Summary

As a consequence of one of my PRs, a bug was introduced into the master branch of the Argo Workflows codebase. This had instant repercussions (see Github Issue here) for new users that were consuming the tool. Whenever the docs provide a link to manifests, they point to the master branch (see [here](https://github.com/argoproj/ar

ReloadableInferEngine::proc_initialize中使用TaskExecutor的是个单例，那么多个模型会一次去设置、启动同一个TaskExecutor；
在调用schedule()之后，TaskExecutor如何确定去调用哪个模型呢？

Description

we validate every syntactically correct PoET proof regardless whether it's already present locally.

from Noam:

Validating a PoET proof is definitely more expensive than calculating a Sha256 sum of the proof.
It involves calculating many smaller Sha256 sums (I think the lower bound for the number of
has

There are plenty of if not something then panic code, refactor them with general functions, but try to avoid reflect.

Is your feature request related to a problem? Please describe.

We should implement useful implementations of:

class ResultMixin(object):
    """Base class housing the static function.

    Why a static function? That's because certain frameworks can only pickle a static function, not an entire
    object.
    """
    @staticmethod
    @abc.abstractmethod
    def build_

This project should contain a Dockerfile that can be run by anyone who's not keen running it natively. Since it's a TUI, it should be possible to run it attached.

Running it in a container also has the benefit that it allows people to restrict IPFS' resource use even further and more strict.

What is the expected enhancement?

There are several places in the documentation where we manually are calling pydot with graph.to_dot()'s output to generate visualizations (mainly in the generators modules. For exa

Reference the Meta Static Analysis example to create a new operations in dffml/operation/datetime.py . Add the file and make two operations, one which returns datatime.datetime.now() and another which takes the output of the first operation and formats the date in the same format as https://intel.github.io/dffml/master/examples/integration.html#training-our-model