tinytest | featured package for unit testing | Unit Testing library
kandi X-RAY | tinytest Summary
kandi X-RAY | tinytest Summary
A lightweight, no-dependency, full-featured package for unit testing.
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QUESTION
Is there a pythonic way in the standard library for parsing raw binary files using for ... in ...
syntax (i.e., __iter__
/__next__
) that yields blocks that respect the buffersize
parameter, without having to subclass IOBase
or its child classes?
I'd like to open a raw file for parsing, making use of the for ... in ...
syntax, and I'd like that syntax to yield predictably shaped objects. This wasn't happening as expected for a problem I was working on, so I tried the following test (import numpy as np
required):
ANSWER
Answered 2020-Dec-02 at 22:05This behavior isn't unexpected, it is documented that all objects derived from IOBase
iterate over lines. The only thing that changes between binary vs text mode is how a line terminator is defined, it is always defined as b"\n"
in binary mode.
The docs:
IOBase (and its subclasses) supports the iterator protocol, meaning that an IOBase object can be iterated over yielding the lines in a stream. Lines are defined slightly differently depending on whether the stream is a binary stream (yielding bytes), or a text stream (yielding character strings). See
readline()
below.
The problem is that there used to historically be ambiguity between text and binary data in the type system, this was a major motivating factor of the Python 2 -> 3 transition breaking backwards-compatibility.
I think it would certainly be reasonable to have the iterator protocol respect the buffer size for file objects opened in binary mode in Python 3. Why it was decided to keep the old behavior is something I can only speculate about.
In any case, you should just define your own iterator, that is common in Python. Iterators are a basic building block, like built-in types.
You can actually use the 2-argument iter(callable, sentinel)
form to construct a super basic wrapper:
QUESTION
I tried to use the rocksdb inside R package. I used the following src/Makevars
:
ANSWER
Answered 2019-Sep-30 at 08:22Not a full answer but an observation (for now):
I tried to reproduce this in a docker container. The R package build failed, but also the plain build when using the same flags as used by R, but without parallel jobs and make
's debug output:
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