], ['943/29', '163/58'], ['857/291', '921/739'], ['468/136', '453/384'], ['3/8', '3/8'], ['921/739', '921/739'], ['111/7', '13/77'], ['7/25', '7/25'], ['467/736', '857/291'], ['176/17', '8/13'], ['453/384', '453/384'], ['176/17', '3/8'], ['163/58', '857/291'], ['943/29', '453/384'], ['5597/275775', '380/241'], ['23/52', '23/52'], ['11/9', '453/384'], ['467/736', '11/9'], ['467/736', '467/736'], ['467/736', '5597/275775'], ['4553/384', '453/384'], ['5597/275775', '163/58'], ['857/29', '921/739'], ['11/9', '176/17'], ['11/9', '5597/275775'], ['3/8', '13/77'], ['111/7', '176/669'], ['11/9', '176/9'], ['467/7636', '467/7636'], ['5597/2757775', '163/58'], ['9231/739', '921/739'], ['6467/736', '468/136'], ['5597/2757775', '176/669'], ['111/7', '111/7'], ['11/9', '453/3384'], ['3/8', '943/29'], ['11/7', '943/29'], ['11/99', '453/3384'], ['163/58', '163/58'], ['380/241', '380/241'], ['453/384', '1111/7'], ['1111/7', '11/7'], ['9943/29', '163/58'], ['4553/384', '453/38'], ['111/7', '468/136'], ['23/52', '380/241'], ['11/7', '11/7'], ['857/291', '857/291'], ['11/99', '4453/3844'], ['453/384', '7/25'], ['453/3384', '163/58'], ['176/"}},"7efef92e93a5b0298f436564b5e8e3e0"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['1/5', '5/1'], ['1/6', '2/1'], ['7/10', '10/2']]\n    results = [True, False, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(simplify)\n\n\n\nprint('___SENTINEL___')\n","819876c9c75f5758428382514a74cc56"]
[{"$cut":{"chars":159126,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 11, -1, -11, -12]], [[1234, 423, 463, 145, 2, 423, 423, 53, 6, 37, 3457, 3, 56, 0, 46]], [[]], [[1, -11, -32, 43, 54, -98, 2, -3]], [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]], [[0, 6, 6, -76, -21, 23, 4]], [[1, 2, 3]], [[-5, -12, 9, 15]], [[1111, 2222, 3333, 4444]], [[951, -753, 824, -444, 555]], [[-1000, -99, 0, 99, 1000]], [[100, 20, 300, 4, 5, 60000]], [[10, 20, 50, -100, -200, -500]], [[27, -54, 63, -72, 81, -90]], [[888, -777, 666, -555, 444, -333, 222, -111]], [[0, 0, 0, -1, -10, 1, 10]], [[100, 20, 300, 4, 5, 60000, 20]], [[888, -777, 666, -555, 444, -333, 222, -111, -111]], [[-5, -12, 9, 15, 15]], [[0, 0, -1, -10, 1, 10]], [[10, 20, 50, -100, -200, -500, 10]], [[4444, -5, -12, 9, 15, 15]], [[1, 2, 3, 1, 1]], [[1000, -12, 10, 9, 15]], [[888, -777, 666, -555, -333, 222, -111, -111]], [[888, -777, 666, -555, 444, -333, 222, -111, -111, 888, -111]], [[1111, 4444]], [[667, 888, -777, 666, -555, 444, -333, 222, -111]], [[4444, -54, -5, -12, 9, 15, 15]], [[-1000, 0, 99, 1000, -1000]], [[-753, 824, -444, 222, 824]], [[10, 20, -100, -200, -500]], [[4444, -777, -54, -5, -12, 9, 15, 15]], [[4444, -5, 63]], [[0, 1, 0, -1, 1, 10]], [[10, 20, -100, -200]], [[667, -777, 666, -555, 444, -333, 222, -111]], [[0, 0, -1, 1, 10]], [[0, 0, -1, 1, 10, 1]], [[4444, -5, 63, 4444]], [[-5, 9, 15]], [[1111, 2222, 3333, 4444, 3333]], [[667, 888, -777, 666, -555, 444, 63, 222, -111]], [[0, -90, 0, -1, 1, 10]], [[-12, -1, 1, 10]], [[888, -777, 666, -555, 444, -333, 222, -1000, -111, -555]], [[-753, 824, -444, 824]], [[888, -777, 666, -555, 444, -334, 222, -111, -111, 888, -111]], [[-72, -777, 666, -99, 444, -333, -111]], [[100, 20, 299, 4, 5, 6, 60000, 20, 299]], [[667, 888, -777, 666, -555, 1, 444, 63, 222, -555]], [[-72, -777, 666, 444, -333, -111]], [[888, -777, -555, 444, -333, 222, -111, -111]], [[4444]], [[20, -100, -200]], [[1, 2, 1, 1, 1]], [[10, 20, -100, -199, -200]], [[-12, -5, -12, 9, 15]], [[1, 2, 3, 2, 1]], [[0, 1, 0, -1, 1, 10, 10]], [[-5, -12, 9, 15, 15, -12]], [[1, 2, 3, 1]], [[0, 1, 0, -1, 10, -1]], [[10, 20, 951, -199, -200]], [[10, 20, 60000, 951, -199]], [[4444, -5, -12, 9, 6, 15, 15]], [[667, -777, 666, -555, 444, -333, 222, -111, -555]], [[-72, -777, 666, -100, 444, -333, -111]], [[63, -5, 63, 4444]], [[667, -777, 666, -555, 444, -333, 222, 6, -111]], [[27, -89, -54, 63, -72, 81, -90, 63]], [[-1000, -99, 0, 99, 1000, 0]], [[4444, -5, 62]], [[10, 20, 50, -100, -501, -200, -500]], [[667, -777, 666, -555, 4, -333, 222, -111]], [[-72, -777, 666, -99, 444, -333, -111, 444]], [[27, -89, -54, 63, -72, 667, -90, 63]], [[4444, 4444, -5, 63]], [[4444, -5, -12, 9, 6, 15, 15, 15, 4444]], [[1, 2, 3, 1, 1, 1]], [[27, -89, -54, 63, 667, -90, -1000]], [[10, 20, -100, -99, -199, -500]], [[667, 888, -777, 666, -72, -555, 444, 63, 555, 222, -111]], [[10, 20, -199, -200]], [[0, 0, -72, -1, 1, 10, 10, 1]], [[0, 0, 0, 0, -1, -10, 1, 10]], [[667, -777, -555, -554, 444, -333, 222, -111, -555]], [[4444, -5, -12, 9, -199, 15]], [[0, 0, -1, 10, 1]], [[-100, -200, -200]], [[0, 0, 0, -1, -10, -72, 1, 10]], [[667, 888, -777, 666, -72, -555, 444, 63, 555, 222, -111, 888]], [[-72, -777, 666, -99, 444, -333, -111, 444, 444]], [[1, 2, -89, 1]], [[1111, 4444, 2222, 3333, 4444]], [[2, 1, 1, 1]], [[-72, -777, 666, -99, 444, -333, -111, 444, 444, -99]], [[1111, 4444, 2222, 3333, 3334, 4444]], [[1, 2, 3, -753, 1]], [[81, 27, -54, 100, -72, 81, -90, 81, 27]], [[-72, -777, 666, -100, 444, -333]], [[0, 1, 0, -1, 3333, -1]], [[4444"}},"2544b85e8545a47cb880056051111fc0"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 11, -1, -11, -12]], [[]]]\n    results = [[-1, -11, 1, -12, 11], []]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(order_by_points)\n\n\n\nprint('___SENTINEL___')\n","91c232eeacdbf9a8f3d438cdcf5d3fb5"]
[{"$cut":{"chars":43333,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[5, -2, 1, -5]], [[15, -73, 14, -15]], [[33, -2, -3, 45, 21, 109]], [[43, -12, 93, 125, 121, 109]], [[71, -2, -33, 75, 21, 19]], [[1]], [[]], [[24, -25, 9, 37, -71, -18]], [[57, -23, -15, 42, 99, 104]], [[6, 89, -12, 77, 13, 196]], [[101, -35, 16, 44, -67]], [[22, -33, -46, 89, -91, 128]], [[55, -62, 7, 99, 23, 18]], [[14, -8, 62, 71, -123, 39]], [[10, 12, 22, -76, 37]], [[39, 153, 240, -339]], [[11, 232, 324, -876, 799]], [[57, -23, -15, 42, 99, 56, 104, 42]], [[6, 89, -12, 77, 13, 196, 196]], [[24, -25, 37, -71, -18]], [[-23, -15, 42, 99, 56, 104, 42]], [[71, 55, -62, 7, 99, 23, 18]], [[57, -23, -15, 42, 99, 56, 104, 42, 42]], [[24, -25, 9, 37, -71, -91, -18, -71, -18]], [[24, -25, 9, 37, -71, -91, -71, -18]], [[57, -15, 42, 99, 56, 104, 42]], [[6, 12, 77, 13, 196, 196, 89, 196]], [[24, -25, 9, 37, -71, -35, -25]], [[-23, -15, 42, 99, 56, 104, 42, 104]], [[57, -23, -15, 42, 56, 104, 42, 42]], [[104, 14, -8, 62, 72, 39]], [[57, -23, -15, 42, 56, 104, 42, 42, 104]], [[10, 12, 22, 12]], [[6, 12, 22, 12]], [[6, 12, 324, 12]], [[14, -8, 62, 5, 6, -123, 39]], [[24, -25, 9, -91, -71, -91, -71, -18]], [[39, 152, 240, -339]], [[57, 57, -15, 42, 99, 104]], [[24, -25, 9, 37, -71, -17]], [[44, 152, 240, -339]], [[-23, -15, 42, 99, 56, 42]], [[89, -25, 9, -91, -71, -91, -71, -18, 5]], [[57, -23, -15, -76, 99, 104]], [[11, 232, 324, -877, -876, 152, 799, 324]], [[14, -8, 62, 5, 6, -76, 6]], [[-8, 62, 37, 6, -76, 6]], [[71, 55, -62, 7, 99, 23, 18, 99]], [[239, 39, 152, 240, -339]], [[39, 154, 240, -339]], [[10, 22, -76, 37]], [[101, -35, 16, 44, -67, -67]], [[39, 155, 240, -339]], [[39, 152, 241, -339]], [[24, -25, 9, -91, -67, -71, -91, -71, -18]], [[24, -25, 9, -71]], [[57, -15, 99, 56, 104, 42]], [[240, 39, 152, 241, -339]], [[39, 151, 152, 240]], [[-23, -15, 42, 99, 56, 104, -339, 42, 104]], [[57, -23, -15, 42, 104, 42, 42, 104, 42]], [[71, 55, -62, 7, 99, 23, 18, 99, 18]], [[39, 152, 240, 39]], [[71, 55, -62, 7, 99, 23, 18, 71, 55]], [[239, 39, 152, -35, 240, -339]], [[-23, -15, 42, 56, -339, 42, 104]], [[-23, -15, 42, 99, 56, 104, 42, 104, 56]], [[24, -25, 9, 12, 37, -71, -35, -25]], [[-8, 6, 62, 37, 6, -76, 36, 6]], [[6, 89, -12, 77, 196, 196]], [[39, 152, 241]], [[239, 39, 152, 39, 240, -339, -339]], [[240, 39, 152, 241]], [[-62, 232, 324, -877, -876, 152, 799, 324]], [[11, 232, 324, -877, 62, -876, 152, 799]], [[57, -23, -15, 42, 99, 56, 104, 42, 99]], [[39, 153, 99, 240, -339]], [[39, 104, 152, 240, 152]], [[12, 239, 152, 39, 240, -339]], [[10, 22, -76, 37, 10]], [[-25, 9, 12, 37, -71, -35, -25]], [[57, -15, 99, 56, 104, 42, 104]], [[57, -15, -123, 99, 56, 104, 42]], [[101, -35, 44, -67, -67]], [[55, -62, 7, 23, 18]], [[14, -8, 62, 5, 6, -76, 6, 14]], [[14, -8, 62, -123, 39, -8]], [[14, -8, 62, -18, 6, -76, 6, 5]], [[24, -25, -876, 9, 37, -71, -18]], [[55, -62, 7, 241, 99, 23, 18]], [[-23, 42, 99, 56, 104, 42]], [[101, -35, 16, 44, -67, 42]], [[76, 6, 89, -12, 77, 13, 196, 196]], [[-23, -16, 42, 99, 56, 104, 42, 104]], [[57, -15, 56, 104, 42]], [[57, -23, -15, 42, 105, 104, 42, 42, 44, 104, 42]], [[-23, -16, 99, 56, 104, 42, 104]], [[55, -62, 7, 24, 18]], [[22, -33, -46, -91, 128]], [[-23, -15, 42, 99, 154, 42, -15]], [[14, -8, -18, 6, -76, 6, 6]], [[240, 39, 152, 240, -339]], [[-62, 232, 324, -46, -876, 152, 799, 324]], [[39, 240]], [[39, 241, 240, 39]], [[101, -35, 62, 16, 44, -67, 42]], [[123, 505, 789, 111]], [[63, 24, 84, 75, -56, 13]], [[11, 12, 13, 14, 15, 16]], [[100, 101, 102, 103, "}},"9a8384e141c3907b9a6099944ddefaac"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[15, -73, 14, -15]], [[33, -2, -3, 45, 21, 109]]]\n    results = [1, 2]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(specialFilter)\n\n\n\nprint('___SENTINEL___')\n","e9675a3b62f8174f53dce8fccc9c2da7"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5], [6], [10], [100], [1], [2], [3], [4], [7], [12], [15], [20], [25], [30], [29], [16], [19], [18], [17], [21], [26], [31], [11], [22], [8], [27], [24], [32], [28], [33], [23], [9], [14], [13], [34], [35], [36], [49], [37], [73], [77], [50], [74], [75], [76], [38], [78], [48], [51], [52], [98], [79], [53], [72], [42], [41], [99], [80], [54], [40], [68], [39], [81], [67], [69], [43], [61], [70], [65], [71], [102], [101], [82], [47], [46], [66], [45], [57], [60], [58], [59], [103], [97], [56], [104], [96], [44], [105], [83], [95], [94], [64], [84], [85], [63], [86], [55], [87], [62], [200], [199], [201], [198], [202], [90], [91], [92], [203], [93], [197], [196], [195], [194], [204], [88]]\n    results = [1, 4, 36, 53361, False, False, 0, 1, 10, 60, 130, 321, 736, 1260, 1089, 175, 306, 240, 185, 399, 764, 1450, 39, 490, 11, 900, 616, 1495, 1053, 1705, 511, 21, 94, 88, 1936, 1991, 2244, 6016, 2520, 20448, 23425, 6136, 20724, 21900, 23125, 2586, 24700, 5520, 6664, 7225, 49136, 26026, 7361, 19320, 3640, 3289, 51216, 26351, 7956, 3211, 15961, 2886, 27729, 15730, 16951, 4018, 11800, 17986, 13881, 18239, 56100, 53889, 29160, 5055, 4950, 14784, 4515, 9405, 11020, 10108, 10279, 58378, 48640, 8739, 58939, 46624, 4109, 61285, 29511, 44671, 44206, 13671, 30996, 32536, 12810, 32914, 8586, 34510, 11990, 431211, 429066, 439989, 420420, 448900, 38280, 40050, 40485, 451111, 42315, 411905, 409825, 401440, 393184, 460156, 36163]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(get_max_triples)\n\n\nprint('___SENTINEL___')\n","952856313ccd08524fcc2060b60c5c9c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5]]\n    results = [1]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(get_max_triples)\n\n\n\nprint('___SENTINEL___')\n","cc106600e04219968813d10cb61b0ae8"]
[{"$cut":{"chars":45719,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Jupiter', 'Neptune'], ['Earth', 'Mercury'], ['Mercury', 'Uranus'], ['Neptune', 'Venus'], ['Earth', 'Earth'], ['Mars', 'Earth'], ['Jupiter', 'Makemake'], ['Neptune', 'Mercury'], ['Jupiter', 'Mars'], ['Mercury', 'Saturn'], ['Pluto', 'Mars'], ['Mercury', 'Venus'], ['Neptune', 'Saturn'], ['Earth', 'Neptune'], ['Uranus', 'Jupiter'], ['Mercury', 'Neptune'], ['Venus', 'Mars'], ['NeptunMarse', 'MeurJupitery'], ['MercuNeptunMarsery', 'Neptune'], ['Mercury', 'Mercury'], ['MercuNeptunMarsery', 'Mars'], ['', 'NeptuMarsn'], ['Pluto', 'Earth'], ['rn', 'Sturn'], ['ury', 'Mercrury'], ['Mar', 'Mar'], ['Earth', 'MerVenuscury'], ['rnth', 'Earath'], ['Pluto', 'Earath'], ['', 'NepntuMarsn'], ['Pluto', 'UranusEarth'], ['Pluto', 'Pluto'], ['Sturn', 'Sturn'], ['UranusEarth', 'Pluto'], ['UranusEarth', 'Mars'], ['xrON', 'Mars'], ['Puluto', 'Pluto'], ['NeptunePluto', 'UrntVenushranusEarth'], ['rnth', 'MeurJupitery'], ['Mars', 's'], ['tJupiter', 'Mars'], ['rnth', 'rntPlutoh'], ['rnthh', 'UrntVenushraMercurynusEarth'], ['Plo', 'Pluto'], ['Puluto', 'Earath'], ['Venus', 'MaNepntuMarsnrs'], ['Plsuto', 'Pluto'], ['Venus', 'UranusEarth'], ['Saturn', 'Saturn'], ['uSturnPuluto', 'rntPlutohuSturn'], ['sMaNepntuMarsnrs', 's'], ['Neptune', 'Neptune'], ['Mercrury', 'MarstJupiter'], ['Sturn', 'MarstJupiterSturn'], ['', 'NepntueMarsn'], ['aMars', 's'], ['NeptunMarse', 's'], ['Earath', 'Puluto'], ['NepPlutontueMarsn', 'NepntueMarsn'], ['NeptunMarse', 'NepntuMarsn'], ['ss', 's'], ['MarMr', 'Mar'], ['PuluMercruryo', 'Earath'], ['NepntueMarsn', 'NepntueMarsn'], ['Pluto', 'Plutuo'], ['NepPlutontueMarsn', 'NepPlutontueMarsn'], ['Neptuneuto', 'NeptunePluto'], ['Pluto', 'PMars'], ['Pluto', 'PMPPNepntuMarsnars'], ['MPlutuoercury', 'Mercury'], ['JupUranuser', 'Mars'], ['EartMeurJupiteryh', 'Mercury'], ['Pluto', 'tEarth'], ['Sturn', 'MarstJupiterSturnxrON'], ['lPluto', 'lPluto'], ['MPlutuoercury', 'MPlutuoPulutoury'], ['Pululto', 'Pululto'], ['tJupiter', 'PlsutoMars'], ['Earth', 'NeptuPulultone'], ['tJupiterMercurPMPPNepntuMarsnars', 'tJupiterMercury'], ['UrntVenushraMercurynusEarth', 'UrntVenushraMercurynusEarth'], ['', 'EarthPuluMercruryo'], ['PlutoaMars', 'Pluto'], ['rntPlutohuSturn', 'uSturnPuluto'], ['JupUranuser', 'ars'], ['aMarMMarMrr', 'aMar'], ['Pluto', 'MarMr'], ['Mar', 'Neptune'], ['PxrONlutto', 'tEarth'], ['urMarstJupiterSturnxrONy', 'Mercrury'], ['Earrth', 'MerVVenusenuscuruy'], ['cMerc', 'cMerc'], ['rn', 'SaturnStur'], ['Mercruy', 'MarsteJupiter'], ['Mrnercury', 'Mrnercury'], ['MarsteJuer', 'MarsteJupite'], ['Earth', 'NeptuPulultonne'], ['Earth', 'Sturn'], ['Earth', 'Mercy'], ['MeruVVenusnuscuruy', 'MeruVVen'], ['Mars', 'Neptune'], ['Saturn', 'Mercury'], ['Jupiter', 'Venus'], ['Jupiter', 'Jupiter'], ['Jupi', 'Jupiter'], ['Meurcury', 'Jupiter'], ['PUranuslMeurcuryuto', 'PUranusluto'], ['Jupiter', 'Veneus'], ['Jupi', 'Jiter'], ['Pluto', 'uto'], ['EaMercuryh', 'Pluto'], ['PUranuslMeurcuryuto', 'PUranuJiterury'], ['uto', 'JupitJupiterer'], ['MeVenusrcury', 'PUranusluto'], ['Jupi', 'J'], ['MeVenusrcurNeptuney', 'MeVenusrcurNeptuney'], ['PUranuslMeurcuryuto', 'PUranu'], ['Jupi', 'Uranus'], ['MeVenusrcurNeptuney', 's'], ['PUranusluto', 'Mars'], ['uto', 'uto'], ['Venues', 'Venus'], ['Merry', 'Mercury'], ['VeMeurcurynues', 'Venus'], ['JJupiterupiter', 'Vensus'], ['PUranu', 'Jupi'], ['Venus', 'Venues'], ['UrasnUus', 'Jupiter'], ['Venus', 'MeVenusrcurNeptuneyMercury'], ['UUranus', 'Jiter'], ['Mercury', 'MMercury'], ['VeMeurcurynues', 'P"}},"1bacf7843e743e0e332f2f407fa81bef"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Jupiter', 'Neptune'], ['Earth', 'Mercury'], ['Mercury', 'Uranus']]\n    results = [('Saturn', 'Uranus'), ('Venus',), ('Venus', 'Earth', 'Mars', 'Jupiter', 'Saturn')]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(bf)\n\n\n\nprint('___SENTINEL___')\n","e021b0091b6193dcaa7214e4ffe2e23f"]
[{"$cut":{"chars":99912,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[['aa', 'a', 'aaa']], [['school', 'AI', 'asdf', 'b']], [['d', 'b', 'c', 'a']], [['d', 'dcba', 'abcd', 'a']], [['AI', 'ai', 'au']], [['a', 'b', 'b', 'c', 'c', 'a']], [['aaaa', 'bbbb', 'dd', 'cc']], [['programming', 'python', 'java', 'ruby']], [['apple', 'orange', 'banana', 'grapefruit']], [['abcd', 'efgh', 'ijkl', 'mnop']], [['hello', 'world', 'this', 'is', 'a', 'test']], [['dog', 'cat', 'bird', 'fish', 'lizard']], [['aaaa', 'bb', 'cccc', 'ddd']], [['the', 'quick', 'fox', 'jumps', 'over', 'the', 'lazy', 'dog']], [['python', 'is', 'a', 'popular', 'language']], [['this', 'list', 'has', 'words', 'of', 'different', 'lengths']], [['racecar', 'deified', 'civic', 'level', 'rotor']], [['bb', 'cccc', 'ddd']], [['efgh', 'ijkl', 'mnop']], [['popuolar', 'python', 'is', '', 'popular', 'language']], [['hello', 'world', 'this', 'jumpshello', 'telizardst', 'istest', 'a', 'test']], [['abcdifferentd', 'efgh', 'ijkl', 'mnop']], [['aajavaa', 'fox', 'cccc', 'ddd']], [['programming', 'python', '', 'java', 'ruby']], [['aaaa', 'bb', 'cccc', 'ccccc', 'ddd']], [['popuolar', 'lizardpython', 'is', '', 'popular', 'jumps']], [['popuolar', 'is', '', 'popular', 'language']], [['poupular', 'popuolar', 'lizardpython', 'is', '', 'popular', 'jumps']], [['python', 'is', 'popular', 'language', 'language']], [['aajavaa', 'fox', 'ddd', 'fox']], [['programming', 'python', 'ruby']], [['bb', 'cccc', 'ddd', 'ddd']], [['poupular', 'lizardpython', 'is', '', 'popular']], [['poupular', 'lizardpython', 'is', 'popular']], [['this', 'list', 'halevels', 'words', 'of', 'different', 'lengths']], [['the', 'quick', 'hello', 'fox', 'jumps', 'over', 'the', 'lazy', 'dog']], [['aajavaa', 'appleffoxox', 'ddd', 'fox', 'aajavaa']], [['apple', 'ojumpsnge', 'banana', 'bananna', 'grapefruit']], [['dog', 'cat', 'bird', 'fish', 'lizard', 'fish']], [['popuolar', 'python', 'is', 'hello']], [['hello', 'st', 'world', 'this', 'is', 'a', 'test', 'this']], [['aapple', 'orange', 'banana', 'aapple', 'banana']], [['hello', 'world', 'this', 'jumpshello', 'telizardst', 'hetestllo', 'istest', 'a', 'test', 'a']], [['aaaa', 'bb', 'cccc', 'ccccc', 'cccc', 'ddd']], [['aajaisaa', 'ddd', 'fox']], [['hlizardello', 'hello', 'world', 'this', 'has', 'a', 'test']], [['hello', 'world', 'this', 'thiis', 'jumpshello', 'telizardst', 'istest', 'a', 'test', 'istest']], [['hello', 'world', 'this', 'thiis', 'jumpshello', 'telizardst', 'istest', 'a', 'test']], [['python', 'java', 'ruby']], [['banan', 'orange', 'banana', 'aapple', 'banana']], [['quick', 'fox', 'jumps', 'over', 'the', 'lazy', 'dog']], [['bb', 'a', 'orange', 'ddd', 'ddd']], [['poupular', 'banan', 'orange', 'banana', 'aapple', 'banana']], [['abcd', 'popuolar', 'lizardpython', 'is', '', 'popular', 'jumps']], [['aaaa', 'bb', 'cccc', 'ccccc']], [['lizardplython', 'abcd', 'popuolar', 'lizardpython', 'is', '', 'popular', 'jumps']], [['aajavajumpshelloa', 'appleffoxox', 'ddd', 'fox', 'aajavaa']], [['abcd', 'popuolar', 'lizardpython', 'is', 'bananna', 'popular', 'jumps']], [['efgh', 'ijkl', 'mlizardplythonnop']], [['poupular', 'lizardpython', 'is', '', 'popular', '']], [['hello', 'world', 'this', 'thiis', 'jumpshello', 'telizardst', 'istest', 'a', 'test', 'istest', 'this']], [['poupular', 'popuolar', 'poupuar', 'lizardpython', 'is', '', 'popular', 'jumps']], [['popuolar', 'python', 'is', 'sis', 'hello']], [['aaaa', 'bb', 'cccc', 'ccccc', 'bb']], [['racecar', 'deified', 'civic', 'level', 'rotor', 'racecar']], [['programming', 'python'"}},"31746ada9da6641850049b5b5d9d62a1"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[['aa', 'a', 'aaa']], [['ab', 'a', 'aaa', 'cd']]]\n    results = [['aa'], ['ab', 'cd']]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(sorted_list_sum)\n\n\n\nprint('___SENTINEL___')\n","91146bf4bc3863e5001d4a08656a56ce"]
[{"$cut":{"chars":19669,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[7, 34, 12], [15, 8, 5], [3, 33, 5212], [1259, 3, 52], [7919, -1, 12], [3609, 1245, 583], [91, 56, 129], [6, 34, 1234], [1, 2, 0], [2, 2, 0], [-2, 0, 1], [0, 500, 1000], [11, 1, 0], [25, -25, 25], [37, 123, 456], [113, 100, 200], [17, 5, 9], [31, -5, 22], [49, 0, 3], [61, 20, 40], [100, 99, 200], [62, 40, 20], [199, 99, 200], [5, 100, 5], [500, 500, 500], [62, 40, 62], [25, -26, 25], [123, 499, 500], [17, 9, 17], [6, 123, 100], [37, 122, 455], [37, 123, 25], [49, 3, 3], [11, 100, 201], [6, 100, 100], [99, 99, 200], [41, 20, 20], [36, 456, 37], [500, 501, 500], [100, 456, 99], [500, 500, 501], [62, 49, 100], [31, 1, 31], [1000, 62, 501], [-4, -3, -26], [100, 200, 200], [41, 122, 455], [100, 19, 200], [99, 41, 1], [49, -26, -26], [99, 99, 99], [50, 49, 3], [17, 18, 9], [6, 1, 100], [99, 40, 99], [41, 0, 3], [31, 500, 22], [5, 101, 5], [41, 3, -26], [498, 501, 500], [49, -4, 3], [41, 499, -26], [-4, -26, -26], [99, -25, 99], [26, 25, 26], [40, 61, 62], [99, 3, 9], [41, 199, 24], [32, 500, 22], [-3, -26, -3], [31, 32, 22], [500, 500, 22], [98, 199, 200], [113, 200, 200], [5, 5, 5], [1, 0, 3], [501, 456, 37], [19, 113, 100], [-28, -27, -4], [38, 122, 455], [40, 0, 98], [37, 123, 6], [19, 200, 200], [199, 99, -5], [499, 5, 20], [99, 9, 100], [500, 500, 122], [50, 36, 3], [113, 100, 113], [456, 100, 100], [0, 456, 37], [-3, -3, 9], [48, 0, 499], [25, 1000, -26], [100, 31, 1000], [100, 456, 100], [25, 27, 25], [-27, 9, 17], [24, 200, 200], [32, 31, 31], [62, 40, 41], [1000, 40, 501], [50, 27, -26], [-3, 1, 1], [40, 62, 62], [100, 457, 100], [31, 24, 22], [21, -25, 200], [500, 22, 500], [41, -26, -26], [-5, 34, 1234], [0, 2, 0], [101, 56, 129], [399, 2, 0], [7919, 33, 5212], [61, -100, 50], [73, 0, 15], [101, 17, 0], [-10, 4, 5], [0, 6, 10], [-5, -10, 1234], [1234, 56, 129], [10, -5, -5], [-10, 4, 10], [4, 10, 10], [-9, 4, 5], [-11, 56, 10], [34, -10, 34], [73, 56, 129], [-9, -10, 4], [4, 2, 10], [0, 5, 10], [-9, 5, 5], [10, -4, -5], [1234, 129, 128], [129, 9, 10], [-11, 56, 56], [9, 129, -5], [129, 10, -10], [-9, -10, -10], [10, -6, -5], [-5, 56, -5], [-9, 6, 0], [-8, -9, 6], [101, 129, -5], [34, -10, 50], [49, -100, 50], [34, -10, 51], [1233, 56, 130], [10, 10, 10], [34, -5, -5], [-5, -5, 10], [129, 1234, 1234], [1234, 1234, 5], [-11, 4, 5], [1234, 129, 1234], [-7, 17, 0], [6, 128, 10], [34, -7, 34], [-4, -4, -5], [7919, 33, 7919], [0, -11, 10], [-7, 0, 0], [-5, 129, -5], [56, 56, 129], [10, 129, -5], [-10, -11, -11], [34, 2, 50], [-10, 34, 35], [5, 5212, 1234], [1234, 129, 129], [0, 4, 5], [17, 129, 56], [-9, 61, 0], [-8, 5, 0], [4, -7, 34], [-7, 0, -6], [61, 0, 0], [129, 56, 129], [-10, 56, 10], [49, 49, 17], [6, 6, 6], [129, 1235, 1234], [9, 33, 33], [-5, 34, -5], [-5, -10, -5], [17, -5, -5], [-10, 35, 35], [2, 9, 50], [399, 0, 0], [35, 49, 49], [5, -6, -5], [-7, 8, 9], [399, 2, 2], [1234, 131, 1234], [-5, -5, -5], [-100, -7, 0], [1234, 129, 15], [131, 128, 128], [-4, 34, 49], [-6, -5, -5], [129, 56, -6], [10, 1234, 8], [-10, 5, 5], [4, 5, 5], [17, 5, 5], [-10, 0, 5], [399, 399, 0], [129, 5, 5], [1234, 4, 0], [400, 399, 2], [61, 0, 1], [128, -10, 1234], [-10, 131, 34], [-11, 131, 34], [129, 0, -6], [15, -5, -5], [10, -10, 1234], [49, 48, 5211], [55, 56, 56], [-9, -10, 130], [16, 17, 3], [34, 51, -10], [-4, 10, -10], [-8, 8, 9], [-11, 9, -11], [-10, 33, 33], [-9, 62, 0], [-10, -11, -10], [1233, 399, 74], [-9, 8, 9], [-4, 10, -5], [131, 131, 33], [-8, -9, 17], [55, 56, 55], [6, 17, 2], [-9, 399,"}},"c6300ca17613f064e6cfa3abc4280cee"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[7, 34, 12], [15, 8, 5]]\n    results = [34, 5]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(x_or_y)\n\n\n\nprint('___SENTINEL___')\n","e7d7e2151f8e21372c9a2bf491b1f46f"]
[{"$cut":{"chars":79052,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[]], [[5, 4]], [[0.1, 0.2, 0.3]], [[-10, -20, -30]], [[-1, -2, 8]], [[0.2, 3, 5]], [[-99, -97, -95, -93, -91, -89, -87, -85, -83, -81, -79, -77, -75, -73, -71, -69, -67, -65, -63, -61, -59, -57, -55, -53, -51, -49, -47, -45, -43, -41, -39, -37, -35, -33, -31, -29, -27, -25, -23, -21, -19, -17, -15, -13, -11, -9, -7, -5, -3, -1, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55, 57, 59, 61, 63, 65, 67, 69, 71, 73, 75, 77, 79, 81, 83, 85, 87, 89, 91, 93, 95, 97, 99]], [[3, 5, 7]], [[2, 4, 6]], [[1, 2, 3, 4, 5, 6]], [[-5, 7, 9]], [[1.0, 3.5, -4.6]], [[1, 3, 5]], [[0, 1, 2, 3, 4, 5, -6, -7]], [[2, 2.5, 3, 3.5, 4, 4.5, 5]], [[5, 7, 9, -10, -12]], [[2, 4, 6, 8]], [[1.0, -4.6]], [[1, 2, 3, 5, 5, 6]], [[2, 2.5, 3, 3.5, 4.5, 5]], [[2, 4, 5, 8]], [[1, 3, 1, 5]], [[-12, 7, 9]], [[2, 4]], [[2, 4, 5, 7, 8]], [[3, 5]], [[0, 3, 1, 5]], [[-10, 2]], [[2, -10, 2]], [[0, 1, 2, 3, 4, 5, -6, -8, 4, 0]], [[2, 2.5, 3, 3.5, 4.5, 5, 2.5]], [[-10, 5]], [[0.6024368436456773, -4.6]], [[1, 5]], [[2, 4, 5, 1, 7, 8]], [[3, 5, 3, 7]], [[3, 5, 7, 3]], [[2, 6, 8]], [[2, -5, 2.5, 3, 3.5, 4.5, -7]], [[2]], [[2, -5, 3, 3.5, 4.5, -7]], [[1, 2, 3, 5, 5, 6, 5]], [[1, -10, 9]], [[2, 3, 4, 5, 6]], [[5, 7, 7, 9, -10, -12, -12]], [[2, -5, 2.5, 3, 3.5, 4.5, -6, 3.5]], [[2, 5, 4, 6, 6]], [[3, 5, 3, 7, 7]], [[2, 6, 8, 8]], [[7, 6, 8, 8, 8]], [[2, -5, 5, 6, 3, 3.5, 4.5, 5, -7]], [[-4.6, -4.6]], [[2, 6, 8, 2, 6]], [[1, 2, 3, 2, 5, 5, 7]], [[0, 3, 1, 5, 5]], [[-4.6]], [[2, 5, 8, 7, 8]], [[-5, 3]], [[0, 2, 1, 5, 5, 0]], [[2, -5, 2.5, 3, 3.5, 4.5, 3.5]], [[2, 4, 5, 7, 7, 8]], [[0, 1, 2, 3, 4, 5, -6, 4, 0]], [[3, 5, 7, 3, 3]], [[5, 4, 6, 6]], [[2, 2.5, 3, 3.239486827292248, 3.5, 4, 4.5, 5, 2.5]], [[3, 5, 7, 5]], [[5, 4, 6]], [[-0.08450530644125998, -4.6]], [[1, 2, 3, 5, 5, 6, 5, 3]], [[7, 9]], [[2, -5, 1.4396458367146585, 3, 3.5, 4.5, -6, 3.5]], [[2, 4, 5, 5, 1, 7, 2]], [[0, 3, 1, 5, 1]], [[2, 4, 3, 5, 7, 8]], [[4, 5, 1, 7, 8]], [[2, -5, 5, 6, 3, 3.5, 4.5, -7, -7, -5]], [[0, 3, 1, 5, 5, 5]], [[1, 2, 3, 5, 4, 6]], [[3, 3, 5, 7]], [[9, 2, 4, 5, 1, 7, 8]], [[6, 7, 7, 9, -10, -12, -12, -7, 9]], [[2, 1, 2, 3, 5, 5, 6]], [[5, 7, 7, 9, -12, -12]], [[2, 2.5, 3, 5, 3.5, 4, 4.5, 5, 3.5]], [[2, 4, 4, 7, 8]], [[0, 1, 2, 3, 4, 5, -6, -7, 1]], [[0, 3, 1, 5, 5, 5, 5]], [[4, 4, 7, 8]], [[5, 2, 7, 9, -12]], [[2, 6, 3, 3.5, 4.5, -7, -7, -5, 6]], [[1, 2, 3, 5, 4, 5, 6]], [[3.239486827292248, 2, -5, 2.5, 5, 3.5, 4.5, 3.5]], [[2, 1, 2, 3, 5, 5, 1]], [[2, 1, 3, 1, 5, 1]], [[1, 2, 5, 4, 5, 6]], [[2, 8, 8, 8]], [[3, 7]], [[0, 1, 2, 3, 4, 5, -6, -8, 5, 4, 0]], [[2, -11]], [[0, 1, 2, 3, 4, 5, 4, 0]], [[0, 2, 5, 5, 0]], [[2, 4, 5, 7, 7, 8, 2]], [[2, 2.5, 3.5, 4.5, -0.08450530644125998, 3, 5]], [[1, 2, 3, 5, 4, 5, 6, 4]], [[3, 5, 7, 3, 3, 3]], [[3, 3, 1, 7, 1]], [[2, 3, 4.5, 6, -7, 8, 9.1, -10.5, 11, 12, -13, -14.5, -15, 16.5, 17, 18, 19.2, -20, 21, 22.5]], [[-2, -4, 3.7, -5, 7, 10.5, -11, -12.8, -14, -15.3, -16, -18, 19, 20.2, 21.9, -23.8, 24, 25, 26, -27.5, -28, -29]], [[1, 3, 2, 0, -3, -2, 4.5, 7.8, 9, -9]], [[1.25, 2.5, 3.75, -5.5]], [[10.7, 12.5, -15.2, 17, 2, 0]], [[11, 12, 13, -11, -12, -13, 2.5, -3.7, 4.98, -5.6]], [[0, 0, 0, 0, -1, -2, -3, -4, 5, 6, 7.5, 8.3]], [[2.5, 3.7, -5, 7, 10.5, -11, -12.8, -14, -15.3, -16, -18, 19, 20.2, 21.9, -23.8, 24, 25, 26, -27.5, -28, -29]], [[1, 3, 5, 7, 9, 11, 13, 15, 17, 19]], [[1, -3, 2.5, -5, 0.5, 7, 9.9]], [[12, 10, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19]], [[2.5, 3.7, -5,"}},"b80b267a42e533cebf78ecbee383dc0c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 3, 2, 0]], [[-1, -2, 0]], [[9, -2]], [[0]]]\n    results = [10, 0, 81, 0]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(double_the_difference)\n\n\n\nprint('___SENTINEL___')\n","877f2a92057c8fe66ab03a4ed3889a03"]
[{"$cut":{"chars":73661,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4, 5, 1], [1, 2, 3, 4, 2, -2]], [[0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]], [[1, 2, 3], [-1, -2, -3]], [[1, 2, 3, 5], [-1, 2, 3, 4]], [[1, 1, 1, 1, 1], [0, 0, 0, 0, 0]], [[10, 20, 30, 40, 50], [12, 22, 32, 42, 52]], [[2, 4, 6, 8], [3, 5, 7, 9]], [[-1, -5, 0, 5], [-2, -4, 3, 4]], [[100, 200, 300, 400], [100, 202, 301, 400]], [[0, 0, 0, 0], [1, 1, 1, 1]], [[2, 4, 6, 8], [-2, 2, 6, 8]], [[10, 20, 30], [20, 10, 40]], [[10, 20, 30], [11, 19, 35]], [[-10, 0, 10, 20], [-12, 1, 8, 19]], [[10, 100, 30], [10, 100, 30]], [[-2, 2, 6, 8], [-2, 2, 6, 8]], [[-2, 2, 6, 30, 8], [-2, 2, 6, 30, 8]], [[12, 22, 32, 42, 52], [12, 22, 32, 42, 52]], [[1, 1, 1, 1, 1], [1, 1, 1, 1, 1]], [[2, 4, 6, 8], [2, 4, 6, 8]], [[10, 20, 30], [10, 20, 30]], [[10], [10]], [[9, 20, 30], [19, 19, 35]], [[12, 22, 32, 52], [12, 22, 32, 52]], [[10, 20, 30, 40, 50, 50], [10, 20, 30, 40, 50, 50]], [[-2, 6, 30, 8], [-2, 6, 30, 8]], [[12, 22, 32, 42, 52, 12, 42, 42], [12, 22, 32, 42, 52, 12, 42, 42]], [[9, 100, 30], [9, 100, 30]], [[4, 20, 30, 29], [4, 20, 30, 29]], [[20, 30], [20, 30]], [[4, 30, 12, 29, 30], [4, 30, 12, 29, 30]], [[100, 202, 301, 400, 301], [100, 202, 301, 400, 301]], [[99, 202, 301, 400, 301], [99, 202, 301, 400, 301]], [[-1, -5, 0, 5, 5], [-1, -5, 0, 5, 5]], [[-12, 1, 1, 19], [-12, 1, 1, 19]], [[-2, 6, 30, 7], [-2, 6, 30, 7]], [[-2, 6, 30], [-2, 6, 30]], [[4, 20, 30], [4, 20, 30]], [[2, 4, 6, 8, 6], [2, 4, 6, 8, 6]], [[1, 1, 1, 1], [0, 0, 0, 0]], [[-10, 0, 10, 20], [-10, 0, 10, 20]], [[0, -1, 0, 0, 0], [0, -1, 0, 0, 0]], [[-2, 6, 30, 8, 8], [-2, 6, 30, 8, 8]], [[9, 100, 30, 30], [9, 100, 30, 30]], [[-2, 4, 30, 7], [-2, 4, 30, 7]], [[100, 201, 301, 400, 301, 202, 202], [100, 201, 301, 400, 301, 202, 202]], [[6, 8, 7], [6, 8, 7]], [[11, 19, 35, 11], [11, 19, 35, 11]], [[-1, 0, 5], [-1, 0, 5]], [[-1, -5, 