aremily commented on issue #92: OpenSSL 1.1.0 updates with backward
compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#issuecomment-463455606
Please review this latest commit for incorporation into the master branch.
Thanks.
--
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r25254
##
File path:
src/main/native/org/apache/commons/crypto/random/OpenSslCryptoR
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r25232
##
File path: src/main/native/org/apache/commons/crypto/cipher/OpenSslNative.c
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r25213
##
File path: src/main/native/org/apache/commons/crypto/cipher/OpenSslNative.c
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r25064
##
File path: src/main/native/org/apache/commons/crypto/OpenSslInfoNative.c
#
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r256665925
##
File path:
src/main/java/org/apache/commons/crypto/jna/OpenSslJnaCryptoRan
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r256665872
##
File path: Makefile
##
@@ -18,7 +18,7 @@
include Makefile.common
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r256665667
##
File path: .travis.yml
##
@@ -24,7 +24,6 @@ matrix:
- "c
aremily commented on a change in pull request #92: OpenSSL 1.1.0 updates with
backward compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#discussion_r256665626
##
File path: .gitignore
##
@@ -1,37 +0,0 @@
-*~
Review comment:
coveralls edited a comment on issue #92: OpenSSL 1.1.0 updates with backward
compatibility for OpenSSL 1.0.2 and 1.0.1
URL: https://github.com/apache/commons-crypto/pull/92#issuecomment-449676652
[](https://coveralls.io/buil
Hi.
Le mer. 13 févr. 2019 à 21:21, Alex Herbert a écrit :
>
>
>
> > On 13 Feb 2019, at 17:52, Gilles Sadowski wrote:
> >
> >> Le mer. 13 févr. 2019 à 18:47, Alex Herbert a
> >> écrit :
> >>
> >>> On 13/02/2019 17:35, Gilles Sadowski wrote:
> >>> Hello.
> >>>
> Le mer. 13 févr. 2019 à 17:2
> On 13 Feb 2019, at 17:52, Gilles Sadowski wrote:
>
>> Le mer. 13 févr. 2019 à 18:47, Alex Herbert a
>> écrit :
>>
>>> On 13/02/2019 17:35, Gilles Sadowski wrote:
>>> Hello.
>>>
Le mer. 13 févr. 2019 à 17:20, a écrit :
This is an automated email from the ASF dual-hosted git repo
I have read the Stack Overflow thread and will give a look at you rminimal
working example.
On Wed, Feb 13, 2019 at 10:45 AM Gilles Sadowski
wrote:
> Hi.
>
> Le mer. 13 févr. 2019 à 13:12, Roman Leventov a
> écrit :
> >
> > I try to approximate inverse CDF of BinomialDistribution with inverse C
On Mon, Feb 11, 2019 at 3:17 AM Christofer Dutz
wrote:
>
> Hi all,
>
> my PLC4X driver using a combination of Apache Commons SCXML (2.0) and Apache
> Daffodil is doing even better than I imagined, when starting the whole thing.
>
> Right now I’m improving the thing to be more on-par with the exis
Hi.
Le mer. 13 févr. 2019 à 13:12, Roman Leventov a écrit :
>
> I try to approximate inverse CDF of BinomialDistribution with inverse CDF
> of NormalDistribution. Works pretty well, but there is a noticeable bias,
> that may be a sign of some imprecision or bias in either
> BinomialDistribution.i
Hello.
Le mer. 13 févr. 2019 à 15:23, Alex Herbert a écrit :
>
> I am adding a new family of random generators in commons-rng. The
> algorithms do not work when the seed state is all zeros [1]. What would
> be best solution for an API. Here are some options:
>
> 1. Throw an exception.
-1
The cor
Le mer. 13 févr. 2019 à 18:47, Alex Herbert a écrit :
>
> On 13/02/2019 17:35, Gilles Sadowski wrote:
> > Hello.
> >
> > Le mer. 13 févr. 2019 à 17:20, a écrit :
> >> This is an automated email from the ASF dual-hosted git repository.
> >>
> >> aherbert pushed a commit to branch master
> >> in re
On 13/02/2019 17:35, Gilles Sadowski wrote:
Hello.
Le mer. 13 févr. 2019 à 17:20, a écrit :
This is an automated email from the ASF dual-hosted git repository.
aherbert pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/commons-rng.git
commit 367f022a88dedf2b7
Hello.
Le mer. 13 févr. 2019 à 17:20, a écrit :
>
> This is an automated email from the ASF dual-hosted git repository.
>
> aherbert pushed a commit to branch master
> in repository https://gitbox.apache.org/repos/asf/commons-rng.git
>
> commit 367f022a88dedf2b79778f18ad1ed3ec655fffe8
> Author: a
britter opened a new pull request #73: Fix broken test
URL: https://github.com/apache/commons-io/pull/73
The test started to fail after the changes made in b5990be. This is
because after changing the type of writer from Appendable to NullWriter
the wrong overload of copy would be used:
I am adding a new family of random generators in commons-rng. The
algorithms do not work when the seed state is all zeros [1]. What would
be best solution for an API. Here are some options:
1. Throw an exception.
2. Fall-back to a known default seed that works.
3. Allow it and users beware (t
This vote passes. Many thanks to all those who voted, namely:
Alex Herbert: +1 (non-binding)
Bruno Kinoshita: +1
Gary Gregory: +1
Eitan Adler: +1 (non-binding)
Rob Tompkins: +1
I will work on performing the release process. I’m going to request a little
more time than one would expect here as I
This VOTE passes with 3 +1 binding votes from:
- Bruno P. Kinoshita
- Gary Gregory
- Rob Tompkins
Gary
On Tue, Feb 12, 2019 at 10:26 PM Rob Tompkins wrote:
> +1
>
> > On Feb 12, 2019, at 9:03 AM, Gary Gregory
> wrote:
> >
> > My +1
> >
> > Gary
> >
> >> On Sat, Feb 9, 2019 at 2:10 PM Gary
I try to approximate inverse CDF of BinomialDistribution with inverse CDF
of NormalDistribution. Works pretty well, but there is a noticeable bias,
that may be a sign of some imprecision or bias in either
BinomialDistribution.inverseCumulativeProbability(), or
NormalDistribution.inverseCumulativePr
24 matches
Mail list logo