On Mon, Oct 4, 2021 at 11:54 PM Stephen Waterbury
wrote:
>
> On 10/4/21 10:07 AM, Hongyi Zhao wrote:
>
> On Mon, Oct 4, 2021 at 9:33 PM Robert Kern wrote:
>
> On Mon, Oct 4, 2021 at 5:17 AM Hongyi Zhao wrote:
>
> That’s just the way Python’s syntax works. Operators are not names that can
> be r
On 10/4/21 10:07 AM, Hongyi Zhao wrote:
On Mon, Oct 4, 2021 at 9:33 PM Robert Kern wrote:
On Mon, Oct 4, 2021 at 5:17 AM Hongyi Zhao wrote:
That’s just the way Python’s syntax works. Operators are not names that can be
resolved to objects that can be compared with the `is` operator. Inste
On Mon, Oct 4, 2021 at 9:33 PM Robert Kern wrote:
>
> On Mon, Oct 4, 2021 at 5:17 AM Hongyi Zhao wrote:
>>
>>
>> > That’s just the way Python’s syntax works. Operators are not names that
>> > can be resolved to objects that can be compared with the `is` operator.
>> > Instead, when that operato
On Mon, Oct 4, 2021 at 5:17 AM Hongyi Zhao wrote:
>
> > That’s just the way Python’s syntax works. Operators are not names that
> can be resolved to objects that can be compared with the `is` operator.
> Instead, when that operator is evaluated in an expression, the Python
> interpreter will look
Hi,
Dropping 32-bit wheels seems very reasonable at this stage, as long as
we keep testing on 32-bit, for the Raspberry Pi folks,
Cheers,
Matthew
On Sun, Oct 3, 2021 at 6:27 PM Charles R Harris
wrote:
>
> Hi All,
>
> Dropping 32 manylinux wheels was discussed in a triage meeting some time ago
On Mon, Oct 4, 2021 at 4:41 PM Robert Kern wrote:
>
> On Mon, Oct 4, 2021 at 1:09 AM wrote:
>>
>> Thank you for pointing this out. This is the code block which includes the
>> first appearance of the keyword `logical_not`.
>>
>> BTW, why can't the ~ operator be tested equal to 'np.invert', as sh
On Mon, Oct 4, 2021 at 1:09 AM wrote:
> Thank you for pointing this out. This is the code block which includes the
> first appearance of the keyword `logical_not`.
>
> BTW, why can't the ~ operator be tested equal to 'np.invert', as shown
> below:
>
> ```
> In [1]: import numpy as np
> In [3]: np