On Tue, Oct 19, 2021 at 8:54 PM Hongyi Zhao wrote:
> On Wed, Oct 20, 2021 at 8:29 AM Robert Kern wrote:
> >
> > On Tue, Oct 19, 2021 at 8:22 PM wrote:
> >>
> >> Do I have to use it this way?
> >
> >
> > Nothing is forcing you to, but everyone else will write it as
> `dtype=bool`, not `dtype=(bo
On Wed, Oct 20, 2021 at 8:29 AM Robert Kern wrote:
>
> On Tue, Oct 19, 2021 at 8:22 PM wrote:
>>
>> Do I have to use it this way?
>
>
> Nothing is forcing you to, but everyone else will write it as `dtype=bool`,
> not `dtype=(bool)`. `dtype=(bool)` is perfectly syntactically-valid Python.
> It'
On Tue, Oct 19, 2021 at 8:22 PM wrote:
> Do I have to use it this way?
>
Nothing is forcing you to, but everyone else will write it as `dtype=bool`,
not `dtype=(bool)`. `dtype=(bool)` is perfectly syntactically-valid Python.
It's just not idiomatic, so readers of your code will wonder why you wr
Do I have to use it this way?
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Hi all,
Our bi-weekly triage-focused NumPy development meeting is Wednesday,
October 20th at 16:30 UTC (9:30am Pacific Time).
Everyone is invited to join in and edit the work-in-progress meeting
topics and notes:
https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg
I encourage everyone to notify us of issues
On Tue, Oct 19, 2021 at 9:43 AM wrote:
>
> See the following testing in IPython shell:
>
> In [6]: import numpy as np
>
> In [7]: a = np.array([1], dtype=(bool))
>
> In [8]: b = np.array([1], dtype=bool)
>
> In [9]: a
> Out[9]: array([ True])
>
> In [10]: b
> Out[10]: array([ True])
>
> It seems t
On Tue, Oct 19, 2021 at 4:07 PM wrote:
> > You could use `dis.dis` to compare the two expressions and see that they
> compile to the same bytecode.
>
> Do you mean the following:
>
Indeed, that is exactly what I meant. You don't even need the numpy import
for that. Since `bool` and `(bool)` are
As he said: this is not the appropriate use for this mailing list.
On Tue, Oct 19, 2021, 10:05 AM wrote:
> > You could use `dis.dis` to compare the two expressions and see that they
> compile to the same bytecode.
>
> Do you mean the following:
>
> In [1]: import numpy as np
> In [2]: from dis i
> You could use `dis.dis` to compare the two expressions and see that they
> compile to the same bytecode.
Do you mean the following:
In [1]: import numpy as np
In [2]: from dis import dis
In [7]: dis('bool')
1 0 LOAD_NAME0 (bool)
2 RETURN_VALUE
In [8]:
(something) in python is only needed if you need to change the order of
precedence or if you need to split something across 2 or more lines.
Otherwise, it has no meaning and it is extraneous.
On Tue, Oct 19, 2021 at 9:42 AM wrote:
> See the following testing in IPython shell:
>
> In [6]: import
On Tue, Oct 19, 2021 at 3:42 PM wrote:
> See the following testing in IPython shell:
>
> In [6]: import numpy as np
>
> In [7]: a = np.array([1], dtype=(bool))
>
> In [8]: b = np.array([1], dtype=bool)
>
> In [9]: a
> Out[9]: array([ True])
>
> In [10]: b
> Out[10]: array([ True])
>
> It seems th
See the following testing in IPython shell:
In [6]: import numpy as np
In [7]: a = np.array([1], dtype=(bool))
In [8]: b = np.array([1], dtype=bool)
In [9]: a
Out[9]: array([ True])
In [10]: b
Out[10]: array([ True])
It seems that dtype=(bool) and dtype=bool are both correct usages. If so, wh
On Tue, Oct 19, 2021 at 7:26 AM wrote:
> I've written the following python code snippet in pycharm:
> ```python
> import numpy as np
> from numpy import pi, sin
>
> a = np.array([1], dtype=bool)
> if np.in|vert(a) == ~a:
> print('ok')
> ```
> When putting the point/cursor in the above code snippe
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