You can try using ctypes.uint_32 to bound the results for you:

>>> import ctypes
>>> print ctypes.c_uint32(399999 * 399999).value
1085410049

Alternatively you can use numpy's data types:

>>> import numpy as np
>>> a = np.uint32(399999)
>>> b = np.uint32(399999)
>>> a * b
__main__:1: RuntimeWarning: overflow encountered in uint_scalars
1085410049
Answer from Claudiu on Stack Overflow
Top answer
1 of 3
29

You can try using ctypes.uint_32 to bound the results for you:

>>> import ctypes
>>> print ctypes.c_uint32(399999 * 399999).value
1085410049

Alternatively you can use numpy's data types:

>>> import numpy as np
>>> a = np.uint32(399999)
>>> b = np.uint32(399999)
>>> a * b
__main__:1: RuntimeWarning: overflow encountered in uint_scalars
1085410049
2 of 3
3

Here's an interesting solution, though it only works under Python 2:

class U32:
    """Emulates 32-bit unsigned int known from C programming language."""

    def __init__(self, num=0, base=None):
        """Creates the U32 object.

        Args:
            num: the integer/string to use as the initial state
            base: the base of the integer use if the num given was a string
        """
        if base is None:
            self.int_ = int(num) % 2**32
        else:
            self.int_ = int(num, base) % 2**32

    def __coerce__(self, ignored):
        return None

    def __str__(self):
        return "<U32 instance at 0x%x, int=%d>" % (id(self), self.int_)

    def __getattr__(self, attribute_name):
        print("getattr called, attribute_name=%s" % attribute_name)
        # you might want to take a look here:
        # https://stackoverflow.com/q/19611001/1091116
        r = getattr(self.int_, attribute_name)
        if callable(r):  # return a wrapper if integer's function was requested
            def f(*args, **kwargs):
                if args and isinstance(args[0], U32):
                    args = (args[0].int_, ) + args[1:]
                ret = r(*args, **kwargs)
                if ret is NotImplemented:
                    return ret
                if attribute_name in ['__str__', '__repr__', '__index__']:
                    return ret
                ret %= 2**32
                return U32(ret)
            return f
        return r

print(U32(4) / 2)
print(4 / U32(2))
print(U32(4) / U32(2))

For Python 3 compatibility, have a look here.

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Python Data Science Handbook
jakevdp.github.io › PythonDataScienceHandbook › 02.01-understanding-data-types.html
Understanding Data Types in Python | Python Data Science Handbook
The standard Python implementation is written in C. This means that every Python object is simply a cleverly-disguised C structure, which contains not only its value, but other information as well. For example, when we define an integer in Python, such as x = 10000, x is not just a "raw" integer.
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Converting hex to uint32
Without any example data or code the only thing I can say is use the struct module. More on reddit.com
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July 17, 2024
Fixed width integer types (e.g. uint32) in Python - Stack Overflow
Certain mathematical operations, especially on data read from hardware drivers, can depend on fixed width of the data type. Example: bitwise shift. What is the Pythonic way of creating integer vari... More on stackoverflow.com
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Newest 'uint32' Questions - Stack Overflow
Stack Overflow | The World’s Largest Online Community for Developers More on stackoverflow.com
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python - How to convert signed 32-bit int to unsigned 32-bit int? - Stack Overflow
import ctypes def int32_to_uint32(i): return ctypes.c_uint32(i).value ... Sign up to request clarification or add additional context in comments. ... That returns a Python integer type, though, which probably isn't a meaningful result in this context, as it isn't actually a uint32 anymore. More on stackoverflow.com
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ProgramCreek
programcreek.com › python › example › 10004 › numpy.uint32
Python Examples of numpy.uint32
def test_basic(self): ba = [1, 2, 10, 11, 6, 5, 4] ba2 = [[1, 2, 3, 4], [5, 6, 7, 9], [10, 3, 4, 5]] for ctype in [np.int16, np.uint16, np.int32, np.uint32, np.float32, np.float64, np.complex64, np.complex128]: a = np.array(ba, ctype) a2 = np.array(ba2, ctype) if ctype in ['1', 'b']: assert_raises(ArithmeticError, np.cumprod, a) assert_raises(ArithmeticError, np.cumprod, a2, 1) assert_raises(ArithmeticError, np.cumprod, a) else: assert_array_equal(np.cumprod(a, axis=-1), np.array([1, 2, 20, 220, 1320, 6600, 26400], ctype)) assert_array_equal(np.cumprod(a2, axis=0), np.array([[1, 2, 3, 4], [5, 12, 21, 36], [50, 36, 84, 180]], ctype)) assert_array_equal(np.cumprod(a2, axis=-1), np.array([[1, 2, 6, 24], [5, 30, 210, 1890], [10, 30, 120, 600]], ctype))
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Blue Marble Geo
bluemarblegeo.com › knowledgebase › global-mapper-python › sampleCode › DemoInts.html
Global Mapper Ints: *_t32, uint32, and others — Global Mapper Python Documentation
Uint32 is the most common, but you may also see sint32, uint8, or similarly named types as parameters for Global Mapper functions. As these have also been translated from C++ classes into Python ints, any integer will be valid for the parameter, but the name of the type indicates the range of numbers that will work correctly for the function.
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KooR.fr
koor.fr › Python › API › scientist › numpy › uint32 › Index.wp
KooR.fr - classe uint32 - module numpy - Description de quelques librairies Python
Liste des modules Python · bool broadcast busdaycalendar bytes_ character clongdouble complex128 complex64 complexfloating datetime64 dtype errstate finfo flatiter flexible float16 float32 float64 floating generic iinfo inexact int16 int32 int64 int8 intc integer longdouble matrix memmap ndarray ndenumerate ndindex nditer number object_ poly1d recarray record signedinteger str_ timedelta64 ufunc uint16 uint32 uint64 uint8 uintc unsignedinteger vectorize void ·
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Top answer
1 of 2
4