0, 5], [-2, -3, 3, 4]], [[19, 19, 35, 19, 19], [19, 19, 35, 19, 19]], [[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0]], [[-5, 0, 5, 1, 6], [-5, 0, 5, 1, 6]], [[12, 22, 32, 42, 52, 42], [12, 22, 32, 42, 52, 42]], [[-2, 6, 30, 30], [-2, 6, 30, 30]], [[2, 4, 11, 8], [2, 4, 11, 8]], [[100, 201, 301, 400, 301, 202, 202, 201], [100, 201, 301, 400, 301, 202, 202, 201]], [[-2, 6, 30, 8, -2], [-2, 6, 30, 8, -2]], [[11, 19, 35, 35], [11, 19, 35, 35]], [[-1, 6, 0, 5, 5, -1], [-1, 6, 0, 5, 5, -1]], [[-4, 4, 6, 8], [-4, 4, 6, 8]], [[0, 202, 0, 0, 0, 0, 0], [0, 202, 0, 0, 0, 0, 0]], [[0, 20, 30], [0, 20, 30]], [[8, 19, 19, 35], [8, 19, 19, 35]], [[4, 30, 29, 30], [4, 30, 29, 30]], [[3, 0, 0, 0, 0, 0], [3, 0, 0, 0, 0, 0]], [[19, 19, 19, 19, 19], [19, 19, 19, 19, 19]], [[12, 32, 42, 52, 12, 42, 42], [12, 32, 42, 52, 12, 42, 42]], [[19, 4, 19, 19, 19, 19], [19, 4, 19, 19, 19, 19]], [[2, 4, 11, 8, 2, 2], [2, 4, 11, 8, 2, 2]], [[-1, 6, 30, 8, -2], [-1, 6, 30, 8, -2]], [[0, 0, 0, 0], [0, 0, 0, 0]], [[1, 1, 1, 0, 1], [0, 0, 0, 0, 0]], [[20, 30, 20], [20, 30, 20]], [[19, 19, 19, 19, 20, 19], [19, 19, 19, 19, 20, 19]], [[-2, 4, 42, 31, 4, 4], [-2, 4, 42, 31, 4, 4]], [[-2, 4, 30, 7, 4], [-2, 4, 30, 7, 4]], [[-4, 100, 30], [-4, 100, 30]], [[2, 30, 11, 8, 2, 2, 30], [2, 30, 11, 8, 2, 2, 30]], [[20, 35, 11], [20, 35, 11]], [[6, 8, 7, 8], [6, 8, 7, 8]], [[10, 10], [10, 10]], [[-1, 6, 0, 5, 5, -1, 0], [-1, 6, 0, 5, 5, -1, 0]], [[12, 22, 32, 42, 52, 12, 42], [12, 22, 32, 42, 52, 12, 42]], [[4, 20, 30, -2], [4, 20, 30, -2]], [[20, 30, 20, 20], [20, 30, 20, 20]], [[100, 202, 301, 300, 301], [100, 202, 301, 300, 301]], [[200, 3, 6, 8], [200, 3, "}},"f6db4f8dd985dfd839a6dd9ff59a5c57"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[[1, 2, 3, 4, 5, 1], [1, 2, 3, 4, 2, -2]], [[0, 5, 0, 0, 0, 4], [4, 1, 1, 0, 0, -2]]]\n    results = [[0, 0, 0, 0, 3, 3], [4, 4, 1, 0, 0, 6]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(compare)\n\n\n\nprint('___SENTINEL___')\n","f1156c5ab65bbc2c183e0ca254773fcd"]
[{"$cut":{"chars":20018,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Watashi', ['tEN', 'niNE', 'eIGHt8OKe']], ['Boku123', ['nani', 'NazeDa', 'YEs.WeCaNe', '32145tggg']], ['__YESIMHERE', ['t', 'eMptY', 'nothing', 'zeR00', 'NuLl__', '123NoooneB321']], ['K', ['Ta', 'TAR', 't234An', 'cosSo']], ['__HAHA', ['Tab', '123', '781345', '-_-']], ['YameRore', ['HhAas', 'okIWILL123', 'WorkOut', 'Fails', '-_-']], ['finNNalLLly', ['Die', 'NowW', 'Wow', 'WoW']], ['_', ['Bb', '91245']], ['Sp', ['671235', 'Bb']], ['Test1', ['UPPERCASE', 'uppercase', '1111']], ['Test2', ['capitalLETTERS', 'lowercaseletters', 'mIxEdcAsE']], ['Test3', ['oneUPPERcaseletter', 'TWoUPPERcaseletTErs', 'threeUppercaseletters', 'fourlowercaseletters']], ['Test4', ['ALLUPPERcaseletters', 'ALLlowercaseletters', 'Nolettersatall123', '12345']], ['Test5', ['ZERO', 'one', 'Two', 'THREE', 'four', 'FIVE', 'six', 'seven', 'eight', 'nine', '10']], ['Person', ['TEst', 'Name', 'naMe', 'AGE']], ['Animal', ['CAMel', 'hOrSE', 'DoG']], ['Vehicle', ['Automobile', 'CAR', 'SuPerbIkE', 'Z']], ['Computer', ['Laptop', 'DEsktop', 'TABLET', 'MONITOR', 'MOUSE', 'KEYboard']], ['Book', ['NOVEL', 'picturebook', 'COOkbook', 'Dictionary', 'Encyclopedia']], ['Computer', ['Laptop', 'DEsktop', 'TABLET', 'MONITOR', 'MOUSE', 'KEYboard', 'KEYeightboard']], ['Compter', ['Laptop', 'DEsktop', 'TABLET', 'MONITOR', 'MOUSE', 'KEYboard', 'KEYeightboard']], ['Computer', ['Laptop', 'DEsktop', 'TABLET', 'MONITOR', 'MOUSE', 'KEYeightboard']], ['Vehcice', ['Automobile', 'CAR', 'Vehicle', 'SuPerbIkE', '']], ['VehciceBook', ['Automobile', 'CAR', 'Vehicle', 'SuPerbIkE', '']], ['Animaal', ['CAMel', 'hOrSE', 'DoG']], ['Animal', ['capitalLETTERS', 'lowercaseletters', 'mIxEdcAsE']], ['Test1', ['UPPERCASE', 'uppercase', 'uppercasse', '1111']], ['Test1', ['UPPERCASE', 'uppercase', 'Animal']], ['Vehcice', ['Automobile', 'CAR', 'Vehicele', 'SuPerbIkE', '']], ['T1e1st1', ['UPPERCASE', 'uppercase', '1111']], ['Test3', ['oneUPPERcaseletter', 'threeUppercaseletters', 'fourlowercaseletters', 'threeUppercaseletters']], ['Vehcice', ['bIkE', 'Automobile', 'CAR', 'Vehicle', 'SuPerbIkE', '']], ['eightTeste3', ['UPPERCASE', 'uppercase', 'Animal']], ['AniVehcicemal', ['CAMel', 'hOrSE', 'DoG']], ['Test5', ['ZERO', 'one', 'Two', 'THREE', 'four', 'FIVE', 'six', 'FVIVE', 'seven', 'eight', 'nine', '10']], ['VehciceBo', ['Automobile', 'CAR', 'Vehicle', 'SuPerbIkE', '']], ['Test1', ['UPPERSCASE', 'uppercase', 'Animal']], ['Test1', ['UPPERCASE', 'uppercase', 'uppercasse', '1Test5111']], ['Animal', ['Do', 'CAMel', 'hOrSE', 'ZERO']], ['eightTeste3', ['aAnimal', 'UPPERCASE', 'uppercase', 'Animal']], ['TeTst3CTest3omputer', ['oneUPPERcaseletter', 'TWoUPPERcaseletTErs', 'fourlowercaseletteNamers', 'threeUppercaseletters', 'fourlowercaseletters']], ['Vehcpicturebccookoobk', ['Automobile', 'CAR', 'Vehicle', 'SuPerbIkE', '']], ['Test5', ['ZERO', 'one', 'Two', 'THREE', 'fur', 'four', 'FIVE', 'six', 'FVIVE', 'seven', 'eight', 'nine', '10']], ['AnimAnimaonelal', ['CAMel', 'hOrSE', 'DoG']], ['_', ['yolo', '900000000', 's3cr3tK3y', 'GIMMETH3L00TZ!']], ['ClassName', ['XXXXXXx', 'AAA', 'ffffff', 'Bbcde', 'GHIJKLMN']], ['My_class', ['Aaa', 'ZZZZ', 'ddd', 'E', 'HHHHHH']], ['Another_class', ['AbCdEfG', 'Hijklmno', '12345', 'pqrstuvwxy', 'Z']], ['MYCLASS', ['qwerty', 'asdfgh', 'zxcvbn', 'QWERTY', 'ASDFGHJKL', 'ZXCVBNM']], ['testing1', ['TESTING2', 'TEST', 'test', 'tEstin3g']], ['AnotherClass', ['hello', 'WORLD', 'Python321', 'TEST', 'Extend']], ['MyClass', ['AbcDEFg', 'hIjKlmn', 'OPqrst', 'UVWxYZ"}},"f4d5c34dc1b63b56aeb19f94cfc5f73e"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['my_class', ['AA', 'Be', 'CC']]]\n    results = ['my_class.AA']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(Strongest_Extension)\n\n\n\nprint('___SENTINEL___')\n","d945320ac452c4800fb5ea80ce6c062b"]
[{"$cut":{"chars":112550,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['xyzw', 'xyw'], ['yello', 'ell'], ['whattup', 'ptut'], ['efef', 'fee'], ['abab', 'aabb'], ['winemtt', 'tinem'], ['hello', 'olelh'], ['abcdefg', 'cde'], ['banana', 'nab'], ['python', 'nthy'], ['onomatopoeia', 'onat'], ['racecar', 'race'], ['mississippi', 'sis'], ['coffee', 'ffeco'], ['programming', 'ammiprogr'], ['anagram', 'margana'], ['mississipi', 'mississipi'], ['scdeis', 'sis'], ['python', 'nythy'], ['marganaa', 'marganaa'], ['anagram', 'anagram'], ['nthny', 'nythny'], ['ntnabhny', 'nthny'], ['nthnyanagram', 'nythny'], ['racanagramecar', 'race'], ['racanagrameca', 'race'], ['banana', 'nthnyanagram'], ['pyammscdeisiprogrthon', 'pyammiprogrthon'], ['mississipi', 'mississipionomatopoeia'], ['missiissippi', 'sis'], ['race', 'race'], ['racanagramecaanagram', 'anagram'], ['mississippi', 'siss'], ['coffee', 'ffolelheco'], ['miffecossissipi', 'miffescossissipi'], ['ntnabhny', 'anagrammiffescossissipi'], ['mississispi', 'mississispi'], ['marganaaffolelheco', 'marganaaffolelheco'], ['mississispi', 'mississispii'], ['abcdefg', 'cmississipionomatopoeiade'], ['bananamissiissippi', 'nthnyanagram'], ['coffeemississpi', 'coffeemississpi'], ['mississispi', 'i'], ['hoeollo', 'olelh'], ['nythy', 'miffecossissipi'], ['onomatopoeia', 'nythy'], ['abcdefdg', 'abcdefg'], ['nthny', 'xbQkq'], ['mnythnyisssissipi', 'mississicdepi'], ['racanagrameca', 'racanagrameeca'], ['racecar', 'marganaamarganaaffolelheco'], ['olelnab', 'olelh'], ['marganaaffolelheico', 'marganaaffolelheico'], ['hoeollo', 'olelolelnabh'], ['sffecocdeis', 'sis'], ['onamississipit', 'onat'], ['racmarganaamarganaaffolelheco', 'rac'], ['onomatopoeia', 'olelh'], ['racanagrameca', 'racanagrameca'], ['b', 'nthnyanagram'], ['marganaamarganaaffolelhe', 'marganaamarganaaffolelheco'], ['xbQkq', 'xbQkq'], ['onmargafolelhecoat', 'onomatopoeia'], ['rac', 'racmarganaamarganaaffolelheco'], ['', ''], ['pyon', 'nythy'], ['nythy', 'anagrammiffescossissipi'], ['scmarganadeis', 'sis'], ['ammiprogr', 'marganaaffolelheco'], ['cdde', 'cde'], ['scmargeanadeis', 'scmarganadeis'], ['pyon', 'nythnythnyy'], ['onomatopoeia', 'onomatopoeia'], ['onat', 'sis'], ['coffeemississpisis', 'sis'], ['onomatopoeia', 'olelhh'], ['abcdefg', 'cmississispide'], ['siss', 'iscracecardeis'], ['ntnabhny', 'nthbananany'], ['siolelhhs', 'siolelhhs'], ['onamississipit', 'onamiffescossissipit'], ['ffeco', 'coffee'], ['cdde', 'coffee'], ['fffeco', 'coffee'], ['sisss', 'siiss'], ['anagraracescmarganadeiscarmmiffescossissipi', 'anagraracecarmmiffescossissipi'], ['anagraracescmarganadeiscarmmiffescossisisipi', 'anagraracecarmmiffescossissipi'], ['ntonamiffescossissipithbfffenany', 'nthbfffenany'], ['python', 'nyth'], ['scmarganadeis', 'scmarganadeis'], ['oleelh', 'olelh'], ['racanagramecar', ''], ['racanagrameeca', 'mississispi'], ['cmissipssispide', 'cmississispide'], ['nabb', 'nab'], ['misracanagramecarsissispi', 'mississispi'], ['misracanagramecarsissispi', 'mississiispi'], ['coffecoffeemississpisianagrams', 'siss'], ['mississipi', 'mississmisracanagramecarsissispiipi'], ['pyammscdeisiprogrthon', 'mississippi'], ['coffee', 'coffee'], ['sisssonamississipit', 'siis'], ['hhelnythyo', 'olelh'], ['mississipi', 'mississmisracanagramecarsisssispiipi'], ['coffeemississpisis', 'ssmarganaaffolelhecois'], ['marganaaffolelheco', 'racanagrameeca'], ['hweyyrnilrxfziojjsvvucserwzggunqinzqkihncxxfchhuxjvlquvdnxlirainugnaolmshzhdwmnmvznr', 'vnzrhmweyyrnilrxfziojjsvvucserwzggunqinzqkihncxxfchhuxjvlquvdnxlirainug"}},"f893d21c2c11d2da6c0465888bb32af5"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['abcd', 'abd'], ['hello', 'ell'], ['whassup', 'psus'], ['abab', 'baa'], ['efef', 'eeff'], ['himenss', 'simen']]\n    results = [False, True, False, True, False, True]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(cycpattern_check)\n\n\n\nprint('___SENTINEL___')\n","1c92b0a193d4713bc7105eaca19cf423"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[7], [-78], [3452], [346211], [-345821], [-2], [-45347], [0], [2368], [-111], [-2468031], [1010101], [-123456789], [-590], [125890], [444444444], [-1111111], [-222222222], [-591], [444444443], [444444445], [-222222221], [-1111110], [-592], [-222222224], [-222222223], [-7], [2369], [-2468032], [-112], [125889], [-589], [-588], [-123456790], [-593], [-2468033], [-222222225], [-222222226], [2367], [-110], [-113], [444444442], [1010100], [-114], [-67], [-586], [-1111112], [1010099], [1010098], [-222222227], [-2468034], [-123456791], [2366], [-9], [-123456792], [-587], [-1111113], [-2468035], [444444446], [11], [-222222220], [444444447], [-109], [-6], [-585], [125891], [-93], [-10], [12], [125888], [-115], [125892], [13], [-48], [37], [-97], [-94], [-92], [-98], [-11], [-1], [36], [2370], [14], [-1111109], [15], [-222222228], [-123456793], [34], [-16], [35], [10], [-68], [444444441], [-1111114], [-69], [-222222229], [444444440], [-15], [444444439], [33], [-5], [-2468036], [-1111115], [-53], [-358947934856], [54837398243239], [-78653034582], [-1021021021021021021021021021021021021021021021021], [-923456789], [9876543210], [246813579], [-1234567890987654321], [11111], [-2222], [54837398243240], [-923456790], [11112], [-358947934857], [-1234567890987654320], [-923456792], [-2221], [-1021021021021021021021021021021021021021021021020], [-2219], [54837398243238], [-70], [-71], [11110], [-2223], [-1021021021021021021021021021021021021021021021019], [-18], [-358947934858], [-2220], [-1021021021021021021021021021021021021021021021018], [-923456788], [3], [-1234567890987654322], [-17], [-78653034583], [54837398243241], [246813578], [-1021021021021021021021021021021021021021021021022], [-85], [-923456793], [-78653034584], [11109], [-8], [-59], [-19], [-66], [-923456794], [-923456787], [-58], [-923456785], [-2218], [9876543211], [-80], [46], [-358947934855], [-60], [-81], [4], [-1234567890987654323], [246813577], [-12], [-923456786], [-1021021021021021021021021021021021021021021021017], [-358947934854], [11107], [19], [5], [9876543212], [-1021021021021021021021021021021021021021021021016], [54837398243242], [-61], [-14], [18], [-1021021021021021021021021021021021021021021021015], [11106], [-13], [20], [-56], [-923456795], [11108], [-1021021021021021021021021021021021021021021021023], [17], [2], [-923456784], [-65], [1], [54837398243243], [89], [-64], [-82], [-63], [64], [11105], [90], [-358947934859], [99], [65], [11104], [11113], [-83], [6], [-62], [9876543213], [53], [-84], [-2224], [66], [11103], [-358947934853], [-86], [67], [-35], [-1021021021021021021021021021021021021021021021013], [-2217], [-2216], [9876543215], [-923456783], [-3], [-57], [-77777777777777777777], [22222222222], [-33], [13579], [-2468], [2147483647], [11111111111111111111], [-11111111111111111111], [-2147483648], [9876543209], [9876543208], [246813580], [246813581], [-1234567890987654319], [16], [78], [77], [76], [-78653034581], [-1234567890987654318], [75], [-2225], [58], [-78653034585], [246813576], [39], [246813583], [-1234567890987654324], [38], [48], [-21], [40]]\n    results = [(0, 1), (1, 1), (2, 2), (3, 3), (3, 3), (1, 0), (2, 3), (1, 0), (3, 1), (0, 3), (5, 2), (3, 4), (4, 5), (1, 2), (3, 3), (9, 0), (0, 7), (9, 0), (0, 3), (8, 1), (8, 1), (8, 1), (1, 6), (1, 2), (9, 0), (8, 1), (0, 1), (2, 2), (6, 1), (1, 2), (3, 3), (1, 2), (2, 1), (4, 5), (0, 3), (5, 2), (8, 1), (9, 0), (2, 2), (1, 2), (0, 3), (9, 0), (4, 3), (1, 2), (1, 1), (2, 1), (1, 6), (3, 4), (4, 3), (8, 1), (6, 1), (3, 6), (3, 1), (0, 1), (4, 5), (1, 2), (0, 7), (5, 2), (9, 0), (0, 2), (9, 0), (8, 1), (1, 2), (1, 0), (1, 2), (2, 4), (0, 2), (1, 1), (1, 1), (4, 2), (0, 3), (3, 3), (0, 2), (2, 0), (0, 2), (0, 2), (1, 1), (1, 1), (1, 1), (0, 2), (0, 1), (1, 1), (2, 2), (1, 1), (1, 6), (0, 2), (9, 0), (3, 6), (1, 1), (1, 1), (0, 2), (1, 1), (2, 0), (8, 1), (1, 6), (1, 1), (8, 1), (9, 0), (0, 2), (7, 2), (0, 2), (0, 1), (6, 1), (0, 7), (0, 2), (5, 7), (6, 8), (6, 5), (32, 17), (4, 5), (5, 5), (4, 5), (9, 10), (0, 5), (4, 0), (8, 6), (4, 5), (1, 4), (4, 8), (10, 9), (4, 5), (3, 1), (33, 16), (2, 2), (7, 7), (1, 1), (0, 2), (1, 4), (3, 1), (31, 18), (1, 1), (5, 7), (4, 0), (32, 17), (5, 4), (0, 1), (10, 9), (0, 2), (5, 6), (7, 7), (5, 4), (33, 16), (1, 1), (3, 6), (6, 5), (1, 4), (1, 0), (0, 2), (0, 2), (2, 0), (4, 5), (4, 5), (1, 1), (4, 5), (3, 1), (4, 6), (2, 0), (2, 0), (4, 8), (2, 0), (1, 1), (1, 0), (9, 10), (4, 5), (1, 1), (5, 4), (31, 18), (5, 7), (1, 4), (0, 2), (0, 1), (5, 5), (32, 17), (8, 6), (1, 1), (1, 1), (1, 1), (31, 18), (2, 3), (0, 2), (2, 0), (1, 1), (3, 6), (2, 3), (32, 17), (0, 2), (1, 0), (5, 4), (1, 1), (0, 1), (7, 7), (1, 1), (2, 0), (2, 0), (1, 1), (2, 0), (1, 4), (1, 1), (4, 8), (0, 2), (1, 1), (2, 3), (0, 5), (1, 1), (1, 0), (2, 0), (4, 6), (0, 2), (2, 0), (4, 0), (2, 0), (1, 4), (4, 8), (2, 0), (1, 1), (0, 2), (31, 18), (2, 2), (3, 1), (4, 6), (4, 5), (0, 1), (0, 2), (0, 20), (11, 0), (0, 2), (0, 5), (4, 0), (6, 4), (0, 20), (0, 20), (7, 3), (5, 5), (6, 4), (6, 3), (5, 4), (8, 11), (1, 1), (1, 1), (0, 2), (1, 1), (5, 6), (9, 10), (0, 2), (3, 1), (1, 1), (5, 6), (5, 4), (0, 2), (5, 4), (10, 9), (1, 1), (2, 0), (1, 1), (2, 0)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(even_odd_count)\n\n\nprint('___SENTINEL___')\n","4db9bb0ce8be9b96cb8ccabf31aac5f4"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[-12], [123]]\n    results = [(1, 1), (1, 2)]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(even_odd_count)\n\n\n\nprint('___SENTINEL___')\n","9aece702df93eee0db5b40ee2bcea89c"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[19], [152], [251], [426], [500], [1], [4], [43], [90], [94], [532], [900], [994], [1000], [111], [888], [2], [10], [39], [100], [399], [871], [3], [5], [37], [870], [38], [889], [400], [872], [110], [6], [8], [7], [101], [109], [40], [36], [41], [35], [102], [34], [112], [113], [114], [9], [873], [874], [33], [891], [103], [42], [108], [868], [11], [869], [99], [22], [51], [887], [52], [890], [63], [12], [62], [55], [54], [14], [21], [45], [107], [13], [20], [398], [106], [98], [53], [23], [115], [105], [44], [56], [32], [104], [97], [57], [892], [31], [397], [886], [875], [64], [30], [26], [50], [96], [91], [46], [867], [885], [866], [18], [89], [88], [883], [15], [884], [29], [276], [388], [877], [935], [999], [864], [923], [603], [843], [936], [934], [865], [878], [937], [389], [933], [876], [95], [932], [998], [924], [997], [938], [386], [925], [385], [922], [387], [602], [842], [921], [275], [863], [840], [277], [931], [930], [844], [274], [927], [384], [928], [845], [841], [27], [996], [926], [28], [604], [279], [601], [278], [273], [929], [272], [280], [281], [600], [271], [605], [93], [879], [24], [995], [383], [25], [839], [382], [606], [390], [599], [598], [939], [48], [391], [78], [392], [992], [79], [76], [71], [862], [77], [861], [75], [80], [993], [70], [72], [61], [282], [81], [69], [73], [859], [74], [846], [393], [860], [920], [847], [858], [49], [82]]\n    results = ['xix', 'clii', 'ccli', 'cdxxvi', 'd', 'i', 'iv', 'xliii', 'xc', 'xciv', 'dxxxii', 'cm', 'cmxciv', 'm', 'cxi', 'dccclxxxviii', 'ii', 'x', 'xxxix', 'c', 'cccxcix', 'dccclxxi', 'iii', 'v', 'xxxvii', 'dccclxx', 'xxxviii', 'dccclxxxix', 'cd', 'dccclxxii', 'cx', 'vi', 'viii', 'vii', 'ci', 'cix', 'xl', 'xxxvi', 'xli', 'xxxv', 'cii', 'xxxiv', 'cxii', 'cxiii', 'cxiv', 'ix', 'dccclxxiii', 'dccclxxiv', 'xxxiii', 'dcccxci', 'ciii', 'xlii', 'cviii', 'dccclxviii', 'xi', 'dccclxix', 'xcix', 'xxii', 'li', 'dccclxxxvii', 'lii', 'dcccxc', 'lxiii', 'xii', 'lxii', 'lv', 'liv', 'xiv', 'xxi', 'xlv', 'cvii', 'xiii', 'xx', 'cccxcviii', 'cvi', 'xcviii', 'liii', 'xxiii', 'cxv', 'cv', 'xliv', 'lvi', 'xxxii', 'civ', 'xcvii', 'lvii', 'dcccxcii', 'xxxi', 'cccxcvii', 'dccclxxxvi', 'dccclxxv', 'lxiv', 'xxx', 'xxvi', 'l', 'xcvi', 'xci', 'xlvi', 'dccclxvii', 'dccclxxxv', 'dccclxvi', 'xviii', 'lxxxix', 'lxxxviii', 'dccclxxxiii', 'xv', 'dccclxxxiv', 'xxix', 'cclxxvi', 'ccclxxxviii', 'dccclxxvii', 'cmxxxv', 'cmxcix', 'dccclxiv', 'cmxxiii', 'dciii', 'dcccxliii', 'cmxxxvi', 'cmxxxiv', 'dccclxv', 'dccclxxviii', 'cmxxxvii', 'ccclxxxix', 'cmxxxiii', 'dccclxxvi', 'xcv', 'cmxxxii', 'cmxcviii', 'cmxxiv', 'cmxcvii', 'cmxxxviii', 'ccclxxxvi', 'cmxxv', 'ccclxxxv', 'cmxxii', 'ccclxxxvii', 'dcii', 'dcccxlii', 'cmxxi', 'cclxxv', 'dccclxiii', 'dcccxl', 'cclxxvii', 'cmxxxi', 'cmxxx', 'dcccxliv', 'cclxxiv', 'cmxxvii', 'ccclxxxiv', 'cmxxviii', 'dcccxlv', 'dcccxli', 'xxvii', 'cmxcvi', 'cmxxvi', 'xxviii', 'dciv', 'cclxxix', 'dci', 'cclxxviii', 'cclxxiii', 'cmxxix', 'cclxxii', 'cclxxx', 'cclxxxi', 'dc', 'cclxxi', 'dcv', 'xciii', 'dccclxxix', 'xxiv', 'cmxcv', 'ccclxxxiii', 'xxv', 'dcccxxxix', 'ccclxxxii', 'dcvi', 'cccxc', 'dxcix', 'dxcviii', 'cmxxxix', 'xlviii', 'cccxci', 'lxxviii', 'cccxcii', 'cmxcii', 'lxxix', 'lxxvi', 'lxxi', 'dccclxii', 'lxxvii', 'dccclxi', 'lxxv', 'lxxx', 'cmxciii', 'lxx', 'lxxii', 'lxi', 'cclxxxii', 'lxxxi', 'lxix', 'lxxiii', 'dccclix', 'lxxiv', 'dcccxlvi', 'cccxciii', 'dccclx', 'cmxx', 'dcccxlvii', 'dccclviii', 'xlix', 'lxxxii']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(int_to_mini_roman)\n\n\nprint('___SENTINEL___')\n","2e4f5cd4bcee0e98ec9eb56eb12a6792"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[19], [152], [426]]\n    results = ['xix', 'clii', 'cdxxvi']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(int_to_mini_roman)\n\n\n\nprint('___SENTINEL___')\n","6c7dc76fbaff7f1a0c7a17bd70e81a7c"]
