On 20/11/17 15:48, Jason wrote:
> a pipeline can be described as a sequence of functions that are applied to an
> input with each subsequent function getting the output of the preceding
> function:
>
> out = f6(f5(f4(f3(f2(f1(in))
>
> However this isn't very readable and does not support co
On 20Nov2017 10:49, Greg Ewing wrote:
Cameron Simpson wrote:
Unless one had a misfortune and wanted another docstring.
Good point. I guess having differing docstrings should make
otherwise equal objects ineligible for merging.
[...example...]
I think setting the docstring of an existing i
r...@zedat.fu-berlin.de (Stefan Ram):
> Jason writes:
>>I feel like I'm reinventing a wheel here. I was wondering if
>>there's already something that exists?
>
> Why do you want this?
Some time back Stephen D'Aprano demonstrated how the | operator can be
defined to create pipelines in Python.
On Tue, Nov 21, 2017 at 6:50 AM, Josh B. wrote:
> On Monday, November 20, 2017 at 1:55:26 PM UTC-5, Chris Angelico wrote:
>> But what you have is the strangeness of non-transitive equality, which
>> is likely to cause problems.
>
> But this is exactly how Python's built-in dict and OrderedDict beh
On Tue, Nov 21, 2017 at 5:47 AM, Michael Torrie wrote:
> You also have this header set:
>> X-Copyright: (C) Copyright 2017 Stefan Ram. All rights reserved.
>> Distribution through any means other than regular usenet
>> channels is forbidden. It is forbidden to publish this
>> article in the world
On Monday, November 20, 2017 at 2:31:40 PM UTC-5, MRAB wrote:
> What if there are duplicate elements?
>
> Should that be MyColl(some_elements) == MyOrderedColl(other_elements)
> iff len(some_elements) == len(other_elements) and set(some_elements) ==
> set(other_elements)?
Yes, that's what I mea
On Monday, November 20, 2017 at 1:55:26 PM UTC-5, Chris Angelico wrote:
> But what you have is the strangeness of non-transitive equality, which
> is likely to cause problems.
But this is exactly how Python's built-in dict and OrderedDict behave:
>>> od = OrderedDict([(1, 0), (2, 0), (3, 0)])
>>>
On 2017-11-20 17:47, Josh B. wrote:
Suppose we're implementing an immutable collection type that comes in unordered
and ordered flavors. Let's call them MyColl and MyOrderedColl.
We implement __eq__ such that MyColl(some_elements) ==
MyOrderedColl(other_elements) iff set(some_elements) == set(
On Tue, Nov 21, 2017 at 4:47 AM, Josh B. wrote:
> Now for the question: Is this useful? I ask because this leads to the
> following behavior:
>
unordered = MyColl([1, 2, 3])
ordered = MyOrderedColl([3, 2, 1])
s = {ordered, unordered}
len(s)
> 1
s = {ordered}
unordere
Your thoughts on scope are interesting, if unorthodox. There is a
problem with your deleting names after use, which is why we rarely
delete names. The problem is that deleting a name does not not
necessarily or immediately destroy an object. This can lead to great
confusion for programmers comin
On Sunday, November 19, 2017 at 2:05:12 PM UTC-5, Peng Yu wrote:
> Hi, R has the functions head() and str() to show the brief content of
> an object. Is there something similar in python for this purpose?
>
> For example, I want to inspect the content of the variable "train".
> What is the best wa
Suppose we're implementing an immutable collection type that comes in unordered
and ordered flavors. Let's call them MyColl and MyOrderedColl.
We implement __eq__ such that MyColl(some_elements) ==
MyOrderedColl(other_elements) iff set(some_elements) == set(other_elements).
But MyOrderedColl(so
On Nov 20, 2017 10:50 AM, "Jason" wrote:
>
> a pipeline can be described as a sequence of functions that are applied
to an input with each subsequent function getting the output of the
preceding function:
>
> out = f6(f5(f4(f3(f2(f1(in))
>
> However this isn't very readable and does not suppor
> I feel like I'm reinventing a wheel here. I was wondering if there's already
> something that exists?
I've wondered from time-to-time about using shell pipeline notation
within Python. Maybe the grapevine package could be a starting point?
I realize that's probably not precisely what you're lo
a pipeline can be described as a sequence of functions that are applied to an
input with each subsequent function getting the output of the preceding
function:
out = f6(f5(f4(f3(f2(f1(in))
However this isn't very readable and does not support conditionals.
Tensorflow has tensor-focused pip
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