For interfacing with hardware we normally use the struct standard library - specifically struct.pack and struct.unpack not only are fixed widths handled but also endianess issues. See the python 2 or python 3 library manuals.

Once you have retrieved your data from your hardware and unpacked it if you are going to be performing any heavy duty mathematics on it you would usually assign it to numpy data types which will:

  1. Provide just about any operation that you could need,
  2. Behave as expected for the data type
  3. If you have lots of data stored in arrays or matrices provide vector methods for handling the data quickly & simply.
import numpy as np
x = np.uint32(42)
print(x << 20)  # 44040192
print(x << 32)  # 180388626432 - Looks like it has been promoted
print(type(x << 32)) # numpy.int64 - it has

So if you are doing something such as reading a set of A-D readings from registers and then performing a lot of maths on them so as to produce a graph, etc. then this is fine but if you are reading a value from one register, doing some math, then writing the results back to a register you need to take care using anything like numpy.

Note that there is also the ctypes library available for interfacing with hardware and DLLs but it will always expect the values to be in "native" format - so, for example, if you are reading a 16 bit number from big endian hardware on a little endian machine then you will get problems.

2 of 2
3

I would suggest the fixedint library. The classes in that library are named in the following convention:

[Mutable][U]Int<N>

So for your two examples, the classes would be

#    C++                 Python fixedint
 std::uint32                 UInt32
 std::uint16                 UInt16

This supports things like bit-shifting, etc

>>> a = fixedint.UInt32(14)
>>> a
UInt32(14)
>>> a << 2
UInt32(56)
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utcc.utoronto.ca › ~cks › space › blog › python › Unsigned32BitMath
Chris's Wiki :: blog/python/Unsigned32BitMath
August 5, 2010 - from numpy import uint32 from numpy import int32 · NumPy also provides signed and unsigned 8 bit, 16 bit, and 64 bit integers under the obvious names. Note that you don't want to mix these types with regular Python integers if you want things to come out just right; you need to make sure that all numbers involved in your code are turned into the appropriate NumPy type.
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Stack Overflow
stackoverflow.com › questions › tagged › uint32
Newest 'uint32' Questions - Stack Overflow
uint32 · Sunil B · 2,146 asked Aug 1, 2024 at 15:20 · 0 votes · 1 answer · 162 views · I would like to reproduce C behavior in Python, presumably using numpy, but I'm running into this issue : >>> import numpy >>> a = numpy.uint32(4294967295) >>> type(a) <... python ·
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Runebook.dev
runebook.dev › en › docs › python › library › ctypes › ctypes.c_uint32
Mastering ctypes.c_uint32: Common Gotchas and Modern Python Alternatives
When a C function returns a value greater than 231−1, and you incorrectly use a signed type like c_int32 to retrieve it, Python will display a negative number. The Fix/Troubleshooting Always confirm the exact data type (signed or unsigned) used in the C header file. If it says unsigned long or uint32_t, use c_uint32.
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GitHub
github.com › numpy › numpy › issues › 16073
Inconsistent behavior in casting from float64 to uint32 depending on processors · Issue #16073 · numpy/numpy
April 25, 2020 - Casting from float64 to uint32 behaves inconsistently depending on processors and bit sizes. The code I executed is: import numpy as np print([np.float64(_).astype(np.uint32) for _ in [1, 2, 3, 4, -1, -2, -3, -4]]) print(np.array([1, 2, ...
Author   Terminus-IMRC
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Sling Academy
slingacademy.com › article › exploring-numpy-int32-and-numpy-uint32-types-4-examples
Exploring numpy.int32 and numpy.uint32 types (4 examples) - Sling Academy
This binary representation difference directly influences the range of values these data types can hold: numpy.int32 can hold numbers from -2,147,483,648 to 2,147,483,647, and numpy.uint32 from 0 to 4,294,967,295.
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Data-apis
data-apis.org › array-api › latest › API_specification › data_types.html
Data Types — Python array API standard 2025.12 documentation
The default integer data type should be the same across platforms, but the default may vary depending on whether Python is 32-bit or 64-bit.
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GitHub
github.com › acg › python-cdb › blob › master › src › uint32.h
python-cdb/src/uint32.h at master · acg/python-cdb
#ifndef UINT32_H · #define UINT32_H · · /* adopted from libowfat 0.9 (GPL) */ · typedef unsigned int uint32; · extern void uint32_pack(char *out,uint32 in); extern void uint32_unpack(const char *in,uint32 *out); ·
Author   acg