[{"$cut":{"chars":23926,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[3, 4, 5], [1, 2, 3], [10, 6, 8], [2, 2, 2], [7, 24, 25], [10, 5, 7], [5, 12, 13], [15, 8, 17], [48, 55, 73], [1, 1, 1], [2, 2, 10], [9, 12, 15], [20, 21, 29], [7, 9, 12], [8, 15, 17], [6, 8, 10], [4, 7, 8], [12, 16, 20], [3, 5, 6], [3, 4, 6], [5, 13, 12], [15, 17, 6], [12, 21, 20], [5, 4, 8], [12, 21, 21], [16, 7, 20], [16, 8, 20], [3, 5, 3], [16, 5, 20], [12, 10, 20], [6, 8, 13], [12, 11, 20], [16, 6, 6], [15, 6, 21], [5, 12, 20], [3, 8, 7], [20, 7, 20], [20, 21, 21], [21, 21, 21], [10, 19, 19], [5, 16, 20], [20, 21, 30], [6, 6, 21], [12, 7, 20], [30, 8, 8], [20, 21, 23], [13, 16, 20], [5, 5, 17], [12, 4, 21], [19, 11, 20], [21, 5, 21], [21, 20, 21], [22, 5, 21], [16, 21, 21], [19, 11, 11], [13, 20, 23], [9, 8, 13], [12, 10, 10], [5, 12, 21], [20, 23, 21], [5, 12, 30], [6, 12, 20], [3, 4, 3], [5, 13, 21], [11, 10, 11], [13, 13, 23], [21, 17, 21], [16, 5, 21], [20, 5, 21], [30, 23, 21], [21, 21, 20], [9, 12, 14], [20, 5, 20], [20, 22, 20], [17, 5, 10], [5, 5, 5], [24, 23, 24], [11, 12, 11], [11, 11, 12], [3, 5, 21], [16, 9, 6], [5, 22, 21], [12, 13, 21], [20, 22, 5], [5, 6, 6], [20, 20, 20], [3, 16, 5], [22, 13, 21], [16, 8, 19], [8, 16, 18], [24, 8, 7], [20, 22, 31], [31, 23, 21], [21, 20, 20], [17, 8, 20], [20, 21, 20], [7, 24, 6], [6, 21, 21], [4, 23, 21], [24, 8, 8], [19, 19, 19], [12, 13, 12], [23, 21, 21], [20, 11, 20], [24, 24, 24], [22, 13, 5], [16, 9, 15], [22, 9, 5], [20, 23, 5], [11, 12, 15], [8, 12, 8], [10, 120, 240], [13, 14, 15], [25, 60, 65], [12, 35, 37], [10001, 10000, 1], [399, 456, 762], [383, 226, 495], [77, 110, 138], [2020, 2021, 1], [14, 76, 110], [12, 15, 15], [10001, 10000, 10000], [495, 226, 226], [495, 495, 495], [12, 383, 37], [10001, 10001, 10001], [11, 383, 37], [11, 9, 36], [10001, 10000, 10001], [12, 35, 138], [13, 14, 16], [2020, 1, 2020], [12, 25, 37], [495, 60, 495], [495, 60, 496], [60, 496, 496], [11, 456, 9], [12, 14, 16], [13, 14, 13], [12, 226, 36], [76, 16, 2020], [25, 65, 37], [10001, 495, 10001], [25, 65, 16], [35, 138, 35], [9, 10001, 10001], [15, 13, 13], [11, 12, 14], [12, 14, 60], [11, 119, 120], [120, 12, 15], [14, 10001, 2022], [65, 10001, 2022], [455, 399, 456], [16, 76, 2020], [10, 120, 10], [13, 456, 13], [2022, 75, 2020], [138, 138, 15], [119, 120, 240], [12, 2020, 37], [137, 36, 138], [496, 495, 495], [14, 60, 60], [13, 15, 13], [119, 383, 15], [14, 14, 14], [495, 59, 60], [383, 137, 495], [12, 2020, 12], [496, 10000, 10000], [9, 10000, 10001], [2020, 2019, 2019], [65, 60, 60], [75, 2020, 76], [16, 75, 2020], [35, 12, 35], [11, 12, 456], [65, 37, 37], [35, 240, 138], [137, 36, 455], [10, 76, 2022], [384, 37, 11], [384, 385, 11], [26, 25, 26], [10000, 35, 10000], [10, 384, 13], [2020, 12, 2019], [25, 383, 2019], [25, 24, 65], [65, 10000, 10001], [11, 457, 9], [14, 495, 14], [399, 120, 13], [65, 59, 65], [2019, 138, 138], [10002, 10001, 10002], [226, 65, 60], [10000, 10001, 2022], [495, 496, 226], [1, 14, 14], [2020, 2019, 10000], [762, 120, 120], [2020, 2020, 24], [119, 383, 119], [15, 495, 14], [12, 66, 66], [2019, 2019, 2019], [11, 11, 9], [13, 14, 9999], [14, 10001, 14], [25, 37, 37], [137, 10, 455], [455, 38, 37], [35, 138, 138], [12, 15, 25], [456, 456, 495], [65, 10000, 65], [1, 13, 14], [66, 16, 16], [384, 12, 16], [10, 9, 119], [119, 10, 10], [383, 762, 383], [2019, 138, 139], [137, 455, 455], [14, 60, 14], [16, 10001, 35], [65, 2023, 2023], [65, 2023, 2019], [16, 10001, 10002], [12, 12, 12], [25, 384, 65], [37, 226, 495], [13,"}},"bff6e3cb448c636af56d85fe63dbd2db"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[3, 4, 5], [1, 2, 3]]\n    results = [True, False]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(right_angle_triangle)\n\n\n\nprint('___SENTINEL___')\n","2f9c43d4925dca3712107c989dc07a88"]
[{"$cut":{"chars":71767,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[['name', 'of', 'string']], [['name', 'enam', 'game']], [['aaaaaaa', 'bb', 'cc']], [['abc', 'cba']], [['play', 'this', 'game', 'of', 'footbott']], [['we', 'are', 'gonna', 'rock']], [['we', 'are', 'a', 'mad', 'nation']], [['this', 'is', 'a', 'prrk']], [['b']], [['play', 'play', 'play']], [['abcdefg', 'hijklmnop', 'qrstuvwxyz']], [['abacbdce', 'edcbacba', 'dbcaebda']], [['aabbcc', 'dddeee', 'fff']], [['abc', 'bcd', 'def', 'efg']], [['abcd', 'bcde', 'cdef', 'defg']], [['aaaa', 'bbbb', 'cccc']], [['hello']], [['xyz', 'pqr']], [['abc', 'defg']], [['aaa', 'bbb', 'ccc', 'aaa']], [['hellfffo']], [['aabbcc', 'aabbdbabcdcaebdacc', 'dddeee', 'fff']], [['aabbdbabcdcaebdacc', 'dddeee', 'fff']], [['helloyxyz', 'helloxyz']], [['pqr', 'pqr', 'pqr']], [['abcdefg', 'qrstuvwxyz', 'qrstuvwxyz']], [['xyyyz', 'xyyz', 'pqr']], [['rpqr', 'xyz', 'pqr']], [['hello', 'hello']], [['abc', 'aabbcc', 'defg']], [['helloxyz']], [['helloxyz', 'aaaa', 'helloxyz']], [['helloyxyz', 'aaaa', 'helloxyz']], [['hellfff', 'hellfffo', 'hellffbbbfo']], [['llo']], [['abc', 'aaaaa', 'aaaa']], [['helloxyabcdefgz', 'helloxyz']], [['abc', 'bcd', 'def', 'bbcd', 'efg']], [['rpqr', 'xyz', 'pqr', 'pqr']], [['abc', 'bcd', 'bbcd', 'efg']], [['helloyxyz', 'haaaaaello', 'helloxyz', 'helloyxyz']], [['abc', 'aabbcc', 'bcd', 'def', 'xyyyzbcd', 'bbcd', 'efg']], [['abcdefg', 'qrstuvwxyz', 'qrstuedcbacbavwxyz']], [['abc', 'baabbcccd', 'def', 'efg']], [['aaa', 'haaaaaello', 'bbb', 'ccc', 'aaa']], [['abcdefg', 'qrstuvwxbbbyz', 'qrstuvwxyz']], [['xyyyz', 'abcdefg', 'qrstuyz', 'qrstuvwxyz']], [['xyyyzbchelloyxyzd', 'abc', 'aabbcc', 'bcd', 'def', 'xyyyzbcd', 'bbcd', 'efqrstuvwxbbbyzg']], [['abacdbdce', 'edcbacba', 'dbcaebda']], [['helloxyabcdefgz', 'helaabbccloxyabcdefgz', 'helloxyz']], [['xyyyz', 'xyyz', 'efgxyyz', 'pqr']], [['zxyz', 'xyz', 'pqr']], [['aabbcc', 'aabbdbabcdcaebdacc', 'dddeee', 'fff', 'fff', 'dddeee', 'aabbdbabcdcaebdacc']], [['abcrpqrdefg', 'qrstuvwxyz']], [['helloyxyz', 'hellffbbbfohelloxyz', 'aaaa', 'helloxyz']], [['xyz', 'pqr', 'pqr']], [['qpqr', 'pqr', 'pqr', 'pqr']], [['abc', 'bcd', 'bbcd', '']], [['aabbdbabcdcaebdacc', 'abc', 'fff']], [['pqr', 'pqr', 'qr', 'pqr']], [['helloyxyz', 'haaaaaello', 'helloxyz', 'helloyxyz', 'haaaaaello']], [['aaaa', 'bbbb', 'cc']], [['aaa', 'haaaaaello', 'bbb', 'aa', 'aaa']], [['aabbcc', 'aabbdbabcdcaebdacc', 'dddeee', 'fff', 'fff', 'dddeee', 'aabbdbabcdcaebdaccabcdefg', 'dddeee']], [['helloxyabcdefgz', 'abacdbdce', 'helloxyz']], [['aabbdbabcdcaebdacc', 'abc', 'ff', 'fff']], [['bbbb', 'cc']], [['aaaa', 'bbbb', 'cc', 'bbbb']], [['aaaa', 'ccccc', 'cccc']], [['abacdbdce', 'edcbeacba']], [['aabbcc', 'aabbdbabcdcaebdacc', 'dddeee', 'aabbdbabcdcaebdaccdabcdefg', 'fff', 'fff', 'dddeee', 'aabbdbabcdcaebdaccabcdefg', 'dddeee']], [['zhelloxyz', 'helloxyabcdefgz', 'helaabbccloxyabcdefgz', 'helloxyz']], [['abcc', 'abc', 'fff']], [['xyxz', 'pqr', 'pqr']], [['abcd', 'bcde', 'cdef', 'defg', 'abcd']], [['abc', 'bcd', 'dbcaebda', 'bbcd', 'efg', 'bbcd']], [['aaaa', 'cccc', 'cccc']], [['bcde', 'cdef', 'defg']], [['zhelloxyz', 'helloxyz', 'aaaa', 'helloxyz']], [['zhelloxyz', 'helloxyz', 'aaaa', 'helloxyz', 'helloxyz']], [['helloyxyz', 'haaaaaello', 'aa', 'helloxyz', 'helloyxyz']], [['abc', 'baabbcccd', 'def']], [['qpqr', 'pqr', 'pqqr', 'pqr']], [['dddeee', 'aacdcaebdacc', 'fff']], [['abcdefg', 'qrstuvwxyz', 'abcdefg']], [['pqr', 'qr', 'pqr']], [['defg']], [['zxyz', 'xyz', 'pqr', 'pqr']], [['abcc', 'qrstuedcbacbavwxyz', 'abc', "}},"3c554b6599a899bca4591fceed7ffd3b"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[['name', 'of', 'string']], [['name', 'enam', 'game']], [['aaaaaaa', 'bb', 'cc']]]\n    results = ['string', 'enam', 'aaaaaaa']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(find_max)\n\n\n\nprint('___SENTINEL___')\n","d5b38dc10f8348156301376df024bb18"]
