ngc | Helper for create angular component using command line

Problem is because before offers there is other div with class="s-item__info clearfix" but without date, soldprice,shippingprice.

You have to add find to search only in offers

You need to install the tensorflow whl specific to aarch64 architecture. The prebuilt tensorflow binaries for aarch64 are provided by nvidia at the following location

https://developer.download.nvidia.com/compute/redist/jp/v44/

This link is for jetpack 4.4 (v44). Update the link based on the jetpack version you are using.

Your project is still using Angular 11, see the package.json in the linked repository. Updating to Angular 12 using ng update @angular/core @angular/cli @angular/material should fix the issue.

The issue was with tslib version not updating based on package.json; after manual update the error disappeared.

Tried almost everything... finally I'm importing the source and it looks like it wants the project folder inside the root directory and not from a path outside it, so I copied the project folder from the module repository under the root of my app and pointed to it

Specify to which controller and method your request should be referred

You need to send JSON data, you can use json = data with the python requests module. You also need to format the data into a dictionary:

Normally when I create a BehaviorSubject I just assign a type to it when initializing it. Try to it like this:

Okay, after a week of being utterly perplexed, I found a solution !

The problem was indeed the gridding. Every non-AGES cube I tried had no spectral coordinate problems with astropy or spectral-cube at all. I didn't think it would be so unusual to grid the data to have constant frequency channel width but varying velocity width, but apparently it is. What really baffled me was that if no transformation is applied to the axis then the values are correct, but if any keywords are provided to the with_spectral_unit command - even if only to keep the cube in its native units - then the values are all wrong.

After trying every adjustment to the header I could think of, I found the miriad task velsw which can convert between different velocity axes. Directly setting the velocity convention that I wanted (optical) did not work, giving a similar - though not identical - error to the spectral-cube conversion. However, the task instructions give a warning that "non-linear axes are only correct to first-order at the reference point". So the answer is to convert to frequency, which in this data is linear. Then spectral-cube can handle the conversion back to velocity with near-as-dammit perfect accuracy.

Using velsw is a fast and easy workaround as it only transforms the header values (it doesn't regrid the data). The downside is that one first has to convert to miriad's own format and back to fits (using the fits task for anyone unfamiliar with miriad). I imagine it should be possible to convert the header values directly using spectral-cube to skip this step, but I'll post a separate question if I can't figure out how to do that.