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label-studio
omishali
omishali commented Jan 3, 2022

Describe the bug
I am trying to label Hebrew text (RTL language). When labels are attached to the text, the words of the text are mixed and not shown in their original order.

To Reproduce
Steps to reproduce the behavior:

  1. Create a project with attached dataset.json dataset.txt
  2. Choose NER template
  3. Start
bug good first issue text editor
kedro
Aylr
Aylr commented Dec 28, 2020

Describe the bug
data docs columns shrink to 1 character width with long query

To Reproduce
Steps to reproduce the behavior:

  1. make a batch from a long query string
  2. run validation
  3. render result to data docs
  4. See screenshot
    <img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4
enhancement help wanted good first issue core-team
metaflow
romain-intel
romain-intel commented Feb 13, 2022

Currently, you can do something like this: Task(Flow/RunID/StepName) and this will not result in an error but then the resulting Task object behaves in a bizarre manner where things like t.data will work but t.data.my_artifact will not for example.

We should validate the format of the pathspec passed in to each object and verify that the following are the only possible cases:

  • Metaflo
bug good first issue upforgrabs
AbhinavTuli
AbhinavTuli commented Mar 22, 2022

🚨🚨 Feature Request

  • A new implementation (Improvement, Extension)

Is your feature request related to a problem?

Currently, if a user tries to access an index that is larger than the dataset length or tensor length, an internal error is thrown which is not easy to understand.

Description of the possible solution

We can catch the error and throw a more descriptive e

enhancement good first issue
felixwang9817
felixwang9817 commented Apr 6, 2022

Expected Behavior

The __hash__ methods should not be implemented like this:

def __hash__(self) -> int:
    return hash((id(self), self.name))

Objects with the __hash__ method implemented in such a way are not being deduplicated correctly in e.g. sets and dicts.

Current Behavior

Steps to reproduce

Specifications

  • Version:
  • Platform:
  • Subsystem:
mwm5945
mwm5945 commented Jun 25, 2020

The documentation for creating complex inference graphs should include what components can be connected to what, and how the overall graph should behave.

For example, all inference graphs need to end with a single node, whether its a combiner combining multiple inputs, or a transformer, or a model--the graph can't split and then never rejoin, etc.

replon
replon commented Mar 25, 2022

https://github.com/pytorch/serve/blob/6a191f822f2e759c2aad07b8f9eacbedcb039827/model-archiver/model_archiver/model_packaging_utils.py#L137

In a multi-user system, this line can raise Permission Error because of the same file name in the shared /tmp/ directory which maybe created by another user. Maybe we can give more unique name when we store it using timestamp or something.

good first issue
haritsahm
haritsahm commented Apr 3, 2022

🐛 Bug

Removed _convert_params function in new pytorch-lightning release (1.6.0).

To reproduce

from aim.pytorch_lightning import AimLogger

trainer = pl.Trainer(logger=AimLogger(experiment='experiment_name'))
trainer.logger.log_hyperparams(hparams)

Expected behavior

  • Successfully log the hyperparameters with no errors

Environment

  • Aim Version (3.8
type / bug help wanted good first issue phase / review-needed
flyte
kumare3
kumare3 commented Nov 30, 2021

Describe the issue

Currently we run the Linter CI for golang repos using the golang-ci-linter binary. But according to the documentation it is faster and better to use the github action.
https://golangci-lint.run/usage/install/

The UX of all the error highlighting is also better.

What if we do not do this?

Finding linter errors is troublesome as users have to parse through the cons

good first issue housekeeping
zenml
AlexejPenner
AlexejPenner commented Dec 28, 2021

Contact Details [Optional]

support@zenml.io

Describe the feature you'd like

Currently our CLI offers a way to install the python packages that are required for a given integration. However, some of our integrations also have system requirements that are necessary to make them work (graphviz, kubectl, etc. ).
All system requirements should be listed on an integration level, just

good first issue help wanted internal
ItayGabbay
ItayGabbay commented Feb 27, 2022

Is your feature request related to a problem? Please describe.
Currently, when building the docs using the make docs command, many errors and warnings are being raised. This makes the deployment really difficult because we can't know for sure that the docs are not broken.

Describe the solution you'd like
The required solution would be that the build process of the docs will contain

good first issue help wanted suggestion

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