nst | Neural Style Transfer | Machine Learning library

tidyverse way of doing it.

When you find a way to resolve the Error 401 Unauthorized, following code should print you out the invite key / whatever:

If you run this on the simulator rather than the preview, you get a more helpful error:

Your PRINT token can only be matched by the blk_expr rule through this path:

There is no path for retblock_expr to recognize anything that begins with the PRINT token.

As a result, it will not matter which order you have elk_expr or retblock_expr.

There is no parser rule in your grammar that will match a PRINT token followed by a LPR token. a block_expr is matched by the program rule, and it only matches (ignoring wsp) block_expr or retblock_expr. Neither of these have alternatives that begin with an LPR token, so ANTLR can't match that token.

print(...) would normally be matched as a function call expression that accepts 0 or more comma-separated parameters. You have no sure rule/alternative defined. (I'd guess that it should be an alternative on either retblock_expr or block_expr

That's the immediate cause of this error. ANTLR really does not have any rule/alternative that can accept a LPR token in this position.

Both global and a are listed in your grammer under kwr rule.

kwr is mentioned in the inl rule which isn't used anywhere. So your parser don't know how to deal with inl and don't know what to do with two inl chained together (global a)

The problem is that the columns you have for the pd.DataFrame you fetch from the url are;

['time', 'latitude', 'longitude', 'depth', 'mag', 'magType', 'nst', 'gap', 'dmin', 'rms', 'net', 'id', 'updated', 'place', 'type', 'horizontalError', 'depthError', 'magError', 'magNst', 'status', 'locationSource', 'magSource']

Which does not match with the column names you inserted into the drop function. Reformat the column names [" magType "," nst"," gap"," dmin "," rms"," place "," type " ," horizontalError "," depthError "," magError "," magNst "," status "," locationSource "," magSource "," net","id"," updated "] in the drop function exactly matching with your pd.DataFrame object data.

PS: You might wanna look into fstrings or .format. That will make your code look a lot cleaner.

Second PS: You also might want to not recursively concatanate data. As data gets bigger, the process will be remarkable slower. The better way to do it is create a list (e.g. dfList) and append the list with the dataframes you fetch from the urls. And then use the function pd.concat(dfList). Cheers!

They can be controlled using omi and mai parameters of the par function. We set par(mfrow=c(3,1), omi=c(2,.3,.1,.3), mai=c(.5,0,.2,0)). omi refers to the outer margins of the whole page, and mai refers to the inner margins in each individual plot. They are always in the order c(lower, left, upper, right); consult ?par for details. This is the best I could get it to look...

I found to resolve the bugs I was having I had to change the width of the spacer divs from

There are two values "Europe/London" since as you said there is abbreviation for winter GMT as well as for day light saving summer with abbreviation BST. So returning some first key from dictionary won't work since you have no possibility to determine which is suitable for you (at least if you don't want hard-coded solution).

What you are looking for is method abbreviation() which returns correct abbreviation for your TimeZone if it knows its identifier and you have correct Locale.

And this is what you are maybe confused about. It simply doesn't work for for example TimeZone(secondsFromGMT: 3600). This is because GMT+1 simply doesn't identify if it is BST for England in summer or e.g. CET used for Czech Republic in winter, you just said that it is one hour from GMT. You have to create TimeZone using TimeZone(identifier:) in order to specify identifier.

But, user uses his device already has TimeZone.current which returns time zone which knows its identifier and he also has Locale which knows his abbreviation, so you don't have to worry that user would see something like GMT+1 for Europe/London instead of BST or GMT-8 for America/Los_Angeles instead of PST

To show you how it works for different identifiers and for different seasons I used method abbreviation(for:) for given Date where 1577836800 representing date in winter and 1595289600 date in summer: