vsi | simple interpreter for vsi language | Interpreter library

Looks like there was a mix-up with the credentials. Without (valid) credentials, reading public datasets is also not possible.

One way of authenticating is using a valid GS_ACCESS_KEY_ID + GS_SECRET_ACCESS_KEY combination for a service account with sufficient permissions.

These can be set as environment variables or stored in the .boto file.

If stored in the .boto file, this can be done manually

If someone is still looking for an answer to this question, I managed to find a workaround.

First of all, you need a .zip file which contains all the data related to your shapefile (.shp, .shx, .dbf, ...). Then, we use pyarrow to establish a connection to HDFS and fiona to read the zipped shapefile.

Package versions I'm using:

• pyarrow==2.0.0
• fiona==1.8.18

The code:

You are not able to scrape the table, because you are scraping the html of the table. Each row of the table is wrapped in a and each column value is wrapped in a within the . So you need to loop over each row and append each value to create a nested list of lists, in which each list is a row.

because it is casting the statement into list and the does a boolean check on the resulting list, so even if the inner elemnt is False, the list itself should return True because it is not empty, so even if the syntax is indeed confusing, python statements are available inside the if condition, so this is a valid syntax for python.

it is exactly like doing this:

Please Note:

1. First make sure that the baud rate used in the sketch is same as the baud rate used in the Serial Monitor
2. Use a delay of 10 milliseconds for stability: delay(10);
3. The val variable is int, so better to use Serial.printline with String Constructor as:

This topic is one in a series of questions on what appears to be a porting effort for an "C" application to Fortran on OpenVMS. In order to provide the best possible answers it may help to know a bit more background - WHY the effort is taking place, WHAT is the source platform?

That said, Environment Variables as most of us know them do NOT exist as such on OpenVMS. OpenVMS DCL SYMBOLS and User/group/system LOGICAL NAMES which can and will be treated as environment variables by support libraries such as available through the C-RTL, Perl and Python.

To define them, one expects a shell (DCL) action selecting either symbols or logical names as the vehicle. Knowing that mechanism the application to be ported may just want to call the native OpenVMS functions to get or set the values (SYS$TRNLNM, LIB$GET_SYMBOL, LIB$SET_SYMBOL).

Writing your own 'my_getenv' wrapper to call the C-RTL provided getenv may be a good solution if you have access to a C compiler.

Another workaround could be to reverse engineer and call the actual C support function (likely called DECC$GETENV - not verified!) this may require some initialization to be called first (again, not verified)

Surely there are more articles on this out there. Google? For some background on symbols and logicals the documentation and FAQ should help. For example - http://www.hoffmanlabs.org/vmsfaq/vmsfaq_012.html

Good luck, Hein.

I think what's happening here is that you're specifying your SSH public key as a filename rather than as an actual public key definition, so the provider is sending the literal string C:/Users/User.Name/ibmkey.pub as your key, rather than the contents of that file.

I'm not familiar enough with this provider to be sure, but I think it is expecting you to already have read that file and to pass its content as the public_key argument of ibm_is_ssh_key.

The two main options for how to proceed here would be to either pass the content of the file when you set the ssh_public_key variable, making it the caller's responsibility to read the file into memory first, or to change your module to read the given file into memory itself:

Yes, assuming df_a and df_b are both pyspark dataframes, you can use an inner join in pyspark:

Do two splits by removing the last space separated string and then remove the .vsi part

Something like this