[{"$cut":{"chars":27570,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[5, 6, 10], [4, 8, 9], [1, 10, 10], [2, 11, 5], [4, 5, 7], [4, 5, 1], [0, 0, 0], [10, 0, 10], [0, 10, 5], [5, 0, 5], [2, 2, 2], [999, 1, 0], [0, 999, 1], [500, 500, 1000], [1, 10, 5], [0, 0, 5], [0, 0, 1], [999, 5, 5], [999, 5, 500], [999, 10, 5], [5, 6, 6], [999, 2, 1], [5, 5, 5], [0, 10, 500], [5, 10, 5], [1, 0, 1], [6, 0, 6], [0, 4, 0], [10, 999, 4], [9, 0, 10], [999, 2, 500], [999, 0, 0], [7, 7, 6], [9, 1000, 10], [4, 10, 4], [999, 1, 999], [0, 5, 1], [3, 9, 4], [7, 6, 6], [10, 5, 10], [5, 10, 10], [999, 2, 10], [999, 0, 999], [999, 1, 1], [1000, 1, 999], [6, 10, 5], [999, 6, 7], [6, 0, 10], [10, 5, 5], [4, 5, 5], [998, 7, 4], [7, 4, 6], [0, 500, 0], [0, 1, 1], [997, 2, 10], [1000, 999, 998], [997, 999, 0], [998, 7, 10], [500, 500, 500], [997, 0, 3], [0, 0, 999], [4, 999, 4], [9, 0, 7], [5, 7, 5], [1000, 6, 998], [2, 10, 10], [6, 2, 499], [999, 2, 7], [999, 999, 999], [5, 10, 500], [10, 10, 10], [3, 10, 4], [3, 1000, 2], [0, 499, 0], [999, 6, 5], [9, 999, 7], [9, 999, 4], [500, 10, 500], [999, 5, 2], [6, 6, 6], [998, 10, 10], [5, 10, 1000], [499, 1, 5], [1, 9, 0], [0, 6, 7], [11, 6, 11], [11, 5, 5], [7, 0, 10], [0, 7, 7], [0, 5, 5], [10, 499, 500], [1, 499, 6], [6, 1, 7], [7, 0, 499], [999, 7, 10], [0, 999, 4], [1000, 4, 998], [2, 3, 1], [999, 2, 998], [1, 10, 1], [999, 999, 11], [1000, 0, 0], [6, 5, 1000], [11, 11, 6], [3, 499, 500], [0, 500, 6], [0, 1000, 1000], [1000, 0, 1000], [500, 500, 800], [500, 500, 499], [1000, 1000, 500], [1000, 0, 500], [250, 750, 300], [800, 300, 600], [300, 700, 200], [200, 0, 1], [300, 1000, 600], [500, 801, 801], [800, 0, 600], [800, 0, 599], [800, 601, 600], [800, 700, 600], [801, 500, 499], [800, 1, 600], [800, 601, 599], [1000, 801, 0], [500, 501, 500], [501, 501, 501], [599, 501, 501], [801, 499, 801], [501, 500, 700], [800, 700, 201], [499, 800, 499], [1000, 500, 500], [1000, 500, 1000], [500, 500, 498], [601, 600, 499], [1000, 1000, 1000], [250, 250, 600], [1, 601, 600], [1000, 801, 801], [498, 1000, 1000], [250, 201, 600], [801, 801, 801], [200, 1, 1], [599, 501, 600], [800, 202, 201], [800, 600, 700], [700, 800, 600], [499, 800, 500], [1000, 0, 1], [800, 801, 500], [800, 600, 800], [501, 749, 750], [600, 749, 750], [500, 800, 749], [501, 501, 500], [501, 502, 499], [799, 601, 600], [501, 749, 0], [600, 499, 601], [600, 749, 0], [0, 600, 499], [300, 1000, 300], [1, 801, 599], [1, 599, 599], [1000, 800, 801], [601, 601, 499], [600, 1000, 600], [1000, 1000, 998], [700, 800, 500], [750, 750, 300], [800, 202, 250], [800, 300, 800], [201, 750, 1000], [249, 700, 250], [700, 749, 600], [499, 500, 500], [600, 601, 749], [601, 600, 601], [601, 601, 601], [501, 748, 0], [300, 200, 300], [799, 1, 600], [1000, 997, 998], [499, 700, 499], [1, 600, 599], [599, 600, 601], [500, 748, 501], [601, 997, 501], [600, 800, 503], [799, 600, 499], [500, 500, 998], [800, 801, 700], [501, 799, 502], [700, 249, 699], [499, 499, 800], [599, 200, 601], [801, 600, 599], [0, 700, 600], [503, 1, 1], [700, 501, 748], [202, 0, 1000], [500, 500, 750], [1, 801, 500], [251, 250, 200], [800, 500, 498], [801, 800, 500], [800, 201, 201], [750, 1000, 600], [498, 599, 600], [1, 600, 1], [1000, 800, 0], [500, 1, 504], [498, 599, 498], [749, 700, 600], [1000, 1, 600], [601, 599, 499], [201, 801, 801], [748, 0, 501], [251, 499, 498], [1000, 999, 1000], [498, 499, 800], [801, 1, 1000], [0, 999, 999], [500, 498, 500], [800, 500, 799], [998, 801, 998], [497, 1000, 1000], [300, 800, 800], [749,"}},"3f8dd6a2f878529829d674badf92ca06"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[5, 6, 10], [4, 8, 9], [1, 10, 10], [2, 11, 5]]\n    results = [[11, 4], [12, 1], [11, 0], [7, 0]]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(eat)\n\n\n\nprint('___SENTINEL___')\n","19a2a2acf773e2bb0c4234c93fe30006"]
[{"$cut":{"chars":28041,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[['**', '*', '+'], [2, 3, 4, 5]], [['+', '*', '-'], [2, 3, 4, 5]], [['//', '*'], [7, 3, 4]], [['+', '-', '*', '//'], [5, 2, 3, 4, 7]], [['**', '-', '//'], [9, 2, 5, 3]], [['*', '-', '*', '//'], [3, 6, 2, 4, 2]], [['-', '//', '+', '*'], [10, 2, 4, 3, 6]], [['+', '-', '*', '**'], [2, 3, 4, 5, 2]], [['*', '+', '-'], [1, 2, 3, 4]], [['-', '+', '*', '**'], [5, 4, 3, 2, 1]], [['*', '//', '-'], [10, 5, 3, 2]], [['**', '+', '-'], [3, 2, 1, 4]], [['*', '+', '//'], [2, 5, 3, 8]], [['-', '+', '*', '**'], [5, 3, 3, 2, 1]], [['*', '-', '*'], [10, 5, 3, 2]], [['-', '//', '-'], [10, 5, 3, 2]], [['*', '*', '-'], [10, 5, 3, 2]], [['-', '+', '*', '**'], [5, 3, 3, 2, 2]], [['*', '*', '-'], [9, 10, 3, 2]], [['*', '-', '*', '//'], [2, 6, 2, 4, 2]], [['+', '-', '*', '*'], [2, 3, 4, 5, 2]], [['*', '+', '//'], [2, 3, 8, 5]], [['-', '//', '+', '*'], [9, 2, 4, 3, 6]], [['*', '+', '//'], [2, 5, 4, 8]], [['*', '-', '**'], [10, 5, 3, 2]], [['-', '+', '*', '**'], [5, 3, 2, 2, 2]], [['-', '//', '+'], [10, 2, 4, 3]], [['*', '//', '//'], [2, 5, 8, 5]], [['-', '//', '-'], [10, 2, 3, 2]], [['*', '//'], [2, 5, 5]], [['-', '+', '**', '**'], [5, 3, 3, 2, 2]], [['**', '**', '//'], [9, 2, 5, 3]], [['*', '-', '*', '//'], [2, 6, 2, 3, 2]], [['*', '//', '+'], [2, 5, 8, 5]], [['-', '+', '*', '**'], [5, 4, 3, 2, 2]], [['//', '//', '+'], [2, 4, 3, 4]], [['+', '//', '//'], [2, 5, 4, 8]], [['**', '//', '//'], [2, 5, 4, 8]], [['**', '+', '//'], [2, 5, 4, 8]], [['*', '//', '//'], [2, 3, 8, 5]], [['-', '//', '+', '*', '*'], [10, 2, 4, 2, 6, 2]], [['*', '-', '*', '*'], [10, 5, 3, 2, 5]], [['**', '+', '-'], [3, 2, 0, 4]], [['-', '+', '*', '**'], [5, 5, 3, 2, 2]], [['-', '//', '+', '*', '*'], [10, 2, 4, 2, 5, 2]], [['**', '**', '//'], [9, 2, 5, 4]], [['-', '-', '+', '*', '*'], [10, 2, 4, 2, 5, 2]], [['*', '*', '-'], [10, 4, 3, 2]], [['-', '+', '*', '**'], [8, 4, 2, 2, 2]], [['+', '//', '*', '**'], [2, 3, 4, 5, 2]], [['//', '+', '//'], [2, 4, 3, 4]], [['-', '+', '-', '**'], [5, 4, 3, 2, 1]], [['-', '+', '**', '**'], [5, 5, 3, 2, 2]], [['-', '+', '**'], [5, 3, 3, 2]], [['+', '-', '*', '**'], [8, 3, 4, 5, 2]], [['+', '//', '*', '**'], [2, 3, 3, 5, 2]], [['-', '+', '-', '**', '**'], [5, 4, 3, 2, 1, 5]], [['-', '//', '+', '*', '*'], [10, 2, 4, 3, 5, 2]], [['-', '+', '*', '**', '*'], [5, 3, 2, 2, 2, 2]], [['**', '**', '//'], [9, 2, 6, 4]], [['//', '+', '//'], [1, 4, 3, 4]], [['+', '-', '*', '**', '+'], [2, 2, 3, 4, 5, 2]], [['*', '*', '-'], [10, 5, 10, 2]], [['-', '//', '-'], [2, 3, 6, 2]], [['-', '+', '**', '**'], [5, 3, 3, 2, 1]], [['+', '+', '//'], [6, 4, 3, 8]], [['//', '+', '//'], [8, 4, 3, 4]], [['**', '//'], [9, 5, 4]], [['**', '+', '-'], [4, 2, 0, 4]], [['*', '-', '**'], [10, 5, 2, 6]], [['-', '+', '**'], [10, 3, 3, 2]], [['**', '+', '//'], [8, 5, 4, 8]], [['**', '+', '-'], [2, 2, 2, 4]], [['*', '**', '//', '-'], [10, 5, 3, 3, 2]], [['-', '//', '+', '//', '*', '*'], [10, 2, 4, 3, 5, 2, 4]], [['**', '+', '-'], [0, 2, 1, 4]], [['-', '//', '-'], [1, 5, 3, 2]], [['//', '-'], [1, 5, 3]], [['-', '-', '//'], [1, 5, 3, 2]], [['//', '+', '*', '**'], [5, 3, 3, 2, 2]], [['**', '+', '-'], [2, 8, 2, 4]], [['*', '//', '+'], [2, 5, 8, 6]], [['-', '+', '**'], [5, 3, 2, 3]], [['*', '-'], [10, 5, 2]], [['-', '+', '*', '**', '*'], [5, 3, 2, 2, 2, 4]], [['**', '+', '-'], [3, 2, 0, 5]], [['*', '*'], [9, 10, 3]], [['//', '+'], [4, 3, 4]], [['-', '+', '*', '**'], [8, 4, 2, 1, 2]], [['*', '-', '*', '*', '-'], [10, 5, 3, 2, 5, 3]], [['*', '//'], [2, 3, 8]], [['**',"}},"416eb3ce77a0c5a7333728f037a33416"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[['+', '*', '-'], [2, 3, 4, 5]]]\n    results = [9]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(do_algebra)\n\n\n\nprint('___SENTINEL___')\n","666db06687340d072b91d98dd51d2e9d"]
[{"$cut":{"chars":51686,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['AsDf'], ['1234'], ['ab'], ['#a@C'], ['#AsdfW^45'], ['#6@2'], ['#$a^D'], ['#ccc'], [''], ['ABCDEFG'], ['racecar'], ['AbCdEfGhI'], ['tH1s Is A t3sT!'], ['can you solve this problem?'], ['!!!!1234!!!!'], ['aaBBccDDee'], ['AbCdEfG'], ['YarraY'], ['!!34!!!!'], ['!!!!1234!!!3!'], ['aaABCDEFGBBccDDee'], ['tuTe'], ['tuuTe'], ['aaaaBBccDDeeABCDEFGBBccDDee'], ['!!!!1!234!!!!!!'], ['!!!!1aaABCDEFGBBccDDee234!!!!'], ['Y!!!!1234!!!3!arraY'], ['tuuTeaaaaBBccDDeeABCDEFGBBccDDee'], ['iqe'], [' AbttH1s Is A t3sT!G'], ['racecacr'], ['aaaaBBccDDeeABCDEF!!!!1234!!!!e'], ['DRl'], [' AbttHt1s Is A t3sT!G'], ['!!!!'], [' AbttHt1s Is A ABCDEFGt3sT!G'], [' AbttHt1s Is A t3s AbttHt1s Is A t3sT!GT!G'], ['AdEfGhI'], ['tuuTeaaaaBBccDDeeABeCDEFGBBccDDee'], ['rYarraaY'], ['qCjYuVc'], ['ie'], ['np'], ['rs'], ['ii!!34!!!!e'], ['!!!!12434!!!3!'], [' A3sT!G'], ['!!!!1aaABCDEFGBBccDDee234!!!aaaaBBccDDeeABCDEF!!!!1234!!!!e!'], ['AbCbfddEfG'], ['aaaaBBee'], ['tuuTeaaaaBBccDDeeABCDEFGaaABCDEFGBBccDDeeBBccDDee'], ['tuuTeaDDee'], ['can you soqCjYuVclve this pro AbttHt1s Is A ABCDEFGt3sT!Gblem?'], ['!!!!1aaABCDEFGBBccDDee234!!!aaaaBBccDDeeABCDEF!!!!1234!!e!'], ['racectuuTeaaaaBFGBBccDDeear'], ['!!!!1aaABCDEFGBBccDDee234!tuTe!!!'], ['aaABCDEFGBBaaaaBBeeccDDee'], ['aaABCDEFGBBaaaaBBeeccDDeae'], ['raceccr'], ['ii!!34!!!!!e'], ['racecacr!!34!!!!'], ['raceccrtuuTeaaaaBBccDDeeABCDEFGBBccDDee'], ['!!!!!1234!!!!!!!1234!!!!'], [' AbttH1s tuuTeaaaaBBccDDtuTeeeABCDEFGaaABCDEFGBBeccDDeeBBccDDeeIs A t3sT!G'], ['Y!!!!!1234!!!3!arraY'], ['!!!!!!!!1aaABCDEFGBBccDDee234!tuTe!!!'], ['ii!aaaaBBccDDeeABCDEFGBBccDDee!34!!!!e'], ['racecacr34!!!!'], ['!ii!!34!!!!e'], ['aaaaaBBccDDeeABCDEF!!!!1234!!!!e'], ['DR!!!!1aaABCDEFGBBccDDee234!!!aaaaBBccDDeeABCDEF!!!!1234!!!!e!l'], ['ii!!34!!!!'], ['YY'], ['tuuTeaaBBccDDeeBBccDDee'], ['aaBBcDDee'], ['racecacr34!!!!!'], ['Y!!!!1234!!!!1234!!!!!!!3!arraY'], ['!!!!!1234!!!!!!1234!!!!'], ['Y!!!!arraY'], ['tuuTeaaaaBBccDDeeABeCDEFGBBctuuTeaaaaBBccDDeeABeCDEFGBBccDDeecDDee'], ['tH1s Is A t3s AbttH1s Is A t3sT!GT!'], ['!!!!!'], ['ii!!34!!!!!1234!!!3!!!!'], ['!!!edEfG'], ['iqeYY'], ['tuuTeaaaaBBccDDeeABCDEFGaaABCDEFGBBccDDeeBBccDracecacr34!!!!!Dee'], ['DRRl'], ['!!!EedEfG'], ['Y!!!!123tuTe4!!!3!arraY'], ['tuuTeaaaaBBccDDeeABCDEFGaaABCDEFGBBccDDeeBBccDracecacr34!!!!!DeeABCDEFG'], ['!!racecacr34!!!!!!edEfG'], ['rYarrcan you solve this problem?aaY'], ['raceccr!!!!!1234!!!!!!!!1234!!!!'], ['AAdEfGhIBCDEFG'], [' AbttH1s !G'], [' AbttHt1s Is A ABCDEFGt3sT!!G'], ['pnp'], ['!ii!!34!!!!e!!!!1aaABCDEFGBBccDDee234!tuTe!!!'], ['qCjCYujVc'], ['ii!!34!!!!!!e'], [' AbttHt1s Is A t3s Abtt!Ht1s Is A t3sT!GT!G'], ['aaaaBBccDDeeABCDEFGBBccDrsDee'], ['tuuTeaaaaBBccFGaaABCDEFGBBccDDeeBBccDDee'], ['!!3!!1234!!!3!'], [' AtbttH1s Is A t3sTiqeYY!G'], ['tuuTeaaaaBBccFGaaABCDEFGBBccDDeeBBccDDeerYarraaY'], ['iqeraceccr!!!!!1234!!!!!!!!1234!!!!'], ['Y!!!!1234!!!!!!!1234!!!!!!!1234!!!!!3!arraY'], ['äëïöü'], ['अनुपम'], ['মুকুল'], ['네이버'], ['😀😂😎'], ['ΑβγΔ'], ['abc日本語def'], ['Это тестовая строка'], ['다음 네이버 블로그'], ['اختبار تحويل الحالات'], ['اختبار تحويل الحالاتabc日語def'], ['अমুকুল'], ['다음'], ['अমুকুমল'], ['😎😀😂😎'], ['다음 네이버 블로تحويل그'], ['😂😎😀😂😎'], ['😎😎😀😂😎'], ['😀😂اختبار😎'], ['Эäëïöüто тестовая строка'], ['الحالات'], ['अমুকল'], ['lxYMHvkfU'], ['Эäëïöüто тесअমুকলрока'], ['अমুমল'], ['😎😂😎😀😂😎'], ['abcdef'], ['다음 네이로تحويل그'], ['अनु😀😂😎पम'], ['अমুকअমুমলুল'], ['احلحالاتabc日語def'], ['Эäëïöüто тесअমুকললрока'], ['다다음 네이다버 블로그'], ['अমুকুমমল'], ['اختبار تحويل الحالتا"}},"5c07bbe41cfc99b4dd6b2446214b8b01"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['1234'], ['ab'], ['#a@C']]\n    results = ['4321', 'AB', '#A@c']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(solve)\n\n\n\nprint('___SENTINEL___')\n","01ee41336070f0e67ccc122a059b841a"]
[{"$cut":{"chars":115419,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [['Hello world'], [''], ['A B C'], ['password'], ['5873hajsdklh'], ['This is a long string to hash to MD5'], [' \\t \\n \\r \\x0c '], ['89704560917293019'], ['abc'], ['abcd1234'], ['John Doe 1234!'], ['\\n\\t   '], ['this is a test'], ['test123'], ['ab'], ['a89704560917293019bc'], ['\\n\\t5873hajsdklh   '], ['abcd12'], ['  \\t \\n \\r \\x0c '], ['  \\t \\n \\r'], ['ab4'], ['ab4  \\t \\n \\r \\x0c '], ['this is st'], [' \\t \\n \\r'], ['this is a'], ['t his is  st'], ['abb'], ['5873ha  \\t \\n \\rjsdklh'], ['athis is abcstbb'], ['athiisathis is abcstbbbcstbb'], ['bab'], ['abcd1 \\tab4 \\n \\r2'], ['897047560917293019'], ['athis iathis is aba89704560917293019bccstbbs abcstbb'], ['\\n\\t58kl5h   '], ['Ze'], ['Thhis is a long string to hash to MD5'], [' \\t \\n \\r \\x0c abcd12'], ['teathabcstbbbcsbtbb123'], ['89704560\\n\\t   917293019'], ['5873ha  \\t \\nathis is abcstbb \\rjsdklh'], ['abcd1 \\tabb4 \\n \\r2'], ['thiab4s iabcd1234s a'], ['thish is a'], ['this is s'], ['8970456091Ze7293019'], ['athis is habcstbb'], ['atis is abcstbb'], ['5873ha  \\t \\n \\rjsdkl\\rh'], ['89704e56091Ze7293019'], ['ZZee'], ['baathis is abcstbbb'], ['abcd1'], ['this is ZZeea'], ['  \\t \\n \\r\\r \\x0c ab'], ['Johne Doe 1234!'], ['thiaabcd1 \\tabb4 \\n \\r2b4s iabcd1234s a'], ['athis iathis is aba897045609147293019bccstbbs abcstbb'], ['89704e56091Ze729301t his is  st9'], ['thish is aa'], ['rbm'], ['ts'], ['This is a long st hash to MD5'], ['5873ha  \\t \\nathis is  abcstbb \\rjsdklh'], ['thish is aaabc'], ['teathabcstbbbcteathabcstbbbcsbtbb123sbtbb123'], ['89704756091729athis is abcst3019'], ['brbm'], ['t his is  '], ['897047560917293019baathis is abcstbb'], ['tetst123'], ['89704Thhis is a long string to hash to MD5560\\n\\t   917293019'], [' \\t \\n \\r \\x0c abcda12'], ['teathabcstbbbcteathabcstbbbcsbtbbthish is a123sbtbb123'], ['athiisathis iis abcstbbbcstbb'], ['tis is s'], ['this his ha test'], ['teathabcstbbbct1eathabcstbbbcsbtbb123sbtbb123'], ['atthi  \\t \\n \\r \\x0c cstbbbcstbb'], ['this is89704e56091Ze729301t his is  st9 a test'], ['abcda1'], ['5873hateathabcstbbbcteathabcstbbbcsbtbb123sbtbb123js8dklh'], ['5873ha  \\t \\n \\rjsjdkl\\rh'], ['  8970456091Ze7293019 \\t \\n \\r'], ['897047560917293089704756091729301919'], ['athiisathis is abcstibbbcstbb'], ['a'], ['\\n\\t\\t   '], ['\\n\\t5873hajsdklh   ab4'], ['this his ha itest'], ['5873ha  \\t \\nathis is  abcstbbt \\rjsdklh'], ['omykzjNQ'], ['thish  is a'], ['a89704560917293019bac'], ['ab12'], ['5873hateathabcstbbbcteathabcstbbbcsb \\t \\n \\rtbb123sbtbb123js8dklh'], ['a234'], ['897047560917293019baathis is abcstbtetst123b'], ['ab4  \\t \\n athiisathis is abcstibbbcstbb\\r \\x0c '], ['89704e1Ze7293019'], ['  \\t \\n \\r thish is aa\\x0c '], ['this sis ZZeea'], ['Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed et condimentum elit. Nunc tristique cosmopolis enim. Fusce malesuada, dolor at sollicitudin mattis, mauris enim molestie lorem, a luctus elit elit sed elit. Aliquam vitae nulla eu lorem convallis fermentum eget quis mauris. Ut fringilla tellus in tellus sodales, eget vestibulum diam dictum. Pellentesque gravida, dolor sit amet volutpat malesuada, odio ipsum aliquet turpis, nec viverra nisi dui quis mi.'], ['This input string was chosen to test long inputs that are non-trivial to hash. It contains multiple sentences and punctuation marks. Additionally, it has a mix of lower and uppercase letters.'], ['This input contains $special@ characters that are not typically found in regular sentences. This should test the function for a"}},"8ae783164e0a29214744407ecd9a40b9"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [['Hello world']]\n    results = ['3e25960a79dbc69b674cd4ec67a72c62']\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(string_to_md5)\n\n\n\nprint('___SENTINEL___')\n","30df1f4fbd6dacb8d5faaa0f8ef9ccb3"]
[{"$cut":{"chars":20053,"head":"import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-6\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-07, atol=atol)\n    else:\n        assert exact_match\n\n\ndef check(candidate):\n    inputs = [[2, 10], [10, 2], [132, 2], [17, 89], [6, 12], [13, 25], [50, 60], [100, 200], [201, 299], [5, 5], [11, 11], [10, 5], [5, 11], [50, 34], [5, 10], [201, 13], [34, 201], [12, 5], [34, 200], [201, 10], [299, 299], [200, 299], [25, 10], [201, 9], [11, 299], [12, 25], [5, 6], [13, 12], [14, 13], [200, 300], [60, 13], [50, 11], [13, 201], [14, 10], [5, 4], [5, 34], [201, 298], [200, 9], [300, 299], [199, 13], [200, 200], [298, 34], [13, 13], [34, 34], [14, 14], [13, 202], [6, 13], [12, 13], [34, 14], [300, 5], [301, 299], [201, 300], [14, 9], [299, 34], [301, 34], [300, 34], [302, 299], [4, 5], [300, 6], [25, 34], [298, 13], [199, 202], [199, 299], [11, 61], [9, 9], [201, 14], [199, 34], [9, 11], [5, 300], [11, 10], [10, 34], [100, 6], [13, 60], [12, 34], [202, 202], [14, 34], [298, 298], [50, 50], [6, 6], [201, 201], [61, 299], [61, 34], [200, 201], [10, 300], [301, 12], [62, 299], [100, 13], [297, 298], [6, 61], [200, 297], [298, 50], [302, 301], [199, 14], [12, 299], [6, 8], [198, 34], [201, 12], [202, 11], [201, 202], [12, 300], [7, 5], [300, 302], [8, 298], [8, 5], [100, 1000], [999, 1], [1, 100000], [10000, 1000], [1000, 10000], [56789, 123456], [987654321, 123456789], [101, 1001], [13, 17], [101, 110], [16, 13], [1000, 1000], [1001, 100000], [10000, 13], [56789, 56789], [56789, 56788], [2, 100000], [101, 101], [101, 123456789], [56788, 56789], [16, 16], [10000, 12], [17, 17], [1001, 1001], [2, 2], [100, 101], [10000, 10000], [56789, 1], [1, 1], [12, 100000], [10000, 10001], [987654321, 56789], [17, 2], [123456, 11], [12, 11], [16, 56787], [16, 1], [999, 2], [1001, 13], [56789, 10000], [987654321, 10001], [13, 11], [56789, 56790], [3, 100000], [13, 100], [1000, 56789], [102, 1001], [11, 10000], [56789, 123456789], [15, 110], [100000, 100000], [123456790, 123456789], [11, 100000], [14, 100], [11, 110], [10000, 14], [12, 1001], [3, 15], [56789, 9999], [987654321, 101], [16, 1001], [12, 12], [12, 1], [11, 123456], [16, 56790], [123456, 101], [999, 999], [14, 56790], [1001, 2], [56789, 1001], [101, 123456790], [15, 2], [1001, 1000], [10001, 3], [15, 56787], [100, 110], [56790, 100], [100000, 11], [2, 14], [110, 123456790], [101, 13], [2, 13], [56792, 100], [15, 16], [9999, 101], [999, 9999], [123456789, 123456789], [2, 1000], [999, 10000], [100, 56790], [56790, 56790], [1002, 100000], [10001, 10001], [12, 56790], [1, 56787], [56788, 56790], [3, 102], [987654322, 987654322], [14, 101], [56790, 1002], [998, 9999], [10001, 4], [123456788, 123456789], [100, 100], [56791, 56791], [56789, 101], [3, 3], [12, 123456790], [99, 99], [123457, 56789], [14, 16], [1, 10000], [11, 12], [2, 1], [12, 100], [100, 56787], [123457, 1001], [9999, 9999], [13, 56790], [56789, 102], [13, 3], [3, 99999], [1, 2], [12, 123456791], [12, 56787], [56788, 56788], [2, 123456789], [123456790, 998], [56787, 10000], [110, 110], [123456792, 123456791], [56792, 56791], [10000, 101], [123456, 1001], [10000, 11], [987654321, 3], [1000, 56792], [13, 14], [10, 11], [101, 100], [13, 16], [1000, 100000], [987654323, 123456789], [102, 13], [123457, 123457], [987654321, 99], [123458, 123457], [987654321, 100], [123456788, 123456788], [1002, 1002], [18, 18], [56787, 56787], [56788, 2], [123456789, 123456788], [99999, 99999], [13, 1000], [16, 15], [987654320, 123456791], [16, 999], [56789, 17], [10000, 15], [987654320, 56791], [102, 101], [123456789, 11], [999, 14], [56791, 110], [16, 101], [100001, 100001], [102, 100000], [987654323, 5678"}},"3767f708940a2079f32b24f1b17906cb"]
["import numpy as np\n\ndef is_floats(x) -> bool:\n    # check if it is float; List[float]; Tuple[float]\n    if isinstance(x, float):\n        return True\n    if isinstance(x, (list, tuple)):\n        return all(isinstance(i, float) for i in x)\n    if isinstance(x, np.ndarray):\n        return x.dtype == np.float64 or x.dtype == np.float32\n    return False\n\ndef assertion(out, exp, atol):\n    exact_match = out == exp\n\n    if atol == 0 and is_floats(exp):\n        atol = 1e-4\n    if not exact_match and atol != 0:\n        assert np.allclose(out, exp, rtol=1e-04, atol=atol)\n    else:\n        assert exact_match\n\ndef check(candidate):\n    inputs = [[2, 8], [8, 2], [10, 14]]\n    results = [[2, 4, 6, 8], [2, 4, 6, 8], []]\n    for i, (inp, exp) in enumerate(zip(inputs, results)):\n        assertion(candidate(*inp), exp, 0)\n\ncheck(generate_integers)\n\n\n\nprint('___SENTINEL___')\n","9a8da0dea14b64c370458ed8221afcd8"]