Installation of the mmh3 library for python and its use.

mmh3 installation method

The main hash methods are MD, SHA, Murmur, CityHash, MAC and several others.

mmh3 throughout murmurhash3, is a non-cryptographic hash algorithm, commonly used in hadoop and other distributed storage contexts, in anaconda to install and use the command

pip install mmh3

Question 1

The error is as follows.

Microsoft Visual C++ 14.0 is required

Showing missing library files for C++ 14, select login site/downloads/ Download Visual Studio 2015, install it automatically and run it.

pip install mmh3

Question 2

The error is as follows.

error: command '' failed: No such file or directory

In the Visual Studio Installer (Toolbar - Get Tools & Features), select the Add Red Box annotation feature

Other notes

It is recommended to install the version of Visual Studio 2015, because 2015 corresponds to the version of C++ 14, if it is python2 mmh3 need to correspond to the version of C++ 9, this is mainly because python2 is based on the compilation of C++ 9

python3 is compiled based on C++ 14, and pro-testing installing VS2019 didn't solve the problem of missing C++ 14.

mmh3 use

Sample:

>>> import mmh3
>>> ('foo') 
# 32 bit signed int
-156908512
>>> ('foo', 42) 
# uses 42 for its seed
-1322301282
>>> ('foo', signed=False) 
# 32 bit unsigned int (since Version 2.5)
4138058784
>>> mmh3.hash64('foo') 
# two 64 bit signed ints (by using the 128-bit algorithm as its backend)
(-2129773440516405919, 9128664383759220103)
>>> mmh3.hash64('foo',signed =False)                    
 #  two 64 bit unsigned ints
(16316970633193145697, 9128664383759220103)
>>> mmh3.hash128('foo', 42)                                    
# 128 bit unsigned int
215966891540331383248189432718888555506
>>> mmh3.hash128('foo', 42, signed = True)            
# 128 bit signed int
-124315475380607080215185174712879655950
>>> mmh3.hash_bytes('foo')                                     
# 128 bit value as bytes
'aE\xf5\x01W\x86q\xe2\x87}\xba+\xe4\x87\xaf~'

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