Iris Error Code 1608

[Dimple Belousson]

5Now go back in and enter in the UTR again manually. Save and close then you must regenerate the return and then submit. (DO NOT go straight to the transmit screen and try to resubmit).

6. If the UTR is correct and you still get the same error, then you have to contact HMRC support, ask to speak to a senior and state you are getting a 3001 1608 error message for this client and they should rectify the issue.

Here is a minimal working example of what I can do when I define the style of the iris dataset to 'species' and get a nice pairplot with different marker styles. When I comment out the working line of code with my new line of code to change the style of marker to the one I created it gives an error.

Hello,

A script that worked well is now sending me error messages when using the filter function (dplyr package).

Has anyone encountered this type of message before?

I updated packages and R version but it did not fix the problem.

Thank you

I find that sometimes dplyr's function get confused with the base function they are masking, particularly select and dplyr. I now always write dplyr::select and dplyr::filter. summarise might be another one. Does this help?

Thank you very much for your answer.

Unfortunately it doesn't work, very strange because the same simple code with "filter" runs with no problem higher in the script...

But I also noticed the same kind of problem with "select" !

If another idea comes up, don't hesitate to share

Did you load other packages anywhere in between?

I had a similar issue as some point loading plyr after loading dplyr (or tidyverse in general) and there was obviously a conflict returning errors.

Loading tidyverse after the other packages solved the issue. Maybe worth checking.

Maybe the problem is not with your code but with the specific data being used, to help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

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1. 3001 - The submission of this document has failed due to departmental specific business logic in the Body tag.

Resolution: This error will automatically be suppressed when you resolve other specific error(s).

2. 3304 - Original return already received for this period.

Resolution: This error is getting generated from HMRC end saying that original return has already been submitted. We recommend you to please contact HMRC for further information.

3. 1608 - Unfortunately it could not be accepted as it failed HM Revenue and Customs (HMRC) online data checks.

Resolution: This error is generated from HMRC end when an invalid UTR is used which does not exist on HMRC systems and we recommend you contact HMRC for further clarification.

4. 3312 - Resolution: This error will come up when there is no iXBRL account is attached and the same has not been intimated in the CT600 "Computations and Attachments Included". In case, if you have attached the accounts report in pdf form, you need to intimate the same under "Computations and Attachments Included".

5. 1606 -Resolution: This error will come up when the Company Registration number provided in the attached Accounts is not matching exactly or there is missing of any digit. We recommend you to please check it thoroughly.

6. 3315 - Error Generic dimension member (bus: OrdinaryShareClass1) has no associated name or description item

Resolution: This error will come up when the class of share capital note was left blank. You may please update the class of share capital under Share Capital note.

7. 1611 - Resolution: This error is showing as you have not submitted the original return to HMRC. The return which you are trying to submit is an 'Amended' one hence you need to create a 'New' return and submit to HMRC.

8. 1046 - Authentication Failure. The supplied user credentials failed validation for the requested service.

Resolution: This error is generated from HMRC's end and we can only help you with possible reasons for the same. Please check the HMRC Credentials and UTR Number.

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This release introduces a number of major new features and enhancements, including the ability to add popups to your Bokeh figures, which allows you to drill down into subsets of your data easily.Additionally, this release retains and uses pandas (multi-)indexes without unnecessary copies, providing significant benefits for working with wide data.A major focus of this release has also been to improve the time it takes to plot large datasets, both by updating the data pipeline and reducing the amount of data send to the browser.Furthermore, we have improved the developer experience, making it easier to contribute to HoloViews, see the developer guide.Lastly bugs have been squashed and enhancements made to the existing features.

This release includes new features, improvements, and bug fixes. Among these are the new elements. First is the ImageStack element allows you to easily visualize a 3D array, while the VLines, HLines, VSpans, and HSpans elements allow you to visualize vertical and horizontal lines and spans easily. In addition, this release includes support for subcoordinate systems in the y-axis and various other enhancements and bug fixes. This release adds support for the newest Python 3.12 and Bokeh 3.3 and drops support for Python 3.8 and Bokeh 2.

This release brings one of the most requested features - interactive twin-axis support! Another feature added in this release is the ability to easily set custom options on plot components with backend_opts, making it much easier to customize your plots. Datashaders where and summary aggregators are now supported, and rasterize now has a selector option, making it easy to get extra information about your rasterized data. Lastly, Bokeh figures with the same labels will synchronize muteness or visibility across different figures.

This release includes a breaking change as notebooks will no longer be inlining as default. This change will reduce the size of the notebook files and, more importantly, address an upstream issue in Jupyter where running hv.extension would give an error when used in a notebook.

This release includes many new features, improvements, and bug fixes. Among the highlights are support for Bokeh 3.1 and Panel 1.0, both of which come with a wide range of new features and enhancements. Time series support has also been improved, with auto-ranging along one axis, a new downsample algorithm, and having WebGL enabled by default. In addition, the release includes various other enhancements and bug fixes.

This minor version will be the last to support Python 3.7. The next minor version will require Python 3.8 or higher.In the next release, holoviews.annotate will start giving a deprecation warning about its future move to the new package HoloNote.

Promoted DeprecationWarning to FutureWarning when using pandasDataFrames with non-string column names. This will not change anyfunctionality but will start warning users about functionality that willbe deprecated in future.

Colormaps for the output of the datashade operation have changed toaddressholoviz/datashader#357;see rescale_discrete_levels below. To revert to the old colorbarbehavior, set ColorbarPlot.rescale_discrete_levels = False in thebokeh or mpl plotting modules as appropriate.

After a long period of hotfix releases for the 1.14.9 series, many newfeatures on the main branch have been released. Features relating todatashader support, linked selection and improvements to the Bokehplotting backend are called out in their own sections.

This is a hotfix release with a number of important bug fixes. Mostimportantly, this version supports for the recent pandas 1.3.0release. Many thanks to @kgullikson88, @philippjfr and @jlstevens forcontributing the fixes in this release.

Unfortunately a number of tile sources are no longer publiclyavailable. Attempting to use these tile sources will now issue warningsunless hv.config.raise_deprecated_tilesource_exception is set toTrue in which case exceptions will be raised instead.

The Wikipedia tile source is no longer available as it is no longerbeing served outside the wikimedia domain. As one of the mostfrequently used tile sources, HoloViews now issues a warning andswitches to the OpenStreetMap (OSM) tile source instead.

This release brings a number of major features including a newIbisInterface, new Plotly Dash support and greatly improved Plotlysupport, and greatly improved interaction and integration withDatashader. Many thanks to the many contributors to this release,whether directly by submitting PRs or by reporting issues and makingsuggestions. Specifically, we would like to thank @philippjfr,@jonmmease, and @tonyfast for their work on the IbisInterface and@jonmmease for improving Plotly support, as well as @kcpevey, @Hoxbro,@marckassay, @mcepl, and @ceball for various other enhancements,improvements to documentation and testing infrastructure. Inaddition, thanks to the maintainers @jbednar, @jlstevens and@philippjfr for contributing to this release. This version includes alarge number of new features, enhancements, and bug fixes